{"title":"Camera","description":null,"products":[{"product_id":"orbbec3d-3d-kamera-astra-stereo-s-u3","title":"Orbbec Astra Stereo S U3 - 3D camera, USB 3.0, 0.4-3 m","description":"\u003ch3\u003eProduct overview\u003c\/h3\u003e \u003cul\u003e \u003cli\u003e3D camera with a stereo vision principle for real-time capture of depth data and color video\u003c\/li\u003e \u003cli\u003eUSB-3.0 interface for direct connection to computers and single-board computers\u003c\/li\u003e \u003cli\u003eDetection range from 0.4 to 3.0 meters, suitable for short- and medium-range applications\u003c\/li\u003e \u003cli\u003eOutput as structured data for processing in real-time applications\u003c\/li\u003e \u003cli\u003eTwo fully synchronized sensor arrays (stereo principle) without external calibration\u003c\/li\u003e \u003c\/ul\u003e \u003ch3\u003eProduct description\u003c\/h3\u003e \u003cp\u003eThe stereo 3D camera simultaneously captures depth data and color video using two synchronized sensor arrays. The stereo vision principle calculates spatial depth from the differences between the two sensor images. The USB-3.0 interface connects the camera directly to the computer, where image data and depth values are available as structured data streams.\u003c\/p\u003e \u003cp\u003eThe detection range extends from 0.4 to 3.0 meters. This enables use in indoor environments and workspaces, but excludes large open areas or long-distance measurements. The lack of calibration after delivery saves preparation time; the stereo geometry is fixed at the factory.\u003c\/p\u003e \u003cp\u003eUse cases include robot navigation, obstacle detection in mobile systems, 3D capture for image processing, and motion detection in laboratory applications. Anyone prototyping a system with live depth processing, for example for person recognition or gesture recognition, can use the data immediately after USB transmission.\u003c\/p\u003e \u003cp\u003eThe camera requires a USB-3.0 port on the target computer and sufficient CPU capacity to process the real-time data streams. The manufacturer's corresponding software library is required for application development. At detection distances below 0.4 meters or above 3.0 meters, the stereo method does not work reliably.\u003c\/p\u003e \u003ch3\u003eSafety information\u003c\/h3\u003e \u003cp\u003eThis camera is intended exclusively for building prototypes and for testing and development purposes, not for continuous use in production systems. Prolonged direct exposure to the active sensor may cause eye irritation. If you have questions about integration into existing systems, contact a qualified electrician.\u003c\/p\u003e \u003ch4\u003eScope of delivery\u003c\/h4\u003e \u003cul\u003e \u003cli\u003e1 x Orbbec Astra Stereo S U3 3D camera\u003c\/li\u003e \u003c\/ul\u003e","brand":"Funduino","offers":[{"title":"Default Title","offer_id":65997926203741,"sku":"F23110190","price":79.69,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1074\/5649\/5965\/files\/orbbec3d-3d-kamera-astra-stereo-s-u3-funduino-3762751.png?v=1791493874"},{"product_id":"raspberry-pi-30w-kamera-modul-ov7670","title":"OV7670 camera module - 640 x 480 pixels, 3,3 V, I2C","description":"\u003ch3\u003eProduct overview\u003c\/h3\u003e \u003cul\u003e \u003cli\u003eCamera module with a 0.3-megapixel sensor for single-board computers and microcontrollers\u003c\/li\u003e \u003cli\u003eResolution: 640 * 480 pixels\u003c\/li\u003e \u003cli\u003eField of view: 60 degrees\u003c\/li\u003e \u003cli\u003eConnection via parallel data line and I2C bus\u003c\/li\u003e \u003cli\u003eOperating voltage: 3.3 V\u003c\/li\u003e \u003cli\u003eCompact design for space-constrained projects\u003c\/li\u003e \u003c\/ul\u003e \u003ch3\u003eProduct description\u003c\/h3\u003e \u003cp\u003eThe camera module with an OV7670 sensor captures images at VGA resolution and connects to single-board computers or development boards via data and control lines. The sensor outputs digital RGB or YUV data in parallel, while the I2C interface handles register settings for exposure and color values. The 3.3 V logic requires a suitable level shifter if the board uses 5 V buffers.\u003c\/p\u003e \u003cp\u003eThe 640 * 480-pixel resolution is suitable for real-time image processing because the data volumes remain manageable. At typical distances of 30 to 50 cm, the 60-degree field of view still captures details across an area approximately 35 to 60 cm wide. In applications such as motion detection or simple object tracking, the processing load remains low enough on the microcontroller for live processing.\u003c\/p\u003e \u003cp\u003eSpecific areas of application include indoor robot navigation, where the sensor detects obstacles or markers, as well as inspection projects with a fixed camera that regularly documents patterns or changes in condition. Hobby applications such as simple motion detectors or image-buffered monitoring also work with this module.\u003c\/p\u003e \u003cp\u003eIn addition to the board, data bus management for the eight to ten parallel lines and drivers for I2C control are required. The sensor must be mounted on a stable mechanical bracket, as vibrations can noticeably reduce image quality. Code libraries for the OV7670 are available for common development environments, but may require considerable customization depending on the board.\u003c\/p\u003e \u003ch3\u003eSafety information\u003c\/h3\u003e \u003cp\u003eThe module operates exclusively with 3.3 V logic levels; direct connection to 5 V levels will cause damage. The device is intended exclusively for prototyping as well as testing and development purposes. Work on electrical systems must be carried out by qualified electricians; if you have questions about safely integrating the module into larger systems, consult a qualified electrician before commissioning.\u003c\/p\u003e \u003ch4\u003eScope of delivery\u003c\/h4\u003e \u003cul\u003e \u003cli\u003e1x Raspberry Pi 30W Camera Module OV7670\u003c\/li\u003e \u003c\/ul\u003e","brand":"Funduino","offers":[{"title":"Default Title","offer_id":65997955072349,"sku":"F23108743","price":3.78,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1074\/5649\/5965\/files\/raspberry-pi-30w-kamera-modul-ov7670-funduino-1059916.png?v=1791496306"},{"product_id":"kamera-modul-fur-raspberry-pi-zero-mit-5mp","title":"5 MP camera module for Raspberry Pi Zero - CSI, fixed focus","description":"\u003ch3\u003eProduct Overview\u003c\/h3\u003e \u003cul\u003e \u003cli\u003eCamera module for single-board computers, 5-megapixel resolution\u003c\/li\u003e \u003cli\u003eConnects via ribbon cable to the CSI interface\u003c\/li\u003e \u003cli\u003eFixed focus, no moving parts\u003c\/li\u003e \u003cli\u003eDimensions 25 * 24 * 9 mm, extremely compact\u003c\/li\u003e \u003cli\u003eCaptures images and videos without an additional power supply\u003c\/li\u003e \u003c\/ul\u003e \u003ch3\u003eProduct Description\u003c\/h3\u003e \u003cp\u003eThe camera module adds the ability to take photos and videos to a Raspberry Pi Zero. The 5-megapixel camera connects directly to the board's CSI interface via the ribbon cable, so no additional interface cards or USB adapters are required. Its compact design also fits in confined installation spaces.\u003c\/p\u003e \u003cp\u003eThe module uses a camera with fixed focal length and no moving optics. This eliminates focusing procedures and calibration steps. The frame rate of 30 frames per second at Full HD resolution is sufficient for real-time applications. A wide-angle lens with a field of view of approximately 53 degrees also captures larger areas from short distances.\u003c\/p\u003e \u003cp\u003eTypical applications include monitoring rooms or outdoor areas, material inspection and visual quality control, and building simple autonomous vehicles with image processing. The module is also suitable as a documentation camera for long-term measurements or as a live-stream source over a network. A project for automatic plant recognition, for example, requires essentially the same basic equipment.\u003c\/p\u003e \u003cp\u003eUse requires the Raspberry Pi imaging software to be installed; it is already included in current operating system versions. Connecting the ribbon cable requires care to prevent damage; protective caps should not be misplaced during work. A stable power supply for the Raspberry Pi remains necessary, as the camera draws its power through the interface.\u003c\/p\u003e \u003ch3\u003eSafety Notice\u003c\/h3\u003e \u003cp\u003eThe module is sensitive to electrostatic discharge; observe antistatic precautions when handling it. This camera module is intended exclusively for building prototypes and for testing and development purposes, not for operation in safety-critical systems without appropriate additional validation.\u003c\/p\u003e \u003ch4\u003eScope of Delivery\u003c\/h4\u003e \u003cul\u003e \u003cli\u003e1x camera module for Raspberry Pi Zero with 5MP\u003c\/li\u003e \u003c\/ul\u003e","brand":"Funduino","offers":[{"title":"Default Title","offer_id":66044196782429,"sku":"F23108415","price":16.11,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1074\/5649\/5965\/files\/kamera-modul-fuer-raspberry-pi-zero-mit-5mp-funduino-3984554.png?v=1791488845"},{"product_id":"kamera-modul-fur-raspberry-pi-3-mit-5mp","title":"5 MP camera module for Raspberry Pi - CSI connection, 1080p30","description":"\u003ch3\u003eProduct overview\u003c\/h3\u003e \u003cul\u003e \u003cli\u003e5-megapixel camera module for Raspberry Pi boards\u003c\/li\u003e \u003cli\u003eConnection via 15-pin ribbon cable to the CSI interface\u003c\/li\u003e \u003cli\u003eStill images up to 2592*1944 pixels, video in 1080p30, 720p60 and 640*480p60\/90\u003c\/li\u003e \u003cli\u003eFixed lens, focused at the factory\u003c\/li\u003e \u003cli\u003eCompact design for mobile and space-constrained setups\u003c\/li\u003e \u003c\/ul\u003e \u003ch3\u003eProduct description\u003c\/h3\u003e \u003cp\u003eThis camera module converts light into digital images using its image sensor and transmits them directly to the CSI interface of a Raspberry Pi. The separate camera interface is designed for fast image and video transmission and does not burden the board's USB or GPIO ports.\u003c\/p\u003e \u003cp\u003eThe sensor captures still images with a resolution of up to 2592*1944 pixels. Several operating modes are available for video: Full HD at 30 frames per second, 720p at 60 frames per second, or 640*480 pixels at 60 or 90 frames per second. The lens is permanently installed and factory-focused, so subsequent focusing is not required.\u003c\/p\u003e \u003cp\u003eThe module is connected directly to the camera slot using the included ribbon cable. Before use, the camera interface must be activated in the Raspberry Pi operating system. The module can then be accessed using the system's camera tools or programming interfaces. Its small size also makes the module suitable for mobile setups or robotics projects, as well as stationary monitoring and image capture for detecting objects or movement.\u003c\/p\u003e \u003ch3\u003eSafety notice\u003c\/h3\u003e \u003cp\u003eThe module is intended exclusively for building prototypes and for testing and development purposes on the Raspberry Pi. Work on the electrical installation must be carried out by qualified electricians. If you are unsure about commissioning, consult a qualified electrician before activating the module for the first time.\u003c\/p\u003e","brand":"Funduino","offers":[{"title":"Default Title","offer_id":66044424126813,"sku":"F23108467","price":22.38,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1074\/5649\/5965\/files\/kamera-modul-fuer-raspberry-pi-3-mit-5mp-funduino-3684717.jpg?v=1791488086"},{"product_id":"kamera-modul-fur-raspberry-mini-mit-5mp","title":"5 MP camera module for Raspberry Pi - CSI connection, Full HD","description":"\u003ch3\u003eProduct overview\u003c\/h3\u003e \u003cul\u003e \u003cli\u003e5-megapixel camera module for single-board computers with flexible ribbon cable\u003c\/li\u003e \u003cli\u003eImage sensor with a 2.36 mm diagonal\u003c\/li\u003e \u003cli\u003eConnection via CSI interface\u003c\/li\u003e \u003cli\u003e54-degree horizontal field of view\u003c\/li\u003e \u003cli\u003eStill images and video in Full HD at up to 30 frames per second\u003c\/li\u003e \u003cli\u003eAutomatic exposure and white balance without manual calibration\u003c\/li\u003e \u003c\/ul\u003e \u003ch3\u003eProduct description\u003c\/h3\u003e \u003cp\u003eA 5-megapixel camera module adds image capture capabilities for photography and video recording to single-board computers. The module connects via the CSI interface (Camera Serial Interface), a specialized high-speed connection that handles the data rate for uncompressed image data without occupying the regular GPIO pins.\u003c\/p\u003e \u003cp\u003eThe small image sensor with a 2.36 mm diagonal delivers images of up to 2560 by 1920 pixels in high resolution. At the same time, its 54-degree horizontal field of view is designed for close-ups and general overview shots, not for wide-angle applications. Automatic exposure and white balance adapt to the lighting conditions without requiring calibration steps.\u003c\/p\u003e \u003cp\u003eTypical applications include autonomous robots that need to perceive their surroundings, weather stations with webcam functionality, and projects involving image processing and object recognition. This module can be used to build a surveillance camera that records Full HD video at up to 30 frames per second.\u003c\/p\u003e \u003cp\u003eA single-board computer with an available CSI interface and appropriate software support is required. The ribbon cable must not be bent or pinched, as it contains sensitive signal lines. Sufficient RAM and mass storage must be available for image processing or storing longer video sequences.\u003c\/p\u003e \u003ch3\u003eSafety information\u003c\/h3\u003e \u003cp\u003eThe module must not be installed in the household electrical circuit and is intended exclusively for prototypes and testing and development purposes. The image sensor may be damaged by direct sunlight during longer exposures. Electrical work on or near electrical systems must be carried out by qualified electricians; if in doubt, consult a qualified electrician before commissioning.\u003c\/p\u003e","brand":"Funduino","offers":[{"title":"Default Title","offer_id":66044809576797,"sku":"F23108863","price":24.56,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1074\/5649\/5965\/files\/kamera-modul-fuer-raspberry-mini-mit-5mp-funduino-6656799.png?v=1791488404"},{"product_id":"fpv-kamera-b19-mini-1-3-cmos-sensor-2-1mm-objektiv-orange","title":"B19 Mini FPV Camera - 1\/3 CMOS sensor, 2.1 mm lens, orange","description":"\u003ch3\u003eProduct overview\u003c\/h3\u003e \u003cul\u003e \u003cli\u003eFPV camera with 1\/3 CMOS sensor for real-time video transmission\u003c\/li\u003e \u003cli\u003e2.1 mm focal length for a wide field of view\u003c\/li\u003e \u003cli\u003eCompact design, approximately the size of a matchbox\u003c\/li\u003e \u003cli\u003eLow operating voltage of 5 V, low power consumption below 100 mA\u003c\/li\u003e \u003cli\u003eComposite video output for direct connection to FPV transmitters and monitors\u003c\/li\u003e \u003c\/ul\u003e \u003ch3\u003eProduct description\u003c\/h3\u003e \u003cp\u003eThis FPV camera uses a 1\/3 CMOS sensor to transmit moving images in real time over short distances. The 2.1 mm lens provides a wide field of view, which is particularly helpful for orientation during fast movements. Its compact size allows installation in aircraft and vehicles without any significant additional weight.\u003c\/p\u003e \u003cp\u003eThe system uses composite video (CVBS), an established connection standard between the camera and a transmitter or monitor. The 5 V power supply makes operation with common flight batteries or the onboard power systems of mobile applications straightforward, without the need for additional voltage converters. Power consumption remains low enough not to noticeably reduce flight times.\u003c\/p\u003e \u003cp\u003eTypical applications include drone flight systems with FPV functionality, where the pilot flies using the camera's view, as well as remote-controlled vehicles for real-time navigation over longer distances. The wide field of view also supports close-range monitoring, for example when inspecting confined spaces or pipes. In all cases, the camera serves as the interface between the physical operating location and the remote pilot station.\u003c\/p\u003e \u003cp\u003eOperation requires an FPV transmitter on the 5.8 GHz band or a radio link that complies with the relevant standard, as well as a receiver with a monitor, headset, or goggles. Video quality depends on the ambient lighting conditions; dark scenes or scenes with strong backlighting are more difficult to illuminate properly. No special requirements for mechanical protection or sealing apply.\u003c\/p\u003e \u003ch3\u003eSafety notice\u003c\/h3\u003e \u003cp\u003eThe camera and power supply must not be connected to mains voltage. The device is intended exclusively for building prototypes and for testing and development purposes. Operation and maintenance require care when working with electrical circuits; if you are unsure, consult a qualified electrician.\u003c\/p\u003e \u003ch4\u003eScope of delivery\u003c\/h4\u003e \u003cul\u003e \u003cli\u003e1x FPV camera B19 Mini, 1\/3 CMOS sensor, 2.1mm lens - Orange, including screws, wiring, and control board\u003c\/li\u003e \u003c\/ul\u003e","brand":"Funduino","offers":[{"title":"Default Title","offer_id":66044987081053,"sku":"F23107792","price":23.52,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1074\/5649\/5965\/files\/fpv-kamera-b19-mini-13-cmos-sensor-21mm-objektiv-orange-funduino-9596545.png?v=1791488488"},{"product_id":"huskylens-k210-ai-kamera-von-dfrobot","title":"DFRobot HuskyLens AI camera - K210, Gravity connector","description":"\u003cp\u003e\u003cstrong\u003eGravity: HuskyLens K210 AI Camera - AI Vision for Schools \u0026amp; Vocational Training\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eHuskyLens is a plug-and-play AI camera (vision sensor), particularly for classroom and vocational training use: learners can train their own recognitions in just a few seconds without complicated modeling or setup - simply point the camera, press the Learning button, and see the result directly on the screen. This makes topics such as artificial intelligence, sensors, robotics, and automation immediately tangible in practice.\u003c\/p\u003e \u003cp\u003eThe camera is ideal for schools (secondary levels I\/II) and vocational training (e.g. mechatronics\/IT\/electronics), as it can be very easily combined with other projects, such as those using Arduino or Raspberry Pi. \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eKey features\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003e- Immediate feedback on the integrated 2.0\" IPS color display: learners can see directly what is being recognized and quickly debug projects - even without a PC at their workstation.\u003c\/p\u003e \u003cp\u003e- Edge AI on the device thanks to the Kendryte K210: processing takes place locally, in real time - without a permanent internet connection.\u003c\/p\u003e \u003cp\u003e- Easy to integrate into existing learning platforms: compatible with micro:bit, Arduino, and Raspberry Pi (connection via UART\/I²C).\u003c\/p\u003e \u003cp\u003e- Typical classroom \u0026amp; vocational training projects (practical, motivating)\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eHuskyLens brings “eyes” to your prototypes - ideal for project work, makerspaces, and exam preparation:\u003c\/p\u003e \u003cp\u003eFace recognition: e.g. “Smart Locker”\/access control (data topics: discuss training, error rates, bias)\u003c\/p\u003e \u003cp\u003eObject tracking \u0026amp; object recognition: robot follows a person \/ sorts components or workpieces\u003c\/p\u003e \u003cp\u003eLine tracking: AGV\/vehicle demo for logistics \u0026amp; automation\u003c\/p\u003e \u003cp\u003eColor recognition: sorting system, quality control on a mini “production line”\u003c\/p\u003e \u003cp\u003eTag\/QR code recognition: station-based activities, interactive learning posters, inventory systems\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eTechnical highlights (for materials lists \u0026amp; lesson preparation)\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eProcessor: Kendryte K210\u003c\/p\u003e \u003cp\u003eCamera: OV2640, 2.0 MP\u003c\/p\u003e \u003cp\u003eDisplay: 2.0\" IPS, 320×240\u003c\/p\u003e \u003cp\u003eInterfaces: UART, I²C\u003c\/p\u003e \u003cp\u003ePower supply: 3.3–5.0 V\u003c\/p\u003e \u003cp\u003eAlgorithms (integrated): Face Recognition, Object Tracking\/Recognition, Line Tracking, Color Recognition, Tag Recognition\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eLearning ecosystem \u0026amp; teaching materials\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eFor a quick start, the manufacturer offers numerous free step-by-step tutorials (40+) as well as courses, including MakeCode\/Mind+ (block-based) and robotics pathways (English).\u003c\/p\u003e \u003cp\u003eHuskyLens is a robust, easy-to-use AI camera for STEM education and vocational training that translates artificial intelligence from theory directly into working robotics and automation projects.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003ch3 data-start=\"0\" data-end=\"32\"\u003eTechnical specifications (overview)\u003c\/h3\u003e \u003cul data-start=\"98\" data-end=\"670\"\u003e \u003cli data-start=\"98\" data-end=\"141\"\u003e \u003cp data-start=\"100\" data-end=\"141\"\u003eProcessor \/ Edge AI: Kendryte K210\u003c\/p\u003e \u003c\/li\u003e \u003cli data-start=\"142\" data-end=\"239\"\u003e \u003cp data-start=\"144\" data-end=\"239\"\u003eImage sensor: OV2640 (2.0 MP) \u003cem data-start=\"176\" data-end=\"236\"\u003e(the Wiki also sometimes mentions OV2640\/GC0328 depending on the version)\u003c\/em\u003e\u003c\/p\u003e \u003c\/li\u003e \u003cli data-start=\"240\" data-end=\"296\"\u003e \u003cp data-start=\"242\" data-end=\"296\"\u003eDisplay: 2.0\" IPS color display, 320 × 240 px\u003c\/p\u003e \u003c\/li\u003e \u003cli data-start=\"297\" data-end=\"340\"\u003e \u003cp data-start=\"299\" data-end=\"340\"\u003eSupply voltage: 3.3–5.0 V\u003c\/p\u003e \u003c\/li\u003e \u003cli data-start=\"341\" data-end=\"412\"\u003e \u003cp data-start=\"343\" data-end=\"412\"\u003ePower consumption (typical): 320 mA @ 3.3 V \/ 230 mA @ 5 V\u003c\/p\u003e \u003c\/li\u003e \u003cli data-start=\"413\" data-end=\"467\"\u003e \u003cp data-start=\"415\" data-end=\"467\"\u003eInterfaces: UART, I²C (Gravity 4-Pin)\u003c\/p\u003e \u003c\/li\u003e \u003cli data-start=\"468\" data-end=\"522\"\u003e \u003cp data-start=\"470\" data-end=\"522\"\u003eUSB: for power supply and firmware updates\u003c\/p\u003e \u003c\/li\u003e \u003cli data-start=\"523\" data-end=\"569\"\u003e \u003cp data-start=\"525\" data-end=\"569\"\u003eDimensions: 52 × 44.5 mm (board)\u003c\/p\u003e \u003c\/li\u003e \u003cli data-start=\"570\" data-end=\"670\"\u003e \u003cp data-start=\"572\" data-end=\"670\"\u003eScope of delivery (short): camera, mounting bracket\/riser, screws\/nuts, Gravity 4-Pin cable\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eScope of delivery\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eHuskyLens AI Camera\u003c\/p\u003e \u003cp\u003eMounting bracket (small) + riser bracket\u003c\/p\u003e \u003cp\u003eScrews\/nuts (M3)\u003c\/p\u003e \u003cp\u003eGravity 4-Pin Sensor Cable\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eGuides and tutorials:\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eOfficial DFRobot Documentation (EN) – reference\/manual\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eDFRobot Wiki: HuskyLens V1.0 (Main Documentation) – modes, UART\/I²C, examples.\u003cbr\u003ehttps:\/\/wiki.dfrobot.com\/HUSKYLENS_V1.0_SKU_SEN0305_SEN0336\u003c\/p\u003e \u003cp\u003eHuskyLens WIKI Document (PDF) – manual as a PDF (offline\/printable).\u003cbr\u003ehttps:\/\/raw.githubusercontent.com\/DFRobot\/Wiki\/master\/SEN0305\/res\/HuskyLens%20WIKI%20Document.pdf\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eCalliope mini (DE) – teaching materials \u0026amp; learning paths\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eCalliope: AI Page (HuskyLens in the Classroom) – overview \u0026amp; introduction.\u003cbr\u003ehttps:\/\/calliope.cc\/schulen\/ki\u003c\/p\u003e \u003cp\u003eFace Recognition – step-by-step lesson unit.\u003cbr\u003ehttps:\/\/calliope.cc\/schulen\/unterrichtsmaterial\/7-1-gesichtserkennung\u003c\/p\u003e \u003cp\u003eColor Recognition – step-by-step lesson unit.\u003cbr\u003ehttps:\/\/calliope.cc\/schulen\/unterrichtsmaterial\/7-2-farberkennung\u003c\/p\u003e \u003cp\u003eObject Recognition – step-by-step lesson unit.\u003cbr\u003ehttps:\/\/calliope.cc\/schulen\/unterrichtsmaterial\/7-3-objekterkennung\u003c\/p\u003e \u003cp\u003eWorksheet (PDF) Color Recognition – easy to print as a handout\/activity station.\u003cbr\u003ehttps:\/\/calliope.cc\/download.php?file=schule%2F7_2%2FPAP-HuskyLens-Farberkennung.pdf\u003c\/p\u003e \u003cp\u003einf-schule: Getting Started with HuskyLens – connection, tips, classroom setup.\u003cbr\u003ehttps:\/\/inf-schule.de\/nkso\u003c\/p\u003e \u003cp\u003einf-schule: Face Recognition Learning Path – exercises + MakeCode blocks.\u003cbr\u003ehttps:\/\/inf-schule.de\/informatiksysteme\/calliope\/projekte\/KI_Kamera\/lernstrecke\/Gesichtserkennung\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003emicro:bit (EN) – MakeCode, extensions \u0026amp; projects\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eMakeCode Package: HuskyLens Extension – can be imported directly into MakeCode.\u003cbr\u003ehttps:\/\/makecode.microbit.org\/pkg\/dfrobot\/pxt-dfrobot_huskylens\u003c\/p\u003e \u003cp\u003eGitHub: pxt-DFRobot_HuskyLens (Extension-Repo) – source code\/issues\/updates.\u003cbr\u003ehttps:\/\/github.com\/DFRobot\/pxt-DFRobot_HuskyLens\u003c\/p\u003e \u003cp\u003eDFRobot Tutorial: HuskyLens 2 + micro:bit (MakeCode) – import, setup, examples.\u003cbr\u003ehttps:\/\/wiki.dfrobot.com\/Tutorial%20for%20HUSKYLENS%202%20and%20micro%3Abit%20Graphical%20Programming%28MakeCode%29\u003c\/p\u003e \u003cp\u003eInstructables: micro:bit Visual Object Tracking with HuskyLens – project-based (tracking).\u003cbr\u003ehttps:\/\/www.instructables.com\/Microbit-Visual-Object-Tracking-With-Huskylens\/\u003c\/p\u003e \u003cp\u003eDFRobot Learn: Object Tracker (micro:bit + HuskyLens Study Pack) – tutorial article (project idea).\u003cbr\u003ehttps:\/\/learn.dfrobot.com\/makelog-308707.html\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eArduino (EN\/DE) – libraries \u0026amp; step-by-step tutorials\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eGitHub: HUSKYLENSArduino (Arduino API \/ Library) – core library + examples.\u003cbr\u003ehttps:\/\/github.com\/HuskyLens\/HUSKYLENSArduino\u003c\/p\u003e \u003cp\u003eDFRobot Tutorial: HuskyLens 2 + Arduino IDE (Code Programming) – library setup + example code.\u003cbr\u003ehttps:\/\/wiki.dfrobot.com\/Tutorial%20for%20HUSKYLENS%202%20and%20Arduino%20Code%20Programming%20%28Arduino%20IDE%29\u003c\/p\u003e \u003cp\u003eDFRobot Tutorial: HuskyLens 2 + Arduino (Mind+) – graphical programming (Upload Mode).\u003cbr\u003ehttps:\/\/wiki.dfrobot.com\/Tutorial%20for%20HuskyLens%202%20And%20Arduino%20Graphical%20Programming%20%20%28Mindplus%29\u003c\/p\u003e \u003cp\u003eMakerGuides: Getting Started with HuskyLens 2 + Arduino\/ESP32 – practical (wiring\/querying).\u003cbr\u003ehttps:\/\/www.makerguides.com\/getting-started-with-huskylens-2-and-arduino-esp32\/\u003c\/p\u003e \u003cp\u003eDroneBot Workshop: HuskyLens – good explanation + Arduino project ideas.\u003cbr\u003ehttps:\/\/dronebotworkshop.com\/huskylens\/\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eRaspberry Pi (EN) – Python \u0026amp; I²C tutorials\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eGitHub: HUSKYLENSPython – Python library for HuskyLens.\u003cbr\u003ehttps:\/\/github.com\/HuskyLens\/HUSKYLENSPython\u003c\/p\u003e \u003cp\u003eRaspberry Pi Tutorial (in the repo) – I²C setup \u0026amp; step-by-step guide.\u003cbr\u003ehttps:\/\/github.com\/HuskyLens\/HUSKYLENSPython\/blob\/master\/Raspberry%20Pi%20Tutorial.md\u003c\/p\u003e \u003cp\u003eSparkFun: qwiic_huskylens_py – Python\/MicroPython\/CircuitPython implementation.\u003cbr\u003ehttps:\/\/github.com\/sparkfun\/qwiic_huskylens_py\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eMind+ (EN) – block programming (for classes\/clubs)\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eMind+ Download (official) – installation files for Windows\/macOS\/Linux.\u003cbr\u003ehttps:\/\/mindplus.cc\/en\/download.html\u003c\/p\u003e \u003cp\u003eMind+ (DFRobot) – Tutorial\/Homepage – official documentation \u0026amp; learning paths.\u003cbr\u003ehttps:\/\/mindplus.dfrobot.com\/\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e","brand":"DFRobot","offers":[{"title":"Default Title","offer_id":66045547217245,"sku":"F25111095","price":46.9,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1074\/5649\/5965\/files\/huskylens-k210-ai-kamera-von-dfrobot-funduino-7429850.jpg?v=1791489527"},{"product_id":"1200tvl-mini-kamera-fpv-racing-drohnen-25x25mm-16-9-pal-ntsc-5v-12v","title":"FPV camera 1200TVL - 25 x 25 mm, PAL and NTSC, 5-12 V","description":"\u003ch3\u003eProduct Overview\u003c\/h3\u003e \u003cul\u003e \u003cli\u003eMiniature camera for FPV drones with 1200 pixels of vertical resolution\u003c\/li\u003e \u003cli\u003e25 * 25 mm dimensions for compact racing drones\u003c\/li\u003e \u003cli\u003eFast frame rate for smooth live video while flying\u003c\/li\u003e \u003cli\u003eAnalog video output for direct connection to an FPV transmitter\u003c\/li\u003e \u003cli\u003eOperating voltage: 5 to 12 V\u003c\/li\u003e \u003c\/ul\u003e \u003ch3\u003eProduct Description\u003c\/h3\u003e \u003cp\u003eThis miniature camera with 1200 pixels of vertical resolution was specially developed for racing drones. Its compact 25 * 25 mm dimensions fit into tight drone frames without adding significant weight or taking up much space. The high frame rate ensures smooth live video during fast flight, without motion blur or latency.\u003c\/p\u003e \u003cp\u003eThe camera module uses analog video output and feeds its signal directly into an FPV transmitter, enabling wireless transmission to video goggles or a monitor. This eliminates the need for digital signal processing in the drone. Power is supplied by the aircraft battery; the input voltage range of 5 to 12 V covers common Li-Po battery packs.\u003c\/p\u003e \u003cp\u003eCommon applications include drone racing, where low latency and image quality are crucial, as well as documenting indoor spaces with racing drones. The module is also used in smaller inspection aircraft, where its low weight is relevant. The sensor still delivers usable video even during rapid movements.\u003c\/p\u003e \u003cp\u003eIn addition to the camera module, a suitable FPV transmitter and power supplied by the drone battery are required. Analog video has a low data rate, making operation with older systems possible, but compatibility between the connector types must be checked.\u003c\/p\u003e \u003ch3\u003eSafety Information\u003c\/h3\u003e \u003cp\u003eThis module is intended exclusively for installation in aircraft and for development and testing purposes. When working on the power supply and wiring, ensure correct polarity to prevent damage. For complex integration or if you are unsure about commissioning, consult a qualified electrician.\u003c\/p\u003e \u003ch4\u003eScope of Delivery\u003c\/h4\u003e \u003cul\u003e \u003cli\u003e1 x 1200TVL mini camera incl. mounting bracket and screws\u003c\/li\u003e \u003cli\u003e1 x cable\u003c\/li\u003e \u003c\/ul\u003e","brand":"Funduino","offers":[{"title":"Default Title","offer_id":66045590536541,"sku":"F23107788","price":13.56,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1074\/5649\/5965\/files\/1200tvl-mini-kamera-fpv-racing-drohnen-25x25mm169-pal-ntsc-5v-12v-funduino-9302034.png?v=1791489311"},{"product_id":"orbbec-astra-mini-s-inkl-kuhlkorper","title":"Orbbec Astra Mini S - 3D depth camera, USB 2.0, with heatsink","description":"\u003cdiv class=\"ux-layout-section-evo__row\"\u003e \u003cdiv class=\"ux-layout-section-evo__col\"\u003e \u003cdiv class=\"ux-labels-values__labels-content\"\u003e \u003cdiv class=\"ux-layout-section-evo__row\"\u003e \u003cdiv class=\"ux-layout-section-evo__col\"\u003e \u003cdiv class=\"ux-labels-values__labels-content\"\u003e \u003cp\u003eThe Orbbec Astra Mini S features a compact platform, making it ideal for numerous applications, including robotics, gesture control, 3D scanning, and point cloud development for mobile devices, ranging from schools and retail to industrial environments. The Astra Mini S version is specifically calibrated for short-range 3D scanning.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eSpecifications:\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eOperating voltage: 5 VDC\u003c\/li\u003e \u003cli\u003eConnectivity: USB 2.0\u003c\/li\u003e \u003cli\u003eFrame rate: 30 fps\u003c\/li\u003e \u003cli\u003eFeatures: Motion detection, MPN\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eTechnical data:\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003e\u003cspan\u003eOperating environment: \u003cspan\u003eIndoors\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e \u003cli\u003eRGB image resolution: \u003cspan\u003eUp to 640 x 480 at 30 fps\u003c\/span\u003e\n\u003c\/li\u003e \u003cli\u003e\u003cspan\u003e\u003cspan\u003e\u003cspan\u003eDepth resolution and frame rate\u003c\/span\u003e: \u003cspan\u003eUp to 30 fps at 640x480\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e \u003cli\u003ePower supply: USB 2.0\u003c\/li\u003e \u003cli\u003eData interface: USB 2.0\u003c\/li\u003e \u003cli\u003eSafety: Class 1 laser product\u003c\/li\u003e \u003cli\u003eOperating system: Android, Linux, Windows\u003c\/li\u003e \u003cli\u003eAccuracy: +\/- 3 mm @1 m\u003c\/li\u003e \u003cli\u003eOperating environment: Indoors\u003c\/li\u003e \u003cli\u003eDepth technology: Structured light\u003c\/li\u003e \u003cli\u003eDepth range: *0.6-5 m\u003c\/li\u003e \u003cli\u003eWavelength: 850 nm\u003c\/li\u003e \u003cli\u003eProcessor: Orbbec ASIC\u003c\/li\u003e \u003cli\u003eIMU: N \/ A\u003c\/li\u003e \u003cli\u003eSDK: Orbbec OpenNI SDK\u003c\/li\u003e \u003cli\u003eSpatial accuracy: ±3 mm at 1 m\u003c\/li\u003e \u003cli\u003eDepth field of view: H58.4° V45.5°\u003c\/li\u003e \u003cli\u003eRGB field of view: H63.1° V49.4°\u003c\/li\u003e \u003cli\u003ePower consumption: Average \u0026lt;2.4 W\u003c\/li\u003e \u003cli\u003eOperating temperature: 10 ℃ - 40 ℃\u003c\/li\u003e \u003cli\u003eDimensions (without heatsinks): 80mm x 20mm x 20mm\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eNotes:\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eThe cameras were installed for demonstration purposes and used only for testing. They are shipped without the original packaging. The standard statutory warranty applies.\u003c\/li\u003e \u003cli\u003eThe cameras have been fitted with heatsinks. If you want to remove them, simply twisting them is usually sufficient. Alternatively, we recommend using dental floss or briefly heating them with a hair dryer. \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eScope of delivery:\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003e1x Orbbec Astra Mini S, incl. heatsinks and USB cable\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e","brand":"ORBBEC3D","offers":[{"title":"Default Title","offer_id":66045612851549,"sku":"F23110371","price":69.5,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1074\/5649\/5965\/files\/orbbec-astra-mini-s-inkl-kuehlkoerper-funduino-8832210.png?v=1791490283"},{"product_id":"amg8833-ir-warmebildkamera-8x8-pixel","title":"AMG8833 thermal imaging camera - 8x8 pixels, -20 to 80 °C, I2C, 3.3 V","description":"\u003ch3\u003eProduct overview\u003c\/h3\u003e \u003cul\u003e \u003cli\u003eInfrared thermal imaging camera with an 8*8-pixel sensor for temperature measurement\u003c\/li\u003e \u003cli\u003eMeasuring range −20 to +80 °C\u003c\/li\u003e \u003cli\u003eDigital I2C interface, multiple modules can be connected to one bus\u003c\/li\u003e \u003cli\u003eIntegrated thermopile sensor technology without external calibration\u003c\/li\u003e \u003cli\u003eOperating voltage 3.3 V\u003c\/li\u003e \u003c\/ul\u003e \u003ch3\u003eProduct description\u003c\/h3\u003e \u003cp\u003eThe infrared thermal imaging sensor measures the temperature distribution of a scene without contact using its 64 individually addressable measurement points. The thermopile sensor technology eliminates the need for external calibration. Measurements are taken via the I2C interface, which allows multiple modules to operate in parallel on the same bus while requiring only two data lines.\u003c\/p\u003e \u003cp\u003eThe device operates with 3.3 V logic and requires a level shifter for control by 5 V boards. The small 8*8-pixel sensor area provides temperature resolution rather than spatial detail, but is sufficient for distinguishing between warm and cold zones. The resolution is approximately 0.5 °C.\u003c\/p\u003e \u003cp\u003eApplications include monitoring machine heat on a small scale, detecting movement through thermal radiation, assessing material properties using temperature measurements, and conducting energy audits on housings and contact points. In heating system monitoring, it can be used to check the condition of heating surfaces without having to lie next to them.\u003c\/p\u003e \u003cp\u003eOperation requires a microcontroller with I2C master functionality and a 3.3 V power supply. To evaluate the 64 measured values per scan, the firmware must convert the sensor data into a temperature field. Real-time thermal images with high resolution are not possible with this sensor.\u003c\/p\u003e \u003ch3\u003eSafety notice\u003c\/h3\u003e \u003cp\u003eThe sensor is not intended for installation in household electrical systems. Its use is limited to prototype construction and development purposes. 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Compared with the first generation, it offers significantly more processing power, a wider range of functions, and noticeably greater flexibility. At its core is a Kendryte K230 dual-core processor running at 1.6 GHz with 6 TOPS of AI processing power. This allows many image-processing tasks to be performed directly on the device - quickly, locally, and without relying on the cloud.\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eMore than 20 AI models are already integrated out of the box. These include face recognition, object detection, object tracking, color recognition, line tracking, gesture recognition, pose recognition, text and license plate recognition, QR code, barcode, and tag recognition, as well as additional functions for demanding vision projects. This makes the HUSKYLENS 2 suitable both for getting started quickly and for more complex applications in robotics, automation, and education.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eMore possibilities with powerful hardware\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eThe HUSKYLENS 2 is equipped with a 2 MP camera, a 2.4-inch IPS touchscreen with 640 x 480 pixels, an integrated microphone, 1W speaker, RGB LED, two fill lights, and a TF card slot. This makes it more than just a sensor - it is a versatile platform for interactive AI applications. Thanks to the modular camera unit, other camera modules can also be used depending on the application, for example for macro or night-vision scenarios.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eUse your own models and combine them with controllers\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eIn addition to its integrated functions, the HUSKYLENS 2 also supports loading your own trained models, including models based on YOLO. This allows you to train the camera specifically for individual objects, situations, or use cases. At the same time, connection remains simple: via UART and I2C, the HUSKYLENS 2 can be connected to Arduino, micro:bit, Raspberry Pi, ESP32, and other platforms.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eCompatibility\u003c\/strong\u003e\u003cbr\u003eArduino\u003cbr\u003emicro:bit\u003cbr\u003eRaspberry Pi\u003cbr\u003eESP32\u003cbr\u003eUNIHIKER\u003cbr\u003eUNIHIKER\u003c\/p\u003e \u003cp\u003eAnd many other systems\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eIdeal for education, robotics, and intelligent systems\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eThe HUSKYLENS 2 is suitable wherever visual information needs to be detected and processed reliably. Typical applications include educational projects, interactive systems, robotics applications, and the development of intelligent devices. 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Whether you're experimenting in a makerspace, teaching a class, or building a prototype: The cover helps absorb drops, impacts, dust, and splashes more effectively - while also reducing the risk of exposed components being accidentally knocked or short-circuited.\u003c\/p\u003e \u003cp\u003eThe design is intentionally compact, and its cute “dog face” look immediately catches the eye. 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For control, the sensor requires only a few control signals via the I2C-compatible SCCB interface, significantly reducing the effort required for operation. The image data is output in parallel via the 8-bit-wide DVP data bus, allowing a microcontroller to capture an entire image line in a single read cycle.\u003c\/p\u003e \u003cp\u003eOperation is only possible with voltages between 2.6 and 3.3 V; connecting it to 5 V logic therefore requires a level shifter for the control signals. The sensor is suitable for real-time applications such as robot vision, basic facial recognition, or motion detection. The module is also suitable for documenting test results or for live image capture in surveillance prototypes. The sensor reaches its limits under intense light exposure or in the infrared range.\u003c\/p\u003e \u003cp\u003eIn addition to the sensor, operation requires a microcontroller board, a suitable development environment, and libraries for controlling the image sensor. An additional test setup for checking image quality before integration can significantly speed up development.\u003c\/p\u003e \u003ch3\u003eSafety Information\u003c\/h3\u003e \u003cp\u003eThis module is intended exclusively for building prototypes and for testing and development purposes. Please note that work on or near the power supply must be carried out by a qualified electrician. If you are unsure about the correct power supply or wiring, consult a qualified electrician before commissioning.\u003c\/p\u003e \u003ch4\u003eScope of Delivery\u003c\/h4\u003e \u003cul\u003e \u003cli\u003e1x OV2640 2MP image sensor - camera module\u003c\/li\u003e \u003c\/ul\u003e","brand":"Funduino","offers":[{"title":"Default Title","offer_id":66045659152733,"sku":"F23108774","price":9.5,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1074\/5649\/5965\/files\/ov2640-bildsensor-mit-2mp-kamera-modul-funduino-9707106.jpg?v=1791492149"},{"product_id":"kamera-modul-mit-5-0mp-fur-raspberry-pi","title":"Camera module for Raspberry Pi - 5 MP, 1080p, CSI connector","description":"\u003ch3\u003eProduct Overview\u003c\/h3\u003e \u003cul\u003e \u003cli\u003eCamera module for single-board computers such as Raspberry Pi\u003c\/li\u003e \u003cli\u003e5.0-megapixel resolution\u003c\/li\u003e \u003cli\u003e1080p video recording at 30 frames per second\u003c\/li\u003e \u003cli\u003eCSI ribbon cable connection to the camera interface\u003c\/li\u003e \u003cli\u003eFixed focus distance from approximately 20 centimeters\u003c\/li\u003e \u003c\/ul\u003e \u003ch3\u003eProduct Description\u003c\/h3\u003e \u003cp\u003eThis camera module connects directly to the camera interface of a single-board computer and captures images and videos for surveillance or image-processing projects. The lens has a fixed focal length; close-up focusing at a distance of less than 20 centimeters from the subject is not intended.\u003c\/p\u003e \u003cp\u003eThe 5.0-megapixel resolution is sufficient for documentation and real-time image processing. Video recordings are made at 30 frames per second in 1080p resolution. For larger image sensors or higher frame rates, an alternative with different specifications must be selected.\u003c\/p\u003e \u003cp\u003eThe CSI connection via ribbon cable requires the computer to have a camera port; this is available on common models. On the software side, the usual free environment for image capture and processing is sufficient. Typical applications include real-time capture for motion detection, monitoring processes using time-lapse photography, or collecting data for image-processing training models.\u003c\/p\u003e \u003cp\u003eOperation requires a single-board computer with a suitable camera interface and the installation of the necessary camera drivers and software libraries. Mounting is carried out using mounting holes or clips, depending on the enclosure.\u003c\/p\u003e \u003ch3\u003eSafety Information\u003c\/h3\u003e \u003cp\u003eThe module is intended exclusively for building prototypes and for testing and development purposes. Radiation shielding is not provided. If you are uncertain about software integration or if the ribbon cable is damaged, consult a qualified electrician before commissioning.\u003c\/p\u003e \u003ch4\u003eScope of Delivery\u003c\/h4\u003e \u003cul\u003e \u003cli\u003eCamera module\u003c\/li\u003e \u003cli\u003e15 cm ribbon cable\u003c\/li\u003e \u003c\/ul\u003e","brand":"Funduino","offers":[{"title":"Default Title","offer_id":66045664166237,"sku":"F23108554","price":6.9,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1074\/5649\/5965\/files\/kamera-modul-mit-50mp-fuer-raspberry-pi-funduino-9092368.jpg?v=1791492177"},{"product_id":"kamera-18mp-ar1820hs-arducam-pivariety-rpi-4b-3b-etc-cm3-cm4","title":"AR1820HS Arducam Pivariety camera module - 18 MP, CSI, for Raspberry Pi","description":"\u003ch3\u003eProduct Overview\u003c\/h3\u003e \u003cul\u003e \u003cli\u003e18-megapixel camera with a 1\/2-inch sensor for Raspberry Pi models 3B, 3B+ and 4B\u003c\/li\u003e \u003cli\u003eResolution of 5280*3480 pixels, frame rate of up to 30 fps at full resolution\u003c\/li\u003e \u003cli\u003eRolling-shutter sensor with global exposure control\u003c\/li\u003e \u003cli\u003eCSI connection via ribbon cable directly to the camera interface\u003c\/li\u003e \u003cli\u003eFixed-focal-length lens with mechanical focusing\u003c\/li\u003e \u003cli\u003eRequires the camera support package and the Picamera2 library on the Raspberry Pi\u003c\/li\u003e \u003c\/ul\u003e \u003ch3\u003eProduct Description\u003c\/h3\u003e \u003cp\u003eThe 18-megapixel camera uses a 1\/2-inch CMOS sensor and captures images in Full HD and 4K for projects involving image processing, surveillance or environmental monitoring. It connects directly to the Raspberry Pi camera port via the CSI ribbon cable, without additional USB controllers or an external power supply.\u003c\/p\u003e \u003cp\u003eThe sensor uses a rolling-shutter process with global exposure control. The maximum resolution of 5280*3480 pixels is available at up to 30 fps; at higher frame rates, the resolution is reduced. The fixed lens enables focusing at close range, but requires manual adjustment instead of motorized autofocus.\u003c\/p\u003e \u003cp\u003eTypical applications include image-capture projects such as real-time object detection using machine-learning models, time-lapse recordings of construction work or environmental documentation. The direct CSI connection avoids USB bandwidth limitations and significantly reduces latency compared with USB cameras.\u003c\/p\u003e \u003cp\u003eUse requires a Raspberry Pi model 3B, 3B+ or 4B with an updated operating system. Support must be enabled via the official camera support package and the Picamera2 library. An external power supply for the camera is not required, as the CSI port supplies power.\u003c\/p\u003e \u003ch3\u003eSafety Information\u003c\/h3\u003e \u003cp\u003eThe sensor is sensitive to static electricity; take appropriate grounding measures when handling it. The ribbon cable may only be connected or disconnected when the Raspberry Pi is switched off to prevent damage. This module is intended exclusively for building prototypes and for testing and development purposes, and is not intended for installation in the household electrical circuit.\u003c\/p\u003e \u003ch4\u003eScope of Delivery\u003c\/h4\u003e \u003cul\u003e \u003cli\u003e1 x Arducam 18MP AR1820HS ISP camera module\u003c\/li\u003e \u003cli\u003e1 x 150 mm 15-pin 1.0 mm to 22-pin FPC cable with 0.5 mm pitch\u003c\/li\u003e \u003c\/ul\u003e","brand":"Funduino","offers":[{"title":"Default Title","offer_id":66045672948061,"sku":"F23110184","price":149.8,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1074\/5649\/5965\/files\/kamera-18mp-ar1820hs-arducam-pivariety-rpi-4b-3b-etc-cm3cm4-funduino-5296704.png?v=1791492789"},{"product_id":"esp32-entwicklerboard-mit-2-0mp-kamera-und-ch340-adpaterboard","title":"ESP32 development board - 2 MP camera, CH340 adapter, Wi-Fi","description":"\u003ch3\u003eProduct overview\u003c\/h3\u003e \u003cul\u003e \u003cli\u003eSingle-board computer with integrated 2 MP camera and CH340 USB-to-UART converter\u003c\/li\u003e \u003cli\u003eDual-core processor with a clock speed of 240 MHz\u003c\/li\u003e \u003cli\u003e4 MB flash memory and 520 KB RAM\u003c\/li\u003e \u003cli\u003eWiFi and Bluetooth Low Energy for wireless communication\u003c\/li\u003e \u003cli\u003e36 digital inputs\/outputs, I2C, SPI, and UART interfaces\u003c\/li\u003e \u003cli\u003eOperating voltage of 3.3 V, USB power supply possible\u003c\/li\u003e \u003cli\u003eAntenna and camera connector already integrated on the board\u003c\/li\u003e \u003c\/ul\u003e \u003ch3\u003eProduct description\u003c\/h3\u003e \u003cp\u003eThe development computer based on a 32-bit processor combines sensor, communication, and image-processing capabilities in a compact unit. With an integrated camera and wireless interfaces, the board is suitable for quickly building prototypes that need to capture and process camera images. The USB-to-UART converter enables programming and communication via a standard USB interface on the computer.\u003c\/p\u003e \u003cp\u003eFour megabytes of flash memory and approximately 500 kilobytes of RAM are available for processing camera images and storing data. The dual-core architecture, with a clock speed of 240 MHz per core, enables true parallel processing, which is particularly advantageous when capturing sensor data and processing images simultaneously. WiFi and Bluetooth Low Energy enable wireless data transmission without additional modules.\u003c\/p\u003e \u003cp\u003eTypical applications include video doorbells, indoor motion detection with camera verification, wireless environmental monitoring with snapshots, and visual robot navigation over short distances. The board can also be used as an IoT sensor with image telemetry, for example to document machines or inventory levels remotely.\u003c\/p\u003e \u003cp\u003eThe operating voltage of 3.3 volts is supplied via USB or from an external power source. Sensors and modules with 5 V logic require a level shifter for safe connection. Standard development software and a USB cable are required for programming. The 2-megapixel camera resolution is suitable for image analysis and motion detection, but not for high-resolution photography.\u003c\/p\u003e \u003ch3\u003eSafety information\u003c\/h3\u003e \u003cp\u003eThe board is intended exclusively for building prototypes and for testing and development purposes, not for operation in a household electrical circuit. The USB port and power supply must be protected against short circuits. 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