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Seeed Studio reCamera 2002 64GB is a compact, modular AI camera with built-in YOLOv11 models and Node-RED support. With easy integration, low hardware requirements, and extensive expansion options, it is an ideal solution for AI developers, IoT projects, robotics, and real-time vision applications.
reCamera is a pocket-sized, modular AI camera based on a RISC-V SoC running Linux. It offers 1 TOPS @INT8, a 5 MP camera, built-in YOLOv11, and support for custom AI models and Node-RED, making it the fastest way to deploy computer vision in any system. Thanks to its modular design, full open-source nature, and Seeed’s rich Vision AI ecosystem, the camera is an excellent fit for industrial, educational, and prototyping applications.

Manufacturer BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
Responsible person BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
Luxonis OAK-D-Pro W is an advanced robotic vision system with a wide-angle 3D camera, AI, and night vision mode, ideal for autonomy and object tracking. Luxonis A00573
Advanced robotic vision camera that combines an active stereo camera with a high-resolution color camera to effectively perceive the surroundings in difficult lighting conditions. Featuring 4 TOPS computing power and IR dot projector technology, the camera is perfect for night vision, enabling AI and CV algorithms to be run. PoE connection allows the cameras to communicate with other devices via network protocols. Luxonis OAK-D Pro PoE OV9782
SenseCAP Watcher is a device based on ESP32S3 and AI chip Himax WiseEye2 HX6538, which combines advanced image processing with voice command recognition. With a camera, microphone, speaker and support for LLM technology in SenseCraft, it is ideal for monitoring spaces, interacting with users and integrating with IoT systems. Seeed Studio 113991315
Advanced robotic vision camera that combines an active stereo camera with a high-resolution color camera to effectively perceive the surroundings in difficult lighting conditions. Featuring 4 TOPS computing power and IR dot projector technology, the camera is perfect for night vision, enabling AI and CV algorithms to be run. PoE connection allows the cameras to communicate with other devices via network protocols. Luxonis OAK-D Pro W PoE OV9782
Camera module with OV9782 sensor and global shutter, offering 1 MP (1280x800) resolution and high image recording speed (up to 255 FPS), making it ideal for applications requiring minimal latency, such as video analysis or monitoring, while maintaining the full color palette. Thanks to the built-in ISP processor and advanced 3A algorithms, the camera provides optimal image quality, and the possibility of manual exposure and white balance adjustment allows for adaptation to different lighting conditions. Model with a wide-angle lens with a viewing angle of 150 °. Luxonis OAK-FFC OV9782 W
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Robotic vision camera that combines the functions of a stereo depth camera with a high-resolution color camera to deliver exceptional image quality. Using Power over Ethernet (PoE), the camera offers both power and a fast GigE connection, and its rugged IP65 housing makes it ideal for use in harsh industrial environments. The OAK-D S2 PoE boasts an impressive 4 TOPS of processing power and advanced computer vision features, making it an excellent solution for professional applications in the field of robotics and industrial automation. Luxonis OAK-D S2 PoE Fixed-Focus
Industrial depth camera with ToF sensor, designed for precise detection up to 3 meters, ideal for applications such as pick-and-place, quality control or industrial automation. With IP65/IP67 sealing, active IR, PoE connectivity and 4 TOPS computing power (including 1.4 TOPS on AI), it offers reliable operation even in harsh environments. It supports CV and AI algorithms, remote control, standalone operation and multiple network protocols, making it a versatile tool for industry and robotics. Luxonis OAK-D SR PoE
Robotic vision camera that combines stereoscopic depth vision with a high-resolution RGB camera to provide real-time image analysis. With built-in AI processing capabilities and 4 TOPS of processing power, the camera supports custom AI models as well as 2D and 3D object tracking. The rugged aluminum housing, USB-C port, and integrated 6-axis inertial module make it ideal for projects requiring precise vision, motion tracking, and depth analysis in robotic applications. Ethernet connectivity allows the cameras to communicate with other computers using network protocols, and PoE provides single-cable power. Luxonis OAK-D Wide PoE Global Shutter
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12MP AI camera that enables on-device neural network inference and image analysis, supporting AI models after conversion. Equipped with 4 TOPS RVC2 architecture, with features such as distortion correction, 2D object tracking, and dynamic autofocus, it is ideal for complex computer vision tasks with fast data transfer via USB-C. Luxonis OAK-1 Auto-focus
A compact AI camera with 48 TOPS of processing power, powered by an 8-core ARM processor running Luxonis OS. Equipped with a 48MP sensor with an 82.4° angle lens and autofocus, it enables detailed image processing and supports features like object tracking and distortion correction. Its robust aluminum and Gorilla Glass housing meets the IP67 standard, ensuring resistance to harsh conditions. With PoE and USB-C ports, a built-in IMU, and a microphone, the camera is ideal for robotics, surveillance, and edge computing. Luxonis OAK-4-S-AF
13MP AI camera that enables neural network processing and image analysis directly on the device, supporting AI models after conversion. Equipped with the 4 TOPS RVC2 architecture, with features such as distortion correction, 2D object tracking, and dynamic autofocus, it is ideal for complex computer vision tasks with fast data transfer via USB-C. Luxonis OAK-1 Lite Auto-focus
1MP AI camera that supports AI models and offers computer vision functions, operating autonomously thanks to the built-in eMMC memory. Equipped with an industrial IP67 housing, PoE power supply and 4 TOPS computing power, it enables image capture, object tracking and real-time analysis. With support for AI models, easy integration with Ethernet networks and a durable design, it is ideal for outdoor and industrial applications. Luxonis OAK-1 Wide PoE Global Shutter
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OAK-D robotic vision camera that combines stereoscopic depth vision with a high-resolution RGB camera to provide real-time image analysis. With built-in AI processing capabilities and 4 TOPS of processing power, the camera supports custom AI models as well as 2D and 3D object tracking. The rugged aluminum housing, USB-C port, and integrated 9-axis inertial module make it an ideal solution for projects requiring precise vision, motion tracking, and depth analysis in robotic applications. Luxonis OAK-D
Seeed Studio reCamera 2002 8GB is a compact, modular AI camera with built-in YOLOv11 models and Node-RED support. With easy integration, low hardware requirements, and extensive expansion options, it is an ideal solution for AI developers, IoT projects, robotics, and real-time vision applications.
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The board is designed to work with the Sunny MTP006 pTOF camera module, compatible with the OAK-FFC-3P, OAK-FFC-4P and DepthAI RPi HAT boards. Equipped with a 224x172 sensor, it provides precise depth measurements in the range of 20 cm to 4 m with an accuracy of less than 2% and a viewing angle of 70.7° DFOV, and communication is via a MIPI 2-lane interface with a supplied 3.3V power supply. Luxonis OAK-FFC-pToF
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Time-of-Flight (ToF) camera module with 33D ToF sensor offering precise depth measurements in the range of 20 cm to 6 m at VGA resolution (640x480) and up to 45 FPS. It provides 82.3° DFOV, making it ideal for a wide range of applications. The built-in ToF sensor features precise measurements, and thanks to the MIPI interface and 26-pin FFC connector, the module guarantees reliable communication and easy integration with systems. Luxonis OAK-FFC ToF 33D
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Seeed Studio reCamera 2002 64GB is a compact, modular AI camera with built-in YOLOv11 models and Node-RED support. With easy integration, low hardware requirements, and extensive expansion options, it is an ideal solution for AI developers, IoT projects, robotics, and real-time vision applications.