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Advanced camera module for IoT systems that combines stereoscopic depth vision with a high-resolution RGB camera. With built-in neural network processing and computer vision capabilities, the camera enables real-time image analysis, and connectivity and power are provided by a USB Type-C port with fast data transfer (USB 3.2 Gen1). The module is equipped with additional technologies such as ESP32 for wireless communication (WiFi, BLE) and a 9-axis IMU BNO086, making it an ideal solution for robotics and motion analysis applications. Luxonis OAK-D-IoT-75
OAK-D IoT is an advanced camera module for vision systems in IoT (Internet of Things), combining stereoscopic depth vision with a high-resolution RGB camera, offering human-like perception. With built-in neural network processing and computer vision capabilities, the camera enables advanced real-time image analysis. It uses a USB Type-C port for power and connectivity, ensuring fast data transfer via USB 3.2 Gen1 (5 Gbps). The OAK-D is based on the RVC2 architecture, providing 4 TOPS of computing power (including 1.4 TOPS dedicated to AI tasks). The OAK-D supports any AI models, including custom ones, after conversion. The device allows for encoding in H.264, H.265, MJPEG formats at resolutions of 4K/30FPS and 1080P/60FPS. In the field of computer vision, it offers distortion correction, resizing, image cropping, edge detection, and feature tracking. Additionally, the camera offers 2D and 3D object tracking via the ObjectTracker module.
The module is equipped with a color camera featuring a 12MP IMX378 sensor (4056x3040 resolution) and two stereo cameras with a 1MP OV9282 sensor (1280x800 resolution). It also includes an ESP32 module, allowing wireless connectivity via WiFi and Bluetooth Low Energy (BLE). Additionally, it features 128 MB of NOR Flash memory, providing sufficient space for data and software. The kit also integrates a 9-axis IMU BNO086, ensuring precise motion and orientation measurements, making it ideal for robotics and drone applications.
Power consumption in the OAK-D depends on the load of the modules, including the vision processing unit (VPU). Basic power consumption during video streaming is 2.5W - 3W, with additional power requirements of up to 1W for the AI system, up to 0.5W for the stereoscopic system, and up to 0.5W for the video encoder. The total power consumption can reach up to 5W when all functions are used simultaneously. This makes it an ideal solution for projects requiring precise robotic vision, AI, depth analysis, and real-time motion tracking.
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Advanced camera module for IoT systems that combines stereoscopic depth vision with a high-resolution RGB camera. With built-in neural network processing and computer vision capabilities, the camera enables real-time image analysis, and connectivity and power are provided by a USB Type-C port with fast data transfer (USB 3.2 Gen1). The module is equipped with additional technologies such as ESP32 for wireless communication (WiFi, BLE) and a 9-axis IMU BNO086, making it an ideal solution for robotics and motion analysis applications. Luxonis OAK-D-IoT-75