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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 the connection and power supply 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), 6 microphones, a speaker and a 9-axis IMU BNO085, making it an ideal solution for applications in IoT systems. Luxonis OAK-D-IoT-40 S2
OAK-D IoT S2 is an advanced camera module designed for vision systems in IoT (Internet of Things) applications, combining stereoscopic depth vision with a high-resolution RGB camera, offering perception similar to that of humans. With built-in neural network processing and computer vision capabilities, the camera allows for advanced real-time image analysis. It uses a USB Type-C port for power and connectivity, providing fast data transfer via USB 3.2 Gen1 (5 Gbps). The OAK-D IoT is based on the RVC2 architecture, offering 4 TOPS of computing power (including 1.4 TOPS dedicated to AI tasks). The OAK-D supports any AI models, including custom ones, after prior conversion. The device supports encoding in H.264, H.265, MJPEG formats at 4K/30FPS and 1080P/60FPS. In terms of computer vision, it offers distortion correction, resizing, image cropping, edge detection, and feature tracking. Additionally, the camera supports both 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 16 MB of eMMC memory, providing sufficient space for data and software. The kit also includes an integrated speaker and 6 MEMS microphones.
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.
Data sheet
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
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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 the connection and power supply 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), 6 microphones, a speaker and a 9-axis IMU BNO085, making it an ideal solution for applications in IoT systems. Luxonis OAK-D-IoT-40 S2