Luxonis - OAK-D CM4 PoE Camera

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Product Documentation OAK-D CM4 PoE is the ultimate camera for robotic vision that perceives the world like a human by combining stereo depth camera and high-resolution color camera with an on-device Neural Network inferencing and Computer Vision capabilities.This product has an integrated Raspberry Pi CM4, which acts as a host computer. PoE connection allows cameras to communicate to other computers via networking protocols (TCP, UDP, HTTP, MQTT, etc.). As our PoE models feature device flash memory, you can also run your programs in standalone mode. OAK PoE cameras are housed in an rugged, IP-rated enclosure, which is required for industrial and outdoor use. Main Features: 4 TOPS of processing power (1.4 TOPS for AI - RVC2 NN Performance) CM4: Raspberry Pi acts as a host computer, which you can access via SSH/VNC. CM4 connects to the OAK-SOM, see OAK & RPi documentation for additional information. Run any AI model, even custom architectured/built ones (models need to be converted) Encoding: H.264, H.265, MJPEG - 4K/30FPS, 1080P/60FPS Computer vision: warp (undistortion), resize, crop via ImageManip node, edge detection, feature tracking. You can also run custom CV functions Stereo depth perception with filtering, post-processing, RGB-depth alignment, and high configurability Object tracking: 2D and 3D tracking with ObjectTracker node Dimensions: 130x64x30mm Weight: 318g Color camera Stereo pair Sensor IMX378 OV9282 DFOV / HFOV / VFOV 81° / 69° / 55° 82° / 72° / 50° Resolution 12MP (4056x3040) 1MP (1280x800) Focus AF: 8cm - ∞ FF: 19.6cm - ∞ Max Framerate 60 FPS 120 FPS IR Sensitive With IR filter Package includes: OAK-D-CM4-PoE camera Ethernet cable, 2m Cable gland Cleaning cloth PoE injectors are not included in the package. The OAK-D CM4 PoE combines OAK-D with Raspberry Pi CM4 module acting as host computer. It's designed to provide developers with a platform for creating advanced computer vision applications. 4 TOPS of processing power (1.4 TOPS for AI - RVC2 NN Performance) CM4004032: 4GB RAM, 32GB eMMC, no wifi Pre-flashed with Raspberry Pi OS and DepthAI Python interface RJ45 connector for both power and communication IP67 rated enclosure