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OpenNCC Camera Developer Kit
swift changeable "brain", endless possibilities of the AI camera

This OpenNCC camera developer kit is a simple and easy-to-learn AI camera, which adopts standard industrial camera design. It is small and elegant, easy to use and integrate. Rich camera development pack and technical documents are provided for secondary development. It supports various deep learning frameworks, supports C / C++ / Python, as well as OpenNCC View open source. Put on this "ballet pump" for your algorithm, make it to be shining on the stage!
AI | |
---|---|
Performance | 4TFlops (Max) |
Model support | all of the OpenVINO models |
Framework support | ONNX, TensorFlow, Caffe, MXNet, Kaldi |
software | |
Image signal process | supported |
Open source resources | camera development pack OpenNCC CDK, technical documents, configuration tool OpenNCC View |
Language support | C / C++ / Python |
SDK functions | 1. retrieving video stream 2. AI models download and change 3. obtain model operation result 4. camera take photos, reset, etc. |
OpenView functions | configure camera setting, configure camera local AI model |
OpenNCC CDK OS support | Linux and windows |
OpenNCC View OS support | Linux |
hardware | |
Dimensions | 50 × 50 × 55mm |
Weight | camera net weight 140g |
VPU | Intel Movidius Myriad X MV2085 |
Operating temperature | 0-50℃ |
RAM | 4GB |
Data port | USB Type-C 2.0/3.0 |
Power supply | 5V / 2A |
Camera module | 8MP visible light module |
Resolution | 3872 × 2180 |
Frame rate | 30Hz |
Horizontal FOV | 58° |
3872 × 2180 HD resolution, with image pre-processing function
video output formats including YUV, H.264, H.265, MJPEG

OpenNCC allows the camera to freely change local OpenVINO IR models
make it easy to enable functions like face detection, object detection, skeleton detection


Integrates Intel AI chip which is compatible with all of the OpenVINO IR models
via the OpenNCC View tool

allows height adjustment and 360° rotation


Make your own changeable AI camera quickly and easily
just plug it onto the computer through a USB-C cable to start development

Aluminum alloy material with modern space grey finish
robust, nice looking, wear-proof, corrosion-proof

Ubuntu16.04, Ubuntu18.04, Raspberry Pi, Arm Linux (tool chain required for cross compiling)


Weight: 0.188 kg