Raspberry Pi based IP Camera supporting AI/PoE/2MP AR0234CS global shutter/8MP
This OpenNCC IP Camera series is a combination of features coming from Raspberry Pi 4B, Intel Movidius VPU board, and Onsemi AR0234CS global shutter sensor.
Customers can deploy their own AI models to the camera; it has world-class global shutter performance.
Product Features:
- Raspberry Pi OS and Applications supported
- PoE supported
- Onsemi AR0234CS based 1080P Global Shutter Camera with replaceable lens for different scene adoption
- Advanced Deep Learning MyriadX Platform for Edge-AI referencing
- Replacing on-device AI models supported
- Open-source ML Video SDK
- Ethernet Connected Camera System for IoT cloud management
- Support RJ45
- Support DCHP/UDP/TPC/IP/IPV4/RTP/RTCP/RTSP/ONVIF
- Support connection with Mouse & Keyboard through USB port
- Support connection with display/monitor through HDMI
- Power: DC 12V
- Embedded with double CNN accelerator
- Compatible with pre-trained OpenVINO models
- Support changing customized AI models
Camera Sensors
The default camera sensor is the Onsemi AR0234CS global shutter RGB sensor, which has a world-class global shutter performance for accurate and fast capture of moving scenes at up to 120 fps. Watch comparison video
We also offer an 8MP camera module option for customers who require high resolution in their application scenarios.
Camera Lens
The default camera lens is an adjustable C-mount lens. For customers who have specific lens requirements, we also offer an extra lens for them to test and evaluate. Select and purchase a separate lens here.
Main SDK Functions:
- Gets SDK version information.
- Auto-scan IPC RTSP URL in the same LAN with the client.
- Connect to our device.
- Close the connected session with the device
- Get the device firmware version.
- Get the current AI mode used in the device.
- Delete AI mode in the device.
- Changed the AI mode in the device.
- Read AI metadata from the device.
- Get video encoded param.
Suitable Applications:
- Defect detection in production lines
- Car plate recognition on Highway
- Gesture recognition
- Position tracking
- Machine vision
- Barcode Scanning
- Autonomous Mobility
- Commercial Surveillance
Key Specs
| Specifications | OpenNCC IP Camera |
| Supported AI Models | Most models in Intel OpenVINO™ model zoo |
| Supported Frameworks | ONNX, TensorFlow, Caffee, MXNet, Kaldi, PaddlePaddle |
| CNN Accelerator(s) | Two |
| ISP | Included in Intel Myriad X |
| VPU | Intel Myriad X |
| SoC | Raspberry Pi 4B |
| Developing Port | Ethernet RJ45, GPIO x 6, USB x 2 (Mouse and Keyboard), and support Video output |
| Display Port | HDMI x 1 |
| Power over Ethernet (PoE) | Enabled (requires separate PoE HAT) |
| Power Supply | 12V DC |
| Operation System | Raspberry Pi OS |
| Supported SW Applications | Raspberry Pi Applications |
| Supported Protocols | IPV4, TCP/IP, HTTP, UDP, RTP, RTCP, RTSP, DHCP, FTP, ONVIF |
| Camera Sensor | 2MP Onsemi AR0234CS global shutter sensor 8MP SmartSens SC8238H Rolling Shutter sensor |
| Resolution | 1920 × 1080 (2K), 3872 × 2180 (4K) |
| Video Format | H.264 |
| Frame Rate | 30fps, 60 fps, Up to 120 fps |
| Lens | Replaceable C-Mount lens |
| Field of View(FOV) | Diagonal: 50 - 120° |
| Size | 5.5" x 3.0" x 2.2" ( 140 mm x 75 mm x 55 mm ) |
| Weight | 1.5 lbs ( 670g ) |
Specification Sheet
Open-Source
- If you want to develop this camera as an integrated Edge-AI IP Camera through Ethernet, please refer to the OpenNCC IPC GitHub Repo;
- If you want to develop this camera as an integrated Edge-AI camera based on Raspberry Pi through Raspberry Pi OS, please refer to the OpenNCC Frame GitHub Repo.
We accept payment via:
PayPal | MasterCard | Visa | American Express | Credit and Debit Cards
Return and Repair
Please note and understand that we don't support return and repair for developing products/samples. It is suggested to contact us if you have any questions about the products before placing the order.