Industrial Control
Smart city
Camera capture module
Core Features
● Powerful AI visual computing power
Equipped with a high-performance 2.0 TOPS NPU, it supports deep learning frameworks (Caffe/TensorFlow) and can locally run complex AI algorithms in real time, such as face recognition, behavior analysis, and vehicle detection.
● Outstanding image processing capabilities
Supports 14-megapixel sensor input and is equipped with professional-grade 3-frame HDR, full-color low-light imaging, and 3D noise reduction (3DNR) technology, enabling it to deliver clear, vivid, high-quality images both day and night.
● High-Efficiency Video Coding
Supports 4K@30fps H.264/H.265 efficient encoding, offering lower bitrates at the same image quality, thereby significantly saving storage space and network bandwidth.
● High-integration design
The single-board integrates the main controller, memory, storage, and power management. It offers two board types—stamp-hole and connector—and features a compact design that significantly shortens customers’ product development cycles.
● Rich interfaces and extensibility
It provides multi-channel camera access, audio interfaces, and a variety of communication interfaces to meet the scalability requirements of various intelligent vision application scenarios.
Email: sales@sengkeda.com
Core specification parameters
| Parameter Category | Detailed indicators |
| Main processor | Rockchip RV1126 |
| CPU architecture | Quad-core ARM Cortex-A7 @ up to 1.5GHz |
| AI computing power | Integrated 2.0 TOPS NPU (Neural Network Processing Unit) |
| Video Processing | Supports 4K@30fps H.264/H.265 encoding and multi-streaming. |
| Image processing | Supports 14M Pixel ISP, 3-frame HDR, 3D noise reduction, full-color in low light, and lens distortion correction. |
| System memory | Onboard 1GB/2GB LPDDR4 |
| Storage | Onboard 8GB eMMC (optional upgrade to 128GB), supports SPI Flash boot. |
| Operating system | Supports Buildroot, Debian (provides a full SDK) |
| Power supply | DC 5V ±5% (typical power supply) |
| Operating temperature | -20°C ~ +85°C (industrial-grade standard optional) |
| Size | 40mm x 40mm (customizable, in stamp-hole or connector format) |
Interface Information
| Interface Type | Quantity/Specification | Function Description and Applications |
| Camera input | 2x MIPI-CSI (4-lane + 2-lane) or 1x DVP | Can simultaneously connect the main camera + auxiliary cameras (such as wide-angle, infrared, and starlight-grade sensors). |
| Video output | 1x MIPI-DSI (4-lane) | Supports up to 1920x1080@60fps output for local real-time preview. |
| Audio interface | 1x I2S, 1x PDM (supports an 8-microphone array) | Supports audio capture and playback, enabling audio-video synchronization and voice intercom. |
| Network interface | Built-in 10/100M Ethernet MAC (requires external PHY) | Provide a stable wired network connection. |
| Storage expansion | 1x SDIO 3.0 | Supports TF card storage expansion |
| General communication | 3x UART, 4x I2C, 4x SPI, multi-channel PWM | For connecting sensors, gimbal control, and peripheral device communication. |
| USB port | 1x USB 2.0 OTG | Supports device debugging, data export, or operation as a USB peripheral. |
| Debugging interface | UART debug serial port | For system debugging and log output |
| LED control | GPIO Control | Control status indicator or infrared fill light |
Software and Features
- System Support: Provides a complete Linux SDK, including the kernel, drivers, and ISP tuning tools.
- AI Framework: Supports the RKNN Toolkit, enabling easy conversion and deployment of AI models to run on NPUs.
- Reference Algorithms: Provides reference implementations for basic algorithms such as face detection, face recognition, vehicle detection, and human body skeleton keypoint detection.
- Cloud Platform Integration: Supports integration with mainstream cloud service platforms (such as AWS IoT, Azure IoT, and Alibaba Cloud Link Visual).
Typical application scenarios
- AI-powered network camera: security surveillance, facial recognition access control, smart doorbell.
- Industrial visual inspection: PCB defect detection, parts sorting, and dimension measurement.
- Smart in-vehicle DVR: Driving recording, Driver Status Monitoring (DSM), and Advanced Driver Assistance Systems (ADAS).
- AIoT edge devices: smart retail, robotic vision, and drone image transmission.
Keywords:Camera capture module
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