BeiQi RK1808 AIoT 96Boards Compute SoM
SKU
102110278
PRODUCT DETAILS
The TB-96AIoT is a low-power, high-powered core board for the AIoT field. It is equipped with a powerful neural network processing unit (NPU) and is compatible with a variety of mainstream inference models such as caffe and tensor flow. Together with the bottom board CarrierBoard developed, it can form a complete development board or evaluation board; the base board that can be customized according to the actual needs of the customer can directly from the industrial application board, which can meet the sweeping robot, drone, smart speaker. , automotive products, smart wear, security monitoring, AI computing modules and other areas of demand.
TB-96AI uses RK3399Pro as the main control chip, TB-96AIoT uses RK1808 as the main control chip.
Features
- Dual-core ARM Cortex-A35 CPU for ultra-low power consumption
- Includes vfp v4 hardware that supports single and double precision operations.
- ARM Neon Advanced SIMD (Single Instruction, Multiple Data) supports accelerated media and signal processing calculations.
- Built-in neural network processor NPU, super high AI computing power
- Compatible with Caffe/Mxnet/TensorFlow model, support multi-class framework, support mainstream layer type, easy to add custom layer
- Provide easy-to-use development tools, PC-side model conversion, performance estimation, and accuracy verification
- AI APPlication Develop Flow
- Video decoder
- Support H.264/AVC BASE/MAIN/[email protected]
- Up to 1920×1080@60fp
- Video encoder
- Support H.264 video encoder BP/MP/[email protected] level
- Up to 1920×1080@60fps
- Camera interface
- MIPI-CSI×1, Built-in ISP image processor
- Maximum support input resolution 1920×1080
- Display output interface
- MIPI-DSI×1
- Supports up to 1920×1080@60fps display output
- Audio port
- Sperker×1
- Headphone×1
- Mic×1
- I2S×1
- PCIE×1
- USB2.0 HOST×1；
- Type-C DRM×1；
- I2C×3
- LAN×1，1000M ETH
- UART Debug×1
- SPI×1
- SD Card ×1
- PWM×1
- ADC×1, One for key input and the other for headphone insertion detection
Specifications
| Basic Parameters | |
| SoC | Rockchip RK1808(22nm FD-SOI) |
| CPU | Dual [email protected] |
| NPU |
Support 8bit/16bit operation, computing power up to 3.0TOPS Support TensorFlow, Caffe model |
| VPU |
1080p@60P H.264 Decoder 1080p@30P H.264 Encoder |
| RAM |
1GB LPDDR3 |
| Flash |
16GB eMMC |
| Hardware Characteristics | |
| Ethernet | Built-in Gigabit Ethernet PHY chip, 10/100/1000Mbps adaptive |
| WiFi/BT | Built-in WiFi/BT module, reserved antenna holder, can be directly inserted into the antenna |
| SoC | Rockchip RK1808(22nm FD-SOI) |
| Camera Interface |
MIPI-CSI，Maximum support 1920 × 1080 resolution USB camera |
| Display Interface | One MIPI-DSI interface, up to 1920×1080@60fps display output |
| Audio Port |
Sperker×1 Headphone×1 Mic×1 I2S×1 |
| Type-C | USB3.0 DRM ×1 |
| USB | USB2.0 HOST ×1 |
| Extension Port |
PCIE×1 I2C×3 SPI×2 SD Card ×1 PWM×1 ADC×2 |
| Power input | DC 5V |
ECCN/HTS
| HSCODE | 8517180050 |
| USHSCODE | 8543708800 |
| UPC | |
| EUHSCODE | 8543709099 |
| COO | CHINA |
| RoHS | 1 |
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