BeiQi RK1808 AIoT 96Boards Compute SoM

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/HIGH@LEVEL4.2 Up to 1920×1080@60fp Video encoder Support H.264 video encoder BP/MP/HP@4.2 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 Cortex-A35@1.6GHz 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