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5d480881d0864f0d80e72ec6 BeiQi RK3399Pro AIoT 96Boards Compute SoM https://www.tenettech.com/s/59c9e4669bd3e7c70c5f5e6c/ms.products/5d480881d0864f0d80e72ec6/images/5d480881d0864f0d80e72ec8/5d480734b41a0e0d76eaeebb/5d480734b41a0e0d76eaeebb.jpg

Description

TB-96AI is a powerful core board for artificial intelligence. Carrier Board developed can form a complete development board or evaluation board; and the board customized by customers according to actual needs can directly form the industry application motherboard, which can meet industrial automation, UAV, image detection, face recognition, edge computing gateway, cluster server, Intelligent Quotient display, automatic driving, medicine. Application needs of market segments such as health care equipment, robots and intelligent retail.

TB-96AI uses RK3399Pro as the main control chip and TB-96AIoT uses RK1808 as the main control chip.

Features

  • Six-core 64-bit processor, superior general-purpose computing power
  • Dual-core ARM Cortex-A72 MPcore processor and quad-core ARM Cortex-A53 MPcore processor are high-performance, low-power and cache application processors.
  • Two CPU clusters. Big cluster with dual-coreCortex-A72 is optimized for high-performance and little cluster with quad-core Cortex-A53 is optimized for low power
  • Full implementation of the ARM architecture v8-A instruction set, ARM Neon Advanced SIMD (single instruction, multiple data) support for accelerating media and signal processing
  • Supporting 8 bit/16 bit operation, AI computing power up to 3.0 TOPs (INT8 Inference)
  • Full load calculation is strong and light load operation power consumption is low.
  • Compatible with Caffe/Mxnet/TensorFlow model, it can support multiple frameworks, support mainstream layer types, and add custom layer easily
  • Provide easy-to-use development tools, PC can complete model conversion, performance prediction, accuracy verification.
  • Provide AI application development interface: support Android NN API, RKNN cross-platform API, Linux support TensorFlow development;
  • Powerful Multimedia Processing Performance
  • Integrated quad-core ARM Mali-T860MP4 GPU, support OpenGL ES1.1/2.0/3.0, OpenCL1.2, Directx11.1, etc., with more bandwidth compression technology
  • Strong hardware codec capability
    • Support 4K VP9 and 4K 10bits H265/H264 video decoding up to 60fps
    • Support 1080P multi-format video decoding (VC-1, MPEG-1/2/4, VP8)
    • Support 1080P video encoding, support H.264, VP8 format
  • Multiple video input and output interfaces
    • Dual camera interface: two MIPI-CSI input interfaces with two ISP image processors
    • Display output interface: Embed two VOPs, support dual-screen simultaneous/dual-screen display, and can choose to output from the following display interface.
  • Rich expansion interface
    • Type-C/DP×1,OTG
    • USB2.0×2,HOST
    • USB3.0×1,According to the RK3399Pro design, the NPU needs to be mounted on the USB3.0, so the USB3.0 needs to be connected back to the NPU. If you need to extend the USB3.0 interface, you need to plug in the HUB.
    • SDMMC×1
    • SPI×1
    • CPU Debug UART×1,NPU Debug UART×1
    • UART×1
    • I2S×1
    • SDIO×1
    • I2C×1
    • PCIe×1
    • PWM×2
    • GPIO,For detailed GPIO definition, please refer to interface definition.
    • ADC×3,One for buttons, one for headset microphone detection, and one for user-definable use
  • High-speed on-board connector for more stability and reliability
    • 4 Panasonic high-speed onboard connectors for higher speed signal stability
    • The core board can be fixed by 4 screw posts for various working environments.
  • Support for multiple operating systems
    • Support Android, Linux, Ubuntu
    • Support U disk upgrade through USB interface
  • Hardware related information
    • Circuit schematic reference design
    • Connector PCB package
    • Core board size
    • Pin definition, interface package
    • Software development guide.pdf
    • Tools. RK driver assistant, firmware upgrade tool, etc
    • Firmware. Android firmware, Linux firmware
    • Source code. Android SDK source codeSoftware related information
TT-SDK-102110279
in stock INR 15796.66
SEEEDSTUDIO
1 1

BeiQi RK3399Pro AIoT 96Boards Compute SoM

Sku: TT-SDK-102110279
₹15,796.66


Sold By: tenettech
Features
  • Shipping in 10-12 Working days
  • http://cdn.storehippo.com/s/59c9e4669bd3e7c70c5f5e6c/ms.products/5d480881d0864f0d80e72ec6/images/5d480881d0864f0d80e72ec7/5d480725db7d103154294472/5d480725db7d103154294472.png

Description of product

Description

TB-96AI is a powerful core board for artificial intelligence. Carrier Board developed can form a complete development board or evaluation board; and the board customized by customers according to actual needs can directly form the industry application motherboard, which can meet industrial automation, UAV, image detection, face recognition, edge computing gateway, cluster server, Intelligent Quotient display, automatic driving, medicine. Application needs of market segments such as health care equipment, robots and intelligent retail.

TB-96AI uses RK3399Pro as the main control chip and TB-96AIoT uses RK1808 as the main control chip.

Features

  • Six-core 64-bit processor, superior general-purpose computing power
  • Dual-core ARM Cortex-A72 MPcore processor and quad-core ARM Cortex-A53 MPcore processor are high-performance, low-power and cache application processors.
  • Two CPU clusters. Big cluster with dual-coreCortex-A72 is optimized for high-performance and little cluster with quad-core Cortex-A53 is optimized for low power
  • Full implementation of the ARM architecture v8-A instruction set, ARM Neon Advanced SIMD (single instruction, multiple data) support for accelerating media and signal processing
  • Supporting 8 bit/16 bit operation, AI computing power up to 3.0 TOPs (INT8 Inference)
  • Full load calculation is strong and light load operation power consumption is low.
  • Compatible with Caffe/Mxnet/TensorFlow model, it can support multiple frameworks, support mainstream layer types, and add custom layer easily
  • Provide easy-to-use development tools, PC can complete model conversion, performance prediction, accuracy verification.
  • Provide AI application development interface: support Android NN API, RKNN cross-platform API, Linux support TensorFlow development;
  • Powerful Multimedia Processing Performance
  • Integrated quad-core ARM Mali-T860MP4 GPU, support OpenGL ES1.1/2.0/3.0, OpenCL1.2, Directx11.1, etc., with more bandwidth compression technology
  • Strong hardware codec capability
    • Support 4K VP9 and 4K 10bits H265/H264 video decoding up to 60fps
    • Support 1080P multi-format video decoding (VC-1, MPEG-1/2/4, VP8)
    • Support 1080P video encoding, support H.264, VP8 format
  • Multiple video input and output interfaces
    • Dual camera interface: two MIPI-CSI input interfaces with two ISP image processors
    • Display output interface: Embed two VOPs, support dual-screen simultaneous/dual-screen display, and can choose to output from the following display interface.
  • Rich expansion interface
    • Type-C/DP×1,OTG
    • USB2.0×2,HOST
    • USB3.0×1,According to the RK3399Pro design, the NPU needs to be mounted on the USB3.0, so the USB3.0 needs to be connected back to the NPU. If you need to extend the USB3.0 interface, you need to plug in the HUB.
    • SDMMC×1
    • SPI×1
    • CPU Debug UART×1,NPU Debug UART×1
    • UART×1
    • I2S×1
    • SDIO×1
    • I2C×1
    • PCIe×1
    • PWM×2
    • GPIO,For detailed GPIO definition, please refer to interface definition.
    • ADC×3,One for buttons, one for headset microphone detection, and one for user-definable use
  • High-speed on-board connector for more stability and reliability
    • 4 Panasonic high-speed onboard connectors for higher speed signal stability
    • The core board can be fixed by 4 screw posts for various working environments.
  • Support for multiple operating systems
    • Support Android, Linux, Ubuntu
    • Support U disk upgrade through USB interface
  • Hardware related information
    • Circuit schematic reference design
    • Connector PCB package
    • Core board size
    • Pin definition, interface package
    • Software development guide.pdf
    • Tools. RK driver assistant, firmware upgrade tool, etc
    • Firmware. Android firmware, Linux firmware
    • Source code. Android SDK source codeSoftware related information