Edge Computing for License Plate Recognition

This demo captures license plates using machine learning neural network algorithms to identify. The Arm® Cortex®-M4 core supports the DSP instruction to speed up algorithms. In addition, the information can be transmitted to the cloud through Wi-Fi or NB-IoT to realize the image recognition on an edge device.

  • Features

    Board 1: Edge Computing for License Plate Recognition

    Supports multiple image pre-processing algorithms
    Supports convolutional neural network (CNN)
    - Supports 320*240 TFT LCD Panel to show the image of original License Plate
    - Supports Wi-Fi module to transfer the recognition result to the 2nd board

    Board 2: TFT LCD Control Board to show the recognition result

    - Uses Wi-Fi module to receive the recognition result and show the result on the 320*240 TFT LCD Panel
  • Specifications
    M480 (32-bit Arm® Cortex®-M4F)
    - CPU frequency up to 192 MHz
    - Built-in up to 512 KB Flash and 160 KB SRAM
    Built-in DSP Accelerator to finish the image recognition in 0.5 seconds
    Supports Camera capture interface and hardware binarization
  • System Block Diagram
    Edge Computing for License Plate Recognition
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