- Application: This document describes how to program Keras weight for deep learning technology to develop car plate recognition, and to help users to implement the car plate recognition on the NuMicro® M480 series microcontroller.
- BSP Version: M480 BSP CMSIS V3.05.001
- Hardware: NuMaker-IoT-M487 Ver1.2
With DNN (Deep Neural Networks) and CNN (Convolution Neural Networks) that support machine learning networks, the NuMicro® M487 Ethernet series from Nuvoton, a high performance and low power microcontroller, is suitable to be used in related applications. A M480 platform (with M487 on it) could recognize any vehicle license plate by using its learning neural network algorithms. A CMOS sensor is required to capture the plate image and it takes around 200 ms to identify the image. The M487 supports the image resolution of QVGA 320 x 240.
This sample code captures car license plate, using machine learning neural network algorithms for identification. The Arm® Cortex®-M4 core supports the DSP instruction to speed up algorithms. The information can be transmitted to a peripheral such as UART on edge device.
You can download the sample code at https://www.nuvoton.com/resource-downlo ... 0118165849