The rise of smart traffic applications and video surveillance systems have led to a need for automatic number plate recognition that is highly accurate. It is a requirement that Avnet’s automatic number plate recognition system can more than easily meet.
Developed by Avnet Engineering team, this license plate recognition design is based on Avnet Ultra96 board, a cost-optimized Xilinx 16nm SoC prototyping platform for embedded vision and industrial IOT systems. It is a reference design that deploys the custom deep learning network in Tensorflow framework together with Xilinx AI development tools and IP, achieving the result of accuracy performance of 92% and a recognition performance of up to 37.6 plates/second.

Features
- Custom Deep Learning Network
- Tensorflow framework
- MMdnn framework conversion
- Xilinx DeePhi DNNDK 2.08
- Xilinx DeePhi DPU
- Accuracy 92%
- Performance 37.6 plate/s
Target applications
- Parking automation
- Electronic road tolling
Key components
- Avnet Ultra96 development board
- Xilinx Zynq UltraScale+ MPSoC ZU3EG
- 2GB LPDDR4
- Wi-Fi
- USB Camera
Reference Solutions
Automotive solutions
From connected cars, security, safety to energy saving, our expertise in automobile will support your innovations, enable interactions between cars, people and infrastructures.
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