License Plate Recognition with Edge AI

Detecting and reading license plates from camera images at the edge. Combines object detection for plate localization with character recognition for reading plate numbers. Requires higher resolution input and more compute than simple classification tasks. Deployed in parking management, toll collection, and access control systems where cloud connectivity is unreliable or latency-critical.

Hardware Requirements

Minimum RAM 256 KB
Minimum Flash 2048 KB
Sensor Inputs camera
Typical Model Size 300 KB (quantized int8)
Minimum Clock 120 MHz

Hardware Guides

No hardware guides for license plate recognition yet. Use the MCU Checker to find compatible hardware.

Industry Applications

Security Smart Cities Parking Transportation

Build License Plate Recognition with ForestHub

ForestHub compiles visual AI workflows to C code for your microcontroller. Choose your hardware, build your license plate recognition pipeline, deploy in minutes.