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
Orchestrate License Plate Recognition with ForestHub
Your devices run license plate recognition on-device. ForestHub on your Linux edge gateway ingests their results over MQTT/Modbus/OPC-UA, orchestrates the sense-reason-act loop as an auditable graph, and acts on the line — the LLM is one node among many.