Barcode and QR Code Reading with Edge AI
Detecting and decoding barcodes or QR codes from camera images on-device. Modern ML-based approaches handle damaged, partially occluded, or angled codes that traditional decoders reject. Combines localization with decoding logic running entirely on the MCU. Used in warehouse inventory management, asset tracking, point-of-sale terminals, and healthcare specimen tracking where network-independent scanning is required.
Hardware Requirements
| Minimum RAM | 128 KB |
| Minimum Flash | 512 KB |
| Sensor Inputs | camera |
| Typical Model Size | 80 KB (quantized int8) |
| Minimum Clock | 80 MHz |
Hardware Guides
No hardware guides for barcode and qr code reading yet. Use the MCU Checker to find compatible hardware.
Industry Applications
Orchestrate Barcode and QR Code Reading with ForestHub
Your devices run barcode and qr code reading 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.