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.
| Minimum RAM | 128 KB |
| Minimum Flash | 512 KB |
| Sensor Inputs | camera |
| Typical Model Size | 80 KB (quantized int8) |
| Minimum Clock | 80 MHz |
No hardware guides for barcode and qr code reading yet. Use the MCU Checker to find compatible hardware.
ForestHub compiles visual AI workflows to C code for your microcontroller. Choose your hardware, build your barcode and qr code reading pipeline, deploy in minutes.