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QR Code Recognition

QR code recognition is an AI algorithm that rapidly reads and decodes QR codes, Data Matrix codes, barcodes, and other symbologies from camera images. It is utilized across a wide range of industrial fields including production line traceability management, logistics receiving and inspection, and retail POS checkout.

Algorithm Overview

It rapidly detects code regions in images, automatically determines the code type, and then decodes it. It provides robust reading performance even with tilt, distortion, low contrast, and partial damage.

Edge AI Board (RV1126B) Execution Efficiency

Code TypeProcessing Time
2D Codes (QR, etc.)34ms
1D Codes (Barcodes)29ms

Key Features

  • Diverse code support: QR Code, Data Matrix, Code 128/39, EAN/UPC, PDF417
  • High-speed reading: QR code 34ms, barcode 29ms
  • Both 1D and 2D support: Reads both QR and barcodes in a single application
  • Robustness: Handles tilt, distortion, low contrast, and partial damage

Use Cases

  • Parts traceability management on production lines
  • Logistics warehouse receiving and inspection
  • Retail POS product scanning
  • Pharmaceutical and medical device serial number management
  • Ticket and coupon authentication
  • Handheld terminals for inventory counting

Edge AI Board Implementation

Using the RV1126B, high-speed code recognition is completed at the edge. Integrated with a dedicated library (libzbar), it delivers stable reading performance with low power consumption.