Red White and Black Wall Decor

SolVisionCase Study

Automated Recognition of License Plates & Cargo Container Numbers

Flexible optical character recognition (OCR) with AI

Shipping management and transportation

Cargo terminals provide services such as container storage, maintenance, inspection and warehousing. As a key transfer point in logistics management, efficiency of these terminals are critical to service quality. Each shipping container usually has an identification number and a corresponding freight vehicle number which can be tracked and recorded for verification of entry or exit from the terminal.  

Flexible optical character recognition (OCR) with AI

Inspection of vehicle license plates in complex lighting

Freight vehicle license plates and container numbers are usually not in fixed locations, and subject to inconsistent angles and lighting conditions. Identification numbers of containers are usually painted on their exteriors, in varying font color and clarity. License plate numbers are also not easy to detect in the ever-changing environment of container terminals.

AI Optical Character Recognition (OCR)

Solvison enables OCR for license plates and container numbers even when shapes, color and locations of characters vary, and are pictured in poor lighting conditions. The system builds an AI model using sample image training to automatically read and convert images into digitized information for inspection and logistics management tasks.

AI Inspection

Container number identification

Body character recognition case

License plate recognition

Body character recognition case
Related Posts
  • an electrician inspecting a wiring panel inside a smart factory

    Electrical Wiring Inspection with AR Technology

    META-aivi displays the standard operating procedures on the device screen, guiding the operator to correct any errors while also outputting detection results with a timestamp.
  • AI Visual Inspection of Socks

    After being trained with a small set of sample images, Solomon SolVision can identify defective products in real-time.
  • Surgical clamps and medical equipment on a green surgical tray inside operating room

    Surgical Instrument Preparation Using AI

    Optimized surgical instrument preparation with META-aivi for enhanced patient safety. 60% time saved. 100% item identification accuracy.
  • Quality Control of Wafer Dicing

    Using SolVision’s Instance Segmentation tool, irregular lines and multi-drilling defects are labeled in sample images to train the AI model.