Computer Vision & Edge OCR

KVMS

Real-Time Vehicle Analytics & OCR Classification System

98.2%
Plate recognition accuracy
< 120ms
Frame inference speed
24/7
Continuous unattended field testing

Technical Scope

Automating access control and security monitoring requires sub-second vehicle identification without human intervention.

Architecture Highlights

  • Attribute & Plate Detection: Two-stage neural network architecture isolating vehicle bounding boxes, extracting plate sub-regions, and parsing character sequences.
  • Robustness in Uncontrolled Environments: Pre-processing filters normalizing contrast, skew, and glare under challenging environmental conditions.

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