Automatic License Plate Recognition

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Customer

A renowned Tea Museum and manufacturer in Ooty, managing a large visitor and logistics flow across its factory and museum premises.

Project Details

  • Duration: 4+ Months
  • Platform: Gotilo – Spot

Technologies:

  • YOLOv11-OBB
  • PaddleOCR
  • OpenCV
  • MongoDB
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Problem

  • Manual entry logging of vehicles was time-consuming, error-prone, and vulnerable to manipulation.
  • No reliable way to track vehicle movement history or distinguish between private vehicles and taxis.
  • Lack of a centralized system for analytics, such as peak hours, vehicle types, or parking demand.
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Solution

  • We developed and deployed a scalable ALPR system for real-time detection of license plates, vehicle type, and ownership ( Private vs Taxi ).
  • The solution is installed at different places having different fields of view.
  • The system also uses ROI-based detection logic to count and classify vehicles as IN or OUT.
  • The deployment has led to reduced logging efforts by 90% and increased the handling efficiency by 80%

97+%

Accuracy

10+

Gates Managed

Key Features

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Real-Time Monitoring

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Auto-Training Pipeline of New Productions

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Live Comparision: Actual Production vs Planned Production

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