Accreditations








Case Study · Global CCTV Vendor
A vehicle number-plate recognition solution for a CCTV vendor — detecting and recognising plates from images, video and live CCTV streams. It detects vehicles, localises the plate via segmentation, enhances and thresholds the image, segments characters, and applies OCR to extract the plate number, which can be verified against a database and logged for entry/exit records.

Industry
Security & Surveillance
Year
2022
Security & Surveillance / Computer Vision / OCR
The project focuses on developing an algorithm capable of recognising vehicle number plates from images, recorded videos and live video streams. The system is designed to work fast enough to detect the plates of fast-moving vehicles, and it creates a record/log of vehicle entries and exits — making it useful for automated vehicle monitoring and access-control applications.
Business requirements & challenges
The system needed to read number plates reliably across multiple input types, fast enough for moving traffic, and maintain an auditable record of vehicle movements.
Key requirements
Solution
The solution uses a sequence of vehicle detection, number-plate localisation, image enhancement, character segmentation and OCR.
Stack
How it works
Where it's used
Business benefits
At a glance
| Client Type | CCTV Vendor |
|---|---|
| Input | Image / Video / Live Video |
| Primary Source | CCTV |
| Vehicle Processing | Automatic Detection |
| Plate Detection | Segmentation Algorithm |
| Image Processing | Enhancement + Thresholding |
| Character Processing | Character Segmentation |
| Recognition | OCR |
| Verification | Number Plate Database |
| Logging | Vehicle Entry & Exit |
| Applications | Tracking, violations, penalties, tolls, parking, access control |
| Business Value | Automation, revenue generation, security and access management |
Related

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Manufacturing
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Education
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Sarva Siksha Abhiyan (SSA), Government of Gujarat
IN
35,000
institutions covered