Automatic License Plate Detection Solution

Summary

An industry leader in comprehensive video content analytics platforms, sought to enhance its surveillance services to make cities smarter and safer. They approached Folio3 AI to develop an Automatic Number Plate Recognition (ANPR) solution capable of reading vehicle number plates from images, videos, and live camera streams. The solution needed to handle both printed and handwritten number plates in a standard format approved by the authorities and be deployable on-site.

About the Customer

The customer is a globally prominent company specializing in Video Content Analytics Platforms. Their mission is to enhance urban safety and intelligence through advanced surveillance technologies. With a significant market presence and a commitment to innovation, they continuously seek to improve their solutions to meet evolving security needs.

Understanding the Challenge

The client required a robust and accurate solution to automatically read vehicle number plates from various input sources, including live camera feeds, images, and videos. The challenge was to develop a system capable of recognizing both printed and handwritten number plates in the standard format approved by authorities. Additionally, the solution needed to be deployable on-site to integrate seamlessly with their existing surveillance infrastructure.

Solution

Folio3 AI developed a comprehensive ANPR solution tailored to the client's requirements.

Result

With an accuracy above 90%, the successful on-site deployment ensured seamless integration with the client's existing systems, contributing to their mission of making cities smarter and safer.