MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641058196 A) filed by Hindusthan College Of Engineering And Technology on May 07, 2026, for Enhancing Traffic Sign Detection In Challenging Light Environments Using Image Dehazing And Artificial Intelligence.
Inventor includes Hindusthan College Of Engineering And Technology.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: This invention describes a system that helps detect traffic signs in challenging weather conditions, such as fog, haze, low light, glare, and rain. The system uses image processing and artificial intelligence to make traffic signs more visible and easier to recognize. It works by removing haze from images with a method called dark channel prior and guided filtering. Next, it employs a type of AI known as a Convolutional Neural Network (CNN) to detect traffic signs. This method performs well even when the images are unclear. The system was created using MATLAB, which supports simulation, processing, and evaluation. Key features include: •Traffic signs are more visible in low-light conditions. •The system improves image quality through dark channel prior and guided filtering. • It effectively detects and classifies traffic signs using a CNN-based AI model. •The system processes information in real- time with a response time of about 0.5 seconds. •It achieves a high detection accuracy of over 95% in various environments . •The system functions well in adverse weather conditions like rain and haze. • It can easily integrate with self-driving cars and driver assistance systems . This system is ideal for self-driving cars, intelligent transportation systems, and road safety. It provides a solution for recognizing traffic signs in real-world conditions.
Disclaimer: Curated by HT Syndication.
