MUMBAI, India, Nov. 21 -- Intellectual Property India has published a patent application (202441037730 A) filed by Suman A Patil; Anaswara Venunadh; and Cmr Institute Of Technology, Bangalore, Karnataka, on May 14, 2024, for 'blindsafe gadget for pedestrian cross.'
Inventor(s) include Anaswara Venunadh; and Cmr Institute Technology.
The application for the patent was published on Nov. 21, under issue no. 47/2025.
According to the abstract released by the Intellectual Property India: "The visually impaired person's assistance device in the present invention enables a visually impaired person to cross a pedestrian crossing safely on their own without assistance. The portable visually impaired person assistance device of the present invention can offer three types of information regarding a road to be traversed by merely activating the operating unit.: 1) the presence or absence of the road in front of the eyes has a pedestrian crossing; 2) the width of the road; and 3) the length of the road. 3) The color of the signal light may be determined. As a consequence, it is possible to securely cross an insecure pedestrian crossing where motor vehicles often come and leave. Additionally, compared to the Mowat Sensor, you do not need to hold your hands, therefore your hands are not blocked. The system uses a camera and computer, to determine the position of a pedestrian crossing, its width, and the color of any associated traffic lights. Our method for implementing assistive technology is based on the idea of simulating the function of a sighted companion monitoring a traffic scene and communicating the information to a blind pedestrian. This technology for the visually handicapped does not require any cords or wires. It consists of a small camera attached to an eyeglass and linked to a pocket-sized mobile PC.The device gathers, analyzes, and evaluates pedestrian crossing image data obtained by depressing a switch, using computer vision software installed in pocket-sized mobile PCs, and communicates the essential information to the visually impaired individual via a tiny speaker. The system uses a camera and computer to detect the location of a pedestrian crossing, its width, and the color of any related traffic lights. The YOLOv4 algorithm, which is a recent update in the YOLO series, can be used to detect traffic lights."
Disclaimer: Curated by HT Syndication.
