MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641041770 A) filed by Mohan Babu University; and Ms. Ch. Prathima, Tirupati, Andhra Pradesh, on April 1, for 'smart assistive walking stick with obstacle detection and navigation support for the blind using dog repellent.'
Inventor(s) include Ms. Ch. Prathima; Ms. A. V. Paneendra; Ms. M. Rishitha Sree; Ms. K. Haritha Reddy; Mr. T. Pavan Kumar Reddy; and Mr. Ch. Dinesh Simha Sai.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The technology designed to improve the mobility and safety of visually impaired individuals. A recent report by the World Health Organization (WHO) highlighted the alarming number of deaths caused by these obstacles for the visually impaired. The device proposed here is equipped with an Arduino microcontroller board, ultrasonic sensors, and a sound producing device to repel dogs and prevent them from attacking the blind person. The person able to hear feels of attacking dogs and activate sound device which emits high-frequency sounds range between 20,000 Hz to 25,000 Hz that are unpleasant to dogs, The sound would not harm the dog, but it would make them uncomfortable and encourage them to flee from the area. The IoT Smart Stick for the Blind using The smart walking blind stick with a dog's repellent feature is a revolutionary assistive Arduino is a promising solution that utilizes modern technology and IoT capabilities to greatly enhance the mobility and independence of visually impaired individuals. The device also includes other features, such as obstacle detection, real-time navigation guidance. By addressing the unique challenges faced by the visually impaired, this device has the potential to significantly improve their quality of life, enhance the safety and independence of blind individuals when navigating public spaces. Keywords- IoT, Arduino microcontroller, ultrasonic sensors, dog repellent, high-frequency sounds, obstacle detection, mobility."
Disclaimer: Curated by HT Syndication.
