MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049084 A) filed by Krishna Veni Sahukara; B Charmini; Gali Akshay; K Purushotham Reddy; M Sanket; and Gayatri Vidya Parishad College For Degree And Pg Courses, Visakhapatnam, Andhra Pradesh, on April 17, for 'ai and iot based automated waste detection and segregation system.'
Inventor(s) include Krishna Veni Sahukara; B Charmini; Gali Akshay; K Purushotham Reddy; M Sanket; and Gayatri Vidya Parishad College For Degree And Pg Courses.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "Modern society is currently facing a great problem associated with the growing number of urban areas, industries, and increasing populations. Manual sorting techniques are inef- ficient and slow processes that are highly dangerous for health. For such reasons, this research project focuses on an automatic waste detection and segregation system that relies on Artificial Intelligence (AI) and Internet of Things (IoT). A deep learning algorithm YOLOv8 is integrated in the solution and is responsible for detecting objects in real-time, while induction, capacitive, moisture, and ultrasonic sensors validate the sensors' data. The device sorts wastes in four groups, including metal, plastic, dry wastes, and wet wastes. The Arduino Uno board controls all the processes within the solution, such as managing a conveyor belt, servo motors, sensors, LCD screen, and buzzers. Tests proved high accuracy (94% - 96%) of the proposed system that makes it perfect for sorting waste in the conditions of smart cities, industry, and touchless operation."
Disclaimer: Curated by HT Syndication.
