MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202641007125 A) filed by Mohan Babu University; and Dr. Gurram Sunitha, Tirupati, Andhra Pradesh, on Jan. 24, for 'real-time microbial detection and classification using yolo framework.'
Inventor(s) include Dr. Gurram Sunitha; Mr. Chinthapatla Pranay Varna; Mr. Golla Rajesh; Mr. Bukke Mounish Naik; and Mr. Gangula Chaitanya.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The invention herein reveals a YOLO-based deep learning architecture for effective microbial image classification. Traditional microbial detection techniques like culture methods and manual microscopic examination are time-consuming, labor-intensive, and susceptible to human errors. Current deep learning approaches, though promising, tend to be unscalable and lack real-time capabilities. The invention overcomes the above limitations by using the YOLO algorithm, which makes a single pass over the entire images to detect, localize, and classify microbial species with high speed and precision. The architecture of the system includes data acquisition, preprocessing, YOLO-based detection, and deployment modules. Experimental results indicate that YOLO performs better than the conventional CNN and region-proposal models in accuracy, inference time, and reliability. The system is flexible for use in clinical labs, research institutions, food industries, and pharmaceutical quality control. Through the provision of real-time, scalable, and automated microbial classification, the invention greatly improves the efficiency and accuracy of microbial diagnostics and monitoring."
Disclaimer: Curated by HT Syndication.
