MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202541132822 A) filed by Sri Sai Ram Engineering College, Chennai, Tamil Nadu, on Dec. 29, 2025, for 'critix - bovinebuff identifier.'
Inventor(s) include Aishwarya Y; Anushree M; Bhavatharani A; Dr Csavithri; and R Chitra.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "Accurate identification of cattle is crucial for efficient livestock management, disease monitoring, and traceability across the agricultural supply chain. Conventional identification techniques such as ear tags, branding, and RFID systems often face issues of tampering, data inconsistency, and animal discomfort. To address these challenges, this project introduces a | Cattle Biometric Identification System that utilizes deep learning-based image analysis for | reliable and non-invasive cattle recognition. The proposed system captures cattle muzzle and facial images and processes them using MobileNet, a lightweight and highly efficient convolutional neural network optimized for real-time applications. MobileNet extracts distinctive biometric features-such as muzzle texture patterns and facial geometry-while I ' maintaining low computational overhead, making the system deployable even on edge devices i 5 or mobile platforms. These extracted features are encoded into unique biometric signatures and ' matched against a secure database for accurate identification. Experimental results demonstrate * high recognition accuracy, fast inference time, and scalability across varying environmental j conditions. By integrating a compact yet powerful deep-learning model, this biometric : approach provides a tamper-proof, cost-effective, and field-ready alternative to traditional ; livestock identification methods, enhancing traceability and livestock management efficiency."
Disclaimer: Curated by HT Syndication.
