MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202621037090 A) filed by Indian Institute Of Technology, Indore, Madhya Pradesh, on March 26, for 'system and method for cattle biometric identification using intelligent frame selection and hybrid neural networks.'
Inventor(s) include Prashant Digambar Pathak; and Surya Prakash.
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 present invention pertains to a system and method for cattle biometric identification using intelligent frame selection and a hybrid CNN-Vision Transformer (ViT) framework. The system(100) comprises an input acquisition module(101) configured to capture video or image sequences of cattle, a preprocessing module(102) for resizing, normalization, and region-of-interest extraction, and a smart frame selection module(103) that evaluates and selects the most informative frames based on quality metrics and discriminative criteria. The selected frames are processed by a hybrid feature extraction module(104) comprising a CNN sub-network(104A) for extracting fine-grained local texture features, a ViT sub-network(104B) for capturing global contextual representations, and a feature fusion block(104C) that combines both into a unified feature descriptor. An identification and classification module(105) matches the unified features against a gallery database(106) to determine cattle identity, and an output module(107) generates the identified cattle identity with an associated confidence score."
Disclaimer: Curated by HT Syndication.
