MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641074796 A) filed by Srm University-Ap on June 17, 2026, for Sequential Multi-Modal Thermal And Hyperspectral Imaging System For Fertility Detection And In- Ovo Sex Identification.
Inventors include Sai Venkata Lakshmi Sowjanya Nukala; Darapureddy Divya Deekshitha; Dharavathu Madhuri; Donepudi Siva Padmavathi; Dr. Narendranath Dhulipalla; Dr. Ravikumar Ravichandran; Satya Sekhar Kosuri; and Dr. Karnam Anantha Sunitha.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention relates to a non-invasive multi-modal imaging system and method for early fertility detection, embryo sex identification, and egg quality assessment of eggs using thermal imaging, hyperspectral imaging, image processing, and machine learning techniques. Thermal imaging is initially utilized during early incubation to capture surface temperature distribution and metabolic heat variations for preliminary fertility screening. Thermal features are extracted and analyzed using machine learning algorithms to classify eggs as fertile or infertile. Only fertile eggs are subsequently subjected to hyperspectral imaging for embryo sex prediction and egg quality assessment. Spectral features including spectral signatures, wavelength features, and texture information are extracted and classified using machine learning models. The sequential imaging workflow reduces unnecessary hyperspectral processing, improves computational efficiency, and supports automated large- scale hatchery operations while enabling non-destructive fertility detection, in-ovo sex identification, and egg quality grading.
Disclaimer: Curated by HT Syndication.
