MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202541020129 A) filed by Bhimana Sasidhar; Dr. Chinni Himabindu; Dr. Boyinarevathi; Dr. Kishore Babu Medarametla; Shaik Sameer; and Pinnaboina Sai on March 06, 2025, for Innovative Non-Invasive Blood Group Detection Using Fingerprint Imaging And Machine Learning.
Inventors include Bhimana Sasidhar; Dr. Chinni Himabindu; Dr. Boyinarevathi; Dr. Kishore Babu Medarametla; Shaik Sameer; and Pinnaboina Sai.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: ABSTRACT "In nova tive-N o n;lnvasive-Biood-6 rou p-Detecti on-Us i ng-Fi nge~p fin t-1 magi ng-a n d-M ach i ne Learning" This patent application introduces an innovative, non-invasive technology for determining a person's blood group by analyzing their fingerprint patterns using machine learning algorithms. The key · aspects of the invention include capturing high-quality fingerprint images, extracting distinctive biometric features, and utilizing a trained Convolutional Neural Network model to predict the blood group. The invention also proposes developing a secure, large-scale biometric database that links anonymized fingerprint patterns to blood group data, enabling scalable and reliable blood group prediction. The technology is implemented as a user-friendly, AI-driven web application that can be accessed in resource-limited ·settings, expanding the availability of blood group identification services. By integrating biometrics and artificial intelligence, this invention promises to revolutionize medical diagnostics by offering a safe, effective, and accessible technique for blood group detection, with potential applications in emergency care, remote healthcare, and military field use, addressing tlje limitations'qftraqitional blood-based methods.
Disclaimer: Curated by HT Syndication.
