MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641106947 A) filed by Easwari Engineering College; and Srm Institute Of Science And Technology,ramapuram Campus on September 05, 2026, for Deep Learning Based System For Lower Limb Vascular Abnormalities Detection And Therapeutic Recommendation.
Inventors include Harini Priya S; Santhiya A; Shankari Prasanthi S; and Dr. R. K. Ahalya.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: The invention introduces a deep learning system designed to detect vascular issues in the lower limbs and suggest treatments.It uses a non-contact thermal camera to take images of the legs and spot unusual temperature patterns that might indicate problems like varicose veins.These images go through a series of steps, including resizing, noise removal, normalization, and focusing on specific areas, before being processed by a deep learning model called VenoNet.This model has been trained using both normal and abnormal thermal images to accurately identify vascular conditions and provide treatment suggestions.A control unit based on an ESP32 microcontroller gets the model’s output and manages wearable therapy devices.The system includes temperature and pressure sensors to keep track of treatment conditions and user responses.If it detects abnormal heat patterns, it can send alerts and start a controlled therapy process using a Peltier temperature control unit and a vibration motor.The system also keeps an eye on safety limits and automatically stops the treatment if any set thresholds are crossed during therapy. Total Number of Words in Abstract:144
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