MUMBAI, India, July 11 -- Intellectual Property India has published a patent application (202521058719 A) filed by Gawande, Manisha Arun; and Varade, Suchita W, Amravati, Maharashtra, on June 19, for 'an integrated system for non-invasive subcutaneous vein detection and vascular abnormality diagnosis.'
Inventor(s) include Gawande, Manisha Arun; and Varade, Suchita W.
The application for the patent was published on July 11, under issue no. 28/2025.
According to the abstract released by the Intellectual Property India: "The present invention is related to an integrated system for non-invasive subcutaneous vein detection and vascular abnormality diagnosis using near-infrared (NIR) thermography and deep learning techniques. The system comprises a NIR thermographic sensor array (102), a high-resolution NIR imaging camera (103), an image acquisition and preprocessing module (104), a deep learning processing unit (105), and a display interface (106). When positioned above patient's hand (101), the system captures thermographic images revealing subcutaneous heat patterns associated with vascular structures. These images are processed using convolutional neural networks (CNNs) and refined with DeepLabV3+ architecture for accurate segmentation of veins and detection of vascular anomalies. The output is displayed in real-time with visual overlays to assist in intravenous procedures and early diagnostics. The invention enhances clinical efficiency, improves patient comfort, and enables early identification of vascular conditions using a compact, AI-driven, non-contact imaging platform."
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