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Prototype Development to Detect and Study Substance Abuse based on Non-invasive, Non-contact Iris Analysis Using Deep Learning Techniques

Implementing Organization

Principal Investigator
Dr. M Jeevan
Manipal Institute Of Technology-Manipal Academy Of Higher Education, Karnataka
jeevanmedi@gmail.com
CO-Principal Investigator
Dr. P V Bhandary
Manipal Academy Of Higher Education, Tiger Circle Road, Madhav Nagar, Manipal,Karnataka,Udupi-576104
CO-Principal Investigator
Dr. Omkar S Powar
Manipal Institute Of Technology-Manipal Academy Of Higher Education,Udupi - Karkala Road, Eshwar Nagar, Manipal,Karnataka,Udupi-576104
CO-Principal Investigator
Dr. Rayan Mathias
Manipal Academy Of Higher Education, Manipal,Madhav Nagar, Manipal,Karnataka,Udupi-576104

Project Overview

The employment of a system to identify and assess people who are impaired with substance abuse is one of the strategies for managing this issue. The most visible sign of substance abuse is the person's eyes, but there are additional health risks as well, including changes in the gums, nails, skin, and general behavior. Most pupils are either dilated or constricted when they're overdosed. The color of a person's iris substantially alters when they are intoxicated. The blood vessels in their eyes dilate when they absorb excessive quantities of alcohol, marijuana, or cocaine. This problem is referred to as bloodshot eyes, which is a typical sign of substance abuse. Despite substantial research into light-induced pupil dilation, little has been done to understand and treat the effects of drug-induced pupil dilatation. This study will focus on iris-based drug recognition like alcohol, marijuana, etc., and their impact on recognition performance is examined. The main objective is to develop a prototype to identify the individual with substance abuse with the aid of iris recognition. Unmasking these features can provide valuable insight into which drugs may be causing adverse reactions. This can help doctors reach a diagnosis more quickly while providing timely and effective treatment.
Funding Organization
Quick Information
Area of Research
Engineering Sciences
Focus Area
Electronic Devices, Bio-Medical Devices, Application Oriented Materials
Start Date
08 Oct 2024
End Date
07 Oct 2027
Status
ongoing
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
00
Publications
00
No. of Patents
Filed : 00
Grant : 00
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