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Detecting substance abuse through safe eye image analysis

Prototype Development to Detect and Study Substance Abuse based on Non-Invasive,Non-contact iris analysis using deep learning techniques - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/08/092851
Enrollment
3402
Registered
2025-08-12
Start date
Unknown
Completion date
Unknown
Last updated
2025-08-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: Z698- Encounter for mental health services for victim or perpetrator of other abuse

Interventions

Control Intervention1: Alcohol: Have consumed alcohol within 72 hours prior to data acquisition. Control Intervention2: Cannabis: Have consumed cannabis within 72 hours prior to data acquisition. C

Sponsors

Anusandhan National Research Foundation (ANRF)
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Participants must meet the following conditions to be eligible for enrollment: 1. Participants must be willing to provide consent for eye imaging and participation in the study. 2. For the intoxication classes, individuals should have consumed alcohol, cannabis, MDMA or any other intoxicant(s), within 72 hours prior to the imaging. 3. For sober class, individuals who do not consume any intoxicant.

Exclusion criteria

Exclusion criteria: Participants meeting any of the following conditions will be excluded: 1. Individuals with existing ocular diseases, injuries or conditions affecting the iris. 2. Individuals under medication known to affect the iris. 3. For intoxicant classes, participants who have taken antagonist medications or drugs that could interfere with intoxicant effects. 4. For sober class, participants who have consumed any nervous stimulant(s) within 3 hours prior to iris image acquisition.

Design outcomes

Primary

MeasureTime frame
1. Design and develop an optical system for high-resolution iris image acquisition. 2.Collect and register iris data from individuals with and without a history of substance abuse to investigate the effects on iris patterns. Timepoint: Month 8: Optical calibration and testing Month 14: Database curation and quality check

Secondary

MeasureTime frame
Analyse the collected data using deep learning (DL) techniques to classify individuals based on substance-induced changes in their iris patterns.Timepoint: Month 31: Testing of the DL model Month 32: Validation of the model with real time data

Countries

India

Contacts

Public ContactDr Jeevan M

Manipal Institute of Technology, Manipal

jeevan.m@manipal.edu9718237325

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026