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Client-Server Eye Scanning App for Identifying Drug Intoxication

  • Java
  • Android SDK
  • OpenCV
Solution

Application empowered with pupil size detection algorithm

Industry Healthcare
Engagement Model

T&M

Methodology

Agile

Team
  • Software Developers
  • QA Engineer
  • Project Manager
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Customer

Problem

Softeq was to deliver a user-friendly mobile application that makes it possible to detect if someone is currently under the influence of drugs by performing eye scans, measuring the subject’s pupil, and quickly analyzing the results. 

Targeting a wide audience from individuals to law enforcement, the solution addressed the following issues: 

  • Testing office staff
  • Face control in entertainment venues
  • Checking suspects before detention or arrest
  • Testing on-duty police officers
  • Preventing drug use among children and adolescents either at home or at school

Solution

The app’s principal functionality is based on a custom pupil size detection algorithm. 

  • A mobile device with an activated camera scans the eye of the person until a picture is taken.  
  • As soon as the scan is captured, it is processed and analyzed. 
  • The app measures the size of the pupil on the scan and defines whether it corresponds to regular parameters (from 3.0 to 6.5 mm). 
  • The EyeScan mail server generates the result and immediately pushes it to the device’s screen informing the user if it is normal or abnormal.

The app’s monetization model is based on the monthly subscriptions, allowing 60, 120, 300, 500 or an unlimited number of monthly scans. The app can also share results via email.

The product’s security is ensured by a three-step password adjustment procedure, as well as a user email check. The procedure is optional and can be skipped by the user if they choose not to employ it.