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Client-Server Eye Scanning App for Defining 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

The app is designed to detect drug abuse. It scans the eye of person and then processes and analyzes the image.

The client developed an innovative idea to use the correlation between the pupil size and drug intoxication in order to detect drug abuse. They required the full cycle service for building a mobile solution and implementing it on Android, with tech support up to the product launch on Google Play.

  • Business name NDA
  • Location USA
  • BUSINESS ACTIVITY Healthcare security services provider

Problem

Softeq was to deliver a user-friendly mobile application that allows finding out if someone is currently under the influence of drugs making eye scans, measuring the pupil and quickly analyzing the results. 

Targeting a wide audience from individuals to law enforcement, the solution implies catering for the following purposes:

  • Testing the office staff
  • Face control in the entertainment venues
  • Checking up suspects before detention or arrest
  • Testing police officers on shifts
  • 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. 

  • After the flashlight and the camera view of mobile device are activated, the user should focus the photographic lens on the eye of the person being scanned and keep it on until the 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 the regular parameters (from 3.0 to 6.5 mm). 
  • The EyeScan mail server generates the result and immediately pushes it to the device screen informing the user if it is normal or abnormal.

The app’s monetization is based on the monthly subscription model, allowing 60, 120, 300, 500 or an unlimited number of scans and results sharing via email.

The product’s security is ensured by the password adjustment procedure comprising 3 steps, as well as the user email check. However, the procedure is optional and can be skipped by the user.