AI-Powered Eye Scan for Drug and Alcohol Impairment Detection Analysis

This report examines an AI-powered mobile application designed for detecting drug and alcohol impairment through eye scanning technology. The application utilizes pre-set alcohol data thresholds and retina scanning to assess an individual's level of intoxication, comparing the scanned data against a pre-determined baseline. If a person's alcohol rate exceeds the threshold, the test indicates impairment. The report highlights the security, user-friendliness, and potential benefits of this technology for personal use, organizational HR, and law enforcement. It references supporting studies on electroretinography and drug testing methods. The application's ability to store and share results, along with its non-invasive nature, makes it a valuable tool for early detection and assessment of substance influence, providing a practical and accessible method for drug testing.

0Running head: EYE SCAN DRUG AND ALCOHOL IMPAIRMENT DETECTION
EYE SCAN DRUG AND ALCOHOL IMPAIRMENT DETECTION
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1EYE SCAN DRUG AND ALCOHOL IMPAIRMENT DETECTION
General Summary:-
A drug testing is a practical investigation of a biological sample, for example, hair, blood, sweat,
urine hair to control the absence or presence of specified parent drugs or their metabolites. Many
application is very much helpful to detect any drug-addicted people (Huang et al., 2015). Eye scan Drug
and Alcohol impairment detection service is the one critical drug testing application which is works by
scanning a people's expression via mobile phone camera and measuring the persons and eyes for
intoxication.
Mathematics:-
This mobile application is storing some pre assumption data automatically. Let us assume the
constant alcohol data is (X). The person who is appearing for this test then his/her alcohol rate suppose is
equal to (X) or less than (X) then they are free. Otherwise, if the alcohol rate is more significant than (X),
then they fail for the drug test. With the help of eye retina scanning the tester are easily detect the drug-
addicted people.
Example: - Let us consider the preliminary percentage of alcohol rate of these devices is 10.125%.
Suppose, the police catch A and B, and they appear from the drug test. The police are
scanning there retina and find their value of 9.547% (A) and 16.542% (B), respectively. So for the above
discussion calculation, the drug tester says that A is safe, but B fails. Because the percentage rate of the
B's Alcohol rate is (16.542-10.125) % = 6.417% increased.
Fine Points:-
These applications are easily found, drug-addicted people. Not only that these applications also
detect the alcohol intake rate. These eye scanning devices are very much secure because the drug tester is
using these devices at any time and at any moment. These devices also not injuries for health because
some other retina scanners are using the lesser frequency detector, but these applications are not using any

2EYE SCAN DRUG AND ALCOHOL IMPAIRMENT DETECTION
light sensor (Januschowski et al., 2014). This application is user friendly, and the household people can
download these applications on their mobile phone. Operators then have a select of either storing the
consequences on their device or distributing it through mobile message. With the help of these
applications, the user can save a considerable number of data at a time.
Opinion:-
This device can be very much useful for personal human personal life. The concern parents can
use these applications to their children (van Nuijs et al., 2014). These are a reckless, reasonable, and
relaxed way to conduct a test without accepting a testing capacity. Any organization's HR executives and
law execution team are not the only ones who can take advantage of this app.

3EYE SCAN DRUG AND ALCOHOL IMPAIRMENT DETECTION
References:-
Huang, W., Collette III, W., Twamley, M., Aguirre, S. A., & Sacaan, A. (2015). Application of
electroretinography (ERG) in early drug development for assessing retinal toxicity in rats.
Toxicology and applied pharmacology, 289(3), 525-533.
Januschowski, K., Schnichels, S., Hagemann, U., Koch, V., Hofmann, J., Spitzer, M. S., ... & Aisenbrey,
S. (2014). Electrophysiological toxicity testing of VEGF Trap‐Eye in an isolated perfused
vertebrate retina organ culture model. Acta ophthalmologica, 92(4), e305-e311.
van Nuijs, A. L., Gheorghe, A., Jorens, P. G., Maudens, K., Neels, H., & Covaci, A. (2014).
Optimization, validation, and the application of liquid chromatography‐tandem mass
spectrometry for the analysis of new drugs of abuse in wastewater. Drug testing and analysis,
6(7-8), 861-867.