A Fingerprint-Based Biometric with Alcohol Detection System Using Sweat Analysis

Biometric authentication systems have evolved to deliver enhanced security and reliability in identity verification. This paper presents an innovative integrated biometric system that combines fingerprint recognition with sweat-based drug and alcohol detection. The proposed system utilizes ultrasonic or capacitive fingerprint sensors for personal identification, coupled with electrochemical or microfluidic biosensors for analyzing sweat composition to detect the presence of alcohol and other illicit substances. Machine learning algorithms are employed to process and interpret sensor data, ensuring high accuracy and consistency. The results are displayed through an interactive and user-friendly interface, supporting real-time monitoring applications in sectors such as workplace safety, law enforcement, and healthcare. This integrated approach offers a non-invasive, rapid, and portable solution for substance detection while maintaining robust biometric security. By merging fingerprint-based identity verification with biochemical sweat analysis, the proposed system advances the frontier of biometric technology, promoting safer and more efficient screening methods.