Development of a Near-Infrared Detection System for Real-Time Monitoring and Prevention of Drunk Driving

Abstract

The rapid growth of China's automobile industry has intensified concerns over transportation safety, particularly the issue of drunk driving. Despite the implementation of stringent policies over the past decade, cases of drunk driving continue to rise, with over two million incidents recorded annually. Current detection methods, including blowing tests and blood tests, face challenges related to accuracy, efficiency, and public acceptance. To address these limitations, this study proposes a near-infrared-based, non-invasive alcohol detection system designed for real-time monitoring of drivers' blood alcohol concentration (BAC). The system utilizes near-infrared technology to detect BAC and activates audible and visual alarms when levels exceed preset limits. It also transmits vehicle and driver information to a designated mobile phone number for prompt intervention. This low-cost, automated system offers significant advantages in convenience, accuracy, and practicality, with the potential to reduce drunk driving incidents and optimize police resource allocation. Widespread adoption of this system could transform alcohol detection practices, enhancing road safety and minimizing traffic-related fatalities.