An Intelligent Embedded Alcohol Detection System for Drivers
The threat of driving under the influence of "unreasonable" drinking is responsible for more than 60% of the increasing number of accidents in the world. This paper presents an embedded system for detecting alcohol. In this paper a self-testing breathalyzer will be designed so that drivers can better avoid the danger of drunk driving. The proposed model was created using a PC connected with the Arduino Mega board, alcohol detection sensors, and other sensors. Alcohol detection sensor (MQ-3) is connected to the Arduino Mega when the driver breathes through to detect the blood alcohol level. Each time the driver exhales, a sensor measures the alcohol level and analyses whether it is within a "safe" range. When excessive alcohol levels are detected, the results are displayed on an OLED screen, and it triggers an alarm (a buzzer and an LED light). The paper also presents a proposal for a global alcohol detection system with Ignition Interlock Devices (IID) capability. We are proposing using a phone as a biometric verification method to detect the Blood Alcohol Concentration (BAC) of the driver, measured using an infrared spectroscopy sensor, and communicate back to a central station system through a vehicle controller.
Authors
- Sheng'an Duan
- Abdel-Rahman Shaout (ORCID: https://orcid.org/0009-0003-3316-2866)
- Adnan Shaout (ORCID: https://orcid.org/0000-0002-9686-5804)
Institutions
- Oakland University (US)
- University of Michigan–Dearborn (US)
Publication Details
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1109/acit62805.2024.10876894
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00