Drunk Detection Using Thermal-Based Face Images

Driving under the influence of alcohol poses severe risk to road safety, substantially increasing the likelihood of accidents, injuries, and fatalities. Alcohol impairs cognitive functions, motor skills, and judgment, leading to compromised decision-making abilities that can result in dangerous driving behavior. n Malaysia, if caught driving under the influence of alcohol or drugs, offenders could face imprisonment for up to 12 months or a fine of up to RM6,000. Despite these penalties, the country continues to face a high incidence of drunk driving-related fatalities and injuries. The challenge of mitigating impaired driving and enhancing road safety remains persistent. To address the need for improved detection methods for drunk driving, this study introduces the face recognition for alcohol concentration (FRAC) tool. The FRAC system leverages facial recognition and thermal imaging technologies to assess a driver's level of intoxication. By focusing on facial regions such as the forehead, nose, and eyes, where variations in capillary concentration and temperature due to alcohol consumption are most noticeable, FRAC provides a thorough analysis of these physiological indicators. The system's non-invasive and real-time assessment capabilities offer an advancement over traditional breathalyzer tests. Preliminary research indicates that FRAC could serve as an alternative for evaluating intoxication levels, potentially improving road safety by providing accurate detection of impaired drivers. This tool represents a step forward in the search of safer driving environments and effective enforcement of drunk driving regulations.