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@article{203004,
        author = {Prathamesh R. Jamdade and Dr. Santosh Gaikwad},
        title = {Computer Vision and AI-Based Driver Behavior Analysis for Smoke and Alcohol Detection.},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {9694-9699},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=203004},
        abstract = {The problem of road accidents has recently become very significant due to poor activities like smoking and alcoholism. The effect of these activities influences the focus, response time, and decision-making capability of the driver. In this research paper, an algorithm is presented that detects accident-prone drivers by using methods of computer vision and artificial intelligence. The algorithm makes use of data collected through the image and sensor to detect the presence of alcohol within the driver. The actions of the driver can be detected based on his gestures and facial expressions. When there is any risky activity detected, the system generates a warning message for the driver.},
        keywords = {Driver Monitoring System, Behavioral Detection Algorithm, Artificial Intelligence Approach, Alcohol Detection Mechanism, Smoke Activity Detection, Road Safety Improvement},
        month = {May},
        }