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@article{151291,
        author = {Harshada Nanaware and Snehal Pawar and Vaishnavi Jadhav and Namrata Rade},
        title = {Vehicle Accident And Driver Drowsiness Detection System Using Raspberry pi},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {12},
        pages = {396-399},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151291},
        abstract = {Every day many people die due to road accidents. Big accidents on road can impact the economy.  One of the major causes of the accident is driver drowsiness. By reducing time to reach the accident location as soon as possible with help of an accident detection system using raspberry pi. In India, road accidents are a very big issue that causes the death of very valuable human life. To reduce these accidents this paper introduces one more system that is image processing. Road Accidents happen anywhere where do not have a chance to rescue them. Where these locations are far from local areas. So for this causes the medical facility or ambulance couldn’t reach this location. but in that system here use GPS  and GSM module. The main reason behind accidents is alcohol and driver drowsiness. For this problem, the system contains an alcohol sensor. And for Driver Drowsiness CNN  algorithm was used. Which is give maximum Accuracy. So with the help of this system may such accidents have reduced.},
        keywords = {Raspberry pi, GSM, GPS, Image processing},
        month = {},
        }