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Alcohol Detection using Face Recognition Technique Integrated with Embedded System

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Shreyas Joshi, Shreya Kate, Varada Ketkar, Akanksha Bharti, H. V. Kumbhar

Shreyas Joshi, Shreya Kate, Varada Ketkar, Akanksha Bharti and H V Kumbhar. Alcohol Detection using Face Recognition Technique Integrated with Embedded System. International Journal of Computer Applications 158(7):1-3, January 2017. BibTeX

	author = {Shreyas Joshi and Shreya Kate and Varada Ketkar and Akanksha Bharti and H. V. Kumbhar},
	title = {Alcohol Detection using Face Recognition Technique Integrated with Embedded System},
	journal = {International Journal of Computer Applications},
	issue_date = {January 2017},
	volume = {158},
	number = {7},
	month = {Jan},
	year = {2017},
	issn = {0975-8887},
	pages = {1-3},
	numpages = {3},
	url = {},
	doi = {10.5120/ijca2017912650},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


This decisive evaluation discusses the review of road mishaps and car casualties in our country. Most of these are caused due to alcohol consumption by the driver’s. Also many deaths occur due to lack of prompt medical attention needed to the injured person. This has been a matter of concern globally. This paper presents a compendious review of an integrated technique to detect alcohol consumption using face recognition. The existing techniques are not effective. The proposed system eliminates this bottleneck and make the entire detection system more robust. The above mentioned objective can be achieved with the help of embedded systems. The embedded system will control the speed of the car and take necessary actions.


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GSM Modem, GPS Module, Microcontroller, Indicator, Embedded System, Display, Location.