• Ramyashree N
• Vidya Rani H J
• Jyothi S

Abstract: Real-time obstacles detection and status classification in vehicle active safety system helps to avoid accidents. The driver is alerted by Eye blink monitoring system when the driver is at drowsy state, Embedded system alerts the driver when he is in initial sleep cycle of drowsiness. An alcohol is detected using the MQ3 sensor if at all a person has boozed and driving a vehicle, automatic speed break is applied to the vehicle to prevent the further injury happening. If by chance an accident is occurred to the vehicle a message is sent to the guardian mobile, a photo is captured and emailed to the guardian smart phone and also the location is sent to the guardian through GSM. Due to the driver's drowsiness many of the road accidents take place during night times an Eye blink sensor is used in order to avoid accidents. An alarm is alerted for all the applications. Data acquired by the sensors over a network are transmitted by Internet of Things enabled sensors. Transmitted data is used for giving quick response under emergency conditions.

IndexTerms - IPv4, Eye blink sensor, Internet Of Things (IOT), Machine-to-Machine communication, IPv6, URL.

"IOT based Real Time Active Safety System to Avoid Accidents.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.290-294, June-2018, Available :http://www.jetir.org/papers/JETIR1806546.pdf

"IOT based Real Time Active Safety System to Avoid Accidents.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp290-294, June-2018, Available at : http://www.jetir.org/papers/JETIR1806546.pdf