TY  - JOUR
PY  - 2018//
TI  - To detect drowsy and eye state analysis of driver's behaviour for the intelligent transport system
JO  - Indian journal of public health research and development
A1  - Sudhakar, J.
A1  - Srinivasan, S.
SP  - 902
EP  - 905
VL  - 9
IS  - 3
N2  - In recent days the accidents mostly occur, because of very fast driving. so we are losing our valuable life by making a small mistake of drivers. Driver fatigue resulting from sleep disorders is an important factor in the increasing number of accidents. The scope our system is used to monitor and control the vehicle when the driver consumes alcohol. In our methodology is used to monitor the alcohol level in the breath of the driver. Eye blink and Tilt sensor is used to detect the drowsiness of the driver. Alcohol sensor is used to detect whether driver is drunken or not. If they attend drowsiness for three times or consumed alcohol, buzzer will be on for alerting the driver. Still if he went to drowsiness message will be transmitted to authorized person and the car will be stopped. The car will be started after getting a message from that authorized person. The total systems will restarted with in the 20 or 30 minutes for driver compatibility.<p />  <p>Language: en</p>
LA  - en
SN  - 0976-0245
UR  - http://dx.doi.org/10.5958/0976-5506.2018.00402.3
ID  - ref1
ER  -