In order to give a warning to the drowsy driver, this paper proposes a new Fatigue Driving Detection Algorithm. AdaBoost algorithm is applied to fast detect and track human faces, and the algorithm is implemented in FPGA; differential template-based multi-algorithms are used to localize human eyes and recognize eye states; PERCLOS algorithm is adopted to analyze and determine whether a person i...

On average, 1200 accidents happen on Indian roadways every day, resulting in 400 fatalities and numerous injuries. Accidents brought by sleepiness can be the result of fatigue or intoxication. Long periods driving drinking make drivers drowsy, which is their main source distraction. There's a chance that this diversion will lead to. The driver, additional passengers, pedestrians were also murde...

Number of accidents during driving is increasing day by day and drowsy driving has been implicated as a causal factor in many accidents. Goal of driver drowsiness detection systems is to reduce these accidents. It has been seen that most of the accidents occur due to driver’s fatigue and a small due to inattention factor, therefore this paper reviews driver’s fatigue monitoring techniques in de...

The proportion of motor vehicle crashes that involve a drowsy driver likely is greater than existing crash databases reflect, due to the possibility that some drivers whose pre-crash state of attention was unknown may have been drowsy. This study estimated the proportion of crashes that involved a drowsy driver in a representative sample of 47,597 crashes in the United States from 1999 through ...

Internet of Things (IoTs) is a technology that links objects and mechanisms to the Internet. IoT devices are deployed in number areas within transportation sector, notably security surveillance. The ability track driving behaviour on road using can improve driver safety reduce traffic accidents. In this paper, prototype system detect driver’s drowsiness proposed. particular, facial landmark use...

In recent years preventing accidents under drowsiness state has become a major focus for active safety driving. To reduce the accidents rate, it is needed to provide an efficient safety measure. Literature says that, the drowsiness condition of driver is best monitored by using an eye blink sensor (or) fabric electrode (or) ECG Sensor. But by monitoring the drowsiness condition alone, the accid...

Obstacle detection is an active research area in the field of image processing. On road obstacle detection is an important problem in the area of intelligent transportation systems, driver assistance systems and automated guided vehicles. The proposed algorithm detects all obstacles on road using a single onboard camera which is mounted on a travelled vehicle in real-time for driver assistance....

Detection of a drowsy driver is an important aspect driving safety. For this reason, it necessary to have technology carry out early detection before fatigue occurs. Mainly focused on that occurs at night. Analysis can be done quickly and accurately. These conditions sent via data so they monitored analyzed in real time. The results the analysis by communication internet network. In addition, f...

The growing field of digital disease detection, or epidemic intelligence, attempts to improve timely detection and awareness of infectious disease (ID) events. Early detection remains an important priority; thus, the next frontier for ID surveillance is to improve the recognition and monitoring of drivers (antecedent conditions) of ID emergence for signals that precede disease events. These dat...