An Efficient Smart Sensing Based Driving Assistance for Safety and Control System in IoT Environment

The travelling performance in now days be very tedious due to safety and control be need continuously to improve and the study results relating to the safety of car driving have also been continuously reported and demonstrated, it is trying to find a balance point between the development of vehicle speed limit, drunk, smoke monitor and the protection of driver’s safety. In the current study and development of various products, no matter it is in the enforcement of vision system to monitor and control safety measure. This presents a new concept of smart sensing and an experimental validation of a real-time driver assistance system involving multiple sensors and actuators monitoring an area around the vehicle and conveying alerts to the driver. The proposed system has drunk smoke prediction and vibrate system, detects the presence of obstacles within the monitored area such as eye blink sensor, accelerometer control, alcohol smoke sensors and IoT alert system and alerts the driver via a combination of tactile, audio, and visual signals with vibrate alerts. It features simple smart sensors installed at the two front corners and the two blind spots of the vehicle make assistance. Our design is inexpensive and flexible, which makes it deployable as an add-on to existing vehicles. In particular, the interconnection of modules is achieved with low cost and high quality. The main objective of this paper is development of a system that can provide prior accident information to the vehicle control unit so that it can enable the vehicle to prevent the happening of accident and record the vehicle’s moving status and conditions so that the record will provide the decision basis in the accident investigation if it unfortunately happens the fatal accident.