Abstract

The automobile industry is one of the most thriving and rapidly growing industries in the modern world and with the recent advancement in technologies, it is inevitable to avoid the merger of different technological sectors for creating more efficient systems. Automobile manufacturers have understood the plethora of features and advancements IoT provides and especially in the safety of the vehicle and its passengers and as the cars become bigger and longer, the safety of the vehicle has become a major concern for the manufacturers as bigger support pillars introduce more hindrance in the driver’s field of view. It becomes even more difficult for amateur drivers and geriatric people to handle such vehicles, as they are not able to get a proper judgment of the size of the car making them unable to maneuver the car properly. So far, only a few cost-effective systems are available in the market which assists the driver in avoiding a front-head collision. In this paper, an android application has been built that incorporates all of the above-mentioned components and helps to avoid head-on accidents utilising the Raspberry Pi, motioneyeOS, cameras, Arduino, ultrasonic sensor, and LCD screen. The cameras are placed in front of the vehicle which will assist the driver in avoiding the obstacles which are in front of the car. The prototype system has shown promising results and the components and the technology implemented are quite feasible and cost-effective.

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