Abstract
The objective is to provide a resources and devices for detecting and recording collusion between bikes. Sensors and cloud computing infrastructures are utilized for building system. The collision detection system communicates the accelerometer values to the processor which continuously monitors for erratic variations. When the collision occurs, the information’s are passing to the concern by using a cloud-based service. GPS is used for identifying the location of the bike. The application of this system is extended to smart cities and smart helmets.
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