Design and development of driver’s driving pattern analysis for automatic license issuing system

A new automated system is planned for the prevention of illicit licenses and hence for accidents. You may use the Bayesian logic classification method and extraction algorithm to construct this system. For identification of results, the suggested system must construct the wireless sensor network and the multi-sensor fusion sensor network. Map management also needs to be compared with data source to evaluate test data from Vehicle Data Recorder (VDR). The combined transmission of the map-based and multi-fusion sensor is done via a remote server. With data mining for results, the Bayesian classification technique is implemented. As a gateway is utilized the CC2500 wireless module. The system proposed is the removal of the existing Indian driving licensing process. The test vehicle will be assigned for this applicant with the number of sensors connected in the car that communicate data to remote servers using wireless sensor networks. The results of the study are compared to earlier data by comparing the received data.