Vehicle identification using eigenvehicles

In the current society, a lot of to the error rates caused by the reckless driving of some drivers that led to a high traffic accidents. As a result, there are widespread fears that some drivers did not respect the driving rules. As a result, there was an urgent need to implement an application to track off violated vehicles that pose a threat to lives. This work presents a computerized scheme for vehicle identification using the eigenvehicles technique. The proposed strategy is consider as feature based system utilizing Principle Component Analysis (PCA). PCA will be used to reduce the feature vector dimensions for the vehicles. In addition, PCA will enable the proposed algorithm for recognize the vehicle in fast and effective way. Here, vehicles will be classified into (cars, buses, trucks) to assist radars that are located on the roads in detecting the type of a vehicle, and thus, determines whether the vehicle has violated the speed prescribed for them.