Automated Speed Violation and Detection

One of the most common routes to road accidents is speeding and this greatly causes casualties and damage to property. ASVD systems play an important role in enhancing traffic safety and preventing speeding as a known cause of multiple crashes. This paper describes an Adaptive Intelligent Speed Violation Detection System, which is an automated system consisting image processing, radar and machine learning. The proposed system uses speed sensors or radar for measuring velocity of the vehicles and cameras for capturing details of vehicle’s license number. Using image recognition technology along with an efficient database, offending vehicles are recognized and the violation reports are predicted . automatically. Further, real-time data processing is included in the system in order to avoid delay in detecting and enforcing to a level that has less dependence on manual work. Integrability with the legacy smart city structures is enabled by the variables of the system’s scalability and flexibility. The results showcased in this paper provide a solid basis for appreciating the effectiveness of the proposed system for speed control and violation identification as a means for improving the road safety condition and implementing the traffic law compliance effectively.