Smart Eye of Traffic Management & Control System

In the era of fast-growing technology, automation in public transportation is gaining popularity worldwide. License plate recognition is a technology that is being utilized efficiently these days. On comparing with the past scenario, we realize there weren’t many roles of technology in transport surveillance. In its initial phase, this technology was majorly used by police and the army for recognition and filtering the stolen or blacklisted vehicles out of traffic. Day by day this technology came under implementation and got advanced with rapid developments. In the present scenario, this technology in public transportation plays a vital role by recognizing whether the vehicle is registered or licensed in e-challans by monitoring the vehicle which came under over speed and traffic rules violations. This technology can be implemented either on the still images of the vehicle or real-time detection. The proposed model focuses on the real-time execution of the license plate as well as speed detection. Methodology of the model invokes the usage of the concept of transfer learning and the model being used is MobileNetv2-SSD for recognition of license plate, further followed by implementation of package namely easyOCR, to recognize the alpha-numeric contents of license plate. For speed detection, the ensemble learning technique is being utilized, which invokes the usage of computer visualization, and its working is very much similar to machine learning.