Two-wheelers are currently the most popular form of transportation. Helmet wearing is extremely recommended for both bike riders and the pillions. Object tracking in video surveillance is of great interest for many researchers, which is an important application and emerging research area in machine learning and image processing. Detecting object is a process to find the presence of objects with a bounding box and categories or forms of the placed objects in a picture. This paper provides a review on tracking techniques, their categorization into different types and focuses on important and useful tracking techniques. We review general strategies under literature survey on different techniques and finally state the analysis of possible research directions. This study employs an image processing algorithm to identify motorbike riders who are not wearing helmets. And also implement Optical Character Recognition algorithm for classify the number plate in image and extract the user details. Then calculate the fine amount. Finally making SMS services to send alert the users too preventing motorcycle accident. We assess the framework as far as accuracy and speed. KEYWORDS: Number plate Recognition, Object detection, Object Recognition, Optical Character recognition, Traffic Violations