Vehicle tracking and detection techniques using IoT

Abstract

This manuscript focuses on the basic idea of vehicle detection techniques used for its detection. Here discussed the common idea for vehicle detection techniques that are used for different scenario. Traditional and modern methods that are used for vehicle detection method are explained. Statistic method is one of the traditional methods that are used for tracking of vehicles. Blob detection and its analysis is one of the processes in detecting vehicles. You only look once-v3 (YOLO-v3) is a detection method base on the idea of single shot detector (SSD) which is fully optimized and enhanced the exposure capability of small scale target objects. The results show that all the techniques can be used for detection but modern technique based on deep learning is more optimized and accurate. It is very necessary that great attention be paid to image and video recognition be paid to the efficiency of the device. It is difficult to locate and distinguish when flows are high. Using the principle of spatial consolidation, it then updates the network structure to enable real-time detection and statistical flow recalculation.