People Tracking and Counting using Jetson TX2 Kit with Tracking Algorithm

The population growth has risen across the globe. The number of people gathering in public places due to population growth has increased. Based on the timings and number of customer visit, people tracking and counting system give the tally of the number of people in specific place. Here Nvidia Jetson TX2 is utilized with tracking algorithm. Hence this system provides solution to the problem. Understanding the flow of population and generating the heat maps is an important key role. Deep learning models will help to give the better performance with respect to object detection. But especially in crowded areas where the people movement is often more there will be a problem is detection of faces because of occlusion. Here in this paper we have used the deep learning techniques to resolve these issues. We have applied the feature extraction techniques to facilitate the correctness in the detection process. The NVDIA Jetson TX2 board can be used for the real time operation of the people tracking using the embedded board. This method will give the accuracy better than the traditional way of face detection using the facial recognition algorithm.