A Novel Design and Development model for people counting in a Closed Environment with Machine Learning Approach
Praveen Kumar Gupta, Umashankar Ghugar, Chaitanya Vardhan, Rakesh Nayak, Chaur Singh Rajpoot · 2023
Image processing can be used to solve some daily applications. Computer vision and Artificial Intelligence in the computer system provide the capability to work like the human mind. In the last decade, computer programming is moving towards processing images and finding useful results and analysis. This experiment is an effort to count the number of people in a closed environment. there are many situations when it is required to count the persons in the room. An application can do this work with accuracy and in less time. this can be enhanced to another area where it can count some other objects also. In this experiment efforts have ben done for the identification of people and count them correctly. It has not been tested on large numbers yet. You only look once (YOLO) real time object detection technique is used with some more microenvironments. this can be used for real-life situations and for the safety of any objects. This paper is based on YOLO. The experiments have many benefits and applications in all kinds of industries. in the future, it may be extended to videos.