Object Detection System

Abstract

Accurate Object Detection was always a big deal and an important part of the Information Technology era. Precise object identification has always been crucial and significant in the context of information technology. With the introduction of Deep Learning and Machine Learning technologies, Object Detection became much more accurate and efficient. These innovations made a significant contribution to the development of computer vision systems. The objective this study is to attain high accuracy by merging advanced object detecting methods. Tensor flow, a deep learning tool, and OpenCV, a programming function library primarily focused on real-time computer vision, are being used in this research. A few other libraries were also employed to aid with object detection, ultimately improving the system's accuracy and dependability. We used a variety of common, readily available market goods to train the network. The goal of this project is to use quick and precise detection to shorten the billing time in super markets.