Smart Arms Detection System Using YOLO Algorithm and OpenCV Libraries

Year 2021, Volume: 16 Issue: 1, 129 - 136, 15.03.2021

Yaman Akbulut , Rayan Khalaf

Abstract

The continuous development that the world is on it must be pursued into human services, among these services provided by the modern world are the ability to detect faces, controlling and monitoring crowded places, the roads, auto-drive cars, and other smart systems that we can see it through our daily life, these systems are known by object detection systems. This branch is getting development continuously and it gets big attention and support from international institutes, military institutions, and security companies. Object detection is a big branch and is used in many industries like medical, food production, plastic industries, controlling and monitoring roads, and more. In this paper we will explain information about object detection, its types, the YOLO algorithm, and a small idea that we made for controlling and monitoring hand arms showed by monitoring cameras or images that contains hand arms, we made it using the YOLO algorithm with the help of OpenCV and python libraries.

Keywords

YOLO, object detection, arms detection, monitoring, digital

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