Question: 1 . Introduction The project s purpose is to detect the vest that the workers should wear for occupational health and safety. We use the

1. Introduction
The projects purpose is to detect the vest that the workers should wear for occupational health and
safety. We use the YOLO (You Only Look Once) algorithm to determine whether he/she is wearing a
vest in the best way. Also, we used more than 500 training data which is data labored by using
Roboflow, we improved the accuracy of the image processing algorithm. The primary objective of
this project is to improve workplace safety.
2. Current system (if any)
3. Proposed system
The proposed system consists of a YOLO algorithm that detects the vest the person wears or not. It
uses more than 500 trained data by using data laboring in Roboflow. Also, trained data is integrated
into the Python code which uses PyCharm IDE. Also, it uses an Interface in which the user first
interacts with the detection system. It includes a beginning screen and then the detection starts with
connecting to the webcam. If the people in the image dont wear a vest, the system makes a warning
message which is Vest is not found.
3.1 Overview
In our project, we developed an image processing system, which can detect if a person is wearing
his/her vest or not. Our system uses YOLO (You Only Look Once) algorithm which aims to predict a
class of objects and bound the boxes that define the objects real location. The system takes a webcam
or digital image as input, then processes the input by using the YOLO algorithm to detect objects and
it identifies if the persons wearing a vest or not. If the system detects that a person doesnt wear a
vest, the system prints a Vest is not found warning. The system is being developed using Python
code language and PyCharm IDE. The system makes improvements and tests for a given training data
set. By using Roboflow, we can make the data laboring more than 500 images. After data laboring, we
prepare the training data set, and we train the algorithm to make the best object detection and fewer
mistakes. Our classes:
User Login :(Username and password verification with database. We will use MySQL.) LoginPage: This class is where users log into the system by entering their password and
username.
Main: It is in charge of organizing the general workflow and communications between the
various parts of our system.
ImageProcessing: It is in charge of applying the YOLO object identification model to picture
processing.
YOLOModel: To identify safety vests in images, this class represents the YOLO object
detection model.
Alarm: The alarm class is in charge of setting off alarms and informing employees that they
should be wearing safety vests. Can you draw the hardware/software mapping for this project?

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