Hardware$/$Software Mapping:

Hardware Components:

Computer System: Monster Notebook

The central hardware where the software system executes. It hosts the operating system$($Windows will be used$),$ Python code, and interfaces with other hardware components.

Webcam:

Physical camera hardware responsible for capturing images for further processing. It serves as the primary input source for the image processing system.

Explanation:

Computer System:

This is the primary hardware where the entire software system is executed. It runs the operating system, hosts the Python code, and interfaces with other hardware components.

Webcam:

The physical camera hardware captures images for processing. It serves as the input source for the image processing system.

Step $2$

Software Components:

Operating System:

The computer system operates using an operating system $($e$.$g$.,$ Windows, Linux, macOS$)$ that manages resources and provides a platform for software execution.

Python Code:

The core software component, written in Python, encompasses various classes and functionalities. This code implements the YOLO algorithm, manages webcam interactions, facilitates user authentication, and orchestrates the overall system workflow.

Integrated Development Environment $($IDE$)$:

PyCharm IDE serves as the development environment for coding, testing, and debugging the Python software. It provides essential tools and features to enhance the development process.

YOLO Algorithm:

The YOLO algorithm is seamlessly integrated into the Python code. It is a key component for object detection, predicting object classes and defining bounding boxes that pinpoint the objects within images. Specifically, in this project, it detects whether a person is wearing a safety vest.

Database $($MySQL$)$:

The MySQL database stores user login credentials. The User Login class interacts with it for authentication, ensuring secure access to the system.

Webcam Driver:

Software drivers facilitate communication between the computer system and the webcam. They enable the capturing of images from the webcam for subsequent processing.

Roboflow:

Roboflow acts as an external service or tool used for data labeling and augmentation. It provides an extensive dataset of more than $500$ training images, contributing to the accuracy of the image processing algorithm.

Step $3$

Software Modules $($Classes$)$:

User Login Class:

This class manages the verification of usernames and passwords by interacting with the MySQL database, ensuring secure user authentication.

LoginPage Class:

Responsible for handling user interactions during the login process. It prompts users to enter their credentials and ensures a secure login$.$

Main Class:

Orchestrates the general workflow of the system, coordinating communication between different parts to ensure seamless functionality.

ImageProcessing Class:

Applies the YOLO object identification model to process images captured by the webcam. It determines whether a person is wearing a safety vest.

YOLO Model Class:

Represents the YOLO object detection model, playing a central role in detecting safety vests in images.

Alarm Class:

Manages alarms and notifications, triggering a warning message, such as "Vest is not found," if the YOLO algorithm detects that a person is not wearing a safety vest.

Answer

Interactions:

User Interaction:

Users interact with the system through the login page, with the LoginPage class handling user inputs for login credentials to ensure secure access.

Webcam Interaction:

The webcam captures images, and the ImageProcessing class, utilizing the YOLO algorithm, processes these images to detect the presence or absence of safety vests.

Database Interaction:

The User Login class interacts with the MySQL database, verifying user credentials during the login process to ensure secure access to the system. Can you draw the UML Deployment Diagram. Design Elements should be drawn!