Project Abstract

Abstract
This research project focuses on the design and implementation of a smart device capable of accurately counting the number of people inside a conference hall. The device employs a combination of sensors, image processing algorithms, and machine learning techniques to achieve its objective. The system utilizes a network of sensors strategically placed throughout the conference hall to detect the presence of individuals. These sensors work in conjunction with camera modules that capture images for further processing. The image processing algorithms are responsible for analyzing the images captured by the cameras to identify and track individuals within the conference hall. By leveraging techniques such as object detection and tracking, the system is able to distinguish between people and other objects, as well as track their movements in real-time. This information is then fed into a machine learning model that is trained to accurately count the number of people present based on the sensor data and image analysis. The smart device is designed to provide real-time updates on the number of people inside the conference hall, allowing event organizers and security personnel to monitor occupancy levels and ensure compliance with safety regulations. Additionally, the system can generate reports and analytics based on historical data, enabling users to make informed decisions regarding crowd management and event planning. The implementation of the device involves integrating hardware components, developing software algorithms, and deploying a user-friendly interface for interaction. The sensors are connected to a central processing unit that runs the image processing algorithms and machine learning model. The system is designed to be scalable, allowing for easy expansion and customization based on the size and layout of the conference hall. Overall, the smart device offers a reliable and efficient solution for counting the number of people inside a conference hall. By combining sensor technology, image processing, and machine learning, the system is able to provide accurate and real-time occupancy information, improving safety and security measures during events. The research project demonstrates the feasibility and effectiveness of using smart devices for crowd monitoring applications, with potential for broader applications in various industries.

Project Overview

1.0   INTRODUCTION

The industrial batch counter is an electronic and electrical device that handles the counting and controls the flow of individuals using an automated slide door that allows access only when the administrator permits. The technique involved in the design is a simple sensor unit that opens and closes the door when someone obstructs the light path. These parameters can be used to determine when someone has moved in or out of the conference hall (for instance). The light sensing type involves monitoring the unit with photon or optical devices; this consists of the encoder (transmission path or the source of energy) and the decoder (receiver unit that converts the light intensity to electrical signal). An LED emitter, combined with a photo detector (Light Dependent Resistor, photo transistor or infrared sensing diode) in proximity, form a very useful object called opto-coupler or opto-isolator. When the opto coupler is obstructed, the door opens and the display shows an increase or decrease of individuals in the room (depending on the path followed). This project report creates a greater picture of the industrial batch counter.

1.1 AIM OF THE PROJECT

The aim of this project is to demonstrate a smart device that counts the number of people inside a conference hall; and prevents people from entering once the room has reached its capacity.

1.2     JUSTIFICATION OF THE PROJECT

The need for counting the number of persons inside the conference hall is for statistical record, which will help the conference hall management take a proper account of people; and as well, control the conference hall capacity from being over populated.

1.3     THE SCOPE OF THE PROJECT

This project covers the features of the capacity monitor, the hardware description, the use of transistor-transistor logic and microcontroller, how the system works and its applications.

1.4   THE PROJECT   REPORT ORGANIZATION

This project report is organized into five chapters. The first chapter covers the introduction, aim scope and justification of the project. The second chapter talks about the technology behind the project, the description of the microcontroller, as well as the working principle of the project. Chapter three covers the methodology of the project. Chapter four discusses the designing and construction of the project, as well as other components used in designing this project. Chapter four also talks about the testing of the individual components and packaging of the project. And lastly, chapter five summarizes and concludes the project.