Dr. Khaled Hussein
Eng. Haytham Metawie
An E-nose is a collection of gas or chemical sensors that mimic the human nose. When compared to standard detection approaches, the e-nose has demonstrated tremendous potential and value in enhancing assessments of food quality parameters. Because of the COVID-19 outbreak, more light has been thrown on this device recently. The purpose of this paper is to suggest a new system that detects gas leaks, smoke or early fires, spoiled and rotten foods, dangerous chemicals and acts as an Air-Quality Control System. Using an array of gas sensors, as well as a motion sensor each of which distinguishes a certain fragrance or has distinct functionality. The analog pins of these sensors are linked to the Arduino-Uno pins, which convey the signals to an ADC module. Furthermore, in order to handle this data, it must go through two phases: a pre-processing phase and feature selection, followed by a processing phase to conclude the data processing, categorize odors and identify movement. Finally, the system is integrated with an Android application to send alerts whenever an abnormal gas behaviour is detected.
This Software Design Document (SDD) is intended to provide a full explanation of the project system architecture and design. The document will describe the Electronic Nose system’s characteristics and give insight into the structure and design of each component. Next, we’ll discover how to use this program to gain a better knowledge of the entire system. In addition, this guide will provide the user with a thorough understanding of the interface. as well as, the project’s functions The system’s primary goal is to identify to help detect harmful odors, in addition to motion near the hardware device. This product targets anosmic patients, people who have young sons and daughters who can be affected by gas leaks or hot ovens, and the agricultural field.
This document’s scope includes all anosmic sufferers. Anosmic patients may have lost their sense of smell as a result of co-vid or for other reasons. Anosmic patients are at risk due to the toxic scents they are unable to detect. Homes that consist of young children could pursuit this device to ensure safety for their children as well as for themselves. The technology functions as an electronic nose, detecting many dangers at the same time. The device might be utilized at home. The E-nose has a variety of applications, including detecting bad food. In addition, the system has a reporting mechanism that sends a warning whenever the system detects a dangerous odor and motion of young children near the hot oven. This SDD is intended to analyze all of the needs of the program that will be produced later.
The software’s main purpose is to automatically detecting young childrens’ motion near the oven and life-threatening scents , classifying those scents, and informing the user about them. The goal of this project is to create a safe and robust electronic nose system that may be utilized for a variety of purposes. The system works by taking the odor as an input and using data pre-processing techniques including normalization, scaling, and feature selection. The input odor is then classified using deep learning or machine learning techniques. The system will then display the result to the user and notify him if a dangerous odor is discovered. The figure below Figure 1 shows a block diagram of how our system operates.
1.4 Intended audience
This paper is meant for any type of organization or firm that relies on odor detecting systems in their job, whether to identify rotting food, gas leaks, compounds to which one may be allergic, or young children near hot ovens. Those organizations will gain from our method since they’ll know the device can act as an assistant in their respective environment.