Category: Advanced ECE & EEE Projects

Here Students Can download the Latest Advanced ECE & EEE Academic projects for both the Electronics & Electrical Students. Here IoT, Robotic, Aurdino, Raspberry Pi, Solar, etc Ideas & Hardware Kits are available for Free.

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Automatic Video Surveillance System AI & IOT Project

Surveillance is an integral part of security. The main objective of the Video Surveillance system IoT project is to build an effective system that can be used across different domains and technologies. The system is used to Detect Human intervention and breach in personal or commercial property of the user in real-time using AI and IoT.

It helps users to secure their property with the help of advanced artificial intelligence. The resulting system is fast and accurate, thus helping users with more secure surveillance systems.

For the most part, the job entails looking out for something undesirable to happen. The application is to have a system that provides real-time monitoring and alert security when a human is detected in a user’s property in their absence.

OBJECTIVES:

The main objective is to build an effective Video Surveillance System that can be used across different domains and technologies. The system is used to detect people trying to breach security in the personal or commercial property of the user in real time and send a message along with a short video clip to the user. 

PURPOSE OF EXISTING SYSTEM:

Currently, the existing Rocker Bogie Suspension Systems Project or surveillance robot for defense Surveillance systems can keep video recordings of homes, offices, banks, and so on. But that is useful only after an incident or robbery happens. No Real-time Updates are provided when there is a breach in real-time. 

Just imagine, You’re at your home and someone breaks security and stole money or goods from your office or property. Or consider you’re out of town for some days and there is a robbery at your home. So after you come back home or someone identifies it after some time and they will update you about the breach at your place.

You can take any action after a breach has been done, not at the time it is being done. That issue will be resolved in our system with real-time monitoring and updates.

SCOPE OF SYSTEM:

The Video Surveillance System can be implemented in any residential, Industrial, or commercial property. The system recommends detecting any human intervention on the user’s property and sends a notification along with a threshold of a 10-second video clip immediately as soon as it detects humans.

PROBLEM DEFINITION:

This Video Surveillance System project aims to develop an advanced Surveillance system that can keep on monitoring homes, offices, banks, and so on. With the help of this, you can find out if anyone breaches your security in your absence. We have to simply integrate our system into users existing surveillance systems. 

Module specification: 

  1. Raspberry pi
  2. Camera
  3. Server
  4. SNS
  5. S3  

Need Of Modules:

  • Raspberry pi as a Client to send frames to the server.
  • Camera to capture live video streams.
  • Server for processing frames and detecting humans.
  • SNS sends a multimedia message to a user when someone tries to breach security.
  • S3 to store a short video clip of the breach and send it to the user.

Non-Functional requirement.

EFFICIENCY REQUIREMENT :

When AI is taking care of your property then customers can relax and not have to worry about their security.

RELIABILITY REQUIREMENT :

 The system should provide a reliable environment for both the client and the server.

USABILITY REQUIREMENT :

The system is designed for a secure environment and ease of use.

IMPLEMENTATION REQUIREMENT :

Implementation of the system with pi, night vision camera, python, machine learning, and AI.

DELIVERY REQUIREMENT

The whole system is expected to be delivered in four months of time with a weekly evaluation by the project guide.

Limitations of the System:-

False Positives

Due to different light variant conditions and camera resolutions, sometimes the system detects humans as false when there is none but that can be neglected if there is a human and the system doesn’t detect it then there should be a problem.

Limited Processing Power

As we are using a microcontroller to send feeds to the server, it cannot handle multiple feeds at once and will be slower as the device increases.

Download Automatic Video Surveillance Management System Project Python Code, Documentation & report, Paper Presentation PPT

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IOT Solution for Vehicle Maintenance and Report Generation System

INTRODUCTION

  • Many automotive manufacturers are now moving towards an IoT platform for manufacturing and for service purposes.
  • The main advantages of using IoT in cars are Optimized maintenance and logistics.
  • Our idea is to monitor vehicle status (fuel, efficiency/Km, battery, oil levels, etc..,.) to the customer as well as the manufacturer.

CONCEPT

  • The main aim of every car manufacturer is to increase the life of the car and it’s crucial to maintain the car in a good condition to achieve it.
  • Many problems in vehicles arise due to improper maintenance. Many lose track of their service status and it’s a tiring process to keep in touch with every customer in a large automotive industry.
  • If we maintain a system, that automatically updates the vehicle’s conditions periodically to a specified server, and the system will generate a report, that will be forwarded to the customer and the service team, a lot of manual work will be removed.
  • We as a team provide an IoT solution for vehicle maintenance and report generation system.

FLOW DIAGRAM-FUNCTIONAL DECOMPOSITION

  • Our Vehicle Maintenance and Report Generation system collects data from the sensors available in the car itself and reports it to a transceiver module(ESP8266) which is connected to a database in the cloud.
  • when new data is updated/inserted into the table an event is triggered. This event updates the information in the dashboard, which will be displayed to the customer and manufacturer.
  • Then a weekly/monthly/yearly report generation event is triggered, which will mail the report to the specified recipient.

FUNCTIONAL DECOMPOSITION

Data collection:

The data is collected from the sensor stream of the car. This data is redirected to the ESP8266 module. The ESP8266 is connected to the server, that is allotted to the car. The ESP8266, when all data is collected, converts it into a JSON file. Then the server sends a post request to the server.

Event trigger:

Many database servers provide pl/SQL-based triggers. Here an Update and Insert trigger is created for the table. Oracle server provides a wide range of PL/SQL functions. The IP of ESP8266 is connected to the oracle server, which on periodic updates in the table triggers an event.

Dashboard:

The dashboard is created using HTML and CSS and deployed in the cloud using the NODE JS framework.

FUNCTIONAL SPECIFICATION

Hardware:

ESP8266 CP2101 module(CAR)
ESP8266 CP2101 module(HOME)

Programming Language:

SQL
Javascript (Node JS)
C++(Arduino .ino)
HTML CSS

Dashboard

The Vehicle Maintenance and Report Generation System dashboard are developed using Adafruit.io. This website provides dashboard development for MQTT-based devices

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Cloud and IoT Based Health Monitoring System Project

Objective

Our system is useful for monitoring the health system of every person by easily attaching the device and recording it.

We can analyze patients’ conditions through their past data, IoT sensors are being utilized to consistently record and monitor health conditions and transmit alerts in the event that any uncommon signs are found.

If there should be an occurrence of a minor issue, the IoT application additionally has the arrangement to recommend a medicine to the patients.

Introduction

This project is the solution to be able to make use of IoT sensors and actuators to be able to detect issues with subscribed patients remotely to be to monitor health, emergencies, statistics, etc, This makes use of Cloud, Machine learning, IoT platforms, and devices.

The results can be recorded using Arduino.

The doctors can see those results on an application. The system will also generate an alert notification which will be sent to the doctor.

Literature Survey

  • Smart Health Monitoring Systems: An Overview of Design and Modeling
  • Cloud-Based Privacy-Preserving Remote Monitoring and Surveillance
  • A Review of Machine Learning and IoT

Architecture Design

The Flow diagram for Cloud and IoT based Emergency response system follows Sensing, Processing Unit, Cloud Server and Analysis.

Hardware  and Software Requirements:

Arduino: 

IoT Sensors: The main purpose of sensors is to collect data from the patient’s body and from the surrounding environment. 

Cloud: These cloud computing platforms are used to store the data and perform some analysis on the data which is stored on the cloud.

Product Perspective

User Classes and Characteristics

The main objective is to design this System with two-way communication i.e. not only the patient’s data will be sent to the doctor through SMS and email in emergencies, but also the doctor can send required suggestions to the patient or guardians through SMS or Call or Emails.

The user base for this application involves patients and old age people.

Assumptions and Dependencies

Appreciable accuracy in IoT sensors to fetch accurate data. 

Reliable internet connections. 

User Interfaces

Front-end:

  • Web application
  • IoT sensors

Back-End:

  • Open Source IoT platform

Functional requirements

  • Sensors frequently detect data from patients.
  • Collected information is updated in the cloud.

Performance Requirement

The data analysis and communication (response) between the user device and subscribed user must be quick.

Conclusion

The primary purpose of a  health monitoring system is to allow people to lead independent and active lives in their familiar home environment while ensuring continuous, non-invasive, non-intrusive, and seamless surveillance of their health and physical well-being. Continuous monitoring of health status can provide comprehensive information about individuals’ health status over a period of time.

Download the complete project Code & paper Presentation of Cloud and IoT Based Health Monitoring System Project.

 

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Implementation of E-voting Machine Project using Python and Arduino

INTRODUCTION

Our E-voting Machine project is very useful, This Project was implemented using Python and Arduino. The user is no longer required to check his register in search of records, after the voting procedure gets over, the admin will be able to calculate the total number of votes in just one click since the entire work is done using computers. The user just needs to enter his/her unique voter ID.

In today’s world, no one likes to manually analyze the result after the voting procedure gets over because the process is time-consuming and of which results get usually delayed. Everyone wants his/her work to be done by computer automatically and displaying the result for further manipulations. So this E-voting Machine project is about providing convenience regarding voting.

OBJECTIVE

  • Our objective for the E-voting Machine project is to make a user-friendly Electronic Voting Machine that makes the current voting process faster, easier, and error-free.
  • We have used Arduino in our project for the implementation of push buttons and Python as a programming language.

PROBLEM STATEMENT 

The problem statement was to design a module:

  • Which is a user-friendly E-voting Machine
  • Which will restrict the user from accessing other users’ data.
  • Which will ease the calculations and storage of data.
  • Which will help the jury to declare the result without any biasing.

FUNCTIONS TO BE PROVIDED:

The E-voting Machine system will be user-friendly and completely secured so that the users shall have no problem using all options.

  • The system will be efficient and fast in response.
  • The system will be customized according to needs.

FOR e-VOTING SYSTEM

  • (Check
  • Store
  • )

SYSTEM REQUIREMENTS

  • Programming Language Used: Python, C
  • Hardware Used: Arduino UNO
  • Components Used: Push buttons, Connecting Wires, Resistances(100k ohm), Breadboard
  • Software Used: Anaconda 2.7.x, Python 2.7.x, Arduino IDE
  • Modules Used: Serial, SQLite, Tkinter, tkMessageBox

WORKING

  • The user has to enter his/her ID in the system.
  • After verifying the user ID, the system will show a message that whether a user is eligible to vote or not after checking his/her details stored in the system.
  • A message will be displayed accordingly. The user will then have to press the button against which the name of the candidate is written and whom he/she wants to vote.
  • The votes hence are stored in the database and the results will be announced accordingly.

FUTURE SCOPE OF THE PROJECT

My project “e-VOTING SYSTEM” will be a great help in conducting voting at various organizations. So the modifications that can be done in our project is to add one major change which can be done in this project is to add the data of the voters. This will result in the total identification of the voter.

CONCLUSION

From this E-voting Machine project, we can conclude that this program is very useful in conducting the voting procedures smoothly. It provides easy methods to analyze the voting result. It helps in conducting faster, more secure, and more efficient voting. The program can be used per the norms of the voting requirements.

Download the complete project code, report, and PPT on E-voting Machine using Python and Arduino.

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Two Wheeled Self Balancing Robot Minor Project Synopsis

Introduction

The basic working principle behind a self-balancing robot is an inverted pendulum concept model in control theory, according to which the robot drives the wheels in the direction in which it tilts. Examples of the inverted pendulum in certain real applications include rockets like MAXUS, Segway the personnel transporter, and a self-balancing vehicle.

It has great advantages like small size, flexibility, and low cost because of these advantages, it can be used in various applications in the field of control engineering. The inherent complexity associated with the control of this platform finds its application in the design and development of control systems for automobiles, spacecraft, and transportation facilities including military transport.

The developed hardware is used to develop an object-carrying vehicle that can be used to reduce human efforts in working places, offices, and household applications.

This is a cost-effective solution using the PID algorithm for these two-wheeled vehicles.

Rationale

Because of the previously stated advantages that come with a two-wheeled self-balancing design, a number of consumer products have recently gone mainstream that utilize a similar idea for purpose of convenient human transportation, i.e. – Hover-boards, Segway, and self-balancing two-wheelers. Our goal with this project was to demonstrate the balancing mechanism used in these products in a compact, cost-effective prototype of a self-balancing robot.

Objectives

1. To balance the whole body on two wheels automatically by designing the best possible structure for the body and obtaining the filtered values from the gyro and accelerometer sensor i.e. – mpu6050.
2. To use inbuilt Wi-Fi or Bluetooth capabilities of ESP32 microcontroller to communicate with the robot in order to de- liver the commands to follow.
3. To fine-tune custom PID values for the robot to ensure its smooth maneuverability.
4. To generate the ability to balance and maneuver with objects placed on its head

Feasibility Study

1) Feasibility of the project

The project is intended to explain the design along with the construction and control mechanism of a two-wheel self-balancing robot. To deal with the problem of sudden horizontal movements and gyro drifts in sensors, a complementary filter is implemented[1]. PID (proportional integral derivative), is the feedback mechanism used for this project.

2) Need of the project –

1. Its ability to turn on the spot and sustainable architecture increases its applications in industries.
2. It is essential for the robot to not only balance but also maintain its position, withstanding external forces or unexpected disturbances if any

3. Active research on two-wheeled robots has been widely increased since the early versions of the studies on self-balancing robots by JOE and n-BOT.

3) Significance of the project –

These robots can be used for

1. Smart gardening purposes.
2. Autonomous trolleys in malls, hospitals, and airports.
3. An intelligent robot for various industrial-military purposes.

4. Currently popularized as “Segways,” these machines are mostly used for travel and tourism purposes and by private security services. It has been put to use by a range of private and military organizations since its invention.

Methodology/ Planning of work

The main objectives of a system for Online voting system are:

1. The objective of the Online voting system is to help the organization in automating the whole manual processing of the existing system.
2. Test the working and compatibility of all electronic components (mpu6050 and motors and its driver) with ESP32 separately and ensure the proper working of each component. a rudimentary prototype using all components with temporary wiring on the breadboard in order to test the integrated working of the components with each other (without tuning PID values).
3. Fabricate the basic frame of the robot using acrylic sheets, spacers, screws, and angle brackets.
4. Mount all electronic components onto the frame.
5. Make wired connections according to the planned circuit.
6. Upload code to ESP32 from Arduino IDE.
7. Update PID values.
8. Test the performance, balance, and maneuverability of the machine, if not satisfied with its performance, go to the 7th step in order to fine-tune PID values else the required development of the robot is completed.

Facilities required for proposed work

Software Requirements:-

1. Arduino IDE

Hardware Requirements:-

1. Arduino IDE
2. ESP32 microcontroller – 1
3. MPU6050 sensor – 1
4. Bo geared motors – 2
5. L298N Motor driver -1
6. 3.7v 18650 Li-ion battery – 2
7. Assorted Jumper Wires
8. 3mm Acrylic Sheet
9. 65mm Nylon Tyres – 2
10. Angle Brackets – 2, Spacers and Screws

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Intelligent Access Control for Safety Critical Areas Project using IoT Analytics and IBM Cloud Services

Purpose of the Project

  • Access control is done by using a smart Analytic device. It verifies the entry of the person.
  • The Smart device verifies the persons entering into the industry.
  • The details of the person are being taken and uploaded into the cloud.
  • We can Restrict the entry of unknown persons and we can restrict the persons who are not following the safety measures by using this IoT device.

Existing Problem

The Intelligent Access Control problem with the present existing device is it cannot able to identifies the safety measures of the persons it just identifies the entry of the persons.

Proposed Solution

We can make use of IoT Analytics in Access Control, such that during working hours in the industry we can identify the persons who are following the safety measures and who are not following.

 Also, with the usage of IoT, automatically, the details of the person are taken and we can restrict them.

Hardware/Software Designing

The Intelligent Access Control Software design involves general We used IBM Cloud Services to create the Internet of Things platform. In the IoT platform, we create a virtual Raspberry Pi device. After creating the design we get the device credentials. We use these credentials in the Python program then we integrated the Node-Red platform with IoT. With the help of MIT APP Inverter, we designed the app & integrated it with the Node-Red to observe the values.

Experiment Investigation

To complete our Intelligent Access Control project work we collected the required data from Google & research papers. After getting complete knowledge we work according to our roles in the project. At first, we create the IBM Cloud account then we created the Internet of Things Platform after we wrote a python code in IDLE to connect IBM IoT Platform. Next, we created the Node-Red Services. This service helps us to show virtual flow graphs. We connect Node-Red to IBM IoT to get the current, and voltage, and calculate bills. From Node-Red we send values to the MIT APP. From the app, we can view the details of the person.

FLOWCHART

Flow Chart

MIT APP:

MIT App

ADVANTAGES & DISADVANTAGES

Advantages:

1) Increase ease of access for employers

2) Keep track of who comes and goes

3) Protect against unwanted visitors

4) create a safe work Environment

5) Reduce Theft and Accidents

6) Easy Monitoring

Disadvantages:

1) Access control systems can be hacked.

 APPLICATIONS

1) Large Industries

2) In Airports

3) Government Sectors.

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Design and Implement a Healthcare Monitoring and Management System IoT Project

Nowadays Internet of Things is bringing a revolution in the infrastructure of technologies. The IoT-based health monitoring system is essentially a patient monitoring system in which he can be supervised 24*7. Remote Patient Monitoring arrangement enables observation of patients outside of customary clinical settings (e.g. at home), which expands access to human services thus bringing down costs. Healthcare is given extreme importance by each country with the advent of the novel coronavirus.

Recently there has been a spike in the use of smartphones and along with that, wearable sensor remote health monitoring has evolved quickly. IoT not only helps in preventing the spread of disease but also in getting a proper diagnosis, even if the doctor is present at a remote distance By facilitating effortless interaction among various modules, IoT has enabled us to implement various complex systems such as smart home appliances, smart traffic control systems, etc.

PROPOSED SYSTEM:

The main objective of this Healthcare Monitoring and Management System is to develop, design, and implement a smart patient healthcare monitoring system. The sensors used here are embedded in the body of the patient to sense the parameters like the heartbeat and temperature. These sensors are connected to a master unit, which calculates all of their values. These values are then transmitted by leveraging IoT cloud technology, to the base. From the base station, these can be easily accessed by the doctor present at some other location. Thus based on the temperature and heartbeat values, the doctor can decide the state of the patient and appropriate measures can be taken.

OBJECTIVE:

Monitor patient parameters remotely to increase the efficacy of healthcare management systems

IDEATION:

We need to monitor the patient parameters from remote distances using various sensors. The data given out by the sensors are then sent over to the cloud for further access via a Wi-Fi module (inbuilt or externally connected). This is being done to reduce the critical time of testing patient parameters before any major operation.

Here we are measuring the temperature and pulse parameters of a patient remotely.

Components required:-

MLX 90614 Temperature
MAX 30102 Pulse Rate
Jumper wires.
Nodemcu ESP8266 board

The Gantt Chart is shown below:-

smart patient healthcare monitoring system

Summary:-

 Health care is given extreme importance nowadays by each country with the advent of the novel coronavirus. Thus in this regard, an IoT-controlled healthcare monitoring system is most probably the best solution for such an epidemic. Internet of Things (IoT) is the new revolution of the internet which is a growing research field, especially in health-related services.

“Healthcare Monitoring and Management System” is the project where we have mainly focused on two objectives first one was a smart health monitoring system, to collect the health history of patients with a unique ID and store it in a database so that doctors need not spend much of their time in search of the report and give analysis right from the dashboard. Any health care that is being done will be updated and reflected in the dashboard itself. And the other one is the Wearable-Sensor-Based Fall Detection System for aged people, to monitor their movements of them, recognize a fall from normal daily activities by using sensors, and automatically send a request or an alert for help to the caregivers so that they can pick up the patient.

However, there are a few shortcomings to this too. Basic knowledge of the operation is to be learned by the caregivers. Also, both the caregiver and the wearer should know how to protect the sensors from water damage or any physical damage. 

  • Planning and project management 

S.No.

Activity

Starting Week

Number of Weeks

1.

Literature Review

1st week of January

 2

2.

 Project Finalization

3rd week of January

 1

3.

Required software setup

4th week of January

 1

4.

Gathering of Hardware & Formation of codes

1st week of February

1

5.

Hardware assembly calibration

2nd week of February

 1

6.

Code Integration & Debugging

3rd week of February

 2

7.

Inclusion of IoT and Blynk

1st week of March

 1

8.

Finalization & modification of Website and mobile application

1st week of March

 1

9.

 Preparation of project report

2nd-3rd week of March

 2

10.

Preparation of Project presentation

4th week of March

1
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Real-Time Map-Based Pollution Monitoring and Data Management System

Title : Real-Time Map-Based Pollution Monitoring And Data Management System

Introduction: For years, pollution has been a major issue faced by mankind and it is increasing by the day. The recent pollution disasters that happened in major cities across the globe have taught us one thing and that is, that it is important to keep an eye on the pollution that is increasing day by day. Many government and global organizations have started to work on it and almost a decade has passed since these programs have been functioning. But, the major issue with these organizations is that they are focused on beating pollution on every front whether it is air pollution or water pollution.

These organizations are more focused on amending laws for pollution control and the monitoring process boils down to analyzing air quality and then making changes in the environmental laws. Also, the issue is that these bodies are controlled by the central or federal government. But, pollution is no longer an issue that can be tackled gradually and conventionally. It needs immediate attention and effective monitoring is required so that the authorities can take necessary measures to solve the pollution problems.

The pollution problem is more persistent in urban metropolitans and metros. But, municipal corporations have very little control over the situation because of a lack of data to act upon. Recent developments in the smart city sector are also encouraging cities to develop monitoring systems. The city of Ahmedabad, Gujarat has implemented digital signboards that show the real-time value of major air pollutants and overall air quality. This data is displayed to the people driving on the road so that they can take necessary precautions to avoid or minimize the health risks due to pollution. But, this kind of Pollution Monitoring project requires a huge amount of funds and is also not feasible everywhere.

So we are building a minimalistic model to tackle the issue of monitoring pollution. Our main goal is to provide real-time data visualization and also provide a database that will store all the data and provide readings of various pollutants. The data will be visualized through the means of a map hence it would be easy to pinpoint the exact location when any kind of action is needed. We will also build a device to capture data and then feed it into a web application that can be used to monitor and visualize the data.

The main aim of this Real-Time Map-Based Pollution Monitoring project is to provide a centralized repository of sensor data and also to create an effective and centralized monitoring system. The low cost and feasibility of the project make it easy to use for both smart cities as well as small towns. Furthermore, this kind of monitoring system will allow for the development of effective countermeasures and control strategies for keeping the pollution problem in check.

Process Flow:

Pollution Monitoring System Process Flow

Methodology

Methodology

This Real-Time Map-Based Pollution Monitoring project is aimed at local authorities like the municipal corporation rather than the central government so that immediate action can be taken by them to control the pollution problem.

This Pollution Monitoring project can be briefly divided into three main parts:-

  • Data Collection.
  • Data Monitoring.
  • Data Storage.

1. Data Collection:

Data collection is an important part of this Pollution Monitoring System project. Any kind of monitoring system is functional only because of the data that has been provided to it.

Data collection will be consisting of reading data from sensors. Now, from the research conducted, we have been able to deduce the major kind of data that we need. Looking at the urban pollutants we have observed that the most prominent pollutant is the Particulate Matter (PM) and Suspended Particulate Matter (SPM).

Hence we have decided to use a DSM501A Particulate Matter and Suspended Particulate Matter Sensor for detecting PM(2.5) or Particulate Matter, which is one of the major pollutants. Also, it leads to various lung and carcinogenic diseases and skin problems.

Particulate Matter concentrations have raised dramatically in the past decades to increase the number of automobiles on urban roads. Hence we have decided that monitoring PM/SPM (Particulate Matter and Suspended Particulate Matter) is going to be one of the main agendas of our monitoring system.

Another major pollutant that has been identified is Carbon Monoxide (CO). Now, CO is not just a single pollutant but, it is also responsible for creating another harmful pollutant i.e Ozone (O3). Ozone is important for blocking UVs from the sun but, at the ground level, the Ozone is a dangerous gas. Carbon Monoxide is specifically dangerous as it affects the hemoglobin if the concentrations exceed 35 ppm (parts-per-million).

From the research we have done, it has been clear that CO is present in spatial quantities but, that means that we need to effectively monitor it to keep its concentrations at safe levels. We will be using an MQ-7 sensor for measuring Carbon Monoxide.

Studies have pointed out that SO2 and NO2 are also major air pollutants and contribute to the degradation of overall air quality. Also, several hydro-carbon compounds are pollutants although not major, affecting the air quality a lot. Hence we have decided to use an MQ-135 sensor to monitor SO2 and NO2 levels as well as the overall air quality.

The sensors will be interfaced on a Raspberry Pi and their data will record using the GPIO library (Python). The data from these sensors will then be directed to the web server and the storage.

2. Data Monitoring:

Data Monitoring is the key component of the system. To monitor the data we have decided to use Google Maps so that the position of our Raspberry Pi Module can be pinpointed and then by using color-coding we can determine the levels of pollution in the vicinity of our Raspberry Pi Module.

All of this will be achieved by creating a web server in Python using the Flask framework and the main desktop app will be a web application written in HTML, CSS, Bootstrap, and JavaScript. The desktop app will have three options

  1. Map-Based Monitoring
  2. Individual Pollutant Monitoring
  3. Statistics

3. Data Storage:

Data Storage is necessary to reference past data and develop statistics from them. The data will be stored locally on the file system and can be downloaded in the form of excel sheets.

Timeline 

Serial Number

Tasks

Duration

1.

Synopsis and Presentation Submission

15 days

2.

Component Purchasing and Testing

15 Days

3.

Interfacing sensors and writing server script

15 days

4.

Writing Front-End Application

15 days

5.

Integrating Front-End and Back-End services

15 days

Components

  • Raspberry Pi model B
  • SD card and adapter
  • MQ-7 sensor
  • MQ-135
  • DSM501A

 

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Raspberry Pi Project on Intelligent Door Access Management System

Today the world has been far more advanced in technology than in the last 3 decades and with that, there are advances in the technologies that help to keep our homes safe. With the help of IoT now we can track our house even when we are on vacation.

The significance and the purpose of our Door Access Management System are to make the user’s home much safer by increasing security and giving the user full control of the system.

Introduction

Background of Project

When we are at work, we may have an important meeting and may not be in time to receive our guests and they may need to wait outside. The same may happen if we are on a vacation and to safeguard ourselves from Intruders.

The duty of an Engineer is to provide solutions for the problems faced every day with upcoming technologies and we have come up with a model which will help to solve them.

Statement of the problem

This project will create a smart doorbell messaging system so that when a guest clicks on the button, obtains an image of the user via a camera peripheral, uploads the image and event data to a Googles Firebase cloud, and sends a message with some message to notify that a guest has arrived.

Aims and Objectives of the project

The main objective of the project is to make a Smart door system. The other objectives are: –

  • To include an access button to allow the user to open/close the door

Materials

The main components of the Intelligent Door Access Management System are as follows:

  • Raspberry pi 3    
  • Push-button 
  • Logitech Camera                                                     
  • Stepper motor

Working

The first step was to make an interface between the Push button and the Camera using Raspberry Pi so that when the button was pressed the camera would take a picture. The next step is to connect the camera to the Firebase Cloud to upload the images in the Firebase Storage and send the image’s URL to the Firebase Database.

Next using Android Studio, a Mobile application was designed to retrieve the image from the Firebase Database. Using Node JS push messaging is also added along with the mobile app such that when someone is at the door a notification pops out. They can Open or Close the door using the buttons in the app. When pressed the data is sent to Firebase Database and retrieved by the Raspberry Pi which then operates the door.

Flow Diagram

Block Diagram of Door Access System

Bill of Materials:

Materials

Cost (in Rs.)

Logitech camera

1350

Raspberry Pi 3B

3500

Micro-Stepper motor

400

Push Button

50

Contingency

700

Total

6000

 

Future scope

  • Face recognition can be implemented to allow family members /regular guests
  • It can be integrated with a burglar alarm and inform the police of intruders 

Conclusion

The project “Intelligent Door Access Management System” has been tested real-world scenario and the door is opened or closed by the commands given by the user

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GPS-based Child Tracker with Emergency Text Alerts IoT Project

The hectic life of parents makes it very difficult to personally look after the kids. To overcome the problem of personal monitoring of children, we have come up with the idea of a GPS-based tracker with text alerts when the child is not present in the specified region.

Problem Statement:

To solve the problem of difficulty in keeping a check on children while they are playing in open areas while letting the children have their freedom to play from constantly being mocked by parents and to monitor the whereabouts of children by working parents. There is a similar project on Women Security System that can be seen here

Project Working Process:

Hardware Components

  • Arduino UNO
  • GPS Module
  • GSM/GPRS Module 

Software’s Used

  • Arduino IDE
  • Android (MIT App Inventor)

In this context, the solution we propose is a GPS-based Child Tracker with Emergency Text Alerts android application that can help parents in tracking the presence of their children. This application works with the help of android mobile-enabled with the ‘SMS’ feature and ‘Global-Positioning System (GPS)’ on the GSM network.

This Child Tracker with Emergency Notifier application works in two ways, the first is GPS-based is related to Location services, and the second is SMS-based which is related to Network services. In case when the Location-based services not working then the application alternatively use Network-based services that can send and receive messages.

Block Diagram:

CHILD TRACKER WITH EMERGENCY NOTIFIER Block Diagram

The GSM and GPS module is connected to Arduino Uno. The GSM module has a sim (data) through which we can receive message alerts and the GPS helps to track the location.

The data is sent to the cloud from GSM using AT commands and HTTP. The cloud is connected to the mobile app and the data is displayed in the app installed on the parent’s mobile.

Useful Projects on Self Security in Emergency Situations:

Self Security through GPS based Protection System

Stay Safe Women Security Android App Project Report

The GPS-based Child Tracker with Emergency Text Alerts app is integrated with maps and geo-fence.

The GPS is connected to Arduino using a VCC pin, GND pin, RX pin, and TX pin. Connections: VCC to 3V3, GND to GND, RX to TX, and TX to RX respectively. GSM is connected to Arduino using VCC, GND, RX, and TX pins. Connections: VCC to 5V, GND to GND, pin 3 to TX, pin 4 to RX respectively.

A tiny GPS++ library is included. Using IBM cloud (node-red flow editor) the data is sent to a mobile app developed using MIT app inventor.