Category: IOT Projects

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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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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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Temperature and Air Quality Monitoring System Project for Pet lovers

Introduction:

In this modern world, there are many pet lovers who would like to carry their pets to places wherever they go. It’s the responsibility of the same person to ensure the safety of their pets. There are some public places where they can’t take their pets. For example, if a person visits a shopping mall he can’t carry his pet into the shopping mall. Hence, he/she has to park his car in the parking lot, leave his pet inside the car, slide down the window a little bit for air circulation and continue his shopping.

For suppose he/she forgot to slide down the window and left for shopping then the pet gets suffocated due to lack of air circulation and a rise in temperature. Even though he/she slides down the window and leaves for shopping there is a possibility that one of the many people inside the parking lot may smoke a cigarette. The smoke released may enter the car and damage the air quality which in turn may have effects on pets.

This is where our project finds its scope. We are developing a “Temperature and Air quality monitoring system for Pet lovers” in which we are monitoring the temperature levels, humidity, pressure, and air quality of the air inside our automobile and present them in an attractive dashboard so that the pet owner can monitor the atmospheric conditions inside his automobile through all of his gadgets having internet connection.

High-level architecture of the project:

Hardware Requirements:

  • Raspberry Pi Zero
  • 32 GB or larger Micro–SD Card
  • Power Supply and cable
  • BME680 Sensor
  • Connecting cables

Software Requirements:

  • Balena Cloud to create dashboards using sensor data
  • Balena Etcher to flash our SD card
  • Balena CLI for command line interface
  • Balena Sense code for installing the services

Project Implementation:

Step-1:

  • The first step of our implementation is to flash the operating system is to flash balena operating system into our Raspberry pi zero board.
  • For this initially, we have to create a balena cloud
  • Once we signed up and login into our balena cloud account then we have to create an application as shown below with our Wifi SSID and password and then we have to download Balena operating system image
  • Once we download the operating system image file then we will insert our SD card into card reader and connect the card reader to our
  • Then we will flash the OS image file into an SD card by means of balena Etcher as shown
  • By end of this system, our SD card should be ready with the flashed operating system for insertion into our Raspberry Pi zero board.

Step-2:

  • The main aim of this step is to complete the hardware
  • Please find the pin configuration of the Raspberry Pi Zero
  • Please find the pin configuration of the BME680 sensor
  • The connections are listed below:

Pin1 of Raspberry Pi zero——- CC pin of BME680

Pin3 of Raspberry Pi zero—– SDA pin of BME680

Pin 5 of Raspberry Pi zero—– SCL pin of BME680

Pin 9 of Raspberry Pi zero—– GND pin of BME680

  • Once we complete the connections to the BME680 sensor then we have to insert the flashed SD card into the SD card slot of our Raspberry Pi Zero
  • Please find the Raspberry Pi zero board after the connections are done as below:

Step-3:

  • Once we completed step 2 then we have to power up our Raspberry Pi zero board and then we have to open balena
  • If everything goes right our device must automatically be listed in balena cloud as shown
  • Then we have to install Balena command line interface for pushing the services
  • Then we have to push balena sense code into our board by using push
  • Please find the balena CLI below:
  • Once the push is successful then automatically the services get installed as shown below:

Step-4:

  • When the above three steps are successful then our cloud starts pulling the data from the sensor
  • To see the readings in dashboards we need to enable the public device URL and we can copy the URL we can access the dashboards on any device on which a web browser is installed across any geographic location.
  • Please find the screenshot of the dashboards below:
  • Then for testing purposes, I started breathing on the sensor. As we all know human breath contains CO2 and it is warm we can see on the dashboards as Indoor Air Quality showing Unhealthy and temperature is also raised as
  • After I have stopped breathing on the sensor within some time the IAQ returned to Good and also we can see the temperature started dropping as
  • As I have mentioned earlier every individual having a public device URL can monitor the dashboards from any electronic device which has a web browser installed in it. Please find the dashboards opened from the mobile phone
  • Hence the device is placed in a car with wifi module connected to it our device starts sending the data to the cloud. Hence even though pet owners leave their pets in cars and left for shopping can monitor the temperature and air quality and can make sure their pet is safe.
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Smart Agriculture System Project on IBM IOT platform using NodeRed framework

Project Scope

We need to follow these steps to complete our Smart Agriculture System Project:

  • Project Planning and Kickoff
  • Explore the IBM Cloud Platform
  • Connect the IoT Simulator To the Watson IOT Platform
  • Configure the Node-red to Get the Data From the IBM IoT Platform And Open Weather API
  • Building A Web App
  • Configure Your Device to Receive The Data From The Web Application And Control Your Motors

Our Project’s main aim is to help farmers to control their motors from home. He/ She can On and Off his motor by using his mobile phone.
By using Weather API he can know the weather conditions like temperature, humidity, and soil moisture.

Project Background:

  • This Smart Agriculture System Project mainly aims to help the farmers to ease their work.
  • Farmers can get real-time weather conditions by using smart agriculture.
  • Instead of physical devices we create devices in the IBM IoT platform and use them in our project.
  • We connect our device to the IBM node in the NodeRed framework.
  • We need to create a Weather API account to configure the weather API Platform.
  • We then Configure our Node-red to get the weather forecasting data using HTTP requests.

Project Schedule:

  • Project Planning and Kickoff
  • Explore IBM Cloud Platform
  • Connect The IoT Simulator To the Watson IOT Platform
  • Configure The Node-red To Get The Data From IBM IOT Platform And Open Weather API
  • Building A Web App
  • Configure Your Device To Receive The Data From The Web Application And Control Your Motors

Project Requirements:

  • IBM Cloud Account and IBM Watson IOT Platform to create device and sensor
  • Python IDE
  • Node-Red
  • Open weather API Platform

Functional Requirements:

  • Measure Temperature.
  • Gauge Temperature.
  • Gauge Humidity.
  • Gauge Pressure.
  • Weather API.
  • Display the sensor readings using the Watson IOT sensor.
  • Respond to sensor readings and send alerts to the user.

Technical Requirements:

IoT Simulator

Software Requirements:

  • Python
  • Node-Red
  • IBM Watson IOT Platform
  • Open Weather API

Project Deliverables:

A Smart Agriculture System web App for farmers where he can:

• Monitor temperature, humidity, and Soil moisture along with weather forecasting details.
• Control motor for watering the crop through the web app from where he was.

THEORETICAL ANALYSIS

  • Required Software Installation
  • Node-Red

Installation:

  • First, install the Node
  • open command prompt
  • Type ->npm install node-red

To Run the application:

  • open command prompt
  • And then type “node-red”
  • Now open http://localhost:1880/ in the browser

Installation of IBM IOT nodes and Dashboard nodes for Node-Red

  • In order to connect to the IBM Watson IOT platform and create the web UI, these nodes are required
  1. IBM IoT Node
  2. Dash Board Node

IBM Watson IOT Platform

  • Steps To Configure:
  • Create an account in the IBM cloud using your email ID
  • Create IBM Watson Platform in services in your IBM cloud account
  • Launch the IBM Watson lot Platform
  • Create a new device
  • Give credentials like device type, device ID, Token
  • Create API key and store API key and token elsewhere

Python IDE

  • Install python 3 Compiler
  • I Installed PyCharm Community Edition 2020

IoT Simulator

 In our project in the place of sensors, we are going to use a lot sensor simulator which gives random readings to the connected

OpenWeather API

Building Project

Connecting IoT Simulator to IBM Watson IOT Platform

  • Open link Provided in section 4
  • Give the credentials of your device in IBM Watson IoT
  • Click on Connect
  • My credentials given to the simulator are:
  • Organization ID:ka1gns
  • Device Type:nodemcu
  • Device ID:1234five6789
  • Authentication Method:use-token-auth
  • Authentication Token:*********
  • You, Will, receive the simulator data in the cloud
  • You can see the received data in Recent events
  • Data is received in this format (JSON)
  • You can see the received data in cards by creating cards on Boards Tab

4.2    Configuration of Node-Red to collect IBM Cloud Data

  • The Node-Red IBM IoT App is added in Node-Red Work The appropriate device credentials obtained earlier are entered into the node to connect and fetch the device to Node-Red
  • Once it is connected Node-Red receives data from the device
  • Display the data using debug node for

Configuration of Node-Red to collect data from Open weather API

  • The Node-Red also receives data from the OpenWeather API by HTTP GET request. An inject trigger is added to perform HTTP requests for every certain
  • The data we receive from OpenWeather after the request is in JSON format

Configuration of Node-Red to send commands to IBM Cloud

  • By using IBM IoT out Node I used to send data from Node-Red to IBM Watson So, after adding it to flow we need to configure it with the credentials of our Watson device.

Adjusting UserInterface

  • By connecting all the flows shown above
  • We can display our UI by clicking on the dashboard tab in Node-red
  • On the above page, we can display the sensor data and motor
  • On this page, we open weather API data is displayed
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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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IoT based Attendance System Project Using Blockchain and JAVA MySQL

The success of this IoT-based Attendance System app will ensure that many more parents and organizations will be motivated to use this common platform. It becomes complicated when strength is more. With the increase in technology, attendance monitoring is designed with android or web-based applications. However, the intention of this design is to provide a Blockchain-based app that can be downloaded and used by the organization with no third-party control to meddle with the data.

There is an update option to modify attendance when it’s needed. However, the modifications are recorded and tracked, just in case, it’s a fraudulent activity. Attendance is captured using IOT automatically and is entered into the blockchain which makes the data tamper-proof, secure and robust. The privacy of its users is preserved because the user ids are generated by a trusted third party. This data is available for the government for Scholarships and other related decision-making.

IOT-based Attendance System using Blockchain is an application that is made for students and faculty of a particular college to maintain students’ attendance which is captured through an IOT device(biometric) and then the attendance is stored in the Blockchain. Blockchain is used in this application to ensure safety and a tamper-free environment as the data cannot be manipulated and is used for government purposes.

Objectives

Generally, in many institutions attendance is monitored and marked using conventional systems like android or other similar web applications. Few conventional databases do not have features like checking whether any information has experienced unauthorized changes or not. In this system when the data is entered into the blockchain, no one is allowed to edit or delete the data.

This makes the application transparent and different from other web-based attendance systems as IoT is used to capture attendance through biometrics of the students in the class. Students’ poor attendance rate is one of the most challenging problems tackled by college management today. With the help of this application, student attendance rates can be improved which is also helpful for the government to take precise decisions regarding scholarship-like schemes for students with transparent data. Using blockchain and some encryption techniques, this application is made secure from any manipulations.

Student Login Page

Methodology

The fingerprint module will collect fingerprint data from multiple users and sends it over the internet to the website. The IoT-based Attendance System website is coded in HTML, and CSS, JSP has a MySQL database, and records of attendance are stored in Blockchain. By logging into the website, the student can view all their attendance records. The timestamp of students’ attendance is encrypted and stored in the blockchain.

CONCLUSION AND FUTURE SCOPE

This IoT-based Attendance System application helps to automize the attendance system and makes it easy to manage all the data. Encryption, decryption, and blockchain make the application very secure. The application has a very user-friendly UI and is made to keep UI and UX in consideration.

The future enhancement of this IoT based Attendance System application is

  • To use Ethereum to make the application up to date with the technologies
  • To generate automatic weekly and monthly reports

DATABASE TABLES SCREENSHOTS

Tables in the project.
Test case showing the home page after pasting the URL in the browser
Test case showing navbar functionalities working.
Test case showing login is done and navigated to the home page
Test case showing student registration is working.
Test case showing faculty registration
Test case showing faculty registration is working.
Test case showing attendance stored in blockchain

IoT based Attendance System Using Blockchain
Test case showing student’s attendance records.
Test case to get student report
Test case showing Student’s attendance report.
Test case showing download report is working
Test case showing all student details.
Test case showing all student’s attendance records.

Flow Chart Diagram:

Flow Chart

Architecture Diagram

Architecture Diagram

Usecase Diagram:

usecase diagram

Software Requirements

Programming Language: Java
Graphical User Interface: HTML, CSS with Bootstrap, JSP
Libraries: MYSQL connector jar file, Apache Tomcat jar file
Encryption Algorithm: SHA-256
API: JDBC
Framework: Java EE
Tool: Eclipse, MYSQL

Hardware Requirements:

IOT Fingerprint Scanner

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Automatic Vehicle Accident Alert System using IBM Cloud

In this Automatic Vehicle Accident Alert System project, we are using Node MCU, Arduino UNO, Accelerometer, and GPS module to store the location of the vehicle and to send an immediate alert message to the nearby hospitals, police stations…etc. Here we use serial communication to send the information from Arduino to Node MCU.

The Arduino receives the latitude and longitude values of the vehicle from the GPS module. The accelerometer reads the XYZ axis values. These values are read by Arduino. The XYZ values are compared with the condition given in the code to check whether the vehicle is met with an accident or not.

If the vehicle is met with an accident, latitude, and longitude values are copied to the NodeMCU, and the message is sent to the nearby police stations, and hospitals using the msg91 application. The GPS location of the vehicle is continuously stored in the IBM cloud.

Block Diagram:

Block Diagram of Vehicle Accident Detection

Hardware components:

  • Arduino
  • Node MCU
  • GPS Module- NEO-6m
  • Accelerometer- ADXL-335

Software Components:

  • Arduino IDE
  • IBM Cloud
  • msg91
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A Smart & Secure Helmet IoT Project

Abstract

This Smart & Secure Helmet IoT Project is aimed at using the concept of the Internet of Things (IoT) and chemistry with the rider’s helmet to provide extensive safety, guidance, and health care features. The following features are planned to be implemented in a phase-wise manner in the project :

1. Internet of Things(IoT) based traffic emergency system

2. Internet of Things(IoT) based traffic guidance system

3. Extensive protection from sunstrokes

4. GPS tracking

All these facilities are to be implemented on the helmet with maximum cost efficiency to make the final product within the reach of the Indian common man.

Goal

The goal of this project is :

  • To provide advanced traffic safety mechanisms through IoT to the people at affordable costs.
  • To provide IoT-based traffic guidance system to the people – first target: Tier-1 cities in India
  • To provide extensive protection from sun strokes, especially during the hot summer season in India
  • To make this project an innovative platform for many other applications like Easy GPS tracking, Health sensor, etc.

Motivation

There has been a multiple-fold rise in the number of road accidents in recent days and many times, emergency services have faced difficulty in a timely response to the situation.

In large cities, sometimes the emergency services find it difficult to locate the spot of the accident based on a phone call.

Companies(logistics, customer service) face difficulties in tracking the vehicles of their employees

Even with the heavy risk of not wearing a helmet, People do it as they find it inconvenient to wear a helmet in hot humid sub-Continent conditions. Our new chemical system compartment in the helmet solves it.

All these situations prompted us to look into the possibility of IoT coming up helping people in these cases and we found out that in the initial phases of our project, we can use the helmets used by people while driving. Later the same technology can be used on other vehicles to provide an all-around extensive safety mechanism.

Class Diagram:

ADVANTAGES

The helmet will be mounted with appropriate sensors at appropriate positions on the helmet. They are calibrated to sense high impact due to an accident or crash.

Once they detect the designated input, the rider’s location is immediately sent to a cloud of hospitals, and the nearest hospital is notified about that so that the ambulance can reach the spot immediately.

1. Immediate response to any accident by the emergency services since all of them become a part of the network (of things).

2. The location of the accident is too updated to the emergency services so that finding the location won’t be much trouble.

3. Details of the personnel are also updated to the emergency service center so that formalities of paperwork may be completed beforehand.

4. Continues tracking of employees for Companies like logistics, customer service, etc.

5. Proper Traffic Guidance using Google Services.

6. Humidity reduction inside Helmet.

7. Many inbuilt Bluetooth facilities like automatic call acceptance (while driving) etc.

Conclave on the Internet of Things provided us with exposure to the applications of the concept of the Internet of Things (IoT) and several other creative approaches that solve day-to-day problems by invoking the interconnection and sharing between the day-to-day products.

Apart from the conclave, we would like to appreciate the suggestions and help from the faculties which proved to be a priceless booster to our project.

We are a team dedicated to the research and development of creative solutions to day-to-day problems. We aim at creating smart, simple, innovative ad cost-effective solutions which could be affordable for the common man of India.

Future Work

PROTOTYPE-II: To implement a traffic guidance system using Google services.

PROTOTYPE-III: To implement a fully integrated traffic safety and guidance system

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Automating the Irrigation Process by Analyzing the Soil & Weather Conditions

This is Automating the Irrigation Process by Analyzing the Soil & Weather Conditions Project.

The main aim of developing this Smart Irrigation System IoT project to provide easy irrigation methods to the farmers as per the Soil & Weather Conditions.

In this project, we are using GSM Module (SIM300 Module), this is used to receive text messages from the Android app and it gives the message to the Arduino UNO board.

The Job of the Arduino board is to read messages from the GSM and it will process the output for the motors and it will also tell us the status of the soil moisture, temperature, and humidity in the agriculture field.

Smart Irrigation System IoT project

This project 2 Modes

In Auto mode, it detects the soil and if it is dry The motor will be on and If it is wet then the motor will be off.

and can swich on/off the pestiside motor also.

In Manual Mode, the farmer can switch on the motor manually with the help of the Android app.

Whatever the messages We send via an Android app, The GSM receives and it sends to the Arduino UNO board over serial communication.

from this Arduino we have 2 Relays, Relays are nothing but electromechanical switch. This Arduino giving a signal to the relay board.

The below is the working procedure of the Smart Irrigation System project.