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

Smart Traffic Light Control System Embedded Systems Project

Abstract

Considering the heavy traffic congestion on daily basis sometimes emergency vehicles like ambulances get stuck in the congestion which complicates the situation. Normal traffic lights are not able to operate according to the requirement of emergency vehicles. So, our project aims to make them operate keeping the track of the emergency.

Design/Algorithm

We are operating the traffic light based on the interruption given by the emergency vehicle. So when it gets interrupted by an ambulance it turns off all the traffic signals apart from the one on which the ambulance is coming.
Proposed- In the Smart Traffic Light Control System project IR transmitter is being used which will transmit the code and the receiver will detect it then the microcontroller(Arduino) will get an interrupt and it will stop the normal functioning of the traffic signal and free the path of the ambulance by making the light green.
CCN components to be applied-
Source encoding and Decoding and error detection like checksum and parity Checker.

Design Schematic/Flow Diagram/Block Diagram

Components Used (S/w, H/w)

Hardware components:

• IR module
• Arduino
• Breadboard
• LEDs, Resistors
• Jumper and connecting wires

Software Used:

• Arduino(IDE)

Cost Estimation:

Around 250 if we use a general microcontroller instead of Arduino.

Work Done

Whenever there is no emergency vehicle like an ambulance, the traffic system will work as usual but when the vehicle comes it will turn on the green light (according to the program) so the ambulance will not have to wait.
For making it foolproof, source encoding and error detection are done by assigning a specific code to the ambulance.

Working Constraints

  • The traffic congestion needs to happen for deploying this technique.
  • Only aiming at VIP/Ambulance vehicles.
  • Works using IR so restricted to a particular radius.
  • Only applicable to Tier-1 cities with traffic lights already installed.

Future Scope of Project

  • In the future, this project can be implemented for every vehicle irrespective of the priority.
  • IR can be replaced by GPS modules to increase the effectiveness and span of the connection.
  • It can be used as a tracking device by the company to seek their employee’s current positions, like pizza delivery or e-kart suppliers, etc.
  • By using the tracking sensor we can implement our traffic cloud system to help users to navigate through the less clumsy path.

School Bag Security Device Microcontroller Project

Bag Security is a device developed in partial fulfillment of the course of Microcontroller and its applications that gives an indication to the owner whenever the Bag zip is opened when it is carrying. This School Bag Security project also displays the number of books in the bag which is useful for children below 10 years to verify whether they are carrying the same number of books they bought from home or not.

CIRCUIT DIAGRAM:

OUTPUTS IN BOTH PROTEUS AND HARDWARE:
CASE 1: INCREMENT OF BOOKS:

EXPLANATION:

For increment first, the IR sensor1 will be detected and then IR sensor2 will be detected then only the book will be increment. IR sensor1 should be placed near the bag zip and IR sensor2 should be placed below the IR sensor1.

This shows the connections for our project left side two switches are IR sensors and the left side two switches are one switch and another IR sensor

CASE 2: DECREMENT OF BOOKS:

EXPLANATION:

For Decrement first, the IR sensor2 will be detected and then IR sensor1 will be detected then only the book will be decrement. IR sensor1 should be placed near the bag zip and IR sensor2 should be placed below the IR sensor1.

CASE3: WHEN ZIP IS OPEN:

EXPLANATION for case3:

The buzzer should ring only when we are carrying the bag and also when the zip is opened the truth table explains that. So, we kept the switch on the bag Zip and the Ir sensor below the zip inside the bag. When the switch is on and also the Ir sensor detects the light then the buzzer or LED will be ON.

CONCLUSION:

We have designed a device that will ring the buzzer only when we are carrying the bag and also when the zip is opened. And also, we have included an LCD which displays the number of books in the Bag.

COMPONENTS USED:

  • Microprocessor development board
  • AT89C51
  • IR SENSOR
  • LCD

Download School Bag Security Project

This project was developed with an 8051 Microcontroller.

Obstacle Avoidance Voice Controlled Robotic Vehicle Project

This Obstacle Avoidance Voice Controlled Robotic Vehicle Project work is mainly based on Arduino, Motor driver, and Bluetooth module. Arduino is an open-source prototyping platform that is based on easy-to-use hardware and software. Arduino makes use of an ATmega328 microcontroller.

Robotics has become a major part of our day-to-day life and also it plays a vital role in the development of new technology in the engineering field. This is a simple type of remote control car, where the ordinary microcontroller has been replaced by Arduino and the IR sensors have been replaced by the Bluetooth module.

The remote device to control this device can be any android or IOS mobile phone. And in this, we have also included the ultrasonic sensor which detects any obstacle present in front if any it stops the car. This project can be made used on a large scale for real-time vehicles.

hardware implementation of the circuit diagram including ultrasonic sensor

This project is controlling cars not by using sensors or transmitters but by using Bluetooth which is a very simple medium of communication in the present day. The remote device which controls this project is an android device that has an inbuilt Bluetooth module. Through Bluetooth, we can connect two devices.

Here we have inserted a Bluetooth module that gets connected to the phone‘s Bluetooth, which allows us to communicate and allows to take control over it. The main control of the car is played by the Arduino UNO which is the micro-controller ATMEGA32. Arduino has played a major role in the robotic section and it had made it easier to convert digital and analog signals to physical movements.

This project is Bluetooth-based because it gives us a wider range of control and more efficiency. It also gives us the advantage of changing the remote anytime, so that we can use any android device including phones, tablets, and computers. Physical barriers like walls and doors do not affect controlling the car. We have also included the ultrasonic sensor which helps the bot to stop automatically when an obstacle is present before it. An obstacle detector is added to protect the system from obstacles on the way by using an ultrasonic sensor that is mounted on the servo motor.

The voice-controlling commands are successfully transmitted via Bluetooth technology and on reception; the desired operations successfully take place. This project reduces human efforts in places or situations where human interventions are difficult. Such systems can be brought into use in places such as industries, military, and defense, research purposes, etc.

Hardware components to implement this project:

  • Arduino UNO
  • Motor shield
  • Ultrasonic Sensor
  • Bluetooth Module (HC-05)
  • Servo Motor
  • Jumper Wires
  • Bo Motor 300 rpm
  • Car Kit

Download the complete OBSTACLE AVOIDANCE VOICE CONTROLLED ROBOT Final Year ECE Project code & Report.

Detection of Currency Notes and Medicine Names for the Blind People Project

OBJECTIVE:-

We have seen blind people facing many problems like fake Currency Notes Detection in our society. So, we have come up with some solutions for some problems they face. As they are blind, they are not able to read the medicine’s name and they always depend on another person for help. Some people take advantage of their disability and cheat them by taking extra money or by giving them less money. And by this Currency Notes Detection project, we are making them independent in terms of medical benefits.

METHODOLOGY: –

To overcome the problem of blind people we have come up with an innovative idea, where we are making use of machine learning, image processing, OpenCV, text-to-speech, and OCR technologies. To make their life comfortable.
In this Currency Notes Detection project, we are using a camera for getting the input, where the inputs are pictures of medicine and currency. These images can be manipulated using image processing and OpenCV. Once the processed image is obtained then it is cropped and thresholding is done, In the next stage we will extract the name of the medicine, then we will convert that text into speech using text-to-speech technology.

Similarly, we will also take pictures of currency, and then by using image processing and machine learning we will compare the picture with a predefined database of the currency that we have already prepared. The next process will be to convert the value of currency into text and then the text is converted into speech using text-to-speech technology.

Block Diagram: –

Technology Used:

  • Image Processing: To extract necessary information
  • OpenCV: To threshold image, color shifting, scanning, and cropping, setting grey level, and extract contours
  • Python 3: To set up the environment and interact with devices
  • OCR (Optical Character Recognition)
  • Machine Learning: Handwritten data is trained in a classifier to process manual marks awarded.

Results

The Detection of Currency Notes and Medicine Names for the Blind People Project can help the blind person in the detection of currency notes and medicine names. By this, the blind person would take care of himself without the help of any caretakers. This would make their life easier and simpler. The talk-back feature used would help them to access the application easily without any complications.

  • This project would help blind people to detect the proper currency that they have received or which they need to give without being cheated for receiving the wrong currency or by avoiding giving the wrong currency. This would make them economically stable and strong
  • Not only in currency detection but also this project would help blind people to recognize the name of the tablet and also help them to know how many dosages they need to take as per the name of the tablet.

This Currency Notes Detection project would help blind persons both in an economical way and in the perspective of health. This would make their life easier and make them confident.

Applications

  • Blind persons will be able to recognize the correct currency without getting cheated in any type of money transaction.
  • Blind persons always need not be dependent on others to know which medicines they need to take at a particular time.

Advantages

  • This project will work on mobile phones only no need to buy any extra things.
  • This work is implemented using TalkBack for android and Voiceover for iOS which means blind people can easily access the application.
  • Easy to set up.
  • Open-source tools were used for this project.
  • Accessible to all devices irrespective of the OS.
  • Cheap and cost-efficient.

Disadvantages

  • It is very difficult to determine whether the currency is a fake one when it is an exact copy of the real currency.
  • For the medicine part, the image should be taken from any side where the name of the medicine is written.

Conclusion

This work shows how visually impaired people (blind persons) can protect themselves from getting cheated in terms of money transactions and also how to reduce the dependency on other people to take the right amount of medicine at the right time Whenever the blind person takes the image using his phone camera the image will be compared with the data set which is created.

After comparing the image if it gets the accuracy above the threshold value then it will give the spoken feedback to the person by saying the value of the currency Similarly in the case of medicine detection extract the name of the medicine and gives the spoken feedback as how many times that person needs to take the medicine, thus making this work as one of the assistants for a blind person.

Future Scope

• Include the data set of photos that contain a person’s images it can also be used to detect a person who has a blind person meets.
• It can also be used to track the blind person using GPS

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.

https://www.youtube.com/watch?v=1xkAC9r6Dqc

Eye Blink and Alcohol Sensor Based Vehicle Accident Prevention System

Accidents are the most common cause of death for the peoples who drive vehicles. Accidents happen, even to the people who are careful, but many accidents may be avoidable if simple precautions are taken. One of the major reasons for the accident is drink and drive. We can avoid these accidents by providing the eye blink and alcohol sensors to the drivers. The eye blink switch responds to the voluntary blink of the eye and requires minimal calibration. It discriminates between voluntary and involuntary blinks.

Existing System:

Most of the accidents occur due to lack of concentration and tiredness of the driver. The number of accidents increases due to lack of preventive measures.

Proposed System:

In this system, to overcome these problems we make use Eye-blink and Alcohol sensors to monitor the status of the driver. In one application when the driver is tired, the eye-blink sensor compares with the predetermined count in the microcontroller and if it is abnormal, the microcontroller generates an alarm signal and the alert message is displayed in the LCD. In the meanwhile, the motor gets stopped.

In other application, if the driver is in a drunken state, the alcohol sensor detects the abnormality by comparing the predetermined values in the microcontroller and the alert message is displayed on the LCD. Meanwhile, the motor gets stopped ant driver is in a safe condition.

Applications:

  • Can be used in vehicles for safer driving.

 BLOCK DIAGRAM:

Hardware Requirements:

  • Microcontroller Unit and Power Supply.
  • Eye-blink and Alcohol sensor.
  • Alarm & LCD.
  • Relay unit. 

Software Requirements:

  • Embedded C.
  • Keil Compiler. 

Advantages:

  • Cost effective.
  • High safety.

2018 – 2019 ECE and EEE major projects List

Hi,

Welcome to 1000 Projects ECE Projects Section., These are the below advanced Electronics and Electrical Projects List which can useful for ECE and EEE students for their final year projects submission.

  1. Face recognition based attendance management system using Raspberry Pi
  2. Finger scanner and facial recognization based door security system using Raspberry Pi.
  3. Smart garbage bin municipal operations.
  4. Agri-bot: Agriculture robot.
  5. Pipe inspection robot with live video streaming over android application
  6. Smart trolly for easy billing using a raspberry pi.
  7. Product sorting machine with color identification using a raspberry pi
  8. Advance surveillance robot using a raspberry pi
  9. Intruder alert system: IOT based home security with E-mail and photo using a raspberry pi.
  10. Web application based home automation using a raspberry pi.
  11. College notice board display over IOT.
  12. Smart toll plaza with RFID based door opening system and balance alerting over the message.
  13. Vehicle security system with engine locking over IOT
  14. Smart travel luggage bag.
  15. Accident identification based alerting location over GSM and GPS.
  16. Railway Track Pedestrian Crossing between Platforms (Movable and flexible railway platform).
  17. Greenhouse monitoring and Weather station monitoring over IOT
  18. Smart assistive device for deaf and dumb people.
  19. Semi-autonomous Garbage collecting robot.
  20. Solar power based grass cutting and pesticides praying robot.
  21. Smart Wearables: Emergency alerting with location over GSM for women.
  22. Automatic car washing and drying machine with conveyor support.
  23. The real-time voice automation system for the college department.
  24. Patient health monitoring over IOT
  25. Automatic gear shifting mechanism for two-wheelers.

Advanced Vehicle Security System Project Synopsis

Abstract

This main & objective of this proposed project work is an attempt to design an advanced vehicle security application that can identify vehicle accident detection and fire detection alert can send the details over GSM to authorized persons.

In present existing security models, there is no such automation system which will send alert to the user when an accident is meet or if it gets caught with fire. It is very difficult to identify the vehicle in this situation.

We are proposing the new security system for 4 wheelers, which will have given security to the vehicle. In this system, the vehicle will have Position sensor and bump sensors inside the car to detect the vehicle accident and we have a temperature sensor to detect engine overheating and alert the user in the car with buzzer sound and an alert is sent over GSM module.

The entire security system is controlled with Arduino UNO board. This complete system is designed taking into consideration the low range vehicles to provide them extreme security.

Required Components:

Temperature sensor
12V Battery
Motor Driver
DC Motors
GSM
Arduino Uno
Buzzer
Bump sensors
GYRO module

Block Diagram:

Smart Home Automation System ECE Project

The main aim of developing this Project is to automate our Home easily. In this project, we control 2 AC Load Devices, 2 Bulbs, Small exhaust Fan. Here we have temperature monitoring device and Methane gas detector device.

With the help of the Kit, we can control all the appliances in the home through the android app and moreover LPG gas detector in the house where sensor senses the gas and it will automatically on the exhaust fan, and when Temperature in the house increases it automatically switches on the exhaust fan.

The temperature can be displayed on the LCD Screen in the Project. In this project we are using Aurdino board, 4 channel relay Module, Bluetooth for controlling the devices and LM 35 for the Temparature sensor, Smoke sensor, 16by2 LCD Display and samll plug box for connecting the 2 ac loads.

We have an android app to control the lights, fans, the temperature in the home.

Working Video of the Project: