Growth in population has led to growth in technology. People use car on large number and number of accidents taking place, is increasing day-by-day. Road accidents are undoubtedly the most frequent happening cases and overall, the cause of the most damage. There are many dangerous roads in the world like mountain roads, narrow curve roads, T roads. Some mountain roads are very narrow and they have many curves. The problems in these curve roads are that the drivers are not able to see the vehicle or obstacles coming from another end of the curve. If the vehicle is in great speed, then it is difficult to control and there are chances of falling off a cliff. Hence there is a need of many road safety systems. To avoid these problems in curve roads of mountain areas, we have proposed this vehicle accident prevention system.

The main controlling device of the project is Arduino UNO Microcontroller. This project makes a use of IR sensors, green and red LED lights. When two cars pass from the opposite side of a mountain curve the IR sensor senses the car and process this signal to the microcontroller then the microcontroller turn on the RED LED which can gives the indication of oppositive side of the vehicle. And then it changes one LED color into green to allow the one car to pass and then the other LED color turns green. In this way we can prevent the accidents of curved road.

The main objectives of the project are:

• Design a vehicle accident prevention system using IR sensor.
• Green, RED LED indications.

The project provides exposure to the following concepts:

1. IR sensor characteristics
2. Embedded ‘C’ programming concepts

The major building blocks of this project are:

1. Adapter Power Supply
2. Arduino uno micro-Controller.
3. IR SENSORS
4. Green, Red LED indicators.

Software’s used:

1. Arduino IDE Studio compiler for Embedded C programming.
2. Express SCH for Circuit design.

Regulated Power Supply:

Block Diagram:

video:

The main controlling device of the project is Arduino microcontroller. Four IR sensors, LCD display and Buzzer is interfaced to the Arduin microcontroller. Arduino will continuously read the vehicle presence through IR SENSOR. IR sensors detect the vehicle and pass this information to the Arduino, then and display the side name of the detected vehicle on the LCD along with buzzer for alerts. To achieve this task microcontroller loaded program written in embedded C language.

The main objectives of the project are:

• Automatic detection of four sides vehicle from our vehicle.
• detects and displays the presence of that side vehicle to the vehicle.
• IR sensor-based vehicle presence detection.
• Visible alerts using LCD display.
• Audible alerts using BUZZER.

The main building blocks of the project are:

• Adapter power supply.
• Arduino Microcontroller.
• LCD display.
• IR sensors.
• Buzzer

Software’s used:

• Embedded C programming.
• Arduino ide studio programmer for dumping code into Micro controller.
• Express SCH for Circuit design.

Regulated Power Supply:

Block Diagram:

video:

In our project we use IR sensors to detect the presence of a person. According to this project, two IR sensors are placed apart with a fixed known distance. Whenever IR rays are interrupted by a person during first sensor the count up timer is started. This count value is displayed on the 7-segment display. if it is obtained at second sensor then the count will be decreases depending upon the crowd.

Features:

 To display the real-time count value on a 7-segment display for easy visualization.

 To monitor crowd density by continuously updating the count based on people entering or exiting.

Major building blocks of the project:

• Arduino uno Microcontroller.
• TWO IR sensors.
• 7 segment display.
• Regulated power supply.

Regulated power supply:

Block Diagram:

video:

The robot uses IR sensors to sense the line; an array of 2 IR LEDs (Tx) and sensors (Rx), facing the ground has been used in this setup. The output of the sensors is a digital signal which depends on the amount of light reflected back, this signal is given to the PIC Microcontroller.

Line follower is a machine that can follow a path. The path can be visible like a black line on a white surface (or vice-versa) or it can be invisible like a magnetic field. Sensing a line and maneuvering the robot to stay on course, while constantly correcting wrong moves using feedback mechanism forms a simple yet effective closed loop system. Practical applications of a line follower: Automated cars running on roads with embedded magnets; guidance system for industrial robots moving on shop floor etc.

The controlling device of the whole unit is PIC Microcontroller to which input and output modules are interfaced. The Microcontroller is programmed in Embedded C language which intelligently performs the specific task. Here, the Microcontroller gets input from the line sensor attached to the robot. This input is processed by controller and acts appropriately on the motors of the Robot.

Features of the project:

• Design a battery-operated line following robot.
• IR sensors-based line detection and controlling.
• To achieve this task using PIC microcontroller.

The major building blocks of this project are:

• Battery power.
• PIC Microcontroller.
• IR sensors.
• DC motors with L293D motor driver.
• Robot chases.

Software’s used:

1. PIC C Compiler for Embedded C programming.
2. PIC kit 2 programmer for dumping code into Micro controller.
3. Express SCH for Circuit design.

Block Diagram:

video:

Two IR TX – RX pairs are used in this project to identify the entry or exit of the person. These two IR TX – RX pairs are arranged each one on two doors.

The TX and RX are arranged face to face across the door so that the RX should get IR signal continuously.

Initially the entry gate is closed. Whenever any person comes in front of the entry gate, the IR RX identifies it since the IR signal gets disturbed. Then the microcontroller opens the entry gate by motor. After some delay, the gate will be closed.

After the person finishes his task, when he stands near the exit door, the second IR pair placed at the exit gate detects the vehicle and then the exit gate opens for the vehicle to leave. The microcontroller closes the gate only after the vehicle exits out. And again the entry door sensor will be waiting for the next person to enter. Thus both the entry and exit gates will be locked when a vehicle is present in between the two gates providing security in all means.

This project uses regulated 5V, 500mA power supply. Unregulated 12V DC is used for relay. 7805 three terminal voltage regulator is used for voltage regulation. Bridge type full wave rectifier is used to rectify the ac out put of secondary of 230/12V step down transformer.

The main objectives of the project are:

1. PIC micro controller is the heart of the circuit as it controls all the functions.

2. PIC Micro controller allows dynamic and faster control

The project provides the following technology learning’s:

1. Interfacing of IR to controller.
2. Embedded C program.
3. PCB design layout.

The major building blocks of this project are:

1. Regulated Power Supply.
2. PIC Microcontroller.
3. DC motors with driver.
4. Crystal
5. LED Indicators.
6. IR sensors
7. Buzzer

Software’s used:

1. PIC-C compiler for Embedded C programming.
2.  Express SCH for Circuit design.

Regulated Power Supply:

Block Diagram:

video:

The system makes a use of microcontroller. The system uses two IR sensors one at the entrance and another at the exit depending on the count of people presence the system manage power using relay/transistor switches. The device status is displayed on LCD. Also, the system is equipped with intensity controller, which helps in controlling the system operation depending on the voltage compensating. By using POT user can control the voltage value. If the system detects low voltage, it can turn ON the capacitor and relay for voltage compensation. If the system detects high voltage, it can turn OFF the all devices. This system consists of ESP8266 WI-FI module to upload the person’s count and voltage values into the thingspeak cloud along with date and time.

This project makes use of an onboard computer, which is commonly termed as micro controller. It acts as heart of the project. To achieve this task microcontroller loaded program written in embedded C language.

The major features of this project are:

• IR sensors based bidirectional persons count.
• Based on person count, the automation system established in this system is an automatic Light and an automatic Fan.
• POT (potentiometer) based voltage settings.
• IOT based person count and voltage monitoring into the thingspeak cloud along with date and time.
• Automatic low voltage compensation using relay and capacitors.
• Display the person count and voltage on LCD.
• To achieve this task using Arduino nano microcontroller.

The major building blocks of this project are:

• Regulated Power supply.
• ARDUINO NANO microcontroller.
• IR sensors.
• Relays.
• Transister.
• ESP8266 WI-FI module.
• LCD display.
• LED indicators.
• POT(potentiometer).
• Capacitor.

Regulated Power Supply:

Block Diagram:

video:

[/iframe

The major features of this project are:

• pi camera and image processing based automatic WELDING DEFECT detection.
• Automatic obstacle detection using Ultrasonic sensor.
• Automatic obstacle detection and vehicle control system.
• Automatic line following using IR sensors.
• Automatic object detection using IR sensor.
• IOT based alert intimation to the user.
• Automatic welding defect detection and monitoring and also alerting system.
• To achieve this task using Raspberry pi3processor.

The major building blocks of this project are:

1. Li-ion battery Power Supply.
2. Raspberry pi3.
3. Pi camera.
4. IR sensors.
5. Ultrasonic sensor.
6. SD card.
7. LCD display.
8. DC motor with L293d motor driver

Software’s used:

• Raspbian OS.
• Python Language.
• Image Processing.

Block diagram:

video:

[/iframe

The project aims to designing a vehicle speed and count detection system. The Project makes a use of IR sensors to count the number of vehicle as well as speed will be display on 16*2 LCD display.

The IR transmitter and receiver are mounted on the both sides of the highway such that the rays from transmitter fall on the receiver. When a vehicle passes through IR system, it acts as an obstacle between transmitter and receiver sections. This will be fed to the microcontroller which counts the number of vehicles as well as speed of the vehicles and displays on LCD.

The main controlling device of the whole system is a ARDUINO UNO Microcontroller. IR sensors, LCD are interfaced to Microcontroller. Microcontroller calculates the number of vehicle and speed from IR sensors and displays the count and speed on LCD screen.  To perform this task, Microcontroller is loaded with an intelligent program written using embedded ‘C’ language.

The major features of this project are:

• IR sensor-based vehicle speed and count detection.
• Count and speed will be display on LCD.
• Simple electronic circuit.

The major building blocks of this project are:

1. Power Supply.
2. Arduino UNO.
3. IR sensors.
4. LCD display.

Software’s used:

• Arduino IDE for compiling and dumping code into Microcontroller
• Express SCH for Circuit design.

Regulated Power Supply:

Block Diagram:

The robot will start when the green signal is turn on and if there is a person on the robot.

This system uses RF technology to know the status of traffic signal. Weight switch is uses to detect the person whether the person is on the robot or not. Two IR sensors are uses to detect the obstacles at font and back side of the robot.

RF Communication ranges in between 30 KHz to 300 GHz. RF communication works by creating electromagnetic waves at a source and being able to pick up those electromagnetic waves at a particular destination. These electromagnetic waves travel through the air at near the speed of light. The wavelength of an electromagnetic signal is inversely proportional to the frequency; the higher the frequency, the shorter the wavelength.

The controlling device of the whole system is a Microcontroller. The Microcontroller gets the input from traffic signals and send this data to the robot though RF transmitter.

This data received by RF receiver and process this data to the microcontroller and then microcontroller will check the signal whether it is green or red. If the signal is green then the microcontroller will check the person is on robot or not through weight switch.

These both conditions are satisfied then microcontroller will start the robot to cross the road along with obstacle detection. The microcontroller loaded program written in embedded C language.

The objectives of the project include:

1. Design a road crossing robot.
2. Using RF wireless technology.
3. Obstacle/object presence detection using IR sensor

The project focuses on the fallowing advancements:

1. RF technology.
2. Interfacing RF modules to Microcontroller
3. DC motor working and need for motor driver.
4. Interfacing IR sensors to microcontroller.
5. Working about Traffic Signals.
6. Embedded C programming.
7. PCB designing.

The major building blocks of this project are:

1. Regulated Power Supply
2. RF Transmitter.
3. RF Receiver.
4. PIC Micro Controller
5. DC Motor with l293d motor driver.
6. Two IR sensors.
7. Reset Button.
8. Crystal oscillator.
9. LED indicators.

Software’s used:

1. PIC-C compiler for Embedded C programming.
2. PIC kit 2 programmer for dumping code into Micro controller.
3. Express SCH for Circuit design.

Regulated Power Supply:

Block diagram:

video:

This robot consists of pi camera to recognize the face using image processing. This robot takes the persons to their selected destination by following the lines. The robot greets a known person. If the robot recognizes unknown person it will asks to select a destination if it is an unknown person. This robot consists of push buttons to select the destination like class room1, class room 2 and lab1, lab2. This robot consists of voice module to gives the voice output. This robot consists of ultrasonic sensor to detect the obstacles in its path. If the robot detects the obstacle, it will stop automatically.

The device which is able to perform the task is a Raspberry Pi processor. To perform this task, Raspberry Pi processor is programmed using embedded ‘Linux’.

The objectives of the project are:

1. Capturing of Person images using pi camera.
2. Voice based assisting system.
3. Obstacle detection using ultrasonic sensor.
4. Design a Line following robot to greet and guiding the persons at colleges.
5. IR sensor-based line following system.
6. Raspberry pi and Pi camera-based face recognition.

The project provides learning’s on the following advancements:

1. Learn about Image processing Technology.
2. Raspberry pi working and programming.
3. Interfacing pi camera to the raspberry pi.

The major building blocks of this project are:

• Battey Power supply.
• Raspberry pi3.
• SD card.
• Pi camera.
• Push buttons.
• IR sensors.
• Ultrasonic sensor.
• DC motor with l293d motor driver.
• Speaker.

Software’s used:

1. Python language.
2. Linux OS.
3. Express SCH for Circuit design.

Block Diagram:

video: