Hebbian learning is seen in Pavlov’s experiment with his dog. In this experiment, when food was offered to the dog, it caused the dog to salivate. At first the sound of a doorbell elicited no such response. However, Pavlov decided to sound the bell when he offered food to the dog. After a few repetitions of this experiment, the dog began to salivate at the sound of the bell even when no food was present. Here food was the unconditioned stimulus, and the doorbell was the conditioned stimulus. In similar way our project Robot is trained

The controlling device of the entire system is a PIC microcontroller. The proposed intelligent robot consists of an IR sensor, four LDR sensors, a joystick, and DC motors interfaced with the PIC microcontroller. The IR sensor is used for obstacle detection, and whenever an obstacle is detected, the microcontroller automatically stops the robot to avoid collision. Four LDR sensors are placed in four different directions—front, back, left, and right—to detect the direction of light. The joystick is used during the training process to provide movement commands to the robot. Initially, shining light on the LDR sensors does not produce any movement. During training, the user operates the joystick in a particular direction while simultaneously shining light on the corresponding LDR sensor. The intelligent algorithm programmed into the PIC microcontroller learns the relationship between the light input and the joystick movement. After training, the robot automatically responds to the direction of light based on the learned pattern. The entire system is controlled through an intelligent program developed in Embedded C language, enabling light-guided movement, obstacle detection, and motor control.

Objectives:

1. To design and develop an intelligent robot based on a neural network and Hebbian learning concept.
2. To implement a training mechanism that enables the robot to learn the relationship between environmental light signals and joystick movement commands.
3. To use four LDR sensors for detecting light from different directions, namely front, back, left, and right.
4. To train the robot using a joystick so that it can associate a particular light input with a corresponding direction of movement.
5. To enable the robot to automatically respond to environmental light stimuli after completing the training process.
6. To implement obstacle detection using an IR sensor and automatically stop the robot when an obstacle is detected.
7. To control the movement of the robot using DC motors interfaced with the PIC microcontroller.
8. To develop and implement the intelligent control algorithm using Embedded C language.

The main building blocks of the project are:

1. Regulated Power Supply.
2. PIC microcontroller
3. IR sensor
4. FOUR LDRs.
5. Joystick.
6. Motor driver
7. DC Motor.

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:

The main objectives of the project:

• Using of Wi-Fi wireless communication to monitoring with Ip camera.
• Finger print module-based authentication system.
• Obstacle detection using SR04 sensor.
• Audible alert through buzzer in case of wrong fingerprint.
• DC motors for robot moving.
• Visible alert using LCD display.
• Design of efficient invigilation robot.
• No need manpower.

The major building blocks of this project are:

• Battery Power supply.
• PIC Micro controller.
• LED Indicator.
• LCD display with driver.
• SR04 sensors.
• DC motors along with driver.
• IP Camera.
• Fingerprint module.
• Buzzer.
• Crystal oscillator.
• Reset button.

Software’s used:

1. PIC C compiling and dumping code into Microcontroller.
2. Express SCH for Circuit design.

Block Diagram:

video:

The Microcontroller is loaded with a program written in embedded ‘C’ language to perform the task. To perform this task microcontroller is loaded with an intelligent program written using embedded ‘C’ language.

The features of the project are:

1. IR sensor-based vehicle detection.
2. IOT based vacant slot monitoring system.
3. RFID based vehicle accessing and billing system.
4. Using Blynk mobile application to know the vacant slots.

The major building blocks of this project are:

1. Regulated Power Supply
2. PIC Micro Controller.
3. IR sensors.
4. RFID reader and TAGS.
5. ESP8266 Wi-Fi module.
6. Crystal oscillator.
7. Reset.
8. 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.

Block Diagram:

video:

The Arduino acts as the main controlling unit of the system. An appropriate light or IR sensing module is used to detect the presence and intensity of light from the headlights of an opposite vehicle. Based on the sensor input, the Arduino automatically controls the vehicle headlamp and changes it from high beam to low beam (dipper mode).

Night-time driving can be dangerous because the high-intensity headlights of approaching vehicles may cause glare and temporary visual impairment to drivers. This reduced visibility can increase the possibility of road accidents. In conventional vehicles, the driver has to manually switch between high beam and low beam headlights. However, manual operation may not always be convenient, particularly when the driver needs to concentrate on the road.

To overcome this problem, the proposed system provides automatic headlight intensity control. When the sensor detects intense light from an approaching vehicle, the Arduino automatically activates the dipper mechanism and switches the headlight from high beam to low beam. After the approaching vehicle passes and the intense light is no longer detected, the system can restore the headlight to its normal high-beam condition.

An LCD display can be used to indicate the operating status of the system, such as high beam, low beam, and vehicle detection status. Thus, the proposed Auto Dipper System provides a simple, reliable, and low-cost solution for improving night-time driving safety. By reducing glare and minimizing driver distraction, the system helps improve visibility and may reduce the risk of collisions and road accidents.

The main objectives of the proposed System:

1. To design and develop an automatic headlight dipping system for vehicles using an Arduino controller.
2. To detect the intense light coming from the headlights of approaching or opposite vehicles using an IR sensor.
3. To automatically switch the vehicle headlight from high beam to low beam when an opposite vehicle is detected.
4. To reduce glare and temporary vision impairment caused by high-intensity headlights during night driving.
5. To eliminate the need for manual operation of headlight dipping by the driver.
6. To improve driving comfort and visibility during night-time travel.
7. To reduce the possibility of road accidents caused by dazzling headlights.
8. To display the operating status of the automatic dipper system on an LCD display.
9. To provide a simple, low-cost, reliable, and efficient vehicle safety system using Arduino technology.
10. To enhance overall road safety by ensuring automatic and timely control of vehicle headlight intensity.

The main blocks of this project are:

• Regulated Power Supply.
• Arduino UNO.
• IR sensors
• LCD display.
• LEDs for headlights
• LED indicators.

Software’s used:

1. Embedded Linux programming.
2. Express SCH for Circuit design.

Block Diagram:

video:

We are living in a world where everything is automated and linked online. The internet of things, image processing and machine learning are evolving day by day. Many systems have been completely changed due to this evolve to achieve more accurate results. The attendance system is a typical example of this transition, starting from the traditional signature on a project sheet to face recognition.

In this project we are proposing an automatic attendance system which can be used in every organization to mark the attendance of employees. The main application of Automatic attendance system is seen in teaching institutions, where the attendance of students has to be regularly monitored on daily basis. The method developed provides a secure and effective attendance record. Automatic attendance system uses MATLAB.

The Major building blocks of this project are:

1. Laptop Camera.
2. PC/Laptop with Matlab.

Software’s used:

• MATLAB Software

Block Diagram:

video:

The main aim of the project is to design a biometric clock using Bluetooth technology with Android app. Instead of carrying a bunch of keys wherever you go, as you just have to use your fingerprint to unlock/lock the door through the Android App by using mobile phone. To Lock/unlock the door he/she need to enroll finger in that android app. Using GSM to send the alert message and to detect the unlock notification using read switch.

The controlling device of the project is Arduino microcontroller. Bluetooth module, Relay, Read switch, GSM is interfaced to Arduino microcontroller. When the user wants to lock/unlock the door, he/she need to place the finger in android app over Bluetooth. And these data is received by Bluetooth module which is attached to the Arduino. Then the Arduino lock/unlock the door through relay if the finger print is matched. If any unauthorized person wants to open the door, the read switch detects that and these data is sends to the arduino and the arduino send the SMS to the predefine mobile number through GSM. Finger Print is considered one of the safest key to lock or unlock any system as it can recognize any person uniquely and can’t be copied easily.

Main objective of this project:

• Finger print based real time security system.
• Using GSM TECHNOLOGY to send the alert message.
• To lock/unlock the door using android app over Bluetooth by using mobile phone.
• Gives an indication for unauthorized entry using READ SWITCH.
• Using Arduino to achieve this task.

The main building blocks of the project are:

• Arduino microcontroller.
• Regulated power supply.
• Bluetooth module.
• Relay.
• Solenoid lock.
• Android app.
• Read switch.
• GSM.

Software’s used:

1. Arduino IDE for compiling and dumping code into controller
2. Express SCH for Circuit design.

Block diagram:

video:

Objectives:

The main objectives of the Smart Shopping Cart System are:

1. To design and develop an intelligent shopping cart using Raspberry Pi and Pi Camera.
2. To reduce customer waiting time and long queues at supermarket billing counters.
3. To automatically identify products using image processing technology.
4. To provide options for adding and removing products from the shopping cart.
5. To display product details such as product name, weight, and price on the LCD.
6. To automatically calculate and update the total bill amount in real time.
7. To provide audio indication using a buzzer during product addition or removal.
8. To minimize manual billing operations and human effort.
9. To provide a fast, accurate, and user-friendly shopping experience.
10. To develop a low-cost automated billing system suitable for supermarkets and shopping centers.

The major building blocks of the project are:

1. Power supply.
2. Raspberry Pi processor.
3. Pi Camera
4. LED Indicator.
5. LCD display with driver
6. Buzzer
7. Selection switch.

Software’s used:

1. Embedded Linux programming.
2. Express SCH for Circuit design.

Block Diagram:

video:

Objectives:

The main objectives of the IoT-Based Smart Pillow System are:

1. To design and develop an intelligent smart pillow for improving sleep quality and patient comfort.
2. To monitor the sleeping position and body movements using the MPU6050 gyroscope sensor.
3. To upload and analyze sleeping data on the ThingSpeak cloud platform using IoT technology.
4. To detect snoring using a sound detection sensor.
5. To automatically activate a vibration motor and music system when snoring is detected.
6. To detect the presence of a person on the pillow using a touch sensor.
7. To automatically provide pleasant music for relaxation and improved sleep.
8. To provide manual control of the music system through an ON/OFF switch.
9. To enable remote monitoring of sleep-related parameters using the ESP8266 Wi-Fi module.
10. To develop a low-cost and user-friendly healthcare support system for elderly people, bed patients, and physically challenged persons.

The major building blocks of this project are:

1. Battery power supply.
2. Arduino Microcontroller.
3. Wi-Fi module.
4. Gyro sensor MPU6050
5. Sound detection sensor
6. Touch identification sensor
7. Vibration motors
8. Card Reader
9. MMC/SD card
10. MMC/SD card driver
11. Speakers.

Software’s used in the project:

1. Arduino IDE.
2. Express SCH for Circuit Design.

 Block Diagram:

video:

This technology, when combined with IoT, is able to provide intimation to the user about food products. It’s just like a food inspection technology. More precisely, our system consists of gas, temperature and humidity sensors, which provide the essential information needed for evaluating the quality of the packed product. This information is transmitted wirelessly through Wi-Fi to a computer system providing an interface where the user can observe the evolution of the product quality over time. To perform this intelligent task, using arduino is loaded with a program written in embedded ‘C’ language.

The main objectives of the project are:

1. By using this project, we can identify the quality of the packed product.
2. Sending intimation to the user using IOT.

The main building blocks of the project are:

• Power Supply.
• Arduino UNO.
• Methane gas sensor.
• DHT11
• ESP8266WI-FI module.

Software’s used:

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

Block diagram of the project:

video:

The system uses Light Dependent Resistor (LDR) sensors to detect the direction and intensity of sunlight. Based on the sensor readings, the microcontroller controls a servo motor to rotate or adjust the sunshade towards the appropriate direction, providing maximum protection from direct sunlight. A rain sensor is also incorporated to detect rainfall and automatically adjust or expand the sunshade to provide better coverage for passengers.

The microcontroller acts as the main controlling unit and continuously monitors the inputs from the LDR and rain sensors. According to the programmed conditions, it controls the motorized mechanism automatically without requiring human intervention. The system is programmed using Embedded C language. This proposed smart bus stop system improves passenger comfort, provides protection from sunlight and rain, and offers an efficient and automated solution for modern public transportation infrastructure.

Objectives:

  To design an automatic smart sunshade system for bus stops.

  To provide protection for passengers from direct sunlight.

  To automatically track the direction of sunlight using LDR sensors.

  To detect rainfall using a rain sensor.

  To automatically adjust the sunshade during rainy conditions.

  To control the sunshade movement using a servo motor.

  To reduce manual operation through automation.

  To improve the comfort and safety of passengers waiting at bus stops.

  To develop a low-cost and efficient smart public infrastructure system.

The main blocks of this project are:

1. Micro controller (PIC16F872).
2. Reset button.
3. Crystal oscillator.
4. Regulated power supply (RPS).
5. LED indicators.
6. Servo motor.
7. Rain sensor.
8. LDR.

Software 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: