The system works by emitting a laser beam across an area to be monitored, with the LDR positioned to detect the laser light. When an intrusion is detected, causing the laser beam to be interrupted, the LDR’s resistance changes, triggering the transistor to activate the ESP32-CAM. The ESP32-CAM captures an image or video of the intruder and sends an email alert to the user’s smart mobile device.

The email alert includes the captured image or video, providing visual confirmation of the intrusion. Additionally, a buzzer is activated to alert nearby individuals of the intrusion.

This system offers a cost-effective and efficient way to enhance home security, providing real-time alerts and visual evidence of intrusions to help ensure the safety and security of the home and its occupants.

Objectives:

• To develop a laser-based home security system for detecting unauthorized intrusions.
• To use a laser and LDR sensor to detect interruptions in the laser beam.
• To use the ESP32-CAM to capture images of detected intruders.
• To send real-time email alerts with captured images to the user’s mobile device.
• To activate a buzzer to alert nearby people during an intrusion.
• To provide a cost-effective, reliable, and efficient home security solution.

The major building blocks of this project are:

• Power supply.
• Esp32 cam.
• Transistor.
• Laser.
• LDR.
• Buzzer.

Software’s used:

1. ARDUINO IDE STUDIO compiler for Embedded C programming.
2. Express SCH for Circuit design.
3. IOT technology.

video:

This project introduces a novel fingerprint and Raspberry Pi-based voting system designed to enhance the security and efficiency of traditional voting processes. Utilizing a fingerprint module for voter identification, a Raspberry Pi serves as the central processing unit, managing the entire voting workflow. The system incorporates two switches for search and enrollment functionalities, streamlining the voter registration process. If the user presses the two switches at a time the system automatically reset, so that users can enroll easily. Additionally, four switches are allocated for voters to cast their ballots for different parties. The system ensures transparency by allowing the first voter to view preliminary results, while subsequent voters are restricted to casting their votes only. A reliable power supply and an LCD display are integrated to ensure uninterrupted operation and provide real-time feedback to users. This innovative system aims to provide a secure, user-friendly, and efficient alternative to conventional voting methods.

The main objectives for the project are:

1. Implementing a secure fingerprint identification system for voter authentication.
2. Developing a user-friendly interface with Raspberry Pi for managing the voting process.
3. Integrating switches for search, enrollment, and party selection to facilitate voter interaction.
4. Incorporating real-time results display for the first voter while ensuring confidentiality for others.
5. Ensuring uninterrupted operation through a reliable power supply and providing feedback via an LCD display.

The Major Building Blocks for This Project:

1. Raspberry pi.
2. Switches.
3. Lcd display.
4. Power supply.
5. Finger print module.

Software’s used:

1. Python programming.
2. Raspbian OS.
3. Express SCH for Circuit design.

video:

The core functionality involves the user inputting the desired quantity via the keypad, which is then displayed on the LCD. The DC actuator, controlled by the Arduino via the relay, dispenses fluid in calibrated pulses. The load cell and HX 711 combination accurately measures the dispensed quantity, ensuring precise delivery.

This system aims to provide a cost-effective and versatile solution for automated dispensing applications, integrating hardware components with Arduino programming for seamless operation. Potential applications include automated beverage dispensers, chemical mixing processes, and pharmaceutical production lines where accurate dosing is critical.

Objectives:

• To design and develop an Automatic Pulse Dispenser (APD) for accurate and controlled liquid dispensing.
• To use an Arduino Uno as the main controller for processing user inputs and controlling the dispensing operation.
• To allow users to enter the desired liquid quantity through a keypad.
• To display the selected quantity, measured weight, and dispensing status on an LCD.
• To control the DC actuator through a relay for automated liquid dispensing.
• To integrate a load cell with the HX711 amplifier to measure the dispensed quantity accurately.
• To implement a feedback-based dispensing mechanism that stops the actuator when the target quantity is reached.
• To reduce manual effort, minimize liquid wastage, and improve dispensing accuracy.
• To develop a cost-effective and versatile system for applications such as beverage dispensing, chemical mixing, and pharmaceutical dosing.

The major building blocks of this project are:

• Power supply.
• Arduino UNO.
• Relay
• Keypad
• Load cell
• HX 711
• DC Actuator
• LCD display.

    Software’s used in the project:

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

video:

The aim of the project is to solve traffic congestion, to solve the problem; we have designed a framework for a dynamic and automatic traffic light control system and developed a model with codes to help building the system on hardware. It is possible to propose dynamic time-based coordination schemes where the green signal time of the traffic lights is assigned based on the present conditions of traffic. The Raspberry Pi receives data from the PIC microcontroller, processes the data, and sends the calculated time delay back to the PIC microcontroller for control operation.

In this project, when more vehicle density is identified by the IR sensors in a particular side, then green light gets ON automatically. It remains in ON state for a predefined amount of time. After the predefined amount, the signal turns to red. Also we have ambulance with RF and selection switches. Ambulance driver has to inform to the traffic signal section about his direction of arrival by selecting the switches, then RF modules at both the sections communicate and PIC Microcontroller at the traffic signal end will turn ON the green Signal of the particular direction. PIC micro controller used here is programmed by Embedded C language.

The main objective of this project is:

1. Automatic traffic lights control.
2. Traffic density can be known by using IR sensors.
3. Three levels to indicate Traffic density.
4. Ambulance based automatic traffic light control.
5. Using RF technology and selection switch to indicate the direction of ambulance.
6. Using PIC Microcontroller and Raspberry Pi to achieve this task.

The major building blocks of this project are:

1. Regulated power supply.
2. IR Sensors
3. RF transmitter and receiver.
4. PIC (16F877A) Micro controller.
5. Raspberry pi.
6. Reset Button.
7. Crystal
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 cold and hot climate conditions in the high north represents, Threat of safety and work performance of soldier. The jacket will provide better protection to them and it will help to reduce loss of human life. In addition to that if the person is not feeling well that person can press a switch so that the concerned person will get a message. By using this jacket, the user can control and monitor the internal temperature inside the jacket by using fan and heater mounted within jacket. It consists of temperature sensor to detect the temperature, panic switch, battery and GSM modules. All these devices are controlled by Arduino. This information of temperature sensor can be used in enhanced safety and as an improved tool to advice outdoor work control for soldier in climate conditions. So that the specially designed “Safety purpose Jacket using Arduino” will give better protection to the person who is working in extreme weather conditions.

Objectives:

• Design an e-uniform for soldiers.
• GSM based sending alert SMS.
• Automatic temperature detection and controlling at inside the jacket.
• Per can send the alert SMS using panic button.
• To achieve this task using Arduino microcontroller.

The major building blocks of this project are:

1. Adapter power supply.
2. Arduino UNO Micro controller.
3. IR Senor.
4. Relay.
5. LCD display.

Software’s used:

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

Block Diagram:

video:

This innovative system utilizes a Raspberry Pi-based central hub, which connects to an array of sensors distributed across the aircraft. These sensors continuously gather real-time data on pressure, temperature, gas levels, and humidity. The collected data is securely encrypted using the AES algorithm before being transmitted to a cloud-based platform. The cloud platform not only stores the encrypted data but also provides real-time analysis and alerts for irregularities in flight parameters.

By implementing AES encryption, the system safeguards the confidentiality and integrity of flight data, preventing unauthorized access and tampering. This encryption ensures that only authorized personnel can access and decipher the critical flight parameter information stored in the cloud.

The “Flight Parameter Monitoring and Alerting System by IoT” enhances aviation safety by not only providing real-time insights but also by prioritizing the security of sensitive flight data. This system represents a significant step forward in aviation technology, ensuring both the safety and confidentiality of flight parameter monitoring, which is essential in the modern era of aviation.

Features:

1. Real-time Parameter Monitoring: Continuously monitors critical flight parameters including pressure, temperature, gas levels, and humidity, providing real-time data insights.

2. Advanced AES Encryption: Utilizes the robust Advanced Encryption Standard (AES) algorithm to protect flight data, ensuring secure transmission and storage in the cloud.

3. Cloud-based Analysis and Alerts: Employs a cloud-based platform for data storage and analysis, generating instant alerts for any irregularities in flight parameters.

4. Enhanced Aviation Safety: Integrates IoT technology to enhance aviation safety and confidentiality, offering a comprehensive solution for monitoring and securing vital flight parameter data.

The major building blocks of this project are:

• R P S
• Raspberry Pi3 Processor.
• SD Card.
• Pressure sensor Bmp180
• LED indicators.
• DHT11
• Gas sensor
• LCD
• Buzzer
• Wi-Fi.

Software’s used:

1. Python Language.
2. Raspbian OS.

video:

The jacket’s battery ensures continuous operation in remote and demanding environments, powering a suite of sensors that monitor temperature, humidity, gas levels, and vital signs crucial for miners’ safety. The Arduino UNO processes data from these sensors, triggering alerts through the buzzer and displaying critical information on the LCD display.

By providing early warnings of hazardous conditions such as high gas levels or unsafe environmental parameters, the Smart Jacket empowers miners with timely information to make informed decisions and take necessary precautions. This technology not only mitigates risks associated with coal mining but also improves response times during emergencies, ultimately fostering a safer working environment for coal miners.

The main objectives of the project are:

• Enhance safety by monitoring environmental conditions and detecting hazardous gases.
• Provide real-time health monitoring of miners to prevent health-related incidents.
• Issue immediate alerts and warnings to miners in case of dangerous situations.
• Improve overall operational efficiency and emergency response capabilities in coal mining environments.

The main building blocks of the project are:

1. Battery
2. DHT-11
3. Arduino UNO.
4. MQ-05
5. MAX 30100
6. Buzzer
7. LCD display.

Software’s used:

1. Arduino IDE studio compiler for dumping program.
2. Express SCH for Circuit design.

video:

The NodeMCU acts as the main controller of the system. Two relays are interfaced with the NodeMCU to control two lights, while two transistors are used as switching devices to control a fan and a buzzer. The Blynk application provides a user-friendly interface with buttons for controlling each appliance. When the user presses a button in the application, the command is transmitted through the internet to the NodeMCU via Wi-Fi. The NodeMCU processes the received command and controls the corresponding relay or transistor to switch the connected appliance ON or OFF.

The relays operate as electrically controlled switches, allowing the NodeMCU to control the lights safely through suitable driver circuitry. The transistors act as electronic switches for controlling the fan and buzzer, with appropriate driver components where required. An LCD is interfaced with the NodeMCU to display the real-time ON/OFF status of the connected appliances. Thus, the proposed system provides convenient, wireless, and efficient control of home electrical appliances using IoT technology.

 The objectives of the project include:

• Controlling home alliances through Blynk app.
• To Control the devices using Wi-Fi technology.
• Load status can monitor on LCD.
• Relays based device switching.
• Using NodeMCU module to achieve this task.

The main building blocks of the project are:

• NodeMCU.
• 2 RELAY BORD.
• 2 transistor board.
• 4 Appliances (bulb, light, fan, buzzer).
• LCD display.

Software’s used:

1. Arduino IDE studio compiler to write the program.
2.  Express SCH for Circuit design.
3. Blynk APP.

video:

Features:

1. Automatic braking system.
2. Object identification through Ultrasonic sensor.
3. Buzzer based alarming system.

The Major Building blocks of this project are:

• Battery Power Supply.
• PIC Microcontroller.
• Ultrasonic sensor.
• DC motor with Relay driver.
• LED Indicators.
• Buzzer with driver.
• Crystal Oscillator.
• Reset Button.
• LED Indicator.

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 ultrasonic sensor continuously measures the distance between the wheelchair and nearby obstacles. The measured distance is processed by the microcontroller and transmitted to a Bluetooth-connected smartphone application, where the obstacle distance is displayed in real time. When an obstacle is detected within a predefined safety distance, the microcontroller automatically stops the wheelchair by controlling the DC motor driver, thereby helping to prevent collisions. Once the obstacle is cleared and the path is safe, the wheelchair can resume movement through the appropriate control mechanism. The Bluetooth module enables wireless communication between the wheelchair and the smartphone, while LED indicators provide additional visual status information.

This system offers a cost-effective and user-friendly solution for enhancing wheelchair safety through real-time obstacle distance monitoring and automatic obstacle avoidance. The proposed design can reduce the risk of accidents, improve user confidence, and support safer independent mobility.

Objectives:

1. To detect obstacles using an ultrasonic sensor.
2. To measure the distance between the wheelchair and obstacles.
3. To display obstacle distance on a Bluetooth smartphone application.
4. To stop the wheelchair automatically when an obstacle is detected within a safe distance.
5. To improve wheelchair safety and prevent collisions.
6. To provide a simple and user-friendly wheelchair control system.

The Major building blocks of this project are:

1. Battery Power Supply.
2. Arduino UNO Microcontroller.
3. L298 Motor Driver.
4. DC motors.
5. SR04 Ultrasonic sensor.
6. HC-05 Bluetooth Module.

Software’s used:

1. Arduino IDE studio compiler for dumping program.
2. Express SCH for Circuit design.

Block Diagram:

video: