The turret can be controlled wirelessly through a web page using a smartphone or any internet-enabled device from anywhere in the world. An ESP32-CAM module captures and streams live video to the user, allowing real-time monitoring and accurate control of the turret. A laser light is also controlled wirelessly for targeting purposes. The SR04 ultrasonic sensor is used for obstacle detection, while the DHT11 sensor measures temperature and humidity values, which are displayed on an LCD and uploaded to the web page through IoT. The ESP32 module continuously communicates with the Arduino Nano to execute control commands. The entire system is programmed using Embedded C language. This project demonstrates the integration of IoT, robotics, wireless communication, and embedded systems for smart remote surveillance and control applications.

Objectives:

1. To design and develop an IoT-based wireless gun turret system for remote surveillance and control.
2. To control the turret movement in UP-DOWN and LEFT-RIGHT directions using servo motors.
3. To implement a firing mechanism using DC motors and servo motors for dart launching.
4. To provide wireless control of the turret through a web page using a smartphone or internet-enabled device.
5. To integrate the ESP32-CAM module for live video streaming and real-time monitoring.
6. To control laser light and turret operations remotely through Wi-Fi communication.
7. To detect nearby obstacles using the SR04 ultrasonic sensor for safety and monitoring purposes.
8. To measure and monitor environmental temperature and humidity using the DHT11 sensor.
9. To display sensor data on an LCD and upload the values to a web page through IoT technology.
10. To establish communication between the ESP32 module and Arduino Nano for efficient system control.
11. To program the complete system using Embedded C language for reliable operation.
12. To develop a compact, low-cost, and smart surveillance system using embedded and IoT technologies.

The major building blocks of this project are:

1. Li-Ion Battery power supply.
2. Arduino Nano.
3. ESP32 CAM.
4. Two LM2596 buck converter modules.
5. Three servo motors.
6. Two DC motors.
7. DHT11(temperature sensor).
8. SR04 Ultrasonic sensor.
9. LASER light.

Software’s used in the project:

1. ARDUINO IDE.
2. Embedded C language.
3. Express SCH for Circuit Design.

video:

The GPS is the acronym for Global positioning system. This GPS receiver is capable of identifying the location in which it was present in the form of latitude and longitudes. This information is very useful and can be processed for alerting the boat drivers. The GPS gives the data received from the satellites. For this information the GPS communicates with at least three satellites in the space.

In this Project presents an automotive localization system using GPS and IOT technology. Solar energy is obtained stored into the rechargeable Battery through charging circuit and this Battery power is used to moves the vehicle (Train). By using LM2596 module we can convert 12 battery voltage into 5vDC which is used to provide the power supply to the Arduino along with all input and output modules.

In this project, let us consider the two tracks; each track will have one IR sensor. Like these two tracks have 2 IR sensors. Whenever there is a crack on the track, then the IR sensor senses that and gives its output to the ARDUINO microcontroller. This tracking system is composed of a GPS receiver, Microcontroller and an ESP8266 WI-FI Module. GPS Receiver gets the location information from satellites in the form of latitude and longitude. The Microcontroller processes this information and this processed information is upload into the thingspeak cloud through ESP8266 WI-FI module. Whenever, train detects obstacle it will activate the Buzzer for alerts and stop the vehicle automatically. The status of the project will display on LCD module. To achieve this task microcontroller loaded program written in embedded C Language.

The main objectives of the project are:

1. Design solar and IOT based railway track crack detection.
2. Automatic railway track crack detection and intimation through IOT cloud.
3. Automatic detection of obstacles and engine locking system.
4. Audible alerts using Buzzer.
5. Visible alerts using LCD display.

The main building blocks of the project are:

1. Solar panel.
2. Charging circuit.
3. Battery Power Supply.
4. Arduino UNO Microcontroller.
5. GPS receiver.
6. Ultrasonic Sensor.
7. IR sensors.
8. Relay.
9. DC motors.
10. Buzzer.
11. Esp8266 wi-fi module.

Software’s used:

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

Block Diagram:

video:

Users can view the live feed of the robot and control its movement remotely via a web-based interface. If an obstacle is detected, the robot halts automatically to prevent collisions, ensuring safe movement in its environment.

Before measuring health parameters, the robot displays a message: “PLACE THE FINGER” on its screen. Only after the patient places their finger on the sensor, the robot begins reading the heart rate, SpO2 levels, and temperature. The measured data is then displayed on the LCD and uploaded to the web browser for remote monitoring by doctors and caregivers.

The system is powered by a 12.2Ah battery, regulated through an LM2596 module, and employs a DC motor driver for controlled movement. A display module provides real-time feedback, while an LED indicator signals critical alerts. This project enhances remote patient monitoring and autonomous navigation, reducing the need for physical consultations while ensuring a safer and more efficient healthcare solution.

Objectives of the project:

• Live Streaming & Remote Control – Enable users to view live video from the robot and control its movement via a web-based interface.
• Health Monitoring – Measure heart rate, SpO2, and temperature using sensors and display the data on an LCD screen and web browser.
• User Interaction – Display a message “PLACE THE FINGER” before starting health measurements to guide the patient.
• Automatic Obstacle Detection – Stop the robot automatically if an obstacle is detected to ensure safe navigation.
• Data Transmission – Upload health data to a webpage for remote monitoring by doctors and caregivers.
• Power Management – Use a 12.2Ah battery with LM2596 to ensure stable power supply for all components.

The major building blocks of the project are:

• Battery power supply
• LM2596.
• ESP32 camera module.
• MAX30100SENSOR (heartbeat and spo2).
• Temperature Sensor.
• DC motors with L293d.
• Arduino nano.
• Ultrasonic sensor.
• LCD display.
• LED indications.

Software’s used:

• Embedded C programming.
• Arduino IDE programmer for dumping code into Micro controller.
• Express SCH for Circuit design.
• IOT technology.

video:

The Raspberry Pi Zero 2W section serves as the main processing and safety module. It interfaces with a Pi Camera, SD card, Sound Sensor, and Panic Switch for real-time monitoring and alert generation. In emergency situations, such as when the panic button is pressed or the sound sensor detects distress, the Raspberry Pi captures video footage through the Pi Camera, sends an alert SMS to predefined mobile numbers via the GSM module, and simultaneously emails the recorded video to a registered email address and also activate the Buzzer for alerts. Communication between the Arduino and Raspberry Pi is achieved using LoRa technology, which enables long-range, low-power data exchange to coordinate and control streetlights on both sides of the road. The status of the project will display on LCD.

This dual-controller approach effectively integrates smart lighting automation with women’s safety mechanisms, achieving efficient power management, responsive communication, and proactive emergency alerts, thereby contributing to safer and smarter urban environments.

The main objectives of the project are:

  To design an intelligent street lighting system that adjusts light intensity automatically based on environmental conditions and pedestrian movement.

 To ensure women’s safety through real-time monitoring and emergency alert features.

 To integrate GSM and Email communication for instant alert transmission during panic situations.

  To enable efficient communication between Arduino and Raspberry Pi using LoRa technology.

  To achieve significant energy savings by operating lights at variable intensities during different time periods.

The main building blocks of the project are:

• Adapter power supply.
• Arduino Nano.
• Raspberry pi Zero 2W.
• Panic switch.
• GSM.
• LDR.
• PIR.
• Ultrasonic Sensor.
• Street Lights.
• LCD display.
• Buzzer.
• Sound sensor.
• Pi camera.
• SD card.
• LoRa Modules.

Software’s used:

1. Arduino IDE for compiling and dumping C code into Microcontroller.
2. Raspbian OS.
3. Python Language.
4. Express SCH for Circuit design.

Block diagram:

video:

This system is built around an ESP32 microcontroller that continuously collects and processes data from multiple onboard sensors. An MPU6050 gyroscope monitors ship tilt and orientation across the X, Y, and Z axes to ensure stability during operation. A load cell measures weight variations to detect imbalance or overload conditions, while an ultrasonic sensor (SR04) identifies nearby obstacles to prevent collisions and ensure safe navigation.

The ship’s propulsion is controlled using dual DC motors driven by an L298 motor driver, enabling directional movement via a web-based interface. Additionally, an oil spill collection mechanism is integrated using a belt-driven DC motor controlled through a MOSFET switching circuit. This allows remote activation of the oil collection belt to gather surface oil contaminants efficiently.

All critical parameters — including ship orientation, obstacle distance, load weight, propulsion movement, and oil belt status — are transmitted in real time to a web dashboard via ESP32 Wi-Fi connectivity. This enables remote monitoring and control of ship navigation and pollution management systems from any location.

Powered by a Li-ion battery system, the proposed design promotes sustainable marine operations by combining smart navigation safety with environmental cleanup functionality. The system provides a low-cost, scalable solution for future autonomous marine vessels focused on both operational safety and ecological preservation.

Objectives:

 To monitor ship stability in real-time:
Using the MPU6050 gyroscope to measure tilt and orientation along X, Y, and Z axes to prevent imbalance and ensure safe navigation.

 To detect obstacles and avoid collisions:
By integrating an ultrasonic sensor (SR04) to measure the distance of nearby objects in the ship’s path.

 To measure onboard load conditions:
Using a load cell to monitor weight distribution and detect overload or imbalance situations.

 To enable remote ship navigation:
Controlling propulsion motors through a web-based interface using ESP32 Wi-Fi connectivity.

 To integrate an automated oil spill collection system:
Operating a belt-driven oil collector using a MOSFET-controlled DC motor.

 To provide real-time web monitoring:
Displaying ship tilt (XYZ axis), obstacle distance, load weight, movement status, and oil belt operation on a live dashboard.

 To enhance marine safety:
By continuously monitoring ship movement and environmental conditions.

 To support environmental protection:
Through efficient detection and collection of oil spills from water surfaces.

 To develop a smart and energy-efficient system:
Powered by a Li-ion battery for sustainable marine operations.

 To create a low-cost IoT-based smart ship model:
That combines safety monitoring with pollution control.

The major building blocks of this project are:

• Li-ion Battery Power supply.
• ESP32.
• Ultrasonic sensor.
• Mpu6050 Gyro scope.
• Load cell.
• DC Motors with L298.
• DC motor for belt movement.

Software’s used:

• ARDUINO IDE.
• Embedded C language.
• WEB Technology.

Block Diagram:

video:

The project aims in designing an IOT based food delivery robot which is operated wirelessly through smart phone using IOT technology.

This is the internet of things (IOT) based project, where we are particularly uses the Esp32 camera, head light and two DC motor along with l293d motor driver.

The ESP32 cam will capture live data with regards to its surroundings and then send it to a particular IP address through internet. User can access this device using mobile phone and while seeing the video user will control the robotic vehicle along with headlight and door lock from webpage.

This robot consist of ultrasonic sensor which uses to detect the obstacles in its path and switches ON the blue lights for alerts. This robot consist of one more feature is uses to detect the theft and alerts through buzzer.

After reaches the destination robot will ask the password .Use need to enter the correct password though keypad .If it is correct the door will open to collect the food after some time the door will close automatically. The status of the project will display on LCD.

The main controlling device of the project is PIC microcontroller which loaded program written in embedded C language.

The objectives of the project include:

• IOT based food delivery robot.
• Controlling robot, head light and door lock from web browser
• ESP32 camera based surveillance system.
• Keypad based password entering system.
• Obstacle detection and switching ON the blue lights.
• Theft detection and Alerting through Buzzer.
• Visible alerts using LCD display.
• To achieve this task using PIC Microcontroller.

The major building blocks of this project are:

• Rechargeable battery.
• ESP32 Camera.
• DC Motor with L293D driver.
• Blue light.
• Head light.
• Ultrasonic sensor.
• DC motor with l298 driver.
• Buzzer.
• Keypad.
• PIC Microcontroller.
• LCD display.

Software’s used:

1. Arduino IDE for compiling and dumping code into ESP32 Camera.
2. PIC-C compiler for Embedded C programming.
3. PIC kit 2 programmer for dumping code into Micro controller.
4. Express SCH for Circuit design.

video:

The robot’s mobility is controlled via DC motors driven by an L298 motor driver, with an additional motor managing the door’s opening and closing based on rain sensor input. A speaker provides voice alerts to enhance interaction and safety. The robot is powered by a rechargeable battery regulated by an LM2596 voltage regulator and supported by a charging circuit.

while moving forward, when the robot detects obstacles or rain, it sends SMS alerts with the current GPS location through a GSM module, ensuring real-time updates to the user. The system features a web interface that allows users to start the robot, initiate QR code scanning, view live streams, and monitor order count and serial numbers dynamically as the robot scans items during delivery.

This design highlights the integration of Raspberry Pi with sensors, communication modules, and web interfaces to develop a low-cost, efficient, and socially interactive delivery robot suitable for indoor and controlled environments.

Objectives:

• Integrate Raspberry Pi 3 with sensors such as ultrasonic, IR, rain sensor, and GPS for navigation and environment sensing.
• Implement a Pi Camera for live streaming and QR code scanning to identify delivery items.
• Control DC motors for robot movement and door operation using an L298 motor driver.
• Develop a communication system using GSM to send SMS alerts with location in case of obstacles or rain detection.
• Create a web interface for remote control, live monitoring, QR code scanning activation, and order management.
• Ensure power management with a rechargeable battery and charging circuit.

The major building blocks of this project are:

• Battery.
• Raspberry Pi.
• Pi Camera.
• IR Sensor.
• Ultrasonic Sensor.
• GSM
• GPS
• Speaker.
• Rain Sensor.
• L298 With DC Motors.
• Door
• SD Card.
• Charging Circuit.
• LM2596

Software’s used:

• Raspbian OS.
• TinyML and deep learning techniques

Software’s used:

1. Express SCH for Circuit design.
2. Raspbian OS, Python language.
3. Web technology.

video:

The project aims in designing an IOT based food delivery robot which is operated wirelessly through smart phone using IOT technology.

This is the internet of things (IOT) based project, where we are particularly uses the Esp32 camera, head light and two DC motor along with l293d motor driver.

The ESP32 cam will capture live data with regards to its surroundings and then send it to a particular IP address through internet. User can access this device using mobile phone and while seeing the video user will control the robotic vehicle along with headlight and door lock from webpage.

This robot consists of ultrasonic sensor which uses to detect the obstacles in its path and switches ON the blue lights for alerts. This robot consists of one more feature is used to detect the theft and alerts through buzzer.

After reaches the destination robot will ask the password. Use need to enter the correct password though keypad. If it is correct the door will open to collect the food after some time the door will close automatically. The status of the project will display on LCD.

The main controlling device of the project is PIC microcontroller which loaded program written in embedded C language.

The objectives of the project include:

• IOT based food delivery robot.
• Controlling robot, head light and door lock from web browser
• ESP32 camera-based surveillance system.
• Keypad based password entering system.
• Obstacle detection and switching ON the blue lights.
• Theft detection and Alerting through Buzzer.
• Visible alerts using LCD display.
• To achieve this task using PIC Microcontroller.

The major building blocks of this project are:

• Rechargeable battery.
• ESP32 Camera.
• DC Motor with L293D driver.
• Blue light.
• Head light.
• Ultrasonic sensor.
• DC motor with l298 driver.
• Buzzer.
• Keypad.
• PIC Microcontroller.
• LCD display.

Software’s used:

1. Arduino IDE for compiling and dumping code into ESP32 Camera.
2. PIC-C compiler for Embedded C programming.
3. PIC kit 2 programmer for dumping code into Micro controller.
4. Express SCH for Circuit design.

video:

This project proposes a smart BMS for electric vehicles using an Arduino UNO microcontroller to monitor key battery parameters such as voltage, current, and temperature. The system integrates multiple sensors along with safety features like fire detection and accident detection using a MEMS sensor. In case of an accident, the GPS and GSM modules are used to track the vehicle location and send alert messages to predefined contacts.

Additionally, the system enables real-time monitoring by displaying parameters on an LCD and uploading data (voltage, current, temperature, location, and time) to the ThingSpeak cloud via an ESP8266 Wi-Fi module. An ultrasonic sensor is used for obstacle detection, and alerts are provided through a buzzer and display.

Overall, the proposed system ensures safe battery operation, real-time monitoring, and enhanced vehicle safety through IoT and embedded technologies, making it suitable for advanced electric vehicle applications.

The main objectives of this project are:

• To design a smart IoT-based system for automatic vehicle accident detection.
• To develop a rescue alert mechanism that sends location and emergency messages using GPS and GSM.
• To implement a Battery Management System (BMS) for monitoring EV battery parameters like voltage, current, and temperature.
• To ensure safe battery operation by preventing overcharging, overheating, and overcurrent conditions.
• To integrate real-time data monitoring using IoT (ESP8266 with ThingSpeak).
• To design a charger monitoring system for efficient battery charging control.
• To display system parameters and alerts using an LCD and buzzer.
• To detect vehicle accidents using MEMS sensor and trigger immediate response.
• To enhance vehicle safety with additional sensors like fire and obstacle detection.
• To develop a low-cost, reliable, and user-friendly system for smart electric vehicles.

The major building blocks of this project are:

• Li-ION Battery.
• LM2596.
• ARDUINO UNO Microcontroller.
• Temperature sensor.
• Voltage sensor.
• Current sensor.
• Charging Circuit.
• LCD display.
• MEMS sensor.
• Fire sensor.
• Ultrasonic sensor.
• Buzzer.
• GSM.
• GPS.
• ESP8266 WI-FI module.
• DC motor (vehicle).

Software’s used:

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

video:

In day-to-day life road accidents goes on increasing due to varies reasons. Some road accidents may cause due to chasing between two vehicles. We avoid these kinds of accidents by providing some precautionary methods using ultrasonic sensors.  Ultrasonic sensors generate high frequency sound waves and evaluate the echo which is received back by the sensor. These sensors calculate the time intervals between sending the signal and receiving the echo to determine the distance to an object. If the distance of the vehicle is too small then this vehicle is automatically control the speed of the vehicle which avoids the potential risk of the accident.

The main controlling device of the system is a Microcontroller. Ultrasonic sensor, buzzer and DC motors along with l293d motor driver are interfaced to Microcontroller. The microcontroller gives an alarm if distance is less than predefined limit from obstacle. If the sensor detect obstacle this data is fed as input to the micro control and microcontroller stop the vehicle ignition automatically. Here relay works as a switch to on/off the ignition. To perform the intelligent task, Microcontroller is programmed using embedded ‘C’ language.

Features:

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

The project makes us learn about:

1. Ultrasonic sensor characteristics.
2. DC motor working principle and need for a motor driver.
3. Embedded C programming.
4. PCB designing.

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.

Regulated Power Supply:

 BLOCK DIAGRAM:

video: