The main objectives of this project are:

• Develop a Smart Cleaning Robot: Design an semi-autonomous cleaning robot capable of vacuuming, mopping, and dusting surfaces.
• Solar-Powered Operation: Utilize solar energy to charge the battery, reducing dependency on external power sources.
• Wireless Control: Enable control via an Android mobile phone using Bluetooth communication (HC-05 module).
• Efficient Cleaning Mechanism: Implement motor-driven brushes, a vacuum cleaner, and a water pump for thorough cleaning.
• Microcontroller-Based System: Use a PIC microcontroller to control various components efficiently.
• Automation & Indicators: Integrate LED indicators for status updates and relays for switching operations.

The major building blocks of this project are:

• Solar power.
• Charging circuit.
• Rechargeable Battery.
• PIC Microcontroller.
• Reset Button.
• DC Motors with driver.
• Vacuum cleaner.
• Brushes.
• Bluetooth.
• Relays.
• Water pump.
• Crystal oscillator.
• 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:

In this system, the operator provides movement commands through a MATLAB GUI running on a personal computer. The commands are transmitted wirelessly using a ZigBee transmitter module connected to the PC through a USB-to-TTL interface. The transmitted data is received by a ZigBee receiver module connected to the PIC microcontroller in the robotic section. Based on the received commands, the microcontroller controls the relay modules, which drive the DC motors responsible for the movement of the robotic arm joints and gripper mechanism.

The robotic arm performs various operations such as arm rotation, lifting, lowering, gripping, and releasing objects according to the commands received from the MATLAB GUI. LED indicators provide system status information, while a crystal oscillator ensures accurate microcontroller timing and operation. The wireless architecture eliminates the need for physical control cables, increasing flexibility and ease of operation.

The developed system provides a cost-effective, reliable, and user-friendly solution for wireless robotic manipulation. It demonstrates the integration of MATLAB-based control, ZigBee wireless communication, embedded systems, and robotic automation, making it suitable for industrial automation, hazardous environment handling, educational robotics, and research applications.

Objectives

1. To design and develop a wireless pick-and-place robotic arm for automated object handling applications.
2. To create a MATLAB-based Graphical User Interface (GUI) for easy and user-friendly control of the robotic arm.
3. To establish wireless communication using ZigBee modules between the PC and the robotic arm.
4. To control multiple DC motors through a PIC microcontroller and relay driver circuit for precise robotic arm movements.
5. To perform pick, move, and place operations remotely based on commands received from the MATLAB GUI.
6. To eliminate wired connections between the operator and the robot, thereby increasing operational flexibility and safety.
7. To provide a low-cost and efficient automation solution for material handling and industrial applications.
8. To demonstrate the integration of MATLAB, wireless communication, embedded systems, and robotics in a single automation platform.

The major building blocks of this project are:

1. Regulated Power Supply.
2. ZIGBEE Transmitter, Receiver.
3. PIC Micro Controller
4. DC Motors with Relays driver.
5. Robotic ARM.
6. Gripper.
7. Crystal oscillator.
8. LED indicators.
9. Reset Button
10. Metal frame.

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:

The Raspberry Pi Zero 2W is programmed using Python, with a smart control algorithm that processes user commands from the web interface and controls the robot accordingly. By utilizing solar energy as its primary power source, the robot ensures sustainable farming while reducing operational costs. This automated system helps improve agricultural productivity by automating repetitive and hazardous tasks, significantly reducing manual labor, and optimizing time management. With its web-based remote control, farmers can manage their fields conveniently without being physically present, making this project a modern, efficient, and eco-friendly solution for smart agriculture.

The main objectives of the project are:

• Automate weed cutting using a grass-cutting mechanism.
• Automate pesticide spraying to reduce human exposure to chemicals.
• Use solar energy for sustainable and eco-friendly operation.
• Enable remote control and monitoring through a web interface.
• Provide real-time video streaming using a Pi Camera.

The major building blocks of this project are:

1. Solar.
2. Charging circuit.
3. Battery Power Supply.
4. LM2596.
5. Raspberry Pi Zero 2W.
6. Pi Camera.
7. DC motors with driver.
8. Grass cutter.
9. Relays.
10. Pesticide motor.
11. Servo motor.
12. LED indicators.

Software’s used:

1. Python language.
2. Express SCH for Circuit design.

video:

Upon detecting an approaching vehicle, the ultrasonic sensors trigger the signal lights, alerting pedestrians to wait for a safe crossing opportunity. The system also includes a DC motor driver and motors for mobility, enabling the robot to navigate and position itself at crossing points. This innovative approach aims to enhance pedestrian safety by providing real-time assistance, thereby reducing accidents and improving traffic management. The project showcases a practical application of robotics and smart technology in urban environments, emphasizing the importance of safety in public spaces.

The objectives of the project include:

1. Design a road crossing robot.
2. Obstacle/object presence detection using Ultrasonic sensor.

The major building blocks of this project are:

1. Battery Power Supply.
2. PIC Micro Controller.
3. DC Motor with l293d motor driver.
4. Two Ultrasonic sensor.
5. Pi camera.
6. Pi zero 2w.
7. Signal lights.
8. Reset Button.
9. Crystal oscillator.
10. 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.
4. Raspbian OS.

Block Diagram:

video:

The system is controlled using an ESP32 microcontroller that manages sensor data, communication, and vehicle movement on a four-wheel robotic platform. Powered by a 12V battery, the vehicle offers reliable mobility and efficient operation in various environments. This project provides a smart and cost-effective solution for applications in security surveillance, military operations, disaster management, and remote monitoring systems.

The Major building blocks of this project are:

• ESP32 microcontroller.
• DC motor with L293D motor driver.
• ESP32 Camera.
• GPS.
• 12v,2amp Rechargeable Battery.
• LM2596.
• GAS sensor.
• Smoke sensor.
• Metal sensor.
• Buzzer.

Software’s used:

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

video:

The system operates by continuously monitoring the temperature and humidity levels inside the drying chamber using the DHT11 sensor. The Arduino UNO processes this data and controls a relay module to activate or deactivate the heater based on predefined threshold values. A DC motor rotates aluminum foil, which serves as a heat distributor, ensuring uniform heat application to the paddy seeds. This rotating mechanism prevents overheating and promotes even drying. The system remains operational until the target humidity level is achieved, after which the heater is automatically turned off to prevent excessive drying.

The LCD display provides real-time monitoring of temperature and humidity, allowing users to track the drying process. This automated and energy-efficient approach significantly improves drying efficiency, reduces labor requirements, and ensures optimal moisture content for seed storage and germination.

Features:

• Automated humidity and temperature control using a DHT11 sensor.
• Rotating aluminum foil mechanism driven by a DC motor for uniform heat distribution.
• Relay-controlled heater that operates based on predefined drying conditions.
• Real-time monitoring via an LCD display.
• Energy-efficient and time-saving solution compared to traditional drying methods.

The major building blocks of this project are:

• Power supply.
• Arduino UNO.
• DHT11(Temperature and Humidity) sensor.
• LCD display.
• DC motor-driven aluminum foil mechanism.
• L293d motor driver.
• Relay along with Heater.

Software’s used:

• ARDUINO IDE.
• Embedded C language.
• Express SCH for circuit design.

Regulated power supply:

video:

When a fall is detected, the NodeMCU immediately activates a relay circuit connected to a CO2 cartridge-based airbag mechanism. The compressed CO2 rapidly inflates the protective airbag, helping to reduce the impact of the fall and improving the safety of the person. An LED indicator is also provided to show the system status and fall detection alerts. The entire system is powered by a battery supply, making it portable and suitable for wearable applications. This project provides a smart, compact, and effective fall protection solution for elderly and physically vulnerable individuals, helping to improve personal safety and emergency protection.

Features

1. Detects sudden falls using MPU6050 gyroscope sensor.
2. Monitors body tilt and movement continuously.
3. Automatically activates airbag protection during fall detection.
4. Uses CO2 cartridge for fast airbag inflation.
5. NodeMCU controls the entire safety system.
6. LED indication for system status and alerts.
7. Portable and battery-powered design.
8. Improves safety for elderly and physically weak people.

The major building blocks of this project are:

1. Battery power supply.
2. NodeMCU.
3. MPU6050.
4. CO2 Cartridge.
5. Relay.
6. Air bag.

Software’s used:

1. Embedded C programming.
2. Arduino ide studio for dumping code into Micro controller.
3.  Express SCH for Circuit design.

video:

When the system detects potholes, humps, or uneven road conditions, it automatically stops the vehicle and alerts the driver through a buzzer. Simultaneously, the ESP32-CAM captures images of the affected road area and stores them on an MMC/SD card for future reference. All detected data, including images and GPS coordinates, are also stored on the SD card for analysis and maintenance purposes. The current system status and detected conditions are displayed on an LCD screen, providing real-time updates to the user. The entire system is programmed using Embedded C language, ensuring efficient and automated operation. This smart road condition monitoring and maintenance system can significantly improve road safety, support timely road maintenance, and reduce accident risks caused by damaged or uneven road surfaces.

Objectives

1. To design and develop a smart road condition monitoring system using Arduino Uno.
2. To detect potholes, humps, and uneven road surfaces using ultrasonic, IR, and MEMS sensors.
3. To capture images of damaged road conditions using the ESP32-CAM module.
4. To identify the exact location of road hazards using a GPS module.
5. To send alert messages with location details through a GSM module to registered users.
6. To automatically stop the vehicle and activate a buzzer alert when hazardous road conditions are detected.
7. To store captured images and road condition data on an SD/MMC card for future analysis and maintenance.
8. To display real-time road condition status on an LCD screen.
9. To improve road safety and reduce accidents caused by poor road conditions.
10. To assist road maintenance authorities in identifying and repairing damaged roads efficiently.

The Major Building blocks of this project are:

1. Battery Power Supply.
2. ARDUINO UNO Microcontroller.
3. LM2596.
4. GSM Modem.
5. GPS module
6. IR sensor
7. DC motors
8. Ultrasonic sensor
9. ESP32 camera
10. LED indicator.
11. ADXL345 accelerometer.
12. Relay.
13. LCD display.
14. Buzzer.

Software’s used:

1. Embedded C programming.
2. Arduino IDE for dumping code into Micro controller.
3. Express SCH for Circuit design.

video:

The main objectives of the project are:

  Design and Fabrication: Develop a robotic gripper with a WPVC-based robotic arm for lightweight and durable operation.

  Safe Handling of Fragile Objects: Ensure precise control of gripping force using servo motors to prevent damage to delicate items like glassware, electronics, and laboratory samples.

  Bluetooth-Based Control: Implement a Bluetooth module for remote control, allowing users to operate the robotic arm via a Smartphone or other wireless devices.

  Pick and Place Mechanism: Enable accurate and efficient object manipulation using servo-driven movements for industrial and domestic applications.

  Automation and Precision: Enhance repeatability and accuracy in handling fragile objects through microcontroller-based control logic.

  Structural Optimization: Utilize WPVC material for the robotic arm to achieve an optimal balance between strength, flexibility, and weight reduction.

  Versatile Applications: Develop a system applicable in manufacturing, packaging, medical handling, and laboratory automation, reducing human intervention and minimizing risks.

The main building blocks of the project are:

1. Power Supply.
2. Arduino UNO Microcontroller.
3. Android Smart phone.
4. Servo motor along with Robotic arm.
5. HC-05 Bluetooth modem.

Software’s used:

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

video:

While viewing the live video feed, the user can remotely control the robot’s movement, including up and down motion, as well as the gripper mechanism for opening and closing to securely hold the victim. The robot uses L298 motor drivers to control DC motors for precise movement and gripping actions.

High-power LEDs are used as headlights to provide illumination in dark underground conditions, and both the headlights and oxygen supply system can be controlled via the web interface. An oxygen pump, operated through a relay, ensures continuous oxygen supply to the trapped child, increasing survival chances.

Additionally, a DHT11 sensor is used to monitor temperature and humidity levels inside the borewell, and along with distance data, these parameters are displayed in real time on the web dashboard. This provides better situational awareness for rescue teams.

Artificial Intelligence techniques can be integrated for object detection and victim identification to enhance rescue efficiency. The system is powered by a battery with voltage regulation using an LM2596 module.

Overall, this project offers a safer, faster, and more efficient solution compared to traditional rescue methods, reducing risks to both victims and rescuers while demonstrating the practical application of robotics, IoT, and AI in emergency rescue operations.

The Objectives of the project include:

  To design a robot for rescuing children from bore wells safely.

  To provide live video monitoring using a camera.

  To control robot movement (up/down) and gripper (open/close) through a web interface.

  To supply oxygen to the trapped child using an oxygen pump.

  To control headlights and oxygen system remotely via the web.

  To measure distance using an ultrasonic sensor.

  To monitor temperature and humidity using a DHT11 sensor.

  To display all sensor data on a web dashboard in real time.

  To reduce rescue time and improve safety using automation and remote control.

The major building blocks of this project are:

• Battery.
• LM2596.
• SD card.

• Raspberry pi zero 2W.
• DC Motors with L298 driver. (UP/DOWN)
• Pi camera.
• Ultrasonic sensor.
• DHT11.
• Gripper.
• L298 driver with DC motors (OPEN/LOSE).
• High power LEDs.
• Oxygen Pump.

Software’s used:

• Python language.
• Linux OS.
• Image processing.
• WEB technology.

video: