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1. TSSM’s PADMABHUSHAN VASANTDADA PATIL INSTITUTE OF TECHNOLOGY     DEPARTMENT OF ELECTRONICS AND TELECOMMUNICATION ENGINEERING      PRESENTATION ON  Major Project: “ Lidar Micro Drone with Proximity Sensor ” P resented by  NINAD UBALE           Roll no: 50 YASH PAWAR         Roll no: 36 KRISHNA GHUGE Roll no: 63 Guided By            Principal Head of Department Prof.Rashmi Belokar   Dr. R. S. Pawar Dr. S.M. Kulkarni Department of E&TC      PVPIT Bavdhan Department of E&TC      

2. CONTENTS Abstract Introduction Problem Statement Literature Survey Block diagram Circuit Diagram Components Requirement Methodology Advantages & Disadvantage Applications & Future Scope Result

3. ABSTRACT The LIDAR Micro Drone is an innovative unmanned aerial vehicle equipped with advanced sensors for proximity sensing and environmental data collection. In LIDAR, objects in the scene reflect infrared rays that are sent out by a transmitter. The time of flight (TOF) is used to construct a distance map of the scene's objects when the system receiver picks up the reflected light. Obstacles are seen in its area of view .

4. INTRODUCTION Introducing the LIDAR Micro Drone for Proximity Sensing, a cutting-edge aerial technology that combines a host of sensors to deliver precise and real-time environmental data. This micro drone is equipped with a VL53L0X sensor, a ESP32 Cam controller. The star of the show, the VL53L0X sensor, is a state-of-the-art LIDAR sensor that excels in proximity sensing. Its laser-based technology allows for highly accurate distance measurements, ensuring obstacle detection during the drone's flight, making it an ideal choice for both indoor and outdoor applications. If an obstacle is discovered, the controller decodes the LIDAR signal and turns on a siren and light to alert the user to the obstacle's proximity.

5. PROBLEM STATEMENT The expense of drones is the main problem with them. Drones are still a relatively uncommon item because they are often expensive to purchase and pose a significant danger of damage while in flight. LIDAR Micro Drone offers a versatile and powerful solution for proximity sensing and data collection , bridging the gap between advanced technology and user-friendly mobile interfaces.

6. SL NO. YEAR AUTHOR PAPER DESCRIPTION 1 2012 T. Yang C.H . Self-Organization Drone-Based Unnamed Aerial Vehicles Vision-based obstacle size estimation algorithm and distance estimation based on the LIDAR sensor. 2 2019 Mustapha B. Multiple sensor based Obstacle Detection System lightweight obstacle detection system for Micro Aerial Vehicles (MAVs). 3 2023 Ms. Shital Dharrao1 , Tanvi Bhamare LIDAR MICRO-DRONE WITH PROXIMITY SENSING This paper presents the design, development, and testing of a micro drone equipped with a LIDER sensor. LITERATURE SURVEY

7. BLOCK DIAGRAM

8. CIRCUIT DIAGRAM Fig : Circuit diagram of Lidar Micro Drone with Proximity Sensor

9. HARDWARE REQUIREMENTS: Arduino Pro Mini F3 EVO Controller LIDAR Module Buzzer LED Drone Motors Propellers Buttons & Switches Electrical & Wirings PCB Board Drone Body Connectors Screws and Fittings Joystick SOFTWARE REQUIREMENTS: Arduino IDE

10. METHODOLOGY The proposed methodology for a LIDAR micro drone equipped with a VL53L0X sensor. The LIDAR sensor (VL53L0X need to be appropriately integrated into the drone's design, ensuring they are securely attached and connected to a microcontroller, such as a ESP32 Cam. The experiment began with pre-flight checks, including sensor calibration and system checks, to ensure the drone and LIDAR sensor were functioning correctly. Next, the obstacle course was set up, consisting of cones, boxes, or small trees, and the drone was configured to use the obstacle avoidance algorithm being tested. The LIDAR sensor was then configured to transmit distance measurements to the flight control system. The ESP32 Cam will collect data from all the sensors and compile it into a single dataset. It will then establish a connection with a mobile application The mobile application will be designed to receive and display the data from the drone's sensors in a user friendly and intuitive interface.

11. ADVANTAGES Precise Proximity Sensing Real-time Data Collection Enhanced Safety Cost-Effective Solution DISADVANTAGES Limited Range Battery Consumption Weight and Payload Limitations

12. APPLICATIONS They are used for a wide range of applications like aerial photography, surveillance, and agriculture. Drones have a wide range of applications in various fields. They can be used for aerial photography, surveillance and agriculture purposes. Drones can be used for various purposes like monitoring the environment, search and rescue operations and disaster relief efforts. Drones can also be used to take photos or videos from an aerial perspective which is not possible with other equipment. A drone is a flying robot that can be remotely controlled or self-controlled. Drones are used for many tasks such as surveillance, military applications, and even for recreational purposes.

13. FUTURE SCOPE The future scope of LIDAR Micro Drones with proximity sensing includes: Autonomous Navigation : Integrate advanced navigation algorithms to enable autonomous flight in complex environments. Multi-Sensor Fusion: Combine LIDAR data with other sensors (e.g., cameras, GPS, IMU) for enhanced situational awareness. Swarm Robotics : Develop swarms of LIDAR-equipped micro drones for coordinated tasks like search and rescue or environmental monitoring. Indoor Mapping : Utilize LIDAR data to create detailed 3D maps of indoor. Aerial Surveillance : Employ LIDAR micro drones for aerial surveillance and monitoring in various industries (e.g., security, agriculture, infrastructure inspection).

14. RESULT

15. CONCLUSION The development and utilization of a LIDAR micro drone equipped with a VL53L0X sensor connected to a ESP32 Cam. It represents a significant advancement in proximity sensing technology. This innovative drone offers a versatile and highly precise solution for various applications, such as environment monitoring, infrastructure inspection, and industrial automation.

16. THANK YOU