jai krishna.ppt.pptx
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This document summarizes a student project to use drones for landslide monitoring. The project involves building a quadcopter drone with modules for flight control, GPS tracking, and image processing. Images captured by the drone's camera will be analyzed using MATLAB's image processing toolbox to monitor landslide-prone areas. Key components of the quadcopter include brushless motors, electronic speed controllers, a flight controller, propellers, a radio transmitter/receiver, battery, Raspberry Pi, Pi camera, and GPS. The working theory and principles of quadcopter flight are also explained.
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jai krishna.ppt.pptx
- 1. A Major Project Presentation on Landslide Monitoring Through Drones Babu Banarasi Das National Institute of Technology & Management Lucknow (U.P) By : Jai Krishna University Roll No : 1705431023
- 2. Abstract A drone or quadcopter can achieve vertical flight in a stable manner and be used to monitor or collect data where human intervention is not possible. Technological advances have reduced the cost and increase the performance of the low power microcontrollers that allowed the general public to develop their own quadcopter. The goal of this project is to build quadcopter and to monitor landslides prone areas & to obtain aerial images, gather and store GPS data, and perform landslide monitoring task using Image Processing.
- 3. Content ● Introduction ● Major Modules ● Drone Components ● Block diagram of Quadcopter ● Working Theory of Quadcopter ● Working Principle- Motor Rotation ● Quadcopter Layout ● Image Processing ● Image Processing-MATLAB Toolbox ● Features of MATLAB Toolbox ● Alternatives to MATLAB
- 4. Introduction A Drone or Quadcopter is a Vehicles have large potential for performing tasks that are dangerous or very costly for humans. Examples are the inspection of high structures, humanitarian purposes or search-and-rescue missions. One specific type of Drone is becoming increasingly more popular lately: the quadcopter. When visiting large events or parties, professional quadcopters can be seen that are used to capture video for promotional or surveillance purposes. A helicopter is a flying vehicle which uses rapidly spinning rotors to push air downwards,thus creating a thrust force keeping the helicopter aloft. Conventional helicopters have two rotors. These can be arranged as two coplanar rotors both providing upwards thrust, but spinning in opposite directions (in order to balance the torques exerted upon the body of the helicopter).
- 5. Major Modules ● Drone ● Flight control ● GPS route tracking/mapping ● Image Processing
- 6. Drone Components ● Brushless Motors ● ESC’s ● Flight controller ● Servo motors ● Propellers ● Radio Transmitter & Receiver ● Battery & Charger ● Raspberry Pi ● Pi Camera ● GPS ● Sensors
- 7. Block Diagram of Quadcopter
- 8. Working Theory of Quadcopter Quadcopter uses four propellers,each controlled by its own motor and ESC’s. For Hovering: – SUM(Fi) > m*g ---> climb – SUM(Fi) = m*g ---> hover – SUM(Fi) < m*g ---> decline
- 9. Working Principle - Motor Rotation
- 11. Image Processing ● Image Processing is processing of images using mathematical operations by using any form of signal processing for which the input is an image, a series of images, or a video, and the output of image processing may be either an image or a set of characteristics or parameters related to the image. ● Image processing usually refers to digital image processing, but optical and analog image processing also are possible. ● Closely related to image processing are computer graphics and computer vision. In computer graphics, images are manually made from physical models of objects instead of being acquired via imaging devices. Computer vision is considered high- level image processing out of which a machine/computer/software intends to decipher the physical contents of an image or a sequence of images.
- 12. Image Processing - MATLAB Toolbox Image Processing Toolbox provides a comprehensive set of reference-standard algorithms and workflow apps for image processing, analysis, visualization, and algorithm development. Post processing and analysis of both the video and physiological recordings are done using custom software written in MATLAB (The MathWorks, Inc.)
- 13. Features of MATLAB Toolbox ● Image Processing Toolbox supports a diverse set of image types. ● Image segmentation. ● Image enhancement . ● Noise reduction. ● Geometric transformations. ● Visualization functions and apps let you explore images and videos, examine a region of pixels, adjust color and contrast, create contours or histograms.
- 14. Alternatives to MATLAB ● Mathematica ● GNU Octave ● Scilab ● Scipy & NumPy
- 15. THANK YOU!!!