Raspberry Pi Based Road Side Detection And Tracking

Also Available Domains Raspberry pi|WSN

Project Code :TEMBMA1245

Objective

In this project, we are able to detect the tracks using opencv and raspberry pi. By this we can make a self-controlled car that follows the lane. Here we are using raspberry pi and a camera for detecting lanes and the frame will be displayed on the monitor.

Abstract

In this project, we are able to detect the tracks using opencv and raspberry pi. By this we can make a self-controlled cars that follows the lane.

Present days, the self-controlled cars are more famous that they are automatically moving though no one is controlling or giving commands through any application.

Here we are using raspberry pi and a camera for detecting lanes and the frame will be displayed on the monitor.

Keywords: Lane detection, tracking, Opencv.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Hardware Requirements:

  • Raspberry Pi
  • Micro SD card
  • 5V Adapter
  • Camera

Software Requirements:

  • NOOBS software
  • VNC Viewer
  • Python3 IDLE

Learning Outcomes

  • Raspberry pi Pin diagram
  • Raspberry pi Architecture
  • How to install NOOBS Software
  • Basic coding in python
  • How to interface camera with Raspberry pi?
  • How to do lane tracking with Raspberry pi and camera?
  • About Project Development Life Cycle:
    • Planning and Requirement Gathering( software’s, Tools, Hardware components, etc.,)
    • Schematic preparation 
    • Code development and debugging
    • Hardware development and debugging
    • Development of the Project and  Output testing
  • Practical exposure to:
    • Hardware and software tools.
    • Solution providing for real time problems.
    • Working with team/ individual.
    • Work on Creative ideas.
  • Project development Skills
    • Problem analyzing skills
    • Problem solving skills
    • Creativity and imaginary skills
    • Programming skills
    • Deployment
    • Testing skills
    • Debugging skills
    • Project presentation skills
    • Thesis writing skills 

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