Vehicle Seat Vacancy Identification Using Image Processing Technique

Also Available Domains Raspberry pi|Embedded applications

Project Code :TEMBRE19_156

Abstract

Image processing technology is very popular at present. It can be applied to various applications for detecting and processing the digital images. Face detection is a part of image processing. It is used for finding the face of human in a given area. Face detection is used in many applications such as face recognition, people tracking, or photography. In this research, face detection technique is used for detecting and counting the number of passengers in electric vehicle via webcam. The webcam is installed in electric vehicle and connected with Raspberry Pi. When electric vehicle leaves from the station, webcam will capture passenger’s images in the seating area. The images will be adjusted and improved to reduce the noise which is done by software application. The images are sent to the server via Ethernet. Then, the server process the images by using face detection technology and counting the number of passengers in electric vehicle. The system obtains the maximum number of passengers in electric vehicle that process through the images then calculates the seat vacancy of the electric vehicle

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

Block Diagram

raspberry pi, web camera

Specifications

Raspberry Pi, Camera. Power Supply

Learning Outcomes

  • Raspberry pi pin diagram and architecture
  • How to install Raspberry pi IDE software
  • Setting up and installation procedure for Raspbian
  • Basic coding in Raspbian
  • Basic of python language
  • Working of Web camera
  • How to interface Web camera with Raspberry pi?
  • 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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