Automatic Vacant Parking Places Management System Using Vehicle Detection

Project Code :TCMAPY491

Objective

The main objective of this application is to propose a system for vehicles detection and their corresponding mapping into the parking spots of a parking lot.

Abstract

This paper presents a system for vehicles detection and their corresponding mapping into the parking spots of a parking lot. Approaches from the state-of-the art system, which work properly in controlled scenarios, have been validated using small amount of sequences and without more challenging realistic conditions (illumination changes and different weather conditions). On the other hand, most of them are not complete systems, but provide only parts of them, usually detectors. The proposed system has been designed for realistic scenarios considering different cases of occlusion, illumination changes, and different climatic conditions; a real scenario has been targeted with the condition that existing parking security cameras can be used, avoiding the deployment of new cameras or other sensors infrastructures. For design and validation, a new data set has been recorded. The system is based on existing object detectors (the results of two of them are shown) and different proposed post processing stages.

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

Block Diagram

Specifications

SOFTWARE AND HARDWARE REQUIREMENTS:

Operating system :  Windows 7 or 7+

Ram :  8 GB

Hard disc or SSD :  More than 500 GB

Processor :  Intel 3rd generation or high or Ryzen with 8 GB Ram

Software’s :  Python 3.6 or high version, Visual studio, PyCharm.


Learning Outcomes

  • What is Deep Learning?
  • Abut Deep Learning algorithms.
  • About RCNN.
  • Knowledge on PyCharm Editor.


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