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parking-slot-detection

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This project utilizes the custom object detection model to monitor parking spaces in a video feed. It identifies vehicles in the video and overlays polygons representing parking spaces on the frames. The program then calculates the number of occupied and free parking spaces based on the detected vehicles and the predefined parking space polygons.

  • Updated Jul 10, 2024
  • Python

The parking lot system supports the management of multiple parking lots, each containing parking floors and parking slots. Each parking slot can accommodate specific types of vehicles based on their size and type.

  • Updated Feb 13, 2024
  • Java

Parking Pixel is a real-time parking detection system that uses computer vision to identify available spaces from video feeds. It allows users to define parking regions and continuously monitors availability. Built with Python and machine learning models, Parking Pixel provides accurate, efficient parking management.

  • Updated Aug 14, 2024
  • Python

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