shukur-alom/Parking-Free-Space-Detection-Using-Computer-Vision
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.
This system helps you monitor parking lot occupancy using a live video feed or recorded footage. It takes a video input, identifies parked cars, and allows you to define parking space boundaries. The output is a real-time count of occupied and free parking spots, overlaid on the video. This is ideal for parking lot managers, security personnel, or business owners overseeing parking facilities.
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Use this if you need an automated way to track available parking spaces without manual observation or expensive sensor installations.
Not ideal if your video feed has poor visibility, inconsistent lighting, or if parking spaces are frequently obstructed by non-vehicle objects.
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Language
Python
License
MIT
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Last pushed
Jul 10, 2024
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