Eighonet/parking-research
Parking lot occupancy detection methods
This research code helps parking facility managers and smart city planners automatically detect whether parking spots are free or occupied using camera images. It takes raw camera feeds or image data of parking lots as input and outputs classifications of individual parking spots, indicating their occupancy status under various weather and lighting conditions. This allows for real-time monitoring and better utilization of parking resources.
No commits in the last 6 months.
Use this if you manage parking facilities or urban planning and need to accurately monitor parking spot availability using existing camera infrastructure.
Not ideal if you are looking for a plug-and-play application and don't have technical expertise to implement deep learning models.
Stars
17
Forks
5
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 01, 2024
Commits (30d)
0
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