Parking Space Detection using Image Processing OpenCV Python
In this project user have to upload any input image or video to machine learning model and model will detect the total number of vehicles parked in area and it will also detect the empty slots. An image of parking lot with cars and then image of empty parking lot is taken as reference, Both the images are subtracted to find the total number of parking slot available. This project developed using python programming language and tkinter library is used to develop graphical user interface.
In this video, we are going to develop a Vacant Parking Slot Detection and Counter using Python and Image Processing. Day to day increasing number of vehicles in urban areas and even increasing shortage of parking space few vehicles places randomly with improper areas. so the parking space needs to be technical so it can detects how many vacant spaces is there in any parking space. The proposed system will help counting the number of parked vehicles and vacant spaces in parking area. A Camera should be installed in high and fixed position so camera can detect the empty parking slots.
Automated Vehicle Parking Slot Detection System Using Deep Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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