This repository contains a project that uses OpenCV and CVZone's Haar Cascade algorithm to calculate the number of parking spaces available using a car parking space counter. The system provides real-time monitoring and management of parking occupancy, enhancing efficiency and convenience for users.
- Utilizes OpenCV, a computer vision library, for image processing and video feeds
- Integrates CVZone's Haar Cascade algorithm for object detection and counting
- Provides real-time feedback and monitoring for parking occupancy
- Enhances efficiency and convenience for parking management
- Computer vision and image processing
- Object detection and counting
- OpenCV and CVZone integration
- Real-time feedback and user experience design
- Object detection and counting can be challenging, but with the right algorithms and techniques, it can be achieved accurately and efficiently
- OpenCV and CVZone are powerful libraries for computer vision and image processing, and integrating them can lead to innovative and practical solutions
- Real-time feedback and user experience design are crucial for enhancing efficiency and convenience in applications
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