This document outlines the concept and implementation of a visual parking detection device (AI). The growing demand for parking spaces in urban areas requires innovative solutions to optimise parking management. This system makes use of computer vision and machine learning algorithms to accurately detect and monitor parking mode utilisation in real time.
The core of the system includes a network of strategically located cameras in parking spaces. These cameras capture live video feeds that are processed using artificial intelligence algorithms to determine whether parking spaces are in use or empty. The artificial intelligence model is trained in different images to improve its accuracy in different lighting and weather conditions.
The observed usage rate data can be integrated into the mobile application, allowing users real-time information about available parking places. This will facilitate the driver's parking process and will also reduce congestion and emissions from vehicles seeking parking.
Finally, the vision-based parking indicator is an important step forward in smart city technology, which promotes the efficient use of urban spaces and improves users' overall parking experience.
We have more details like Algorithm Information, Condition Checks, Technology, Industry & Human Benefits:
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Project Source Code
Installation Guide
Data Sets and Samples
Usage Terms
Deployment Guide & More
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