What question did this study set out to answer?

The aim is to develop a smart parking solution that utilizes AI to detect available parking slots in real-time.

April 12, 2026Open Access

An AI-Driven Smart Parking Framework Integrating Computer Vision, IoT, and Edge Computing for Real-Time Slot Detection and Analytics

Key Points

The aim is to develop a smart parking solution that utilizes AI to detect available parking slots in real-time.
Developed an AI framework that integrates computer vision and IoT devices.
Implemented edge computing for processing data closer to the source.
Conducted real-time analytics for parking slot detection.
Successfully identified available parking slots in real-time.
Enhanced efficiency of urban parking systems through reduced search time.
Provided insights for future urban mobility projects.

Abstract

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An AI-Driven Smart Parking Framework Integrating Computer Vision, IoT, and Edge Computing for Real-Time Slot Detection and Analytics

Key Points

Abstract

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