IoT Smart Parking System Based on the Visual-Aided Smart Vehicle Presence Sensor: SPIN-V

Area of Science:

• Smart City Technology
• Urban Mobility Solutions
• IoT Sensing Applications

Background:

• Increasing urban populations necessitate advanced infrastructure and technology for adaptation.
• Growing vehicle fleets present significant challenges for urban mobility and parking management.

Purpose of the Study:

• To present a novel sensing solution, the smart vehicular presence sensor (SPIN-V), as a cornerstone for smart parking systems.
• To detail the design and implementation of a comprehensive smart mobility architecture for real-time parking management.

Main Methods:

• Development of the smart vehicular presence sensor (SPIN-V) integrating a single-board computer, distance sensor, camera, LED, buzzer, and battery.
• Integration of the SPIN-V sensor with a mobile application and a central monitoring system.
• Real-time data processing and display of parking space status to drivers.

Main Results:

• Successful design and implementation of the SPIN-V sensor for accurate parking space status detection.
• Establishment of a functional smart mobility project comprising the sensor, mobile app, and monitoring center.
• Demonstration of real-time monitoring, control, and display of parking information.

Conclusions:

• The SPIN-V sensor and integrated system offer a viable solution for enhancing smart city parking and urban mobility.
• The developed architecture effectively monitors and communicates parking availability, addressing urban overpopulation challenges.
• This technological advancement contributes to more efficient and adaptive smart city infrastructure.