Developing a Smart Inspection System Using Artificial Intellegence

Presenter

Sydiney N. Nyabiosi

Campus

Fitchburg State University

Sponsor

Hong Yu, Department of Engineering Technology, Fitchburg State University

Schedule

Session 2, 11:30 AM - 12:15 PM [Schedule by Time][Poster Grid for Time/Location]

Location

Poster Board A5, Campus Center Auditorium, Row 1 (A1-A20) [Poster Location Map]

Abstract

This project is dedicated to developing a smart parking inspection system, with a primary focus on the efficient detection and validation of vehicle registration number plates to ensure compliance with parking permit requirements. The proposed system leverages advanced artificial intelligence (AI) technologies/algorithms and employs various programming libraries to detect objects and be able to read numbers and letters.  

Through automated reading and validation of registration plates, the system cross-references the information with parking permit databases. The system integrates autonomous navigation with sensor integration. In cases of discrepancies or violations, the system triggers alert messages to the smart parking system. If the vehicle is not registered, then the parking lot personnel are alerted, and the vehicle location identified. Additionally, a user-friendly graphical user interface (GUI) or website will be used to be able to access the information and action taken accordingly as well.

This versatile approach significantly improves the accuracy and effectiveness of parking enforcement while reducing manual workload. Future development phases will continue to enhance the system's autonomy, exploring and implementing diverse methods for monitoring parked vehicles with GPS incorporation. The goal is to provide a comprehensive and adaptable solution that advances the system's capabilities in data collection, reporting, and overall efficiency in enforcing parking regulations.

Keywords

Artificial Intelligence (AI), GPS, Smart Parking , Programming

Research Area

Artificial Intelligence

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