Smart Vehicle Recognition and School Pickup Efficiency Enhancing System using Artificial Intelligence and IoT System

StudentConnect is a system designed to streamline and improve the efficiency of student pickups at schools by automating parent arrival notifications. The system integrates two main components: PlateConnect, a license plate recognition system, and the StudentConnect mobile app [1]. PlateConnect uses a Raspberry Pi, Pi camera, YOLOv8, and OpenCV to capture and recognize vehicle license plates in real time [2]. Recognized plates are cross-referenced with a Firebase database to identify parents and their wards. Upon a match, an arrival notice is automatically generated and uploaded to Firebase, allowing school administrators to access real-time notifications via the StudentConnect app [3]. Parents can also view their notifications or manually notify the school of their arrival. Despite challenges such as limited hardware processing power and environmental factors affecting accuracy, the system significantly enhances pickup efficiency and safety. Future improvements include upgrading hardware and utilizing cloud services to optimize performance during peak times.

Authors

Publication Details

Published
2025-02-22
DOI
https://doi.org/10.5121/csit.2025.150401
Citations
1
Primary Topic
Vehicle License Plate Recognition
Type
article
Field-Weighted Citation Impact
1.14
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article

Smart Vehicle Recognition and School Pickup Efficiency Enhancing System using Artificial Intelligence and IoT System

Nina Zhang, Austin Amakye Ansah
1 citations
Vehicle License Plate Recognition
1.14
article

Smart Vehicle Recognition and School Pickup Efficiency Enhancing System using Artificial Intelligence and IoT System

Nina Zhang, Austin Amakye Ansah
article en
1 citations

Abstract

StudentConnect is a system designed to streamline and improve the efficiency of student pickups at schools by automating parent arrival notifications. The system integrates two main components: PlateConnect, a license plate recognition system, and the StudentConnect mobile app [1]. PlateConnect uses a Raspberry Pi, Pi camera, YOLOv8, and OpenCV to capture and recognize vehicle license plates in real time [2]. Recognized plates are cross-referenced with a Firebase database to identify parents and their wards. Upon a match, an arrival notice is automatically generated and uploaded to Firebase, allowing school administrators to access real-time notifications via the StudentConnect app [3]. Parents can also view their notifications or manually notify the school of their arrival. Despite challenges such as limited hardware processing power and environmental factors affecting accuracy, the system significantly enhances pickup efficiency and safety. Future improvements include upgrading hardware and utilizing cloud services to optimize performance during peak times.

Openalex Percentile: Top 23%
Vehicle License Plate Recognition
1.14
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