Nina Zhang¹ and Austin Amakye Ansah², ¹Fulton Science Academy, USA, ²The University of Texas at Arlington, USA

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.

Data Sciences, AI-Subdomains, Polymathical mathematical models, Business and common transformation projects, Enterprise architecture, Artificial intelligence, Qualitative and quantitative research, and Critical success factors/areas.