Implementation of an IoT-Based Car Park Availability Monitoring System

• Main Authors: Navarro, Jerome Daniel P., Punla, Radyn Matthew H., Agustin, Luisito L
• Format: text
• Published: Archīum Ateneo 2023
• Subjects: Annotation; Chatbot; Internet-of-Things; Machine Learning; Mobile Application; Model Training; Object Detection; Raspberry Pi; Real-Time; YOLOv7; Artificial Intelligence and Robotics; Computer Sciences; Data Storage Systems; Digital Communications and Networking; Physical Sciences and Mathematics
• Online Access: https://archium.ateneo.edu/ecce-faculty-pubs/159; https://doi.org/10.1109/IoTaIS60147.2023.10346069
• Institution: Ateneo De Manila University

To assist drivers, the researchers propose a car park occupancy monitoring system that uses a Raspberry Pi to obtain photos needed by YOLOv7 to determine the presence of vehicles in a parking area. OpenCV is used to count the number of available parking spaces from the analysis of YOLOv7. The information is uploaded to the internet in real-time for access by users of the parking area. The data is uploaded and processed in Google Sheets and is accessed by a chatbot, using FlowXO. The chatbot is then deployed in Facebook Messenger, available to the targeted end users.