An innovative scheme for smart school bus tracking system using machine learning and IoT techniques

Thousands of students use school transportation around the world. We require a transportation system that is effective, reliable, safe, and smart. The suggested system depicts a transportation concept that provides real-time tracking, calculates optimal routes to destinations, detects intrusion, and...

Full description

Saved in:
Bibliographic Details
Main Authors: Aiswarya, K., Sriram, A., Raja, E., Gandhimathi, G.
Format: Conference Proceeding
Language:English
Subjects:
Accelerometers
Applications programs
Face recognition
Intrusion
Machine learning
Mobile computing
Tracking systems
Transportation systems
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Thousands of students use school transportation around the world. We require a transportation system that is effective, reliable, safe, and smart. The suggested system depicts a transportation concept that provides real-time tracking, calculates optimal routes to destinations, detects intrusion, and assists in the maintenance of transportation system statistical data. IR sensors and RFID tags are used to create an IoT network. The detection of intrusion is done via facial recognition. Google Maps, GPS, and accelerometer data are used to detect live location. A bus-mounted Arduino Uno3 microcontroller interfaces with a centralised Firebase cloud platform. Admins and parents can access the mapped data via a mobile application. The system saves important data such as driving abilities, attendance analysis, and the optimal routes. In the ML optimizer, the data is effectively used.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0179249