Farooq Ahmad, Shweta Dwivedi, Nupur Mittal2026-04-242025979836938272110.4018/979-8-3693-8272-1.ch009http://136.232.12.194:4000/handle/123456789/1777Computer Vision and Internet of Everything (IoE) for Societal Needs Rajiv Pandey (Amity University, Lucknow, India), Pratibha Maurya (Amity University, Lucknow, India), Neeraj Kumar Singh (INP-ENSEEIHT, Toulouse Research Institute in Computer Science, France), Anil Kumar Tiwari (Amity University, Lucknow, India), and Jigna Prajapati (Ganpat University, India)This chapter introduces an innovative smart school transportation system designed for a smart town within a broader smart city framework. By leveraging computer vision, the Internet of Everything (IoE), and advanced surveillance technologies, the system enhances safety and convenience for students, parents, schools, public transportation, drivers, law enforcement, and government agencies. The research approach uses qualitative methods to gather insights from key stakeholders. The case study focuses on Kota Baru Parahyangan City, with Cahaya Bangsa Classical School as a key example. Through the use of computer vision tools like facial recognition and object detection, the system allows for real-time monitoring and tracking of students throughout their journey. The IoE integration ensures smooth connectivity for communication and data exchange between surveillance cameras, central monitoring systems, and IoT-enabled vehicles. This intelligent school transportation system not only enhances safety but also improves traffic management and resource allocation.en-USTECHNOLOGY::Information technology::Computer science::Computer scienceBook chapter