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Smart Parking Safety and Surveillance System Using Computer Vision: Enhancing Urban Security Through In-Vehicle and Multi-View Monitoring
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Author(s): C. V. Suresh Babu (Hindustan Institute of Technology and Science, India), R. Logambigai (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India), Vaishnavee Hariharan (Hindustan Institute of Technology and Science, India), S. Lokesh (Hindustan Institute of Technology and Science, India)and B. Sathya Dhatchini (Hindustan Institute of Technology and Science, India)
Copyright: 2026
Pages: 38
Source title:
Enhancing Surveillance With Blockchain and IoT Drone Technology
Source Author(s)/Editor(s): Shakir Khan (Imam Mohammad Ibn Saud Islamic University, Saudi Arabia), Hadeel Alsolai (Princess Nourah bint Abdulrahman University, Saudi Arabia), Arvind Panwar (Galgotias University, India)and Vishal Jain (School of Engineering and Technology, Vivekananda Institute of Professional Studies, New Delhi, India)
DOI: 10.4018/979-8-3373-4277-1.ch003
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Abstract
This chapter presents a comprehensive framework for designing a Smart Parking Safety and Surveillance System leveraging computer vision technologies to enhance urban security. The objective is to automate and improve the monitoring of vehicles and pedestrians in parking environments using in-vehicle and multi-view camera systems. The approach employs OpenCV-based modules for pedestrian detection, lane and sign recognition, foreground–background extraction, and multi-camera tracking, integrated through a modular architecture. Sample lab exercises and system simulation demonstrate practical applicability. The findings indicate the system's potential to significantly reduce human error, improve vehicle tracking accuracy, and strengthen surveillance coverage in smart cities. The chapter concludes that such vision-enabled systems are integral to modern urban infrastructure, especially when aligned with emerging technologies like IoT and blockchain. The proposed model serves as a scalable foundation for future smart surveillance initiatives.
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