This paper is published in Volume-12, Issue-3, 2026
Area
IOT And Embedded Domain
Author
Rahul G P, Prithviraj R, KS Maneesh Kumar, Manvith DO, Raghuveer C M
Org/Univ
Vemana Institute of Technology, Karnataka, India
Pub. Date
20 May, 2026
Paper ID
V12I3-1182
Publisher
Keywords
Smart Parking, Internet of Things (IoT), ESP32, Ultrasonic Sensors, Blind Spot Monitoring.

Citationsacebook

IEEE
Rahul G P, Prithviraj R, KS Maneesh Kumar, Manvith DO, Raghuveer C M. IoT-Enabled Smart Parking and Blind Spot Detection, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Rahul G P, Prithviraj R, KS Maneesh Kumar, Manvith DO, Raghuveer C M (2026). IoT-Enabled Smart Parking and Blind Spot Detection. International Journal of Advance Research, Ideas and Innovations in Technology, 12(3) www.IJARIIT.com.

MLA
Rahul G P, Prithviraj R, KS Maneesh Kumar, Manvith DO, Raghuveer C M. "IoT-Enabled Smart Parking and Blind Spot Detection." International Journal of Advance Research, Ideas and Innovations in Technology 12.3 (2026). www.IJARIIT.com.

Abstract

Accelerating urbanisation, combined with a sharp rise in privately owned automobiles, has placed considerable pressure on city infrastructures, particularly with respect to parking management and vehicular safety. Locating an available parking slot consumes significant driver time, indirectly amplifying fuel usage, traffic density, and urban air pollution. Simultaneously, limited driver visibility around a vehicle—especially in blind-spot regions—continues to be a leading contributor to low-speed accidents during parking manoeuvres. This paper offers a thorough review of prevailing technological frameworks, with particular emphasis on deploying ESP32 microcontrollers alongside arrays of heterogeneous sensors to achieve real-time proximity monitoring and obstacle awareness. The study traces the evolution from conventional camera-only solutions toward affordable, omnidirectional IoT architectures designed to strengthen situational awareness comprehensively. Key findings underscore the value of ultrasonic sensing paired with cloud-connected dashboards and smartphone interfaces in building a safer, fully networked vehicular ecosystem.