Assistive technologies are known to be of significant importance in keeping the safety and efficiency of modern urban environments. Within this context, this paper proposes a smart integrated system, named Smart Street System. The proposed system is developed on the ESP32 platform, aiming to provide real-time information regarding the surrounding environment. For this purpose, a multi-modal sensor fusion technique, including ultrasonic sensors and LDR, is used to detect obstacles and ambient light levels. By applying a logic-based algorithm, it is possible for the system to recognize static objects, indicating potential accidents, and provide real-time information regarding these hazards through the Blynk IoT platform. Furthermore, a five-point fire safety array and a gate control module are integrated into the system, aiming to maintain safety in urban environments. The proposed system is developed in C++, a portable and real-time language, and experimental results indicate that it is able to effectively recognize potential hazards in the environment, enhancing the efficiency of urban infrastructure.
Rao et al. (2026) studied this question.