Intelligent Crawlers And Smart Street Lighting Using Aiot

Abstract

The rapid advancement of Artificial Intelligence (AI) and the Internet of Things (IoT) has enabled the development of intelligent urban infrastructure aimed at enhancing public safety, energy efficiency, and real-time responsiveness. This research proposes an integrated system combining an intelligent crawler robot with smart street lighting using AIoT (Artificial Intelligence of Things) technologies. The intelligent crawler, equipped with sensors and AI-based object detection, autonomously patrols urban environments to monitor roads, detect obstacles, identify suspicious activities, and transmit real-time data to a centralized cloud system. Simultaneously, the smart street lighting system utilizes motion sensors and machine learning algorithms to dynamically adjust illumination levels based on pedestrian or vehicular movement. This dual-system approach improves urban surveillance, reduces energy consumption, and contributes to sustainable smart city development. The proposed architecture emphasizes scalability, real-time data processing, and cloud-edge collaboration, offering a cost-effective solution for future urban infrastructure.