CrossBot: An AI-Driven Smart Robot for Enhancing Pedestrian Safety at Crosswalks

Pedestrian safety remains a critical concern, with thousands of fatalities and injuries reported annually, particularly among children under 16 during road crossings. This research introduces CrossBot, an AI-powered smart robot designed to enhance pedestrian safety by providing real-time detection and intelligent decision-making at intersections. Unlike traditional systems that rely on traffic-light infrastructure, CrossBot employs advanced machine learning (ML) algorithms to accurately detect vehicles, pedestrians, and cyclists. Using large datasets from LiDAR sensors and video cameras, the ML models are trained to perform real-time analysis of road conditions. Deployed on a mini-computer and programmed in Python, the system integrates sensor data to make intelligent, real-time decisions, ensuring pedestrians and cyclists are guided safely through crossings. This comprehensive solution offers robust detection and decision-making capabilities, with the potential to significantly reduce pedestrian-related accidents at crossroads.