Systems and Methods for Improving Workplace Safety Via Machine Learning Applied to Lidar and Vision Systems Deployed in a Workplace

Systems and methods are described for identifying and reducing workplace safety risks using computer vision, lidar, and machine learning. Sensor information is transferred to an AI server that identifies people, objects, powered industrial vehicles and other items of interest along with their locations over time. This information is gathered to identify infrequent but dangerous situations that may lead to serious and fatal accidents, such forklift collisions with human workers. This data may be used, for example, to identify near miss situations and allow safety personnel to institute risk mitigation measures, and/or to train an AI/ML model to predict the travel paths of moving objects in real time and warn workers of impending potential collisions and other dangerous situations.