Revolutionizing Traffic Safety: The Global tinyML Traffic Hackathon

In a bid to address the rising concern of traffic-related fatalities and injuries, the Global tinyML Traffic Hackathon took place in partnership with the City of San José’s Vision Zero program. With pedestrian fatalities constituting a significant portion of traffic-related deaths, the hackathon aims to leverage the power of energy efficient Machine Learning (tinyML) to detect pedestrians and create innovative solutions for enhancing traffic safety.[1]  This article delves into the key details of that hackathon, the technology engineer’s utilized and its potential impact on traffic safety.