From Camera to Action: Deploying Onboard Edge AI for Safer, Smarter Transit Operations
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Summary
Transit agencies already have a valuable asset in place: onboard cameras and sensors. The challenge becomes turning the data from those devices it into action. This session explores how rugged edge computing and AI-powered video analytics can transform existing camera and sensor infrastructure into a real-time safety and operations platform, without requiring agencies to rip and replace what's already on the vehicle.
We'll walk through how transit operators can move from raw video data to real-time operational awareness, faster incident response, and AI-assisted forensic investigation. We'll also look at how rugged onboard computing supports sensor fusion and workload consolidation, and how remote fleet management with over-the-air updates makes scaling from pilot to fleet-wide deployment more manageable.
Whether you're evaluating edge AI for the first time or looking to expand an existing deployment, this session will provide a clear, practical roadmap grounded in real-world transit use cases.
Speakers
Manuel "Manny" Hicaro
Field Application Engineer Manager
Axiomtek
Manuel “Manny” Hicaro is the Field Application Engineer Manager at Axiomtek, where he leads a team supporting customers across North America in planning, validating, and deploying industrial computing solutions at the edge.
Manny's diverse experience in technology implementation and integration has equipped him to help customers overcome real-world challenges in deploying edge computing solutions that must balance performance, cost, and scalability. Known for his ability to simplify complex technology, Manny bridges the gap between engineers, business leaders, and technology partners, sharing actionable best practices and building the documentation needed for smooth handoffs from prototype to production.
Anthony "Tony" Abuta
Global Director & Technologist, Intelligent Transportation Infrastructure
Intel Corporation
Anthony “Tony” Abuta is Global Director and Technologist for Intelligent Transportation Infrastructure at Intel, where he leads efforts at the intersection of AI, edge computing, and intelligent mobility systems.
Tony works with transportation agencies, cities, OEMs, and ecosystem partners to help move AI from pilots to scalable, real-world deployment. With more than 25 years of experience spanning engineering, product strategy, and business leadership, he helps organizations turn transportation data into safer roads, smarter operations, and better infrastructure decisions.
