Artificial intelligence
fromSecuritymagazine
7 hours agoPhysical Security in Global Arenas: How AI Improves Security at Scale
Agentic physical security uses AI to transform surveillance into proactive threat prevention at large events.
"As we prepare for events like the World Cup, MA250, Tall Ships, and for millions of visitors to experience all that Massachusetts has to offer, we want to thank our regular riders that rely on us 365 days a year for your patience and continuing to choose transit during this unprecedented summer."
The integration of cameras to enable various video-based services in commercial vehicle environments has become one of the strongest trends over recent years, in a fleet video telematics sector that is set to grow by 16% globally to 2020.
True high-speed rail in the U.S. is still years away despite recent advancements and public support. Rail experts emphasize that actual high-speed rail requires dedicated infrastructure and faster trains, similar to systems in Europe and Asia.
DoorDash's investment in Also aims to develop and accelerate the deployment of autonomous delivery at scale, focusing on areas not yet fully solved for, including intersections of roadways and bike lanes.
For more than a decade, autonomous buses have been "almost ready." Demonstrations with safety drivers began around 2015, and ten years later, this is still largely what we see. The reason is not a lack of ambition - it is physics, safety, and economics. Autonomous buses on city streets are inherently difficult. They carry dozens of passengers, operate as heavy vehicles, and move through a chaotic urban environment.
Urban logistics is entering a new era where practical technology drives meaningful results. Today, more than 55% of people live in cities, and urbanization is expected to rise to 68% by 2050, placing intense pressure on delivery networks to keep up with growing demand. U.S. e-commerce is projected to reach $1.1 trillion in sales by 2026, heightening expectations for faster and more reliable last-mile service.
It's tempting to frame autonomous driving as a single leap. In public transport, adoption tends to be incremental - because the system is built for reliability, and new capabilities have to fit into daily operations without disrupting service. That is why a practical strategy is evolution, not revolution: introduce autonomy in a defined domain, learn safely in real operations, and expand capability step-by-step.