Vaidio has announced the launch of Vision AI. The new offering is suitable for cities, including transportation networks, schools, police departments and stadiums.
Vaidio states that its new offering, Vaidio City, transforms existing cameras into intelligent traffic optimization and public safety tools, that brings accuracy, seamless integration and reduced resource requirements to urban infrastructure management.
According to the company, Vaidio is the first AI platform to directly analyze traffic light states using camera data across multiple camera angles, creating more detailed insight into traffic patterns than previously possible.
Vaidio highlighted that cities, suburbs and towns often face operational challenges with traffic flow, pedestrian safety and security at their largest public venues, as well as the high costs associated with security monitoring.
Traditional solutions to this problem require sensor upgrades or purchase of new smart traffic signals, which can be costly.
As a result, cities haven’t fully leveraged their existing camera infrastructure for comprehensive traffic management and public safety initiatives.
Vaidio claims that its city offering delivers a range of advanced capabilities all while reducing costs by up to 75%, by running on existing camera infrastructure and requiring no new hardware.
Vaidio’s Vision AI platform opens new frontiers by embedding agentic and generative intelligence across the platform to remove the manual hurdles that have traditionally prevented cities from fully leveraging visual intelligence across their operations.
Vaidio City offers a comprehensive suite of intelligent tools by leveraging existing camera infrastructure and seamlessly integrating with existing video management systems (VMS), traffic management software and public sector data platforms.
It provides smart traffic and pedestrian monitoring, transforming any standard camera into an intelligent sensor capable of tracking both vehicular and pedestrian activity.
Vaidio states that it is the first AI platform to directly analyze traffic light states using camera data across multiple camera angles, which when combined with accurate vehicle and pedestrian counting capabilities, enables cities to gain granular insights for enhanced traffic flow analysis and urban planning.
This allows cities to make decisions based on both real-time and historical analytics.
Vaidio City features incident and violation detection, capable of identifying events such as crashes, red-light running and jaywalking in real time.
Its license plate recognition and forensic search capabilities allow for vehicle tracking and expedited investigations.
Real-time alerts and visual heatmaps provide immediate notifications for critical events and offer visual representations of traffic and pedestrian density, allowing for quicker responses to developing situations.
Robin Braun, vice president for AI business development, Hybrid Cloud at Hewlett Packard Enterprise (HPE) commented: “HPE, Vaidio and public CIOs across the country share a vision of creating smarter, safer and more sustainable cities through the power of AI.”
Braun continued: “By working together to harness the full potential of existing cameras and advanced AI Engines, we are empowering communities to make data-driven decisions that improve safety, efficiency and quality of life for everyone.”
The City of Dubuque, Iowa collaborated with Vaidio partner Milestone Systems to implement an innovative approach to traffic management and public safety.
Dubuque faced challenges in maximizing the potential of its existing video data due to the time-consuming and inefficient nature of manual analysis.
The company said that to address this, Milestone facilitated a public-private partnership with Vaidio, which was selected for its ability to support a wide variety of analytics on the city’s existing cameras and deliver fast forensic search.
By leveraging Dubuque’s existing video management software (VMS) infrastructure from Milestone, the city has deployed Vaidio’s AI Vision platform to gain valuable insights from its network of over 1,300 cameras, the company highlighted.
Dave Ness, Traffic Engineer for the City of Dubuque commented: “If we can improve traffic flow even by a minute or two on one of our main corridors, that adds up to a lot of time saved for citizens, especially when you multiply it across 50,000 vehicles a day.”
He concluded: “What we’re seeing goes beyond just saving time — it’s about creating a safer, more efficient and more sustainable city for all our residents.”
Marshall Tyler, CEO, Vaidio commented: “Most cities are grappling with traffic congestion and the need to improve pedestrian safety while managing budgets effectively.
“Vaidio City unlocks the potential of their existing camera infrastructure to deliver actionable insights for traffic optimization and public safety, ultimately creating safer, smarter and more efficient urban environments.
“This expansion into the public sector aligns perfectly with our mission to create safer, smarter and more effective environments through flexible, real-time video analytics,” Tyler concluded.