Smart city tech firm Iveda has launched an enhanced version of its AI video analytics platform, IvedaAI. The latest version addresses major challenges in large-scale deployments with automated camera discovery, scene configuration, and improved compute efficiency. As a result, it provides faster and simpler video surveillance configuration for smart cities.

Organisations can spend significant time and resources on manual camera setup, device mapping, and analytics configuration. These processes can become increasingly complex and resource-intensive in large-scale deployments involving numerous cameras and devices.

IvedaAI’s latest update instantly recognises each camera, maps it, identifies regions of interest, and recommends best use-cases and analytics for the scene. This process cuts typical ramp-up for thousand-camera networks from weeks to hours.

Iveda has also introduced a new Flexible Software License model—an all-in annual price per camera that includes all software components. The company is offering two tiers. Signature allows any two analytics functions. Premier includes full access to all available analytics.

“With the latest updates to IvedaAI, we’ve made AI deployment as simple as flipping a switch,” said David Ly, CEO of Iveda. “IvedaAI’s automated scene analysis and camera configuration allows organisations and governments worldwide to scale a handful of cameras to massive networks in record time. At Iveda, we continue to advocate for large-scale surveillance projects that protect citizens and make urban life easier for all residents. We believe that every city should consider deploying smart city solutions, and this technology is getting us one step closer to making that notion a reality.”