Introducing Improved Cross-Camera People and Vehicle Search Pages: An Intuitive Way to Find People and Vehicles of Interest
David Murguia
Lead Product Manager
When conducting time-sensitive investigations, security teams need intuitive search tools that deliver accurate results in seconds. Verkada’s customers already enjoy a wealth of search options – from motion grid search, to people and vehicle attribute search, and AI-powered search – that quickly surface subjects of interest. Always improving, these search methods leverage the latest in AI and computer vision to deliver useful and actionable results. Today, we’re excited to introduce the next iteration of our people and vehicle search pages, with easier and more streamlined methods to locate people and vehicles of interest.
The existing people and vehicle search tabs allow organizations to search for subjects of interest using a list of predefined criteria, like clothing or vehicle color, license plate search, and the ability to sort by vehicle type, like SUVs or trucks.
The new pages organize search criteria in a clean, yet comprehensive search bar and significantly expands on the existing functionality. The new people search page includes additional attribute filters to surface whether individuals were wearing certain personal protective equipment (PPE), like hardhats or safety vests.
The new vehicle search page includes additional vehicle types – like bicycles and motorcycles – a freeform search bar to surface virtually any make and model, license plate search sortable by U.S. state, and a series of unique identifiers including noticeable body damage and bumper stickers. What’s more, organizations equipped with Verkada’s bullet cameras can pair this new search functionality with license plate recognition to reconstruct a map of a vehicles’ whereabouts – helping security teams pinpoint vehicles of interest across expansive areas, like multiple city blocks. The demo below illustrates these improvements to the vehicle search tab:
The new people and vehicle search pages will be available on February 20, 2025. To learn more, see the Search on Verkada Command overview document or contact [email protected].
