Vehicle analytics uses powerful edge-based capabilities to detect vehicles and filter results based on vehicle color and body type.
How it Works
Vehicle analytics leverages the cameras' powerful onboard processing capabilities to detect the presence of, and analyze the properties of vehicles as they appear in the frame. As vehicles are detected, high-resolution images are taken and analyzed for vehicle objects. Selected images are then sent to Verkada’s cloud-based Command platform, where users can filter historical clips for vehicles and search for specific vehicles by time, date, body type, and color.
Enable Vehicle Analytics
All Verkada cameras perform vehicle detection (as outlined above) out of the box. However, to enable more complex analytics, such as the ability to search for vehicles by color and body type, vehicle analytics must be turned on.
Select a camera
Toggle on Vehicle History
(Optional) Toggle off the Face Detection and Person Attributes toggles if these features are not desired
Bulk enable People History from the Devices Page
Select the Device page in the left-hand menu
Select the checkbox of any camera you would like to configure analytics on
Select Edit Settings from the top menu
Enable Vehicle History and other analytics features that you wish
Click Next then Save to apply the settings
Using Vehicle Analytics
Vehicle analytics can be seen on individual cameras, as well as across all cameras in an organization.
Vehicle Analytics for an Individual Camera
Select a camera
Select Vehicles (You will not see this button if Vehicle Analytics is not enabled)
(Optional) Choose a date and time range
(Optional) Once results appear, select the filter icon to further filter results by color, and body type
Vehicle Analytics Across All Cameras
Select the Search page on the left-hand menu, you can also use Ctrl+K to open the search menu
All detected vehicles across all cameras will be displayed
Use the search bar to see and apply the available filters