Cisco Meraki has released a new update for its MV smart cameras that adds several new and upgraded features designed to make the solution even easier to use and offer additional value. This includes Timeline Navigation updates, Motion Alerts 2.0, Vehicle Detection and Camera Field of View (FoV) in Maps.
Timeline Navigation updates
The timeline may not be something people think about as a feature but it’s a core part of how users interact with videos. Using natural language processing users can now type in “yesterday evening” or “a week ago at noon” to access to the corresponding video. Now, users have new options for navigating the timeline using the scroll wheel on a mouse or the equivalent controls on a touchpad. You can zoom in and out by scrolling on a mouse as well as move forward or backwards in the timeline bar by swiping on a touchpad or shift+scroll on a mouse.
In a motion search, slider bars will appear on the timeline to indicate the time range for the results. Search results default to the middle 50% of the current visible timeline bar and can be adjusted by moving the slider bars or changing the start and end date selectors above the motion search results.
Motion Alerts 2.0
Motion alerts 2.0 offers new tools to select motion sensitivity levels and multiple areas of interest, allowing for greater flexibility. The average expected motion alerts per day are now displayed in the dashboard, making it easy to understand the impact of any configurations made.
Using machine learning and artificial intelligence capabilities, MV cameras will be able to detect vehicles in the frame of the camera. The vehicle detection model will be enabled on outdoor cameras (MV72) and vehicle count information will be displayed in the dashboard in the same format as people count is today.
The ability for the camera to detect vehicles opens a variety of new applications. In addition to being able to discover motion events with vehicles more quickly, vehicle traffic and trends can be easily monitored in areas like parking lots or garages. Vehicle detection data is also available via the MV Sense API, allowing for custom integrations and applications.
Camera FoV in Maps
The camera FoV can be displayed for easy reference. The MV32 (fisheye) camera view is indicated by a circle while other models will have a directional triangle. Simply use your mouse to position the FoV as needed.