Nest Cam Now Uses Machine Learning To Identify Doors
Nest is working to improve both its iOS and Android apps, with those who subscribe to Nest Aware set to reap the most benefits from the updates. Those updates focus on improved notification of activity, with Nest Cams set to use machine learning in order to identify where both internal and external doors are and then paint the area around them for the monitoring of activity.
When a Nest Cam identifies a door, users will be able to manually correct any false positives, and they will also be able to point out where doors are should the software not do a good job of finding them itself.
Both the Nest Cam Indoor and Nest Cam Outdoor camera feeds will be able to take advantage of this new additional functionality, so long as the user is a Nest Aware subscriber.
Subscribers who have their phones updated to iOS 10 or Android 7 will also receive improved on-device notifications, which will now include animated previews of what their Nest Cams are seeing, removing the need to launch the apps themselves in order to see what is going on. Nest Protect alerts will also be tied in here, with the whole system working together to give a real-time video view of the area should carbon monoxide or smoke be detected by Nest’s hardware.
Those using Android 7 devices will also notice that the app has been updated to include the new shortcuts, which are accessible via a long-press on the app’s icon, as per the functionality brought to Android by the recent Nougat update.
Nest Aware video history will also be easier to navigate following the updating of the apps, with users now able to launch Sightline for a particular day by simply tapping a date.
Both the iOS and Android Nest apps have already been updated, with those new revisions available for download from the App Store and Google Play Store respectively.