Dropcam announced Tuesday that its Wi-Fi video camera has been updated to detect people.
The camera's software is now able to differentiate between pets and humans, according to Mashable.
The Dropcam is consistently rated as one of Amazon's best-selling products in its camera and photo section, and is Amazon's best-selling surveillance camera.
Dropcam's digital video cameras can be used to monitor homes while their owners are away at work or on vacation, Digital Trends reported. The cameras also include two-way talking so people can speak to family members and pets, video zoom up to 8x, night vision view for observing the dark and high definition video solution.
The new feature, called people detection, improves the company's cloud recording service, which saves between 7 and 30 days of video. Users can buy the 7-day service plan for $99 per year and the 30-day service plan for $299 per year.
The update allows the camera to send users alerts when the device finds movement in front of it, Mashable reported. Users can change the alerts so that they are only notified of movement in a certain area, or of movement within a certain radius.
Dropcam is also adding people detection for its Cloud Recording subscribers. Greg Duffy, CEO and co-founder of Dropcam, said the subscribers count for 40 percent of the company's users, and that the update is one of the company's most-requested features.
The company also announced a new hardware product called Dropcam Tabs, sensors that, if placed on a door or window, can trigger a smartphone notification if the window or door is opened. The sensors are powered by two watch batteries and use low energy Bluetooth to communicate with the Dropcam Pro camera, Digital Trends reported.
The Tab sensors are also weather resistant, which means they can be placed outside.
Because the detection uses the cloud software, it will be included in old and new Dropcam devices, Mashable reported.
People detection also makes it easier for Dropcam to make video clips that are grouped based on activity, allowing users to scan through videos and find each time a person was in the camera's view.
