Finding and detecting pets is called Pet Localization.
Xailient has leveraged 10-years of R&D to build the world’s fastest and smallest object detector that can fit on extremely tiny devices running on exceptionally low power.
Because of this, object detection for faces, people, pets, vehicles, and packages can be run on resource-constrained Edge devices, like the camera itself.
You can also train your custom detection models to run on your cameras with Xailient’s Orchestrait computer vision AI management platform.
The benefit of running Pet Detection AI on the Edge (instead of the cloud) is that private and sensitive data is not sent to the cloud. Cloud processing bills go to $0, and you get faster alerts since everything is processed on the camera itself.
In the past, security cameras have relied on motion detection to alert the user if something interesting (e.g., moving vehicle, person, etc.) has been detected. This reduces the amount of video data that needs to be sent to the cloud.
The problem with traditional approaches is that motion detection generates lots of false alarms. We refer to this as Dumb Motion Detection.
Thanks to advances in AI and computer vision, we now have Smart Motion Detection.
Smart Motion Detection works by processing every motion clip using an AI model to determine if a pet was in that clip. If so, the clip and the alert saying “Pet Detected” are sent to the user. If not, that clip can be discarded as a false alarm.
Pet Detection does the job of detecting if a pet is present in an image or a camera’s video clip. Pet Detection can also discern the location(s) of pets in the image/video.
With Xailient’s Pet Detection AI technology, users have the ability to keep a close eye on their pets, so they can always make sure their furry friends are safe and sound.