Finding and detecting people is called Person 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.
With Dumb Motion Detection, every motion clip is uploaded to the cloud where the AI is running. This means shorter battery life, costly cloud processing, and high latency. Privacy issues with people’s personally identifiable information stored in the cloud are also a significant risk.
The benefit of running Person 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 it’s all being processed on the camera itself.
Since you no longer need to upload every Dumb motion, clip you significantly prolong your battery life!
In the past, security cameras have relied on motion detection to alert the user if something interesting (e.g., a 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 person was in that clip. If so, the clip and the alert saying “Person Detected” are sent to the user. If not, that clip can be discarded as a false alarm.
Person Detection is a specific kind of Object Detection.
Person Detection does the job of discerning if a person or people are present in an image or a camera’s video clip. This can also include the locations of people in the image or video.