Running Face Recognition at the Edge has many benefits. These are: 

  1. The capacity to use Smart Motion Detection

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 Face Recognition AI on the Edge (instead of the cloud) is that private and sensitive data isn’t 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 can also  significantly prolong battery life. 

  1. The ability to provide the best data 

Face recognition at the Edge provides the best data. It allows for high quality images that can be cropped and can get higher resolution faces from part of a scene. This is not possible off-device or in the cloud with transmitted and compressed video.

  1. Increased robustness 

Face Recognition at the Edge also increases robustness. In an application, identity determined from Face Recognition usually drives a decision or action. Having this technology at the Edge means that the system can continue to work even if the network is down.

  1. An efficient architecture design

The benefits of an efficient architecture design can be seen in terms of better scalability. As a distributed compute model, Edge Face Recognition provides the benefit of not increasing server compute loading with the growth of more devices.

The Edge also serves as an intelligent gatekeeper for reducing video traffic to the server. Additionally, it can redirect server compute resources to more advanced analytics.

The issue with past approaches is that motion detection generates lots of false alarms. We refer to this as Dumb Motion Detection.

Smart Motion Detection works by processing each and every motion clip using an AI model to determine if a person was in that clip. If so, then the clip along with the alert saying “Person Detected” is sent to the user. If not, that clip can be discarded as a false alarm.

Face Recognition is when you search a database of known faces to see if a detected face matches one of those faces. If it matches, that identity and name is assigned to the face. If no match is found, it will be tagged as an UNKNOWN face. 

When combined with person detection, Face Recognition allows you to tell familiar faces from strangers’ faces. This is an attractive selling feature compared to standard person detection.

Face recognition allows you to recognize a person’s face so that you can see who’s at your property. Face Recognition can differentiate between family members, frequent visitors, and unknown faces to keep you and your family safe.

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