SAFR Embedded SDK Overview

Purpose

The Embedded SDK is for use when the facial recognition software needs to run on a device with limited resources — RAM, CPU, and memory — without any internet or cloud connectivity. However, the device must still perform, for example, detection and recognition of images with varying conditions with a minimum response time.

Using this SDK, developers can create applications that can:

• Provide information on the total number of known and unknown faces, the relative coordinates of each person detected, the size in pixels for each face, and more.
• Learn new faces through training (labeling).

The SAFR Embedded SDK ships as a tar.gz file that contains the necessary libraries, recognizer, and detector model files, and a sample command line tool called Panoptes.

Note: For SAFR Embedded SDK system requirements, go to SAFR.com.

See Also

• Linux ARM eSDK Overview
• Use the Linux ARM eSDK
• Use Linux ARM eSDK Detection and Recognition
• Understand Linux ARM eSDK Object Detection and Recognition
• Understand Linux ARM eSDK Object Face Estimation and Signature Compositing
• Mask Detection and RGB Liveness Detection