Edge AI SDK/User Guide

Quick Guide

Edge AI SDK caters to users who are comfortable with the machine learning (ML) experience. It can quickly evaluate computing performance for the CPU or GPU, and provides runtime results inferenced with ML.

Dduble click the icon ( in the red box ) on the Destop to start the Edge AI SDK App.

Quick Guide Video

How to Quickly Start AI Inferences

Step 1. Go to the “Quick Start” page, as shown below.

 

Step 2. Choose one application you want to activate and then confirm inference info, as shown below.

( 1. Object detection, 2. Face detection, 3. Person detection, 4. Pose estimation )

 

Step 3. Choose your video source which could be video clips or the USB Camera, as shown below.

Video ( Note: .MP4 only )

or USB Camera

 

Step 4. Choose one of the acceleration chipsets to execute selected inference application, as shown below.

( Note:  The available accelerator chipsets depend on your AI system and accelerator card. )

 

Step 5. Another window will pop up to show the AI inference, as shown below.

Object Detection

Object Detection is a computer vision task in which the goal is to detect and locate objects of interest in an image or video. The task involves identifying the position and boundaries of objects in an image, and classifying the objects into different categories. It forms a crucial part of vision recognition, alongside image classification and retrieval.

 

Person Detection

Person Detection is based on object detection systems that can "detect human classification," i.e., have the data and training to classify the detected object as human. Person detection is used in many different sectors. These can be listed as security, insurance, nursing, health, and production. Technologies offer opportunities that can significantly increase customer satisfaction.

Face Detection

Facial Detection is the task of making a positive identification of a face in a photo or video image against a pre-existing database of faces. It begins with detection - distinguishing human faces from other objects in the image - and then works on identification of those detected faces.

Pose Estimation

Pose Estimation is a computer vision task where the goal is to detect the position and orientation of a person or an object. Usually, this is done by predicting the location of specific keypoints like hands, head, elbows, etc. in case of Human Pose Estimation.

Monitor AI System Performance

Go to the “System Monitoring” page. This page shows payload and temperature for each chipset, as shown below.

 

Evaluate the AI Performance

Go to the “System Monitoring” page. Click the “Run” button to evaluate each chipset performance and wait for a few seconds to get FPS results, as shown below.