Features Overview

Introduction

UVAP provides various key features that enable a wide range of practical applications. The core video analytics features are categorized into the following three areas:

These features have been used to solve real world problems in different domains. Some examples:

  • Queue management system for retail stores. Customers are counted at the doors and in the queuing area in real-time. A prediction model can tell if there will be a queue in the next few minutes and staff is alerted before it happens.

  • Fall detection in elderly care homes. The system uses two 3D calibrated cameras per room and runs human body pose estimation. Based on the body pose fallen body pose can be recognized. An alert is sent to the staff in real-time. Staff personals can look at the alert, validate the images and decide to take action.

  • Measure waiting time on Airports. Face recognition is applied at the entrance and exit points in real-time to measure actual waiting time. Prediction is applied and displayed to customers entering the queue.

  • Recognize unsafe escalator usage. Based on head detection, tracking and full body pose different unsafe situations are recognized such as: wrong direction, leaning out, crowd.

Additionally, UVAP provides features that help using the core video analytics features. These additional features are categorized into two groups:

Person Detection

Features relevant to person detection are the following:

Facial Properties and Recognition

Features relevant to facial properties and recognition are the following:

Movement Detection

Features relevant to movement detection and tracking are the following:

Configuration

Features and UI tools to help the integration and configuration of the core video analytics features to create working applications:

Image and Video

UVAP has a number of additional features that provide information about or manipulate the images or the video being processed by the core video analytic features:

Head Detection →