Traffic density heat map🔗

The Traffic density heat map is designed for the visualization of the traffic intensity in the different areas of the frame. The heat map is generated by the way of summing up the time during which the movement is observed in the selected point. As a result, the areas where the objects are staying during the longest period of time are highlighted.

Capabilities of the module🔗

For the visualization, the color scale is used: the color areas hued depending on the intensity of traffic are superimposed on the video image as a semitransparent layer. For example, when using the four-color scale, the area with high traffic density is colored red, with low traffic density – blue; the green and yellow areas are transitional.

The module can be used for determining the popularity of various locations in the shopping mall, to visualize the preferred routes of visitors or vehicles on the premises, for analyzing statistics of visits to various facilities etc.

There are three ways of using the heat maps:

  • real time mode;

  • report;

  • superimposition of the heat map on the camera field of view on the facility plan.

In the real time mode, the areas of the frame where movement has been registered in the course of the last 10 minutes are displayed. In the report, the time interval is set during which the information regarding movement intensity in the frame will be analyzed. The heat map superimposition mode allows to generate the heat map not only in the frame, but also on the facility plan.

Details🔗

For the correct operation of the module, it is required to properly place and set up the camera, enable and adjust the software motion detector and the module itself.

Compatibility with other modules🔗

Requires Eocortex motion detector

Neural Networks

Compatible with modules

Incompatible with modules

Standard

Special

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–

–

  • Auto Zoom

  • Loud sound detection

  • Fire and Smoke Detection

  • Face Mask Detection

  • Sabotage Detection

  • Crowd Monitoring

  • Personnel Activity Monitoring

  • Shelf Fullness Check

  • Uniform Detection

  • Face detection

  • Abandoned object detection module

  • Fall Detection

  • Emergency Vehicle Detection

  • Counting People in Queue

  • Object Classification and Counting

  • People Counting

  • Unique Visitor Counting

  • Search for Objects

  • Frame Area Blurring

  • License Plate Recognition

  • License Plate Recognition (Complete)

  • Face Recognition (Complete)

  • Face Recognition (Light)

  • Tracking

  • ⚠ Fisheye dewarping module

–

√

supported and required for the module to work

+

supported and provides additional features of the module

–

not supported or not required for the module to work

⚠

not recommended for use with the current module

Usage🔗

Use of the module in the Eocortex Client application.