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VSBLTY DataCaptor™ Anonymous Audience Measurement & Impressions Metrics

VSBLTY DataCaptor™

VSBLTY DataCaptor™

DataCaptor leverages camera and sensor technology through AI tools (machine learning and computer vision), enabling real-time analytics and anonymous audience data based on who and what the camera sees.

Overview of VSBLTY

VSBLTY is the world leader in Proactive Digital Display, which transforms retail and public spaces as well as place-based media networks using SaaS-based audience measurement that uses artificial intelligence and machine learning to enhance customer engagement and provides complete audience measurement.

Application Description

For retail and other spaces, DataCaptor measures all elements of the path to purchase using advanced optics and sensors that give you objective, qualitative measurement, and analysis. Not only does DataCaptor report demographics like gender, age range and sentiment, but it also gathers key analytics including dwell time, total impressions, unique visitors (people looking at the screen), content interaction, footfall traffic, and heat maps.


Minimum Requirements

Intel Core i5 Latest Generation
8GB of RAM
128 GB Storage in m.2 SSD
HD or greater USB, IP or network camera
Supports up to one UHD Display, two HD cameras (four cameras when using HD display)



VSBLTY’s DataCaptor application is available in the OpenNESS-edgeapps repository. To obtain it, just clone the repo.

$ git clone https://github.com/open-ness/edgeapps

Then, into applications/data-captor folder there is helm chart folder for installing it

OpenNESS Configuration

Install the Chart

helm install data-captor data-captor/

Test Output

NAME: data-captor
LAST DEPLOYED: Tue Dec 7 05:38:21 2021
NAMESPACE: default
STATUS: deployed

Uninstall Chart

helm uninstall data-captor

Test Output

release "data-captor" uninstalled

Where to Purchase

Optimized for Intel® Smart Edge



Retrieve Container Images and Helm Charts

Containers: <Contact VSBLTY>
Helm Charts:

Pre-load Docker Images on Nodes

docker image load -i <image provided by VSBLTY>