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.
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.
•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
Install the Chart
helm install data-captor data-captor/
LAST DEPLOYED: Tue Dec 7 05:38:21 2021
TEST SUITE: None
helm uninstall data-captor
release "data-captor" uninstalled
Where to Purchase
Optimized for Intel® Smart Edge
VSBLTY DATACAPTOR APP
Retrieve Container Images and Helm Charts
Containers: <Contact VSBLTY>
Pre-load Docker Images on Nodes
docker image load -i <image provided by VSBLTY>