Using artificial intelligence and machine learning, VisionCaptor delivers targeted display content at the point of purchase.
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 with SaaS-based audience measurement software that uses artificial intelligence and machine learning.
VisionCaptor brings interactive brand messaging to life on digital displays. Custom-triggered personalized content is delivered to digital displays based on who the camera “sees”. Using proximity aware sensor and anonymized facial analytics technology these displays help increase shopper engagement. VisionCaptor is built on VSBLTY’s latest edge computing framework v.Edge and optimized for Intel Core, Intel Xeon, Intel Movidius Myriad X and Intel SmartEdge. VisionCaptor is remotely managed in the cloud using v.Next, building a visual twin in our v.Next management platform which includes our CMS designer and end point manager.
•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 Vision-Captor 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/vc-app folder there is helm chart folder for installing it
Install the Chart
helm install vc-app vc-app/
LAST DEPLOYED: Tue Dec 7 05:38:21 2021
TEST SUITE: None
helm uninstall vc-app
Where to Purchase
Optimized for Intel® Smart Edge
Retrieve Container Images and Helm Charts
Containers: <Contact VSBLTY>
Pre-load Docker Images on Nodes
docker image load -i < image provided by VSBLTY>