Vispera ShelfSight

Vispera ShelfSight

Vispera ShelfSight is an image recognition-based visible inventory monitoring solution for grocery retail. With shelf-facing cameras and cutting-edge image recognition algorithms running on Intel hardware, Vispera ShelfSight provides a complete solution for detecting out-of-stock and non-compliance events, calculating shelf share and reading price tags with exquisite accuracy and detail in real-time. This complete solution for real-time grocery shelf monitoring is powered further by in-store productivity tools and cloud-based descriptive and predictive analytics. With accurate product availability data taken on-demand and at regular time intervals, it will pave the way for data-driven shelf replenishment workflows as well as preemptive out-of-stock alerts and real-time sales prediction. Vispera ShelfSight is designed as integration-ready to emerging grocery store IoT platforms.

*Please note that member solutions are often customizable to meet the needs of individual enterprise end users.



  • Grocery product detection and recognition
  • Shelf Out-of-stock Event detection
  • Planogram scoring
  • Price tag detection and reading
  • Person detection


Worldwide Intel® FPGA Intel® Xeon Scalable TensorFlow Retail Models can be trained - requires labeled data Linux Intel® Math Kernel Library (Intel® MKL) Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) Intel® Distribution of OpenVINO™ toolkit Faster RCNN InceptionV3 LSTM ResNet50 Image/Object Detection/Recognition/Classification Factory Automation Video Surveillance and Analytics Deep Learning Machine Learning