Business Use case

Identify empty shelves for easier stocking and identify products that sell out faster.

Client

Computer Vision giant in the Bay Area.

Deployed in production at over 2 locations in the US.

Use cases solves

  1. Shelf Detection: Detect the inventory shelf boundaries using Image Processing.
  2. Dense Object Detection: Detect highly dense objects like bottles, packets, anditems on ashelf.

Technologies Used

TensorRT, CUDA-X, PyTorch, Python, C/ C++, Kafka, Django, Flask, Statistical Machine Learning.