Snehal Gamare

"Computer vision-based use cases for logistics and warehousing enabled by python, TensorFlow, OpenCV and neural networks”

1. Making machine vision a part of the warehouse management system can bring a significant return on investment in automation. Pallet detection and box counting using computer vision is challenging research area given 3dimensional nature where combination of few images may also not give full details.

2.Logo detection: that help to detect the exact product in the warehouse to recognize the product and differentiate the product.
3:Logo recognition : logo recognition is for to detected the exact logo with location.
4:Barcode reading: There are many standards and devices for barcode reading. Incoming products/boxes may conform to different standards. Additionally there are many other failure modes and performance related criteria for robust bar coding system. Research and prototyping work.

Working on Android Application