About Project
This project focuses on inventory management in a retail store. It involves identification of products by detecting the each product's logo label stacked on the shelf.
Client
HCL Technologies Limited
Category
Computer Vision Algorithm Backend Development
Key Highlights
- Developed an algorithm using cascaded feature extraction and matching for multi-instance pattern localization to detect product labels in retail store rack images.
- Database also incorporated transparent, textured and blurred product label images.
LIBRARIES AND TOOLS
- OpenCV
- Scikit-learn
- Numpy
- Matplotlib
- Captured retail store rack images