At REM People, our AI-powered solutions for the retail sector are making an impact not only in the business world but also in academic circles. Most recently, our study was accepted into the prestigious International Conference on Machine Learning and Applications (ICMLA) 2025 program—further strengthening our position in the global tech landscape.
The accepted paper is titled: “Single View Shelf Image Rectification with Homography Estimation”
This project presents a deep learning model capable of identifying all products (SKUs) from a single shelf image.
Technical Depth: This model combines image processing and homography-based rectification techniques to deliver breakthrough capabilities in shelf analytics. Key features include:
Being recognized by academic literature validates both the R&D strength of REM People and the scientific rigor behind our retail tech solutions.
Academic Recognition, Industry Power
Being featured at a respected platform like ICMLA proves our company creates value not only through commercial success but also through scientific contributions. It also underlines that a Turkey-based tech company can hold a globally influential position.
Our Vision for the Future
We aim to scale this model to multiple countries, tailor it to industry-specific needs, and redefine the standards for real-time shelf management. With an open stance toward academic collaboration, we look forward to building stronger ties with universities, research institutions, and the broader tech ecosystem.
