Case Study: a trademark-related services and legal compliance consulting client achieves automated trademark similarity search with InData Labs

A trademark-related services and legal compliance consulting client automates trademark similarity search with InData Labs, reducing manual workload

The client, a trademark-related services and legal compliance consulting firm, needed to automate the exhausting manual process of searching for visually similar or plagiarized trademarks. They engaged InData Labs to develop a product recognition software solution, specifically seeking expertise in visual search to create an algorithm for trademark similarity detection.

InData Labs implemented a computer vision solution using machine learning and PyTorch. Their team developed a neural network model that generates image embeddings to measure visual similarity and conducted extensive experiments, including high-and low-level graphical processing and OCR. The result was a powerful visual search engine that automated trademark similarity and brand plagiarism detection, which significantly sped up workplace processes and reduced the workload on the client's employees.