
High-Precision Vision AI for Intellectual Property Protection:
MarkNow Trademark Recognition Solution
This project was undertaken to develop an automated trademark detection and similarity analysis platform that integrates cutting-edge Computer Vision and deep learning technologies to revolutionize the efficiency of intellectual property management.
MarkNow goes beyond simple image matching: the AI model converts input trademarks (logos/symbols) into high-dimensional vector feature embedding data and quantitatively calculates similarity against existing registered trademarks.
Technically, YOLO-based object detection algorithms are precisely combined with CNN-based feature extraction networks to achieve accurate trademark identification even within complex images.
Advanced data augmentation and preprocessing techniques were applied to handle various environmental variables, maintaining recognition accuracy above 90% even under low-resolution or poor lighting conditions.
Through this system, TOSKY completed an intelligent IP solution that enables early identification of duplicate and similar trademark issues during new trademark registration and dramatically improves the efficiency of legal and administrative review processes.
Key Features or Highlights
Precision Object Detection
Accurately identifies trademark locations
within images and extracts unique
feature points through state-of-the-art deep learning networks
Converts trademarks into numerical data
and derives objective, quantitative
similarity scores against existing databases
Ensures stable accuracy above 90% even
under challenging conditions such as angle
and resolution variations through data augmentation