Neural network search for similar trademarks «Gardium»
A comprehensive image analysis system based on computer vision technology:
Search for similar images in our own database of registered trademarks by class according to the International Classification of Goods and Services (ICGS).
«Gardium» — Patent and Law Office
A neural network for searching for similar images
Image filter for allocation to the classes of the ICU
An algorithm for analyzing and marking up images in the client base
The service helps avoid litigation over intellectual property rights, as well as fight plagiarism and patent trolls.
How it works
A company asks Gardium to register a trademark: Sends a photo or PDF file
A neural network searches for similar images among those selected by the algorithm
"Gardium" assesses the uniqueness of the trademark, begins registration
The algorithm selects images in the database based on the specified class
"Gardium" loads the image into the search, specifies the class of the ICU
When searching for similar images, the neural network takes into account colors, shapes, secondary elements (e.g., background), and other attributes. The top of the list displays the images with the greatest number of matching features.
Lack of marked-up data for training and testing the neural network.
An algorithm that classifies images independently. Using its markup, we trained a neural network.
Stages of development
Data exploration (marking images in the client's database for future searches)
Testing hypotheses about the search, selection of effective computer models
Training a neural network on data marked up by an algorithm
Implementing a classifier to assign images to classes
Testing the service inside EORA and on the client side
Development and service integration with the customer base via API
Examples of system operation
«We didn't have pre-labeled data to help the neural network understand which choices are correct and which are not. To train the neural network, we used the unsupervised learning method. The result exceeded our expectations. The search accuracy was very high, and the client was satisfied.»