Best defined as the most advanced platform for Trademark journal watching using latest AI technique, MyTrademarkEyes ensures trademark owners to watch latest accepted marks and file timely opposition to prevent loss of brand value. What makes the platform stand out is the deployment of the latest AI and Machine learning technologies to explore different concept combinations within an image to convert it to textual format.
“MyTrademarkEyes offers image or text search. All you have to do is just upload your design and get an instant list of similar trademarks registered in India that may be potentially infringing. Our AI-powered image recognition technology provides better means for brand protection to our clients,” says Govind Kedia, Owner of MyTrademarkeyes.
How did it Start?
Investing in trademark protection is one of the wise ways to ensure brand protection. However, in some instances, imitators choose the name of the company or product similar to an existing product/company or make minor modifications by adding a word before or after the name of a well established brand which leads to brand erosion and consumer mistrust. The established brands essentially end up with inadequate trademark protection even after investing heavily in registering trademark only because they failed to keep a watch on possible infringers, or the watch was being undertaken by a human which is an inefficient, error prone approach.
Computer vision and machine learning powered mytrademarkeyes enables trademark journal watch and Prompt opposition filing to prevent loss of brand value
MyTrademarkEyes is based on computer vision technology which helps in evaluating more than 1000 features of an image, but it is machine learning that guides the computer to understand the semantics of all the visual elements within an image. Together these two technologies can achieve human perception but error free image processing. The system is trained to look through a database of millions of trademarks, predict and rank the similar trademarks based on higher visual similarity. Companies can order searches on the platform, receive timely alerts to potentially infringing marks, and raise requests for filing opposition, all on the same platform," he informs.
While the existing manual processes to identify infringing marks is obsolete, time consuming, and incoherent owing to human bias, MyTrademarkEyes with its AI-powered, computer vision technology-enabled system economizes 1000 of hours of trademark enforcement and monitoring. The technology understands the semantic meaning of sub icons within a logo, making trademark monitoring more accurate while retaining the human perception quality at the same time. The team has incorporated the latest in computer vision and machine learning techniques to upgrade trademark journal watching to protect brands and ensuretimely opposition in case of infringement.
Over the years, MyTradmarkEyes has successfully integrated image recognition technology to spot similar image marks without any codes, queries, or keywords and replacing human coding errors with vision technology accuracy. It has leveraged AI-powered image recognition software to correctly identify trademarks that may be potentially infringing.
For the coming years, Arctic’s vision is to create an IP Consultancy that understands both business and IPR. It offers low overhead and highquality business model with proven quality control measures with access to leading patent/non-patent databases, expertise in operating analytics suits, support to startups and SMEs, and generating cost effective business focused IPR portfolios. It has extensive experience of working in European, US and Asian markets and understand the protocols of different cultures."LegalTech offers an incredible opportunity for innovation, developing smarter tools to make the system easier and workflow more integrated and accurate. Exploring a partnership between both IP domain-specific expertise and image recognition tech will ensure reduced costs as well as enhance efficiency. We plan to extend this to a lot of countries such as the UK, Brazil, South Africa, Russia, USA, Europe, and many others,” he concludes.