TECH startup TrademarkVision has released its new 'deep learning' algorithm, which has enhanced its image recognition technology as the European Union Intellectual Property Office (EUIPO) becomes the first government organisation to begin using the product.
The integration of the algorithm into the Brisbane-based startup's image recognition technology allows it to detect objects, rather than just shape and texture in images.
Users can ensure that their itellectual property (IP) is unique, as the technology can search trademark images automatically - reducing a laborious, manual search process down to just seconds.
"When you come across a logo, it's easy to compare it with your own, but when you want to compare it to millions, suddenly the task becomes very daunting," says Trademark Vision founder and CEO, Sandra Mau (pictured left).
"For anyone who has ever wanted to create a unique logo or ensure their IP is safe from possible infringement, they know this process can take hours, days and sometimes weeks.
Based out of QUT Creative Enterprise Australia's (CEA) incubator, TrademarkVision was an early recipient of CEA's creative-tech Startup Fund.
The university is continuing to work closely with the startup aas it strives to scale out its technology to more government bodies across the globe.
CEO of QUT Creative Enterprise Australia, Anna Rooke (pictured right), says the growth of TrademarkVision is testament to how Australian creative-tech startups can be game-changing.
"TrademarkVision has developed a creative-tech solution that will implement high-level change as to how brands worldwide will manage their IP in the future," she says.
"Despite being the first to adopt the 'deep learning' algorithm, EUIPO isn't the only government entity using TrademarkVision, and the new year will see further announcements as they continue to change the course of the industry."
Trademark Vision has previously worked with IP Australia to redesign its intellectual property rights search engine.
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