Blippar can tell a car better than you can
【Summary】Blippar announced its new automotive recognition technology today, which can recognize any car after the year 2000 in the U.S. market.
Walking down the street, you might see a lady wearing a beautiful dress but do not know what brand it is, or suppose you're watching a television show and want to know who is that actor is --visual search, if perfectly realized, can be a very powerful tool in our daily life.
Blippar announced its new automotive recognition technology today, which can recognize any car after the year 2000 in the U.S. market.
Using the Blippar app, locate any U.S. made car in a magazine, on the street, or in a video, regardless if it's moving or not, the app will recognize the year, make and model of the vehicle, then unlock an augmented reality experience.
The AR experience will display a car's average consumer rating, price, and a 360 degree view of the vehicle's interior--all as if you are walking into a car showroom. Moreover, users can get additional information from trusted online resources, including expert reviews, styles, technical specifications, and related cars, thus providing a thorough and detailed experience.
"Blippar's automotive recognition launch marks the transition into a new arena of experiences that provide invaluable information and insights for a variety of verticals. I am very proud of what we have achieved in terms of recognition accuracy for make, model and year for both new and old cars...This is where the power of an augmented reality browser lies." Ambarish Mitra, CEO and Cofounder of Blippar said in the company statement.
Blippar claims that the accuracy of its visual detection can reach 97.7%, making it the highest in the industry.
Founded in 2011 and headquartered in London, UK as a tech startup, Blippar specializes in augmented reality, artificial intelligence, and computer vision. Originally launched as an AR platform for brands and publishers, the company has now put its focus on visual search. It built up a visual search engine during the last year to identify unlabelled objects such as a table, chair, a cup, etc. Detecting cars is the company's latest offering.
"These vertical layers give greater detail and further content experiences. This mimics the way in which the human mind develops, from identifying a car as an infant to identifying makes, models, and years as we mature." The company stated on its website.
Blippar is also launching its API product, allowing any interested business parties to integrate this automotive identification technology into their own apps, such as used-car sellers and insurance companies. The buyers can pay on a performance basis.
The startup has ten offices around the world, including New York, Mountain View, CA and Tokyo. So far, the company has collected $99 million in funding from Qualcomm Ventures and Khazanah Nasional.
Claire Peng has over 6 years of professional experience in the media industry, covering TV, newspaper and online media. She was once a reporter and producer for Fairchild Television based in Toronto Canada, and worked as an English news reporter for the Global Times in Beijing. She writes mainly about self-driving, companies investment, and the enterprise lab.
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