Google Acquired Image Recognition Startup Moodstocks
Recognition methods have long been in use to connect elements of physical world with the digital realm. We often see instances of recognition in the form of Facebook’s tagging option, Apple’s Siri and Google’s image recognition in its Reverse Image Search etc.
You can search for a relevant item or its multiple presence over the internet by searching it via Google’s image search. Your friend’s tag recommendations also come up as soon as Facebook recognizes your friend’s face in an image. Moreover, other forms of recognition by a digital platform has revolutionized the we share information and react with our machines.
Image recognition helps us identify physical objects or its instances in the digital realm. Such recognition solutions help bridge gaps and aim to achieve some form of synchronization between digital and physical realm. Such solutions also help those who are in need of finding or identifying an object with the help of ginormous archive of digital data over the internet.
Google being forerunner of innovations in the digital field is leaving no stones unturned. Other than IBM & Amazon, Google is also among the leading ones to extensively work on Machine Learning and Artificial Intelligence. In light of that, Google has recently acquired Moodstocks, an instant smartphone image recognition startup to enhance their machine learning capabilities.
Moodstocks is “on-device image recognition” software for smartphones which will be phased out as it joins Google. Moodstocks’ statement reveals their purpose and objective behind development of an on-device image recognition smartphone application.
“Ever since we started Moodstocks, our dream has been to give eyes to machines by turning cameras into smart sensors able to make sense of their surroundings” – Moodstocks
Checkout the image-recognition technology in action below:
By joining Google, Moodstocks will be highly resourceful for android users to accurately find objects via smartphones and make use of that information with ease. We can’t wait to get our hands on to it in near future.
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