Art education on the go: Point smartphone at sculpture for story


Sick of bending down in galleries to read artist information printed on tiny wall plaques? A number of technology companies are busy developing smartphone apps that will make learning about art as simple as pointing your phone at it.

Google Goggles. Image from

Google Goggles. Image from

Omniar, currently in beta, is working on software that will allow customers to create customisable object recognition apps relevant to their particular situtation or need. Images are uploaded by the customer to an online account which can then then be linked to product information.

The software, as suggested by Omniar, could be used by art “museums to easily deliver interesting and informative content, helping visitors to understand pieces in the context of their larger stories. For museum goers, learning more about pieces that pique their curiosity is as simple as pointing a smartphone and clicking.”

Click here to sign-up for Omniar’s Beta Notifications.

Autonomy CEO Mike Lynch uses object recognition software Aurasma. Image from

Autonomy CEO Mike Lynch uses object recognition software Aurasma. Image from

Reliable and wide-ranging object recognition is a relatively new technology but one that is developing rapidly. Because barcodes are not employed, images of objects must be connected to an extensive information database to ensure reliable recognition.

Other companies are developing products similar to Omniar’s, including Autonomy’s Aurasma, Google’s Goggles and Nokia’s Point & Find. Google is currently working on a face recognition app that is bound to cause controversy, and LookTel is an app designed for the visually impaired that recognises objects and tells you what they are by voicing them through a smartphone.

LookTel. Image from

LookTel. Image from

What uses can you see for object recognition software within your art business or practice? We would love to hear your thoughts, so leave a comment below.


Related Topics: resources, art and the Internet

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