#AWE2014

Nomination for Auggie Award: Best AR SDK

Catchoom-Image-Recognition-Link-Physical-To-Digital

Creator: Catchoom

Organization: Catchoom

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Description:

Supporting over 3 Million active users every month, Catchoom Image Recognition is fast, accurate, easy to use, and resilient. With our SDKs and example open source code or direct Recognition API, Catchoom allows developers, ISVs and integrators to give everyday objects a digital life. Our technology sets a new industry standard for 3D object recognition. Catchoom is not limited to recognition of flat or 2D Objects. Packaged goods, monuments and places can all be queried.

Catchoom’s scalable, cloud-based system is built for a massive database search while maintaining the fastest round-trip object recognition time (0.5 seconds) and lowest false positive rate (under 1%), as benchmarked by Layar. Even in the most difficult illumination conditions, Catchoom delivers. Our solution expands the reach of Augmented Reality because even feature-phones can connect to our cloud-based recogntion, taking AR beyond high-CPU powered devices.

With example client code for iOS, Android and Python (and more up coming), the Catchoom Recognition Service (CRS) allows developers to build a wide range of Image Recognition applications and services. Because we provide the means to integrate any tracking SDK into our solution, everything remains flexible. The CRS Recognition API conforms to REST (Representational state transfer) constraints. The CRS Management API enables bulk image upload and easy administration that provided scalability for developers beyond device limitations.

 

Where to find it:

http://catchoom.com/product/image-recognition-saas/

Platforms:

Mobile

Additional Screenshots:

CATCHOOM_APP_NEXUS

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