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This project is about design and implementation of Augmented Reality cloud recognition power platform for 3D Entity Objects.
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Combining with the characteristics of electric power operation site, to improve the on-site operation mode, through the interactive collaboration such as terminal multidimensional exhibition, backstage data fusion, and custom services, the clouds recognition system will provide grid on-site an automatic and intelligent new solution based on AR.
Integrated with cloud image recognition module, the response speed of image recognition module was improved by eliminating error matching point.
Proposing an improved SIFT feature matching algorithm integrated with cloud image recognition module, the response speed of image recognition module was improved by eliminating error matching point.
In the work, a C/S architecture-adopted RTS system is built based on cloud image recognition.
After RTS game system uploads the currently identified image to the cloud, the recognition system retrieves and identifies the image from database.
While that historic development is a great leap forward for our democracy, and a welcome reminder that large numbers of voters hunger for a politics of hope and connectedness, it should not cloud our recognition that we still have a long way to go in truly extending opportunity to all Americans.
The intelligent terminal management subsystem obtains augmented 3D model information of the cloud through image recognition.
A mobile application system has been designed and implemented which uploads plant photos to the cloud server for recognition based on the established plant library and speed up the process with the distributed location information.
"This is just a continuation of the existing communities product but the communities cloud is a recognition by salesforce.com that they are serious about helping companies target that ongoing conversation as well as connect communities to other parts of the business".
According to Nuance's head of mobile and consumer, Mike Thompson, the company's cloud-based voice recognition system, which is used by its own products and its white-label services to handle online language processing, has increased the number of users it serves 20 times in four years, from 6 million a month in 2010 to 123 million a month as of 2014.
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