Image Recognition

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The document discusses an image recognition plugin that allows macros to search for and interact with images on websites. It provides two commands: IMAGESEARCH to find an image on a page, and IMAGECLICK to simulate clicking on an image. These commands use image recognition technology to locate images based on their visual characteristics rather than coordinates. The document also provides examples of using these commands to automate interactions with flash-based chat applications.

Business Technology

Image recognition Plugin ,[object Object],[object Object],[object Object],The Image Recognition feature provides two new commands that use state-of-the-art image recognition technology:

IMAGESEARCH command ,[object Object],[object Object],[object Object],[object Object]

IMAGECLICK ,[object Object],[object Object],[object Object],[object Object],[object Object],The coordinates are in the {{!IMAGEX}} and {{!IMAGEY}} variables

Test Case ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Create Input Images “ inputbox.bmp” “ sendbutton.bmp” “ text.bmp”

Image Recognition Tips ,[object Object],[object Object],[object Object],[object Object],[object Object]

Demo ,[object Object],[object Object],[object Object]

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For the full video of this presentation, please visit: http://www.embedded-vision.com/industry-analysis/video-interviews-demos/introducing-ieee-low-power-image-recognition-challenge-lpir For more information about embedded vision, please visit: http://www.embedded-vision.com Yung-Hsiang Lu, Associate Professor at Purdue University, delivers the presentation "Introducing the IEEE Low-Power Image Recognition Challenge (LPIRC)" at the September 2015 Embedded Vision Alliance Member Meeting. Yung-Hsiang describes the objectives and details of the competition, the 2015 LPIRC results, and the upcoming 2016 LPIRC plans.

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