1. Advanced Visual Analysis

2. Agenda 2 Visual Relations How Text Analysis works –Do we have a match? –OCR assumptions –My text is not found, what should I do?

3. Visual Relations 3 The Need: We would like to click on the Free button of the PayPal application The Problem(s): 1.The Free button is not unique on the screen 2.We can’t assume that the PayPal application download will always remain as the fourth one in the listing. The Solution: Using Visual Relations!

4. How to Use Visual Relations - Instructions 4 Using the example on the previous page:

5. Understanding the Relationship Between Needles 5 What does this mean? The First Needle, which is the application image is... left and horizontal to the Second Needle, which is the 'Buy Now' button

6. Text Analysis - How It works 6 System finds text on screen and compares it to the needle (required text) OCR is not an exact science so comparison allows for imperfect matches –The number of characters that are “forgiven” is relative to the length of the string NeedleThreshold %Characters 1520 2540 3561 4581 5602 6622 7642 8662 9682 10703 11723 12743 13743 14743 15743 16744 17744 18744 19745 20745

7. Best Practice 7 Always type in the full string you are searching for When a 100% match is required, use the Threshold parameter to override the system's calculation –For example, where there are similar strings on the screen (Row1, Row2)

8. More Text Analysis info 8 How we analyze text, by default –White Spaces are ignored –Punctuation is ignored –Capitalization is ignored –It is possible to override when needed Whole Words – accept a word within a word e.g. Define whether 'person' in 'personal' is a good match or not. –Accepted by default.

9. Finding the text on the screen - OCR 9 Turn on OCR Profiles Try all the profiles with the word accuracy –Per profile, try changing the DPI –Default is 96, try using 300, then 120

10. Thank You