Graphical element detection using a combined series and delayed parallel execution unified target technique, a default graphical element detection technique, or both
Graphical element detection using a combined series and delayed parallel execution unified target technique that potentially uses a plurality of graphical element detection techniques, performs default user interface (UI) element detection technique configuration at the application and/or UI type level, or both, is disclosed. The unified target merges multiple techniques of identifying and automating UI elements into a single cohesive approach. A unified target descriptor chains together multiple types of UI descriptors in series, uses them in parallel, or uses at least one technique first for a period of time and then runs at least one other technique in parallel or alternatively if the first technique does not find a match within the time period.
1. A non-transitory computer-readable medium storing a computer program, the computer program configured to cause at least one processor to:
analyze a user interface (UI) at runtime to identify UI element attributes for one or more UI elements;
compare the UI element attributes to UI descriptor attributes for an activity of a robotic process automation (RPA) workflow using one or more initial graphical element detection techniques; and
when a match is not found using the one or more initial graphical element detection techniques during a first time period:
execute one or more additional graphical element detection techniques in parallel with the one or more initial graphical element detection techniques.
2. The non-transitory computer-readable medium of claim 1 , wherein when a match is not found using the one or more initial graphical element detection techniques and the one or more additional graphical element detection techniques during a second time period, the computer program is further configured to cause the at least one processor to:
execute one or more supplemental graphical element detection techniques in parallel with the one or more initial graphical element detection techniques and the one or more additional graphical element detection techniques.
3. The non-transitory computer-readable medium of claim 1 , wherein when a match is found, the computer program is further configured to cause the at least one processor to:
take an action associated with the activity involving a UI element of the one or more UI elements.
4. The non-transitory computer-readable medium of claim 1 , wherein the steps of claim 1 are repeated for at least one additional activity.
5. The non-transitory computer-readable medium of claim 1 , wherein the UI descriptor attributes comprise two or more of selector attributes, computer vision (CV) attributes, image matching attributes, and optical character recognition (OCR) attributes.
6. The non-transitory computer-readable medium of claim 1 , wherein the computer program comprises an RPA robot.
7. The non-transitory computer-readable medium of claim 1 , wherein the first time period is predefined.
8. The non-transitory computer-readable medium of claim 1 , wherein the computer program is further configured to cause the at least one processor to:
select a first result determined by a match from a first graphical element detection technique of the one or more initial graphical element detection techniques and the one or more additional graphical element detection techniques, the first result identifying a UI element of the one or more UI elements; and
take an action associated with the activity involving the UI element.
9. A computer-implemented method, comprising:
comparing, by a robotic process automation (RPA) robot executing on a computing system, user interface (UI) element attributes for one or more UI elements to UI descriptor attributes for an activity performed by the RPA robot from a workflow of the RPA robot using one or more initial graphical element detection techniques; and
when a match is not found using the one or more initial graphical element detection techniques during a predefined first time period:
executing, by the RPA robot, one or more additional graphical element detection techniques in parallel with the one or more initial graphical element detection techniques.
10. The computer-implemented method of claim 9 , further comprising:
selecting, by the RPA robot, a first result determined by a match from a first graphical element detection technique of the one or more initial graphical element detection techniques and the one or more additional graphical element detection techniques, the first result identifying a UI element of the one or more UI elements; and
taking an action associated with the activity involving the UI element, by the RPA robot.
11. The computer-implemented method of claim 9 , wherein when a match is not found using the one or more initial graphical element detection techniques and the one or more additional graphical element detection techniques during a second time period, the method further comprises:
executing, by the RPA robot, one or more supplemental graphical element detection techniques in parallel with the one or more initial graphical element detection techniques and the one or more additional graphical element detection techniques.
12. The computer-implemented method of claim 9 , wherein when a match is found, the method further comprises:
taking an action associated with the activity involving a UI element of the one or more of the UI elements, by the RPA robot.
13. The computer-implemented method of claim 9 , wherein the method of claim 9 is repeated for at least one additional activity.
14. The computer-implemented method of claim 9 , wherein the UI descriptor attributes comprise two or more of selector attributes, computer vision (CV) attributes, image matching attributes, and optical character recognition (OCR) attributes.
15. The computer-implemented method of claim 9 , further comprising:
analyzing, by the RPA robot, a UI at runtime to identify the UI element attributes.
16. A computing system, comprising:
memory storing computer program instructions; and
at least one processor configured to execute the computer program instructions, wherein the computer program instructions are configured to cause at least one processor to:
compare user interface (UI) element attributes for one or more UI elements to UI descriptor attributes for an activity of a robotic process automation (RPA) workflow using one or more initial graphical element detection techniques; and
when a match is not found using the one or more initial graphical element detection techniques during a predefined first time period:
execute one or more additional graphical element detection techniques in parallel with the one or more initial graphical element detection techniques,
select a first result determined by a match from a first graphical element detection technique of the one or more initial graphical element detection techniques and the one or more additional graphical element detection techniques, the first result identifying a UI element of the one or more UI elements; and
take an action associated with the activity involving the UI element.
17. The computing system of claim 16 , wherein when a match is not found using the one or more initial graphical element detection techniques and the one or more additional graphical element detection techniques during a second time period, the computer program instructions are further configured to cause the at least one processor to:
execute one or more supplemental graphical element detection techniques in parallel with the one or more initial graphical element detection techniques and the one or more additional graphical element detection techniques.
18. The computing system of claim 16 , wherein the computer program instructions comprise an RPA robot.
19. The computing system of claim 16 , wherein the steps of claim 16 are repeated for at least one additional activity.
20. The computing system of claim 16 , wherein the UI descriptor attributes comprise two or more of selector attributes, computer vision (CV) attributes, image matching attributes, and optical character recognition (OCR) attributes.