Advanced Ui Automation Flashcards
What is AI Computer Vision in UiPath?
AI Computer Vision is a set of UiPath activities that utilize machine learning models to analyze images and extract information like objects, text, and visual elements.
What are some core functionalities of AI Computer Vision activities?
Some core functionalities include:
- Image Classification: Categorizing images based on predefined classes (e.g., identifying product types on a website).
- Text OCR: Extracting text from images like receipts, invoices, or screenshots.
- Object Detection: Locating and identifying specific objects within an image (e.g., finding buttons or logos on a user interface).
How can you use the Image Classification activity?
Use the Image Classification activity to categorize an image based on a pre-trained model. You need to specify the model you want to use and the expected output classes.
What is the purpose of the Find Image activity?
The Find Image activity searches for a reference image within another image or on the screen. It can be helpful for locating UI elements for automation interactions.
How do you perform Optical Character Recognition (OCR) on an image using UiPath?
Utilize the Text OCR activity. Configure the activity with the image you want to extract text from and optionally specify the language of the text for improved accuracy.
How can you leverage the Computer Vision activities with dynamic elements?
Combine Computer Vision activities with other UiPath functionalities to handle dynamic elements. For example, use OCR to extract a button label before clicking it.
What are some potential applications of AI Computer Vision in UiPath automation?
- Extracting data from invoices, receipts, or other documents.
- Automating web scraping based on visual elements (e.g., product information on a website).
- Verifying UI element presence and location during automation execution.
What are some considerations when using AI Computer Vision activities?
- Model Accuracy: Pre-trained models might not be perfect, so consider testing and potentially training custom models for specific needs.
- Image Quality: Image clarity and resolution can impact recognition accuracy.
- Processing Power: Computer Vision activities can consume more resources, so optimize your workflows for efficiency.
Where can you find pre-trained models for AI Computer Vision activities?
UiPath offers a library of pre-trained models within Studio, and you can also integrate with custom models trained using platforms like Microsoft Azure Cognitive Services.
How can you improve the accuracy of text recognition with OCR?
Experiment with different OCR engine options within the Text OCR activity and consider using a pre-trained model specifically designed for the type of text you are extracting (e.g., invoices).
What are some common use cases for Remote Runtime automation?
- Automating tasks in legacy applications not accessible through the web.
- Performing data entry or scraping within virtualized environments.
- Automating repetitive tasks within Citrix or RDP sessions.
How does the communication flow between Studio and the remote application work?
Studio communicates with the Remote Runtime component on the remote machine. The Remote Runtime then interacts with the corresponding UiPath Extension to automate actions within the remote application.
What is UiPath Remote Runtime?
iPath Remote Runtime is a component that facilitates communication between UiPath Studio and applications running on remote desktops or virtual machines.
What are the benefits of using Remote Runtime for automation?
- Automate tasks within applications that cannot be directly accessed by Studio.
- Standardize processes across different virtual desktop environments.
- Improve security by isolating automation execution from the development environment.
What are some limitations of using Remote Runtime automation?
- Increased complexity compared to automating desktop applications directly.
- Potential performance overhead due to communication between Studio and the remote machine.
- Reliance on the stability and connectivity of the remote environment.