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TSanchez_1's avatar
TSanchez_1
Icon for Staff rankStaff
6 days ago

Object Recognition Challenges? Help Us Understand Your Use Cases

Hello TestComplete Community!

We’re working on a new Visual Object Detection (VOD) capability powered by AI, designed to make it easier to test applications where traditional object recognition struggles. This feature aims to help you reliably identify visual elements that are hard to detect today.

To make sure we’re building this in the most useful and relevant way, we’d love to learn more about your current challenges and use cases related to visual or hard-to-recognize objects. Your real-world scenarios will help shape how we design and prioritize VOD.

Feel free to share your thoughts by replying directly to this post, or send me a private message if you prefer.
Thank you in advance for your feedback we truly appreciate it!

Temil Sanchez
Product Manager

desktop testing
object recognition
test creation
tested applications
web testing

1 Reply

  • TSanchez_1's avatar
    TSanchez_1
    Icon for Staff rankStaff
    6 days ago

    For further context, one common scenario where Visual Object Detection can make a major impact is testing an interactive X-Y canvas, such as:

    • A drawing or sketch pad
    • A chart where users drag points to new positions
    • A design surface where objects can be moved or resized
    • Any UI where elements are placed dynamically on a grid

    In these situations, traditional object recognition often struggles because:

    • The elements are rendered visually on a canvas, not as standard UI components
    • Their positions change constantly
    • Objects may overlap, look similar, or appear only temporarily
    • There are no stable identifiers or accessible properties

    This can lead to test instability, false positives, or situations where the object can’t be identified at all.

    With AI based VOD, our goal is to reliably recognize these visual elements even when they move, change appearance, or exist only as pixels on the screen.