Birdi’s AI Object Removal tool allows users to remove unwanted objects from imagery directly within the platform.
This feature is designed to help clean up imagery for sharing, reporting, inspections, and presentation workflows.
What is AI Object Removal?
AI Object Removal uses machine learning to detect and reconstruct areas of an image after selected objects have been removed.
This can help teams produce cleaner, more focused imagery while maintaining the original spatial context of the scene.
Potential removable objects may include:
People
Vehicles
Licence plates
Temporary equipment
Site clutter
Background distractions
Potential use cases
AI Object Removal workflows can vary significantly depending on the organisation, industry, and type of imagery being captured.
Common areas of interest include:
Privacy & Compliance
Removing licence plates or identifiable information
Preparing imagery for public release
Supporting internal compliance workflows
Reducing sensitive visual information in shared datasets
Inspection & Asset Reporting
Removing temporary obstructions from inspection imagery
Focusing attention on defects or infrastructure assets
Producing cleaner client-facing reports and deliverables
Construction & Operational Environments
Removing vehicles, personnel, or temporary machinery
Simplifying progress imagery
Improving visual clarity across busy work sites
Real Estate & Presentation Workflows
Cleaning up property imagery
Reducing distractions in marketing or presentation material
Creating clearer visual communication for stakeholders
How the feature works
The AI tool identifies selected objects within an image and reconstructs the surrounding area automatically.
The original image remains unchanged.
Results may vary depending on:
Image quality
Object size
Background complexity
Lighting conditions
Best results are typically achieved on:
Smaller objects
Consistent backgrounds
High-quality imagery
Important notes
AI Object Removal is currently considered experimental/prototype
Availability may vary by organisation or workspace
AI-generated edits may not always produce perfect results
Large or complex objects may require additional refinement
Some workflows may still require manual review or editing
Interested in learning more?
If you would like to explore AI Object Removal for your organisation, contact the Birdi team to discuss your workflow requirements and potential implementation options.