Feature Requests

This feature proposes adding the ability to pause and resume processing on a per-queue basis. Implementing these controls would provide operators with greater flexibility and control over their workflow, allowing them to manage processing more effectively based on current needs. With per-queue pause/resume functionality, ope...

This feature aims to enhance the reporting of color performance metrics, specifically focusing on DeltaE values (Average, 90th, Max) in relation to selected imaging guidelines, such as FADGI and Metamorfoze. Currently, checkmarks indicate compliance with criteria for the selected standard, but this can lead to confusion. For...

We propose removing the Identify Light functionality, as it seems redundant now that the Edit Name function automatically triggers this action. By eliminating this feature, we can simplify the user interface and reduce potential confusion.

This feature proposes the enhancement of AI Crop to accommodate images shot at a rotated angle, allowing operators to efficiently crop objects that have been intentionally captured at an angle, such as roughly 30 degrees to mitigate moiré patterns. The implementation would enable operators to rotate the images back to square...

This feature proposes the ability to tag completed fusion pairs in Capture One for improved organization and efficiency. Tagging these pairs would simplify the workflow for operators, allowing them to easily identify which images have already been fused and preventing them from being queued again. Given the current challenge...

This feature aims to enhance the AI Crop functionality by flagging unusual objects for review. The software will notify users when it detects potential issues with cropping, allowing for thorough verification. For example, the system could flag images under the following conditions: - When an object is detected that is not ...

This feature would allow users to interrupt the color profile creation process by terminating the subprocess and ending the job. This capability would provide greater control over the workflow, enabling users to stop the profile creation if needed.

AI Crop settings, such as padding, should be retained when the app is closed and reopened.

Currently, the target overlay is constrained inside of the image. In a situation when a target isn't found and needs to be manually positioned, the constraint poses challenges which make it difficult or impossible to get the overlay in the right place. 1. If the target is at the edge of the image, it may be impossible to get...

When manually placing a target overlay, there is no indication of which side is the top. This is particularly a problem for the NGT2, which is symmetrical.

This feature proposes a "Seamless Gutter" option for cropping bound material, such as books and magazines, with AI Crop. It ensures that the two split files meet seamlessly at the gutter point with no overlap of pixels.

This feature proposes the addition of a symmetrical padding option for AI Crop. Currently, users must enter individual values for each of the four sides when applying asymmetrical padding. With the new symmetrical padding feature, users would be able to enter a single value, which would automatically apply to all sides of the...

This feature proposes to enhance the existing AI Crop padding functionality by allowing users to specify padding values in inches or millimeters. By providing this option, users can achieve more precise control over the padding applied to cropped images, catering to specific size requirements.

This feature proposes extending the existing AI Crop padding functionality to allow users to specify padding values as a percentage instead of pixels. By implementing percentage-based padding, users can achieve more flexible and responsive cropping, ensuring that the padding adapts dynamically based on the size of the image.

This feature aims to develop an image stitching capability that meets high performance standards, including support for batch processing. The goal is to provide users with a robust solution for seamlessly combining images.

This feature would introduce audio feedback during the capture process to enhance user awareness. The system would provide audible alerts for unsuccessful captures, such as beeps when a hand is detected in the frame or if there is a change in focus. This real-time feedback would help operators quickly identify issues, leading...

This feature would enable users to automatically fuse Fusion images at the time of capture, eliminating the need for manual processing at the end of a job. Currently, the standard option captures white/sapphire images as RAW files and saves them directly to the capture folder without automatic processing. The proposed autom...

This feature proposes using Object Level Targets (OLTs) as validation targets within the profiling and validation tools. While OLTs may not be ideal for profile creation due to their fewer color patches, including them alongside Device Level Targets (DLTs) would provide independent validation of results. In the validation to...

This feature aims to facilitate the comparison of results between ICC profiles and Fusion profiles. The system would calculate the deltaE between the ICC profile and the Fusion results, highlighting the improvements achieved. An additional toggle called "Fusion" would be added to the Profile Results screen, right after the H...

AI Multi-Crop would enable users to define multiple Regions of Interest (ROIs) within a single capture, allowing each ROI to be treated as a distinct object for AI cropping. This feature is ideal for scenarios such as digitizing scrapbooks, 24 slides in a slide sheet, or 9 postcards on a DT Atom black top, where multiple obje...