Image Inspection

Supports image analysis and inspection by adding bounding boxes, assigning classes/statuses, measuring dimensions, and displaying custom data on top of images.

Overview

The Image Inspection component in the Cloneable platform allows you to inspect and analyze images. Upload images and perform inspections by adding and manipulating bounding boxes. It supports AI assistance, depth-based measurements, and customizable data display. With its intuitive interface, you can easily analyze images and extract valuable information for various purposes such as damage assessment, measurements, and more.

Functionality

The Image Inspection component enables you to upload an image and perform various inspection tasks. You can add bounding boxes to the image and assign them to different classes or statuses, such as "damage" or "not damage." These bounding boxes can be moved and resized on the image as needed. The component also supports prepopulating bounding boxes using AI, reducing manual effort. Additionally, if you have depth data available (from LiDAR), the component can automatically measure the height and width of each bounding box and display these measurements. There is an option to snap measurements to foreground objects, like trees, for more accurate measurements. The component allows customization by displaying custom data on top of the image.

Inputs	Outputs
Image: You can upload an image for inspection.	Bounding Box Data: The component outputs the position, size, and assigned class/status of each bounding box.
Bounding Boxes: You can add bounding boxes manually or pre-populate them using AI.	Measurements: If depth data is provided, the component outputs automatic measurements for the height and width of each bounding box.
Depth Data: If available, depth data can be inputted for accurate measurements.
Custom Data: You can input custom data values for display and analysis.

Using the Image Inspection component, you can easily inspect images, identify specific areas of interest using bounding boxes, and assign classes or statuses to them. The component supports manual or AI-assisted bounding box creation. It also offers automatic measurements based on depth data, displaying the height and width of each bounding box. By customizing the component, you can add additional data on top of the image for further analysis. The interface provides a user-friendly way to conduct image inspections, utilizing AI and visualization features to enhance the process.

Example