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The length, width, and height of baked goods can all be thoroughly inspected using 3D shape examination.
High-resolution 3D data is produced on the items being inspected by the use of 3D profile lasers.
It can incorporate the inspection into the manufacturing procedure at a rate of up to 40,000 units per hour.
A thorough inspection can be guaranteed even on broad conveyor belts because of the use of 3D profile sensors that are scaled to the needs of their production.
The Global 3D shape inspection system market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
ABB launched a functional module for 3D quality inspection. In order to inspect all of the manufactured components, ABB’s 3DQi new In-line sensor combines structured-light technology’s precision and repeatability with an industrial robot’s speed and flexibility.
High-level quality inspection can be accomplished during the production processes with the help of the 3DQi In-line solution, allowing for the control, detection, and correction of errors right where they occur.
The solution is a component of ABB’s plan to create future production cells with robots performing manufacturing chores and simultaneously inspecting the parts for quality.
When necessary, 3DQi provides a quick solution to examine 100% of manufactured parts and can be placed at the end of the production line to check the quality of all manufactured parts.
The primary element of the ABB solution is the 3DQi optical scanner, which measures points on the surface of the part and calculates their three-dimensional coordinates.
Without any physical contact, the measurement is done by creating a high-density digital twin of the item using only structured light to determine its geometry.
The solution uses machine learning algorithms for shape and aspect analysis along with 3D data from the 3D optical scanner that was used to record the data for geometrical analysis.
On black and/or shiny parts, xEDR technology makes it simple to record data. A faster configuration of the work volume is provided by the single camera sensor, which also lowers the number of superimposed views.
