ANO19_InspektoCasting

Ensuring accuracy for Metalpol’s casting measurements

It is well known that human inspection is not 100% effective. Fatigue, distractions, and boredom conspire to prevent defects being spotted, particularly if those defects are not obvious. Detailed examination, potentially using templates, images or taking measurements, is a time-consuming process and manual inspection is not suitable for use in a production line with large numbers of components.

The latest Advanced Scanning Technology works at any size

The Inspekto autonomous machine vision system uses a camera and a powerful AI (Artificial Intelligence) image processing system to spot defects whilst minimising false positives. The system is trained using good components and can be configured to ignore parts of the product which differ by design (such as serial number labels). It is tolerant of orientation and positioning and is capable of scanning components placed in the camera’s field of view and on a conveyor belt at rates exceeding 40ppm.

Following casting and machining of gearbox housings, the components need to be inspected to ensure that no damage or defects have occurred.
Finished housings are positioned by robot for visual inspection for defects such as dents, scratches and castings issues; surface texture and shading differences are acceptable but issues with mating surfaces and bearing recesses will result in rejection for rework or scrap. Where defects are found, these are identified in red on the displayed or recorded image to facilitate rework.

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Inspekto S70

The S70 can be used on many materials/components including Electrical Components, Metal, PCB’s, plastic, and rubber. This capability makes it an ideal solution for products such as injection moulded components where it can identify sink marks, pores, dents and flashing, electrical connectors-presence/missing/position, soldering on pcb’s, integrity & milling swarf in metal components, position and presence of labels, verification of coatings and O ring placement or missing.

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