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  • AutorenbildSourabh Bodas

Object Detection in Industrial Environments

AI based object detection is a new and emerging technology that is slowly gaining momentum in industrial quality control. In the past, quality control in the manufacturing sector either relied on a human workforce to inspect objects and monitor production or had a machine vision based systems which did not utilize AI to inspect objects in differing environmental conditions.

With TRiMiTi, it has become possible to improve the efficiency and accuracy of this process through the use of AI based object detection. With the integration of AI technology in the inspection process, manufacturers can now easily detect defects, anomalies and other discrepancies in production.

In industrial quality control applications, TRiMiTi supported AI based object detection can be used to recognize specific objects, detect defects and/or irregularities as well as measure surface geometry. Throughout the process TRiMiTi works by analyzing images and data collected from cameras and various other sensors, to detect any discrepancies that fall outside of the pre-defined quality standards.

This technology not only enhances the efficiency and effectiveness of quality control processes but also reduces error rates, minimizes waste and improves productivity. As AI technology continues to advance, we can expect to see further developments and applications of this technology in industrial quality control.

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