Hyper-Switch BeneT system

This system can detect product defects in

Hyper-SwitchT dramatically improves the state-of-the-art of x-ray inspection machines by utilizing neural network technology. This technology automatically learns what normal product should look like under the light of x-ray energy and detect undesired contamination such as stainless steel, glass, and stone. It also simultaneously inspects each product for under fill or weight. BeneT uses neural network technology to quickly determine what to expect.

Contaminant and weighing capabilities no longer require trained personal to setup and adjust. BeneT simply learns what is normal by observation of "known good" examples. Placing the burden of setup and adjustment completely under the control of software enables unparalleled computing power to bear on the inspection task.

Hyper-SwitchT dramatically improves the state-of-the-art of x-ray inspection machines by utilizing neural network technology.