A new software functionality available as a standard feature in the Thermo Scientific Sentinel multiscan metal detector enhances set-up, making it easier and quicker for food processors to improve inspection performance. The Auto Learn software feature allows users to conduct an additional set-up stage that can be used to capture data on products contaminated with metal foreign objects. This enables fast and easy system calibration that can be optimized for specific applications.  

The Sentinel Auto Learn software from Thermo Fisher Scientific calibrates operation settings by allowing users to conduct product tests with clean products and with products containing likely metal contaminants. A detectability score for each metal type is displayed and operating parameters are automatically set to maximize sensitivity and help reduce false rejects. Before the introduction of Thermo Fisher's Auto Learn, metal detector set up was limited to the use of only clean samples. For many difficult applications, this process might have taken an expert operator many hours to optimize.  By using data from products with foreign objects affixed, Auto Learn quickly automates set-up for each frequency in minutes. Auto Learn is designed to significantly reduce training time and the need for in-depth metal detection operation knowledge. It maximizes food safety while also reducing or even eliminating the costs associated with false rejects.