Abstract: Systems and/or methods for the monitoring and/or control of thermal sanitization in automated cleaning machines are described. A cleaning machine controller may predict a number of heat unit equivalents that will be delivered during a cleaning process based on a sump temperature difference (i.e., a change in the temperature of the cleaning solution in the sump) experienced at or near the beginning of the cleaning process. One or more cleaning process parameters may be adjusted and/or controlled based on the sump temperature difference in order to ensure that a target number of heat unit equivalents are delivered in order to achieve thermal sanitization of the wares subjected to the cleaning process.

Abstract: Image classification is used to dynamically control one or more wash parameters in an automated cleaning machine. An imaging device installed in the wash chamber of the cleaning machine captures one or more image(s) of articles to be cleaned at various times throughout a cleaning process. A computing device analyzes the captured image(s) to classify the images as to an article type and a rack volume. Based on the article type classification and the rack volume, the computing device dynamically controls one or more parameters of the cleaning process to achieve a satisfactory cleaning and/or sanitizing result.

Abstract: Systems and/or methods for the monitoring and/or control of thermal sanitization in automated cleaning machines are described. A cleaning machine controller may predict a number of heat unit equivalents that will be delivered during a cleaning process based on a sump temperature difference (i.e., a change in the temperature of the cleaning solution in the sump) experienced at or near the beginning of the cleaning process. One or more cleaning process parameters may be adjusted and/or controlled based on the sump temperature difference in order to ensure that a target number of heat unit equivalents are delivered in order to achieve thermal sanitization of the wares subjected to the cleaning process.

Abstract: Image classification is used to dynamically control one or more wash parameters in an automated cleaning machine. An imaging device installed in the wash chamber of the cleaning machine captures one or more image(s) of articles to be cleaned at various times throughout a cleaning process. A computing device analyzes the captured image(s) to classify the images as to an article type and a rack volume. Based on the article type classification and the rack volume, the computing device dynamically controls one or more parameters of the cleaning process to achieve a satisfactory cleaning and/or sanitizing result.

Abstract: Systems and/or methods for the monitoring and/or control of thermal sanitization in automated cleaning machines are described. A cleaning machine controller may predict a number of heat unit equivalents that will be delivered during a cleaning process based on a sump temperature difference (i.e., a change in the temperature of the cleaning solution in the sump) experienced at or near the beginning of the cleaning process. One or more cleaning process parameters may be adjusted and/or controlled based on the sump temperature difference in order to ensure that a target number of heat unit equivalents are delivered in order to achieve thermal sanitization of the wares subjected to the cleaning process.

Abstract: Image classification is used to dynamically control one or more wash parameters in an automated cleaning machine. An imaging device installed in the wash chamber of the cleaning machine captures one or more image(s) of articles to be cleaned at various times throughout a cleaning process. A computing device analyzes the captured image(s) to classify the images as to an article type and a rack volume. Based on the article type classification and the rack volume, the computing device dynamically controls one or more parameters of the cleaning process to achieve a satisfactory cleaning and/or sanitizing result.