A system for preparing a pharmaceutical compound comprises: a computing device comprising a user interface providing an operator with instructions for preparing the pharmaceutical compound and at least one processor operatively connected to the user interface; a scale operatively connected to the at least one processor; and an image capture device operatively connected to the at least one processor and the scale and positioned to capture an image of at least one of a component used in preparing the pharmaceutical compound and the pharmaceutical compound.

The present disclosure relates to an apparatus and a method for estimating a state of an object to be heated based on sound which is generated when the object to be heated is heated, and providing the estimated information to other devices in an Internet of Things (IoT) environment through a 5G communication network. The heating apparatus may include a housing having a receiving space therein, a heating member disposed within the housing, a power supplier for supplying power to the heating member, a top plate disposed on the top of the housing to support the object to be heated, a sound sensor disposed on the bottom of the top plate, and a controller for predicting the state of the object to be heated by using a deep neural network model that has been trained through machine learning based on a sound signal received from the sound sensor.

The present disclosure relates to an apparatus and a method for estimating a state of an object to be heated based on sound which is generated when the object to be heated is heated, and providing the estimated information to other devices in an Internet of Things (IoT) environment through a 5G communication network. The heating apparatus may include a housing having a receiving space therein, a heating member disposed within the housing, a power supplier for supplying power to the heating member, a top plate disposed on the top of the housing to support the object to be heated, a sound sensor disposed on the bottom of the top plate, and a controller for predicting the state of the object to be heated by using a deep neural network model that has been trained through machine learning based on a sound signal received from the sound sensor.

Methods and a system are provided for assessing postpartum hemorrhage risk and postpartum hemorrhage stages in a clinical setting. Generally, a clinician may indicate that the mass of several bloody items, indicated in type and quantity, is to be measured using a scale. The mass of bloody items is compared to the known unused dry mass of such items in order to accurately determine the quantitative blood loss (QBL) of a patient at the bedside. The cumulative QBL can be updated by weighing additional items. Based on the cumulative QBL, the patient's vital signs, and other factors, a corresponding hemorrhage stage is identified and communicated to the clinician. Recommendations specific to the hemorrhage stage are provided to a clinician. Some recommendations are selectable actions that trigger automatic placement of medical orders and notifications to relevant medical services, such as a blood bank or anesthesia.

Methods and a system are provided for assessing postpartum hemorrhage risk and postpartum hemorrhage stages in a clinical setting. Generally, a clinician may indicate that the mass of several bloody items, indicated in type and quantity, is to be measured using a scale. The mass of bloody items is compared to the known unused dry mass of such items in order to accurately determine the quantitative blood loss (QBL) of a patient at the bedside. The cumulative QBL can be updated by weighing additional items. Based on the cumulative QBL, the patient's vital signs, and other factors, a corresponding hemorrhage stage is identified and communicated to the clinician. Recommendations specific to the hemorrhage stage are provided to a clinician. Some recommendations are selectable actions that trigger automatic placement of medical orders and notifications to relevant medical services, such as a blood bank or anesthesia.

A monitoring system that is configured to monitor a property includes a connected scale device that is configured to receive a package, determine a weight of the package, and after determining the weight of the package, arm the connected scale device, and a monitoring control unit that is configured to receive, from the connected scale device, data indicating that the connected scale device received the package and the connected scale device is armed, and based on receiving the data indicating that the connected scale device received the package and the connected scale device is armed, communicate, to a user device of a resident of the property, a notification indicating that the connected scale device received the package.

A food scale comprising: a weighing surface; a bottom surface on a side of the scale opposite the weighing surface; a first bracket adjustably attachable to the bottom surface, the first bracket comprising a first lip that extends away from the bottom surface; a second bracket adjustably attachable to the bottom surface, the second bracket comprising a second lip that extends away from the bottom surface; where the first and second lips are configured to line up with and abut the sides of a cutting board when the food scale is placed on the cutting board, with the weighing surface facing upward.

A food scale comprising: a weighing surface; a bottom surface on a side of the scale opposite the weighing surface; a first bracket adjustably attachable to the bottom surface, the first bracket comprising a first lip that extends away from the bottom surface; a second bracket adjustably attachable to the bottom surface, the second bracket comprising a second lip that extends away from the bottom surface; where the first and second lips are configured to line up with and abut the sides of a cutting board when the food scale is placed on the cutting board, with the weighing surface facing upward.

A weighing and labeling system has an electronic scale, label printer, and at least one controller. The controller stores information about incoming food packages and drives the printer to produce labels based on the stored information and the weight of the food packages. The labels are transferred to the food packages. Some elements of the system are located in sealable cabinets, and further, some of the elements are mounted on the interior surface on doors hinged to the sealable cabinets. This is advantageous in food production environments requiring frequent cleaning of equipment with sprayed water. In some embodiments the sealable cabinets are positioned on vertical masts and rotatable on the masts.

Disclosed herein are an apparatus and method for measuring a volume of an object. The object volume measuring apparatus includes an area measuring unit that includes a detection sensor, which is arranged at predetermined spacing in a single row along lengthwise edges and widthwise edges of a plate respectively, where an object is placed, measures a length and a width according to the numbers of detection sensors lengthwise and widthwise respectively in which the edges are detected, and calculates an area of the object according to the measured length and width, a height measuring unit that is located above the plate and comprises a distance measuring sensor for measuring a height of the object when the object is placed, and an object calculation unit for calculating a volume of the object based on the area and the height.