Disclosed is an apparatus for emptying bottles containing frozen blood product. The apparatus comprises an automatic unit for checking the weight of emptied bottles. The automatic unit comprises a load detection system for measuring the weight of emptied bottles, an air pressure measuring unit for measuring the pressure in the room in which the emptying apparatus is located, and a measurement compensation unit for correcting the load value on the basis of the room pressure measurement. The weight-checking unit generates a not empty signal if the value of the corrected load is greater than or equal to a predetermined value.

Disclosed is an apparatus for emptying bottles containing frozen blood product. The apparatus comprises an automatic unit for checking the weight of emptied bottles. The automatic unit comprises a load detection system for measuring the weight of emptied bottles, an air pressure measuring unit for measuring the pressure in the room in which the emptying apparatus is located, and a measurement compensation unit for correcting the load value on the basis of the room pressure measurement. The weight-checking unit generates a not empty signal if the value of the corrected load is greater than or equal to a predetermined value.

A system and method for filling containers with a precise amount of fluid is disclosed. The system and method use artificial neural network logic to sense conditions and to control the two-valve dispensing unit based on the sensed conditions to fill containers with a precise amount of fluid. Using neural network logic combined with sensors and controllers for equipment eliminates the significant human effort and human errors associated with manually filling containers with fluid. Furthermore, the neural network can log data quicker and with more accuracy than a human manually logging data. The system and method use a two-valve dispensing unit to precisely fill and to prevent and clear clogs caused by fluid solidifying within the dispensing unit.

A mobile weighing apparatus includes a base tubing, a column extending from the base tubing, a handle extending from the column, a plurality of wheels, a weighing platform, and a plurality of load cells coupled to or between the base tubing and the weighing platform. The weighting platform may be suspended from the load cells, such as with wire rope bolts, such that a force applied to the column does not affect weighment of an object on the weighing platform. The apparatus may include a kingpin-less swivel rear wheel, a rear wheel brake to preclude rotation of the rear wheel about an axle of the rear wheel, and an actuator to actuate the rear brake when the rear wheel is in any position over a 360-degree range. The wheels may be positioned adjacent respective corners of a triangularly shaped base tubing, and the apparatus may further include a clinometer.

A transferring device is provided for transferring containers from a container advancing device, where they are aligned in at least one row along an advancing direction, to at least one operating unit arranged outside the line, adjacent to the container advancing device, along a transferring direction transverse to the advancing direction. The transferring device includes at least two transferring arms, movable to selectively translate along the transferring direction from the container advancing device toward the operating unit.

A transferring device is provided for transferring containers from a container advancing device, where they are aligned in at least one row along an advancing direction, to at least one operating unit arranged outside the line, adjacent to the container advancing device, along a transferring direction transverse to the advancing direction. The transferring device includes at least two transferring arms, movable to selectively translate along the transferring direction from the container advancing device toward the operating unit.

An apparatus and method for filling a container with fragile fruit involving submerging the container in water to better distribute the fragile fruit within the container. The container may be filled with fragile fruit either before or after being submerged in water. The fragile fruit may be transported using a stream of water or other suitable fluid medium.

A system and method for filling containers with a precise amount of fluid is disclosed. The system and method use artificial neural network logic to sense conditions and to control the two-valve dispensing unit based on the sensed conditions to fill containers with a precise amount of fluid. Using neural network logic combined with sensors and controllers for equipment eliminates the significant human effort and human errors associated with manually filling containers with fluid. Furthermore, the neural network can log data quicker and with more accuracy than a human manually logging data. The system and method use a two-valve dispensing unit to precisely fill and to prevent and clear clogs caused by fluid solidifying within the dispensing unit.

Described are systems for processing sensor data associated with an inventory location for the purpose of identifying stable and unstable states in the sensor data. The stable and unstable states can be determined by fitting a line or curve to a portion of the sensor data occurring during a window of time and calculating a corresponding slope value of the line or curve. By comparing the slope value of the line or curve to a threshold value, stable and unstable states can be determined for the sensor data. Once stable states have been identified, a change in sensor data can be determined and used to identify a change in quantity of items at the inventory location.

Described are systems for processing sensor data associated with an inventory location for the purpose of identifying stable and unstable states in the sensor data. The stable and unstable states can be determined by fitting a line or curve to a portion of the sensor data occurring during a window of time and calculating a corresponding slope value of the line or curve. By comparing the slope value of the line or curve to a threshold value, stable and unstable states can be determined for the sensor data. Once stable states have been identified, a change in sensor data can be determined and used to identify a change in quantity of items at the inventory location.