Patent classifications
G01G23/42
Patient support with improved control
A braking system for a patient support apparatus includes a caster wheel assembly. The caster wheel assembly includes a caster wheel and manually operable brake operable to brake the caster wheel. The caster wheel assembly further includes a manual brake activation handle or pedal for manually operating the manually operable brake to move between three positions, wherein said three positions include a braking position, an un-braked position, and a steer lock position. The braking system further includes an electrically powered actuator mechanically coupled to the manual brake activation handle or pedal and to the manually operable brake. When powered, the electrically powered actuator is operable to move the manually operable brake and to move the manual brake activation handle or pedal between two or more of the three positions to thereby manually operate the caster wheel in a braking mode, an un-braked mode, or a steer lock mode. And, when the actuator is unpowered, the manual brake activation handle or pedal is operable to be manually moved between two or more of the three positions to thereby manually operate the caster wheel in the braking mode, the un-braked mode, or the steer lock mode.
Patient support with improved control
A braking system for a patient support apparatus includes a caster wheel assembly. The caster wheel assembly includes a caster wheel and manually operable brake operable to brake the caster wheel. The caster wheel assembly further includes a manual brake activation handle or pedal for manually operating the manually operable brake to move between three positions, wherein said three positions include a braking position, an un-braked position, and a steer lock position. The braking system further includes an electrically powered actuator mechanically coupled to the manual brake activation handle or pedal and to the manually operable brake. When powered, the electrically powered actuator is operable to move the manually operable brake and to move the manual brake activation handle or pedal between two or more of the three positions to thereby manually operate the caster wheel in a braking mode, an un-braked mode, or a steer lock mode. And, when the actuator is unpowered, the manual brake activation handle or pedal is operable to be manually moved between two or more of the three positions to thereby manually operate the caster wheel in the braking mode, the un-braked mode, or the steer lock mode.
Automated Collection and Scale System
This disclosure describes a collection bin for a waste collection vehicle. The collection bin includes a weighing system with a processor for measuring the weight of material collected from each waste container and associating this weight with appropriate data, such as the owner of the waste container.
Automated Collection and Scale System
This disclosure describes a collection bin for a waste collection vehicle. The collection bin includes a weighing system with a processor for measuring the weight of material collected from each waste container and associating this weight with appropriate data, such as the owner of the waste container.
SIGNAL PROCESSING METHOD FOR MULTIHEAD SCALES
The present invention relates to a signal processing method for weight signals (W) of scales, in particular combination scales (K).
Signal processing is performed using preprocessed discrete values (W(i)) of the weight signal (W), which are supplied to at least one artificial neural network. With the help of this at least one artificial neural network, an estimated value (SW) for the actual weight is determined, for example in a weighing device of a combination scale. This is performed faster than if waiting for the actual weight signal. The estimated values (SW) are forwarded to the combination scale (KW), which uses them to form combinations.
SIGNAL PROCESSING METHOD FOR MULTIHEAD SCALES
The present invention relates to a signal processing method for weight signals (W) of scales, in particular combination scales (K).
Signal processing is performed using preprocessed discrete values (W(i)) of the weight signal (W), which are supplied to at least one artificial neural network. With the help of this at least one artificial neural network, an estimated value (SW) for the actual weight is determined, for example in a weighing device of a combination scale. This is performed faster than if waiting for the actual weight signal. The estimated values (SW) are forwarded to the combination scale (KW), which uses them to form combinations.
SYSTEMS AND METHODS FOR VERIFIED BIOMEASUREMENTS
A method includes generating, via a camera, image data that is reproducible as an image of at least a portion of a subject. The method also includes receiving, via a sensor, first biomeasurement data associated with the subject, the first biomeasurement data including a first biomeasurement of the subject. The method also includes verifying the first biomeasurement of the subject based at least in part on a comparison between at least a portion of the image data and at least a portion of the first biomeasurement data.
SYSTEMS AND METHODS FOR VERIFIED BIOMEASUREMENTS
A method includes generating, via a camera, image data that is reproducible as an image of at least a portion of a subject. The method also includes receiving, via a sensor, first biomeasurement data associated with the subject, the first biomeasurement data including a first biomeasurement of the subject. The method also includes verifying the first biomeasurement of the subject based at least in part on a comparison between at least a portion of the image data and at least a portion of the first biomeasurement data.
Multiple object detection
A system for singulating objects includes a bin for receiving a collection of objects, a robotic manipulator for grasping objects from the bin, a scale for measuring a weight of the grasped objects, and a computer system for comparing measured weights to acceptable weight ranges to detect double picks. Methods include determining acceptable weight ranges by weighing a plurality of objects.
Multiple object detection
A system for singulating objects includes a bin for receiving a collection of objects, a robotic manipulator for grasping objects from the bin, a scale for measuring a weight of the grasped objects, and a computer system for comparing measured weights to acceptable weight ranges to detect double picks. Methods include determining acceptable weight ranges by weighing a plurality of objects.