Abstract: A system and method for delivering a product such as a pharmacy bottle from a conveyor system to a delivery container via a delivery chute. A sensor is placed at a top opening of the chute to sense for product in the chute area and to provide instructions to complete the delivery order if the chute area is clear.

Abstract: A system and method for delivering a product such as a pharmacy bottle from a conveyor system to a delivery container via a delivery chute. A sensor is placed at a top opening of the chute to sense for product in the chute area and to provide instructions to complete the delivery order if the chute area is clear.

Abstract: A system and method for delivering a product such as a pharmacy bottle from a conveyor system to a delivery container via a delivery chute. A sensor is placed at a top opening of the chute to sense for product in the chute area and to provide instructions to complete the delivery order if the chute area is clear.

Abstract: A pharmaceutical verification (PV) camera system that captures an image of the contents of a vial on an automated dispensing line is closed. Faster image processing time is achieved by utilizing a learning algorithm that stores camera parameters for a successful image associated with data for a prescription processed on the automated dispensing line. During processing of a prescription order, when the vial contents and availability of stored parameters is confirmed, the stored parameters are transmitted to the camera and an image of the vial contents is captured and stored. When a previously un-encountered or un-trained vial is detected, the camera engages the autofocus feature to capture an image. The learning algorithm evaluates the image based on feedback from one or more metric. Upon agreement with the metric standards, an image is accepted and archived and the camera parameters associated with that vial prescription are stored for later use.

Abstract: A pharmaceutical verification (PV) camera system that captures an image of the contents of a vial on an automated dispensing line is closed. Faster image processing time is achieved by utilizing a learning algorithm that stores camera parameters for a successful image associated with data for a prescription processed on the automated dispensing line. During processing of a prescription order, when the vial contents and availability of stored parameters is confirmed, the stored parameters are transmitted to the camera and an image of the vial contents is captured and stored. When a previously un-encountered or un-trained vial is detected, the camera engages the autofocus feature to capture an image. The learning algorithm evaluates the image based on feedback from one or more metric. Upon agreement with the metric standards, an image is accepted and archived and the camera parameters associated with that vial prescription are stored for later use.

Abstract: A pharmaceutical verification (PV) camera system that captures an image of the contents of a vial on an automated dispensing line is closed. Faster image processing time is achieved by utilizing a learning algorithm that stores camera parameters for a successful image associated with data for a prescription processed on the automated dispensing line. During processing of a prescription order, when the vial contents and availability of stored parameters is confirmed, the stored parameters are transmitted to the camera and an image of the vial contents is captured and stored. When a previously un-encountered or un-trained vial is detected, the camera engages the autofocus feature to capture an image. The learning algorithm evaluates the image based on feedback from one or more metric. Upon agreement with the metric standards, an image is accepted and archived and the camera parameters associated with that vial prescription are stored for later use.