B07C5/12

Apparatus for preprocessing paper sheets and method for processing paper sheets

Paper sheets preprocessing apparatus includes a material remover, a detector, a controller, and a display. The material remover removes a material from a paper sheets assembly. The paper sheets assembly includes a plurality of paper sheets strapped by the material. The detector is located at an upstream side than the material remover, and detects information of the paper sheets assembly. The controller decides whether the paper sheets assembly satisfies a predetermined specification, based on the information detected by the detector. If the controller decides that the paper sheets assembly does not satisfy the predetermined specification, the display displays a reason to decide that the paper sheets assembly does not satisfy the predetermined specification.

MULTI-STAGE TARGET CELL ENRICHMENT USING A MICROFLUIDIC DEVICE
20190344273 · 2019-11-14 ·

A microfluidic device comprises at least one inlet for receiving a sample comprising target cells and non-target cells; a first spiral channel portion having an upstream end in a central region and a downstream end in a peripheral region, the upstream end being coupled to the inlet, the first spiral channel portion being configured such that the target cells and the non-target cells occupy different streams at the downstream end; a first waste outlet arranged to couple with streams of non-target cells at the downstream end of the first spiral channel portion; a link channel portion arranged to couple with streams of target cells at the downstream end of the first spiral channel portion; a second spiral channel portion having an upstream end in a peripheral region and a downstream end in a central region, the upstream end of the second channel portion being coupled to the link channel portion, the second spiral channel portion being configured such that the target cells and the non-target cells occupy different streams at the downstream end; a second waste outlet arranged to couple with streams of non-target cells at the downstream end of the second spiral channel portion; and a sample outlet arranged to couple with streams of target cells at the downstream end of the second spiral channel portion.

Device and method for automatically categorizing screwdriver bits
11969762 · 2024-04-30 · ·

A device and a method for automatically categorizing screwdriver bits are provided. The method includes three main steps: accommodating and mixing, vibration feeding, and type categorizing. The device includes a device body and a vibrating feeding cylinder disposed on the device body. The vibrating feeding cylinder includes a rotating holder for vibrating and moving the screwdriver bits and a directional mechanism for arranging the driving tips of the screwdriver bits facing the same direction. A CCD mechanism is disposed on the device body and is used to detect the shape of the driving tips of the screwdriver bits.

Device and method for automatically categorizing screwdriver bits
11969762 · 2024-04-30 · ·

A device and a method for automatically categorizing screwdriver bits are provided. The method includes three main steps: accommodating and mixing, vibration feeding, and type categorizing. The device includes a device body and a vibrating feeding cylinder disposed on the device body. The vibrating feeding cylinder includes a rotating holder for vibrating and moving the screwdriver bits and a directional mechanism for arranging the driving tips of the screwdriver bits facing the same direction. A CCD mechanism is disposed on the device body and is used to detect the shape of the driving tips of the screwdriver bits.

Compactor arrangement and method for operating a compactor arrangement
11951705 · 2024-04-09 · ·

A compactor arrangement (202) includes a compactor; an empty-container transport device for transporting empty containers in the compactor arrangement in a transport region above the empty-container transport device; a first anti-encroachment guard structure which laterally delimits the transport region and which is provided between the transport region and the compactor, wherein the first anti-encroachment guard structure defines a feed region through which empty containers can be fed laterally out of the transport region to the compactor; and a guard device having a second anti-encroachment guard structure which is configured such that, selectively, an encroachment from the direction of the transport region into the feed region can be prevented.

Part recognition and damage characterization using deep learning

According to one embodiment, a method of identifying a part of a conveyance system is provided. The method comprising: capturing an image of a part of a conveyance system using a camera; classifying the part of the conveyance system using supervised learning; and displaying a classification of the part of the part on a mobile computing device.

Part recognition and damage characterization using deep learning

According to one embodiment, a method of identifying a part of a conveyance system is provided. The method comprising: capturing an image of a part of a conveyance system using a camera; classifying the part of the conveyance system using supervised learning; and displaying a classification of the part of the part on a mobile computing device.

Augmented sensing tower light assembly
10373451 · 2019-08-06 · ·

Apparatus and associated methods relate to a tower light assembly having an output indicator responsive to an onboard sensor in accordance with a predetermined environmental parameter threshold. In an illustrative example, an augmented sensing tower light assembly (ASTLA) may include a light tower assembly having a controller configured to receive status data from monitored equipment. The controller may further receive environmental data from the onboard sensor. In response to the received status data and the received environmental data, the controller may actuate the output indicator in accordance with one or more predetermined criteria. Advantageously, the ASTLA may provide supplemental low-cost sensing capability.

PART RECOGNITION AND DAMAGE CHARACTERIZATION USING DEEP LEARNING
20190217340 · 2019-07-18 ·

According to one embodiment, a method of identifying a part of a conveyance system is provided. The method comprising: capturing an image of a part of a conveyance system using a camera; classifying the part of the conveyance system using supervised learning; and displaying a classification of the part of the part on a mobile computing device.

PART RECOGNITION AND DAMAGE CHARACTERIZATION USING DEEP LEARNING
20190217340 · 2019-07-18 ·

According to one embodiment, a method of identifying a part of a conveyance system is provided. The method comprising: capturing an image of a part of a conveyance system using a camera; classifying the part of the conveyance system using supervised learning; and displaying a classification of the part of the part on a mobile computing device.