Abstract: A method of recognizing an object includes comparing a three-dimensional point cloud of the object to a three-dimensional candidate from a dataset to determine a first confidence score, and comparing color metrics of a two-dimensional image of the object to a two-dimensional candidate from the dataset to determine a second confidence score. The point cloud includes a color appearance calibrated from a white balance image, and the color appearance of the object is compared with the three-dimensional candidate. The first or second confidence score is selected to determine which of the three-dimensional candidate or the two-dimensional candidate corresponds with the object.

Abstract: A deep learning method employs a neural network having three sub-nets to classify and retrieve the most similar 3D model of an object, given a rough 3D model or scanned images. The most similar 3D model is present in a database and can be retrieved to use directly or as a reference to redesign the 3D model. The three sub-nets of the neural network include one dealing with object images and the other two dealing with voxel representations. Majority vote is used instead of view pooling to classify the object. A feature map and a list of top N most similar well-designed 3D models are also provided.

Abstract: A method of preparing an elastomer membrane with high water pressure resistance includes the following steps: preparing a dry material by subjecting first thermoplastic polyurethane (TPU) powder/particles to a drying treatment; preparing a first mixture by mixing the dry material thoroughly with one or a mixture of at least two of diethylenetriamine, diethylaminopropylamine, and diaminodiphenylmethane; preparing a second mixture by mixing an initiator thoroughly with the first mixture; preparing a first membrane layer from the second mixture; and preparing a second membrane layer and a third membrane layer through the above steps such that the second membrane layer and the third membrane layer are sequentially formed on the first membrane layer.

Abstract: In an example implementation, a method of processing a 3D object includes receiving a 3D object model representing a new 3D object to be processed. The method includes computing attributes of the object and comparing the object attributes with stored object attributes from previously processed 3D objects. When the comparison provides a match between the object attributes and stored object attributes, then a print recipe associated with the matching stored object attributes is retrieved.

Abstract: A method of preparing an elastomer membrane with high water pressure resistance includes the following steps: preparing a dry material by subjecting first thermoplastic polyurethane (TPU) powder/particles to a drying treatment; preparing a first mixture by mixing the dry material thoroughly with one or a mixture of at least two of diethylenetriamine, diethylaminopropylamine, and diaminodiphenylmethane; preparing a second mixture by mixing an initiator thoroughly with the first mixture; preparing a first membrane layer from the second mixture; and preparing a second membrane layer and a third membrane layer through the above steps such that the second membrane layer and the third membrane layer are sequentially formed on the first membrane layer.

Abstract: A method of preparing a thermoplastic polyurethane membrane with high adhesion and high elasticity includes the following steps: (a) preparing a modifying solution, wherein the modifying solution is one or a mixture of at least two of diethylenetriamine, diethylaminopropylamine, and diaminodiphenylmethane; (b) preparing a semi-finished product by applying the modifying solution on at least one surface of a thermoplastic polyurethane membrane; and (c) subjecting the semi-finished product to a temperature of 50° C.˜180° C. in order for the semi-finished product to undergo a reaction and thus form the thermoplastic polyurethane membrane with high adhesion and high elasticity.

Abstract: Examples disclosed herein relate to synchronize a thermal image and a 3D print process. In one implementation, a processor synchronizes a thermal image with a step in a 3D printing process based on an occluded region detected in the thermal image. The processor may output thermal information associated with the 3D print process step.

Abstract: A method of recognizing an object includes comparing a three-dimensional point cloud of the object to a three-dimensional candidate from a dataset to determine a first confidence score, and comparing color metrics of a two-dimensional image of the object to a two-dimensional candidate from the dataset to determine a second confidence score. The point cloud includes a color appearance calibrated from a white balance image, and the color appearance of the object is compared with the three-dimensional candidate. The first or second confidence score is selected to determine which of the three-dimensional candidate or the two-dimensional candidate corresponds with the object.

Abstract: In an example implementation, a method of processing a 3D object includes receiving a 3D object model representing a new 3D object to be processed. The method includes computing attributes of the object and comparing the object attributes with stored object attributes from previously processed 3D objects. When the comparison provides a match between the object attributes and stored object attributes, then a print recipe associated with the matching stored object attributes is retrieved.

Abstract: Examples herein disclose capturing an image of printed text and a handwritten annotation and determining a topic as related to the printed text in the captured image. The examples disclose identifying a resource based on the handwritten annotation.

Abstract: A cutter, such as a tubing cutter or a swing cutter. The cutter may include a cutting wheel; a roller; a housing assembly including a first housing portion supporting the cutting wheel and a second housing portion supporting the roller; a shaft connecting the housing portions, rotation of the shaft causing relative movement of the housing portions along a shaft axis; and a knob connected to the shaft and engageable by a user to rotate the shaft, the knob having, in a plane perpendicular to the shaft axis, a non-symmetrical shape defined by opposite circular sector portions and opposite lever portions, each lever portion being engageable by a user to apply a force to the knob in a direction of rotation. The cutter may include a shaft with a radial shoulder preventing movement of the shaft from the cavity through an opening in the housing portion.

Abstract: According to one example for segmenting image data, image data comprising color pixel data, IR data, and depth data is received from a sensor. The image data is segmented into a first list of objects based on at least one computed feature of the image data. At least one object type is determined for at least one object in the first list of objects. The segmentation of the first list of objects is refined into a second list of objects based on the at least one object type. In an example, the second list of objects is output.

Abstract: Present invention relates to a nitrite detection device comprising of an electrochemical test strip and a colorimetric test paper, said electrochemical test strip is consisting of an insulating substrate and an electrochemical detection structure placed in the insulating substrate. When a fluid sample enters the sensing region and detecting region of the electrochemical detection structure, it will undergo an electrochemical reaction. Detecting the change of the electric signals to accurately calculate the nitrite concentration in the fluid sample, while examining whether a positive nitrite response is present by using the colorimetric test paper. Present invention discloses a combined nitrite detection device that has the advantages of real-time semi-quantification and accurate quantification of nitrite concentration via electrochemical reaction.

Abstract: A cutter, such as a tubing cutter or a swing cutter. The cutter may include a cutting wheel; a roller; a housing assembly including a first housing portion supporting the cutting wheel and a second housing portion supporting the roller; a shaft connecting the housing portions, rotation of the shaft causing relative movement of the housing portions along a shaft axis; and a knob connected to the shaft and engageable by a user to rotate the shaft, the knob having, in a plane perpendicular to the shaft axis, a non-symmetrical shape defined by opposite circular sector portions and opposite lever portions, each lever portion being engageable by a user to apply a force to the knob in a direction of rotation. The cutter may include a shaft with a radial shoulder preventing movement of the shaft from the cavity through an opening in the housing portion.

Abstract: One example provides a system. The system receives an infrared image and processes the infrared image to detect lines in the infrared image. The system receives a color image corresponding to the infrared image and processes the color image to detect lines in the color image. The detected lines in the infrared image and the detected lines in the color image are combined. A document region is detected from the combined detected lines.

Abstract: Examples herein disclose capturing an image of printed text and a handwritten annotation and determining a topic as related to the printed text in the captured image. The examples disclose identifying a resource based on the handwritten annotation.

Abstract: According to one example for segmenting image data, image data comprising color pixel data, IR data, and depth data is received from a sensor. The image data is segmented into a first list of objects based on at least one computed feature of the image data. At least one object type is determined for at least one object in the first list of objects. The segmentation of the first list of objects is refined into a second list of objects based on the at least one object type. In an example, the second list of objects is output.

Abstract: One example provides a system. The system receives ate infrared image and processes the infrared image to detect lines in the infrared image. The system receives a color image corresponding to the infrared image and processes the color image to detect lines in the color image. The detected lines in the infrared image and the detected lines in the color image are combined. A document region is detected from the combined detected lines.

Abstract: A system and method for processing an image of a retail shelf area. According to one aspect, a portion of an image that depicts the retail shelf area at an angled and depthwise perspective is determined to depict shelves. The image can be modified so that the portion of the image determined to depict shelves is substantially parallel to a predefined horizontal reference frame. Products can then be detected in the remainder portion of the image, separate from the portion of the image determined to depict shelves. An applicable planogram can be used to generate compliance information based on the detected products and the determined portion of the image depicting shelves.

Abstract: Disclosed are a power factor correction circuit and a power adapter, and the power factor correction circuit includes a sampler, a controller and a current limiter, and the controller includes an error amplification unit, a peak value adjusting unit, an ON/OFF computing unit and a phase lock unit. The sampler is coupled to the phase lock unit, and the current limiter is coupled to the error amplification unit and the ON/OFF computing unit, so as to achieve the effects of enhancing the power factor property of the power factor correction circuit, lowering the manufacturing cost, and improving the electric power utilization.