Disclosed is a printing device including: a finger stage which has a nail rest, having an identifier, to place a tip of a nail, the nail being a printing target, and on which a finger corresponding to the nail is placed; and at least one camera which obtains an image from a first direction and an image from a second direction. The identifier which detects a position of the nail is provided on one surface of the nail rest such that the identifier does not exist in the image from the first direction but the identifier exists in the image from the second direction.

An apparatus and method to produce a hologram of an object includes an electromagnetic radiation assembly configured to receive a received electromagnetic radiation, such as light, from the object. The electromagnetic radiation assembly is further configured to diffract the received electromagnetic radiation and transmit a diffracted electromagnetic radiation. An image capture assembly is configured to capture an image of the diffracted electromagnetic radiation and produce the hologram of the object from the captured image.

A variety of techniques are disclosed for customizing a digital model of an aesthetic housing to receive a functional component and an interface component for the functional component.

An image forming apparatus which eliminates the need for a paper thickness detection sensor and saves time and effort for a user when performing remote scanning. An image reading unit of the image forming apparatus is connectable to an external client via a network and generates image data by reading an original. In the remote scanning, the image reading unit reads the original conveyed by a conveying unit in accordance with an instruction from an external client. A conveying speed at which the original is conveyed by the conveying unit when the remote scanning is performed is set in accordance with an original thickness setting. A first original thickness setting made on the image forming apparatus and a second original thickness setting made on the external client are obtained. When the second original thickness setting is different from the first original thickness setting, the original thickness setting is set to the second original thickness setting.

Image processing includes obtaining image I[0,0] of a picture captured by an image capture means, in a state where light is irradiated to the picture from a light source at a reference position relative to a normal line of the picture, obtaining image I[α1,0] of the picture captured by an image capture means, in a state where the light is irradiated to the picture from the light source at a position inclined from the reference position at an angle α1 in the first direction, obtaining image I[0, β1] of the picture captured by an image capture means, in a state where the light is irradiated to the picture from the light source at a position inclined by an angle β1 from the reference position in a second direction different from the first direction, creating a three-dimensional map of the picture, using a set of images I[0, β1] and I[0, β2], merging at least a part of each of image I[α1,0], image I[0,β1], and image I[0,β2] with respect to image I[0,0], and recording as two-dimensional image data the image subjected to the emphasizing process.

An image-based acceptance learning device (2) learns a result of determination as to whether a planar object (1) is acceptable or defective based on at least one of a three-dimensional shape or a color on a surface of the planar object (1). The device (2) includes a surface image receiver (3) to receive an inputted two-dimensional data being image data of the surface of the planar object (1), a determination information receiver (4) to receive an inputted determination information indicating the result of determination as to whether the planar object (1) corresponding to the two-dimensional data is acceptable or defective, and a learner (5) to learn, based on the two-dimensional data and the determination information, a relevant area (1R) including the three-dimensional shape or the color on the surface in the two-dimensional data. The relevant area is a basis for the determination information.

A 3D scanner system includes a scanning device capable of recording first and second data sets of a surface of an object when operating in a first configuration and a second configuration, respectively. A measurement unit is configured for measuring a distance from the scanning device to the surface. A control controls an operation of the scanning device based on the distance measured by the measurement unit, where the scanning device operates in the first configuration when the measured distance is within a first range of distances from the surface and the scanning device operates in the second configuration when the measured distance is within a second range of distances; and a data processor is configured to combine one or more first data sets and one or more second data sets to create a combined virtual 3D model of the object surface.

A method is disclosed comprising: connecting, by a part scanner, to a blockchain platform; outputting a user interface, the user interface including at least a first input component and a second input component; capturing an image of a surface of a part; outputting the image in the user interface; generating a surface descriptor based on the image; when the first input component is activated, attempting to store, in the blockchain platform, an authentication record that is generated based on the surface descriptor, and outputting, in the user interface, an indication of an outcome of the attempt to store the authentication record in the blockchain platform; and when the second input component is activated, attempting to authenticate the part based on the surface descriptor and outputting, in the user interface, an indication of an outcome of the attempt to authenticate the part.

Methods, systems, and devices for adjusting a scanning status are provided. In one example method, a mobile terminal can determine whether a target object is a preset target type. If so, a reference scan parameter is determined corresponding to the preset target type, and a real-time scan parameter is obtained that is used when the mobile terminal performs scanning around the target object. A determination is made as to whether the real-time scan parameter conforms to the reference scan parameter. If it does not, a prompt message used to prompt a user to adjust a scanning status corresponding to a current scan parameter is generated.

A mobile phone-based miniature microscopic image acquisition device, and image stitching and recognition methods are provided. The acquisition device comprises a support, wherein a mobile phone fixing table is provided on the support. A microscope head is provided below a camera of a mobile phone. A slide holder is provided below the microscope head, and an lighting source is provided below the slide holder. A scanning movement is performed between the slide holder and the microscope head along X and Y axes, so that images of a slide are acquired into the mobile phone. The slide sample images acquired into the mobile phone can be stitched and recognized, and can be uploaded to the cloud to be processed by cloud AI, thereby significantly improving the accuracy and efficiency of cell recognition, greatly reducing the medical cost, and ensuring more remote medical institutions can apply such technology for diagnosis.