Abstract: Provided is a system for detecting article store or retrieve operations. The system for detecting store or retrieve operations includes: an article storage-retrieval cabinet, an image acquiring unit, and a storage or retrieval detecting unit, wherein an edge of an entrance-exit of the article storage-retrieval cabinet is provided with a marker, and the image acquiring unit is configured to acquire an image of the entrance-exit of the article storage-retrieval cabinet; and the storage or retrieval detecting unit is connected to the image acquiring unit, and is configured to detect an article store or retrieve operation based on marker information in the image acquired by the image acquiring unit.

Abstract: Provided is an augmented reality device. The augmented reality device includes a first projection assembly and a first display assembly. The first display assembly is disposed on a light exit side of the first projection assembly. The first projection assembly includes a first scanner, a first laser, and a first lens group. The first display assembly includes a first holographic diffraction grating and a first lens. An exposure device is also provided.

Abstract: This disclosure relates to nanoparticles coated with fusion proteins comprising a domain that binds a cancer marker and a domain comprising a toxic polypeptide. In certain embodiments, the targeted cancer marker is urokinase plasminogen activator receptor (uPAR) insulin-like growth factor 1 receptor (IGF1R), EGFR, HER2, and/or other member of the ErbB family of receptors. In certain embodiments, the molecule that binds a cancer marker is an amino terminal fragment of uPA or variant capable of binding uPAR and/or IGF1 or variant capable of binding IGF1R. In certain embodiments, the toxic polypeptide is a bacterial exotoxin.

Abstract: Described are coated iron oxide nanorods (IONRs) containing an iron oxide core and a coating surrounding the core, and pharmaceutical compositions containing these coated IONRs. The iron oxide core of the coated IONRs has strong magnetic property, i.e., a magnetic flux density of at least 10 emu/g, induced using 1 T magnetizing field strength, at room temperature. The coating of the coated IONRs can be formed by a polymer, such as an amphiphilic polymer. The coated IONRs are stable in an aqueous medium for at least 30 mins, at room temperature, while maintain the superior magnetic property of the core, achieving a separation efficiency of at least 80% within only 1 min of magnet time. Optionally, the coated IONRs contain one or more active agents embedded in the coating of the coated IONRs, for systemic or local delivery.

Abstract: An anti-counterfeiting face detection method, device and multi-lens camera are disclosed. The anti-counterfeiting face detection method comprises: acquiring a depth image, an infrared image and an RGB image by using a TOF camera and an RGB camera; analyzing the RGB image through a preset face detection algorithm to determine an RGB face region of a face in the RGB image and position information of the RGB face region; determining a depth face region of the face in the depth image and an infrared face region of the face in the infrared image based on the position information of the RGB face region; determining that the face passes the detection when the depth face region, the infrared face region and the RGB face region meet corresponding preset rules respectively.

Abstract: This disclosure relates to nanoparticles coated with fusion proteins comprising a domain that binds a cancer marker and a domain comprising a toxic polypeptide. In certain embodiments, the targeted cancer marker is urokinase plasminogen activator receptor (uPAR) insulin-like growth factor 1 receptor (IGF1R), EGFR, HER2, and/or other member of the ErbB family of receptors. In certain embodiments, the molecule that binds a cancer marker is an amino terminal fragment of uPA or variant capable of binding uPAR and/or IGF1 or variant capable of binding IGF1R. In certain embodiments, the toxic polypeptide is a bacterial exotoxin.

Abstract: This disclosure relates to nanoparticles coated with fusion proteins comprising a domain that binds a cancer marker and a domain comprising a toxic polypeptide. In certain embodiments, the targeted cancer marker is urokinase plasminogen activator receptor (uPAR) insulin-like growth factor 1 receptor (IGF1R), EGFR, HER2, and/or other member of the ErbB family of receptors. In certain embodiments, the molecule that binds a cancer marker is an amino terminal fragment of uPA or variant capable of binding uPAR and/or IGF1 or variant capable of binding IGF1R. In certain embodiments, the toxic polypeptide is a bacterial exotoxin.

Abstract: Provided is a system for detecting article store or retrieve operations. The system for detecting store or retrieve operations includes: an article storage-retrieval cabinet, an image acquiring unit, and a storage or retrieval detecting unit, wherein an edge of an entrance-exit of the article storage-retrieval cabinet is provided with a marker, and the image acquiring unit is configured to acquire an image of the entrance-exit of the article storage-retrieval cabinet; and the storage or retrieval detecting unit is connected to the image acquiring unit, and is configured to detect an article store or retrieve operation based on marker information in the image acquired by the image acquiring unit.

Abstract: Provided is an augmented reality device. The augmented reality device includes a first projection assembly and a first display assembly. The first display assembly is disposed on a light exit side of the first projection assembly. The first projection assembly includes a first scanner, a first laser, and a first lens group. The first display assembly includes a first holographic diffraction grating and a first lens. An exposure device is also provided.

Abstract: A depth measuring method and system applicable to a first binocular camera having a zoom lens is provided.

Abstract: Embodiments of the present application provide an anti-counterfeiting face detection method, device and multi-lens camera, wherein the anti-counterfeiting face detection method comprises: acquiring a depth image, an infrared image and an RGB image by using a TOF camera and an RGB camera; analyzing the RGB image through a preset face detection algorithm to determine an RGB face region of a face in the RGB image and position information of the RGB face region; determining a depth face region of the face in the depth image and an infrared face region of the face in the infrared image based on the position information of the RGB face region; determining that the face passes the detection when the depth face region, the infrared face region and the RGB face region meet corresponding preset rules respectively.

Abstract: Embodiments of the present application provide a method, apparatus, device and system for calibrating parameters of a camera. In this solution, a camera performs image capturing on multiple checkerboard targets to obtain a calibration image, in other words, the calibration image contains multiple checkerboards, and the camera parameters are solved based on the calibration image containing the multiple checkerboards. In a first aspect, the calibration image contains multiple checkerboards, so that it is not necessary to adjust the position or posture of a checkerboard target for multiple times and to capture a calibration image with respect to the checkerboard target for multiple times, thereby improving the calibration efficiency. In a second aspect, the fact of capturing a calibration image with respect to the checkerboard target for multiple times results in a relatively large error for capturing, while this error for capturing is reduced by applying this solution.

Abstract: A method and apparatus for constructing a 3D scene model are provided. The method includes: acquiring a first point cloud corresponding to a current target scene (S101); determining a first partial point cloud corresponding to a dynamic object from the first point cloud (S102); constructing a foreground 3D model based on the first partial point cloud (S103); and superimposing the foreground 3D model with a background 3D model to obtain a current 3D scene model (S104). As can be seen, it is not necessary to fuse each pixel acquired by each depth camera. Instead, the dynamic object is determined in the point cloud acquired by the depth camera. Only the foreground 3D model corresponding to the dynamic object is superimposed with the background 3D model corresponding to the static objects obtained in advance. This reduces the amount of computation to build a 3D scene model.

Abstract: The present application discloses a method and a device for image stitching. The method includes: obtaining a first image acquired by a first camera and a second image acquired by a second camera, wherein the first image is an image with visible light information, the second image is an image including depth information and visible light information, the first camera and the second camera are disposed adjacent to each other, and there is an overlapping area between the acquired first image and second image; mapping pixels in the second image to the overlapping area and/or an extended area, wherein the extended area is an image area formed by pixels in the second image which are mapped to the outside of the first image; stitching the mapped pixels in the second image to the overlapping area and/or the extended area based on depth information and visible light information of the pixels in the second image to obtain a stitched image.