A position detection apparatus comprises: a map information creation part that creates map information representing a position in a space including a floor surface on which at least one detection object may be disposed; a mask information creation part that creates mask information, by extracting a region of a predetermined height range within a height range from the floor surface when the detection object is disposed in the space from the map information; a specifying part that specifies partial optical image information, by removing a region corresponding to the mask information from the optical image information; and a detection part that specifies a positional relationship between the map information and the partial optical image information at a pixel level, and detects a position of the detection object in the map information based on the specified positional relationship.

A method, software and apparatus are disclosed to improve security by helping determine whether a bag contains a prohibited item. A CT scan of a bag is performed to generate an image. An artificial intelligence algorithm is performed to classify portions of an image as normal and portions of said image as abnormal. A first type of image processing for said normal portion(s) of said image. A second type of image processing for said abnormal portion(s) of said image wherein said second type of image processing is different from said first type of image processing. The normal portion(s) of the image are displayed with said first type of image processing and said abnormal portion(s) of the image are displayed with said second type of image processing to a TSA Agent for analysis of said image. In the preferred embodiment, the TSA Agent will perform the analysis on an extended reality head display unit.

A system is provided which utilizes multiple combinations of object location technology to locate objects and direct users to them, and which provides reliable owner recognition and ownership verification with the use of displayed augmented reality with a predefined image of the object and/or the user. Further, the system utilizes augmented reality fingerprint markers. When the augmented reality fingerprint marker is positioned on an object and scanned with a smart device, information relating to the object is superimposed on the object displayed on the smart device.

A method for detecting the presence of on-body concealed objects includes receiving a visible-domain camera image for a scene, determining, using the visible-domain camera image, a region of interest where a subject is present, receiving an infrared-domain camera image and a millimeter-wave (mmwave) radar image that each cover the region of interest, determining emissivity information for the region of interest using the infrared-domain camera image, determining reflectivity information for the region of interest using the mmwave radar image and determining a concealed object classification for the subject based on the emissivity information and the reflectivity information. A corresponding system and computer program product for executing the above method are also disclosed herein.

A method for inspecting cargo with is disclosed. The method includes scanning the cargo with a matrix including at least two rows of detectors, wherein each zone of the cargo irradiated by a first X ray pulse is irradiated by at least one second X ray pulse, and a radiation corresponding to the first X ray pulse is detected by a first row of the matrix, and a radiation corresponding to the at least one second pulse is detected by at least one second row of the matrix, generating a first image of the cargo and at least one second image of the cargo, determining, for each zone of the cargo irradiated, a local mutual parasitic displacement between the cargo and the matrix, determining a total mutual parasitic displacement, and generating a corrected image of the cargo without the mutual parasitic displacement.

The present patent application relates to a volume measurement method and system, an apparatus and a computer-readable storage medium. The method comprises: collecting a first information of a measurement area when there is no object to be measured and a first depth image information of the measurement area when there is an object to be measured under a current viewing angle based on a 3D vision system located above the measurement area; identifying an outer contour of the object to be measured by comparing gray values of the first information and the first depth image information collected under different viewing angles to obtain a first depth information of the outer contour of the object to be measured, and filling in an area defined by the outer contour of the object to be measured to obtain a target of object to be measured and size information of the target of object to be measured; performing block division on an outer contour area of the object to be measured according to a preset relationship between the first depth information and divided blocks to generate block information; and obtaining a volume of the object to be measured according to a preset relationship among the block information, the size information of the target of object to be measured, and a volume of the object to be measured. According to the method, measurement is performed based on 3D vision, and the objects to be measured are directly measured, so the measurement speed is fast, the measurement accuracy is high, and the measurement range is large.

A security inspection system and a security inspection method are disclosed. The system includes: at least one inspection sub-system configured to perform ray scanning on an object to be inspected; at least one on-site image processing computer communicatively connected to the at least one inspection sub-system, and configured to store and process a radiographic image in real time; and at least one remote image processing computer communicatively connected to the at least one on-site image processing computer via at least one of a public network and a dedicated network. The at least one remote image processing computer each is configured to log in one of the at least one on-site image processing computer through remote access to synchronize remote data on a screen of the on-site image processing computer to the remote image processing computer.

The disclosure relates to a method for detecting a tampered metal item (FC), in which a non-metallic substance is concealed and which has been tampered with in such a way that the tampered metal item (FC) produces a two-dimensional X-ray image comparable to a corresponding non-tampered metal item, in two-dimensional X-ray data of an inspection object (O1, O2, O3) containing the metal item (FC), the method including (S10) determining a region containing a metal item (FC), (S20) providing an attenuation curve (D(r)) for or intensity curve (I(r)) of detected X-ray radiation along a line (L) through said metal item (FC), (S30) evaluating whether the attenuation curve (D(r)) or the intensity curve (I(r)) shows a characteristic anomaly (P1, P2) in a predetermined area, and when the attenuation curve (D(r)) or the intensity curve (I(r)) in the predetermined range shows the characteristic anomaly (P1, P2), (S40) triggering an alarm function.

A method of monitoring and reporting aircraft turnaround activities at an airport gate that includes monitoring the airport gate using a first camera that has a first field of view associated with the airport gate; generating, using the first camera, first image data capturing a first activity within the first field of view; receiving, by processor(s), the first image data; identifying, by the processor(s), the first activity captured in the first image data; comparing, using a computer application, aspect(s) of the first activity with a predetermined schedule; and displaying, on a graphical user interface remote from the first camera and using the computer application, an alert indicating that the first activity does not comply with the predetermined schedule; wherein the processor(s) include a machine learning processor.

Aspects of the present disclosure include aligning multiple three-dimensional (3D) point clouds into a common 3D point cloud. A first subset of points within a first 3D point cloud generated from one time-of-flight (TOF) view can be associated with a second subset of points within a second 3D point cloud generated from another TOF view based on each point in the first subset of points having a threshold correspondence to a unique counterpart point in the second subset of points. The first subset of points and the second subset of points can be refined, and a relative rotation and translation between the first 3D point cloud and the second 3D point cloud can be determined. The first 3D point cloud and the second 3D point cloud can be aligned within a common coordinate system based on the relative rotation and translation.