5 results about "Computer aided detection" patented technology

This invention relates to the fields of intelligent manufacturing and computer-aided inspection technology, and particularly to a system for constructing and reasoning a knowledge base for precision machining geometric error inspection operators. The system includes a feature parsing module, used to read a 3D solid model containing product geometric technical specifications, extract geometric surface features and associated tolerance specifications from the model, wherein the tolerance specifications include tolerance thresholds, and convert the geometric surface features and tolerance specifications into semantic ontology instances, outputting a set of element instances. In this invention, by automatically parsing the geometric features and geometric tolerance semantics in the 3D solid model, and combining this with actual point cloud data obtained from on-machine measurement for error assessment and reverse calculation of compensation parameters, a closed-loop mapping from design tolerance semantics to CNC system compensation instructions is achieved. This enables the machining equipment to automatically correct the tool position and coordinate system offset based on actual inspection results, thereby improving the machining accuracy and consistency of parts.

The invention discloses a body-in-white data inspection method, and relates to the technical field of vehicles. The inspection method comprises the following steps: inspecting body-in-white data according to guidance items preset in a computer-aided detection system, wherein the guidance items comprise a first-level inspection item and a second-level inspection item; wherein the first-level inspection items comprise data static inspection, manufacturability inspection, opening and closing piece inspection, sealing inspection, bill of material inspection and motion inspection, and the second-level inspection items comprise preset second-level items and second-level item inspection content; and the computer-aided detection system carries out data inspection on the body-in-white according to the guidance of the first-level inspection item, the second-level item and the inspection content of the second-level item, and generates a problem report file. By means of the checking method, the high-frequency problem and the important influence problem in the trial-manufacturing link can be checked, checking personnel do not need to judge which items need to be checked according to the working experience of the checking personnel, and the operation difficulty of the checking personnel is reduced.

Aspects of the embodiments described herein are related to systems, methods, and computer products for performing computer-aided detection of fraud device installation events, especially at an Automated Teller Machine (ATM). Aspects of embodiments described herein provide artificial intelligence systems and methods that detect the presence of obstructions and persons to determine when a fraud device installation event occurs. The fraud detection system performs object detection and can determines whether a detected access event has an associated transaction to determine that a fraud device installation event occurs. The fraud detection system can also track the time he camera view is obstructed, the activity time of the person standing at the monitored device when no transaction occurs, and detect objects that resemble fraud devices to determine if a fraud device installation event occurs.

This application provides a computer-aided detection and diagnosis system for breast microcalcifications, comprising: an acquisition unit for acquiring at least two breast X-ray images of the same breast tissue from different projection angles as a target view group; a region detection unit for detecting suspected microcalcification candidate regions in each single view to obtain a candidate region set corresponding to each single view; based on the geometric projection relationship between different views in the target view group, performing cross-view pairing and association on candidate regions from different views to establish candidate region pairs characterizing the image appearance of the same potential microcalcification at different projection angles; an extraction module for extracting cross-view consistency features for each candidate region pair; a calculation unit for fusing the cross-view consistency features corresponding to each candidate region pair and its internal image features in each single view to form an enhanced feature vector of the potential microcalcification; and obtaining the benign or malignant classification result of the corresponding potential microcalcification.

The present disclosure relates to the technical field of computer-aided detection of fluid machinery, and particularly relates to a centrifugal fan blade geometric feature determination method, device, equipment and medium, which is used to solve the problems of large calculation amount and low processing efficiency of traditional determination methods of middle camber lines, and the method comprises: determining a first camber line point set and a second camber line point set for representing the surface shape of the centrifugal fan blade; for a first point in the first camber line point set, a nonlinear analytical model is established based on the parametric representation of an inscribed circle, the nonlinear analytical model defines a geometric tangent constraint based on the first point and an unknown second point on the second camber line; the position of the unknown second point on the second camber line is determined according to the nonlinear analytical model; the center point of the inscribed circle is calculated based on the first point and the determined second point; the middle camber line is fitted based on the traversal of all first points in the first camber line point set and the use of multiple center points; and at least one geometric feature of the centrifugal fan blade is determined by using the middle camber line.