10 results about "Window detection" patented technology

The application provides a door and window hardware motion simulation test system with adaptive passive following and universal adjustment function, which solves the problems of door and window detection motion constraint, and comprises a support frame, a non-powered horizontal guide rail movably installed on the support frame, and a freely-slidable sliding mounting seat installed on the non-powered horizontal guide rail; a swing driving motor for driving the non-powered horizontal guide rail to swing relative to the support frame is installed on the support frame, a rotary driving motor is carried on the sliding mounting seat, an output shaft of the rotary driving motor is connected with a handle operating clamp through a universal transmission assembly, and the universal transmission assembly allows an included angle between the axes of the rotary driving motor and the handle operating clamp while transmitting the rotary torque; when the opening and closing action of the door and window fan drives the handle to produce horizontal displacement, the sliding mounting seat passively slides on the non-powered horizontal guide rail following the displacement. The application has the advantages of good structural stability, strong compatibility and the like.

This invention belongs to the field of image processing technology and discloses a method, device, equipment, and storage medium for judging the results of COVID-19 antigen detection. By calling a camera device to acquire the detection image based on the user's shooting command input on the user interface, image recognition is performed to complete the antigen detection result acquisition, thereby enabling rapid interpretation of the detection results. Simultaneously, the detection image undergoes a qualification verification process; only after passing the verification is the antigen card area further detected. An affine transformation is performed on the antigen card area to obtain a corrected scaled image before window detection. Finally, the detected window areas are classified. This avoids capturing unqualified images from affecting subsequent recognition results, reduces the probability of false detection, achieves a coarse-to-fine detection process, and improves the accuracy of interpretation.

Embodiments of the present application provide a large-aperture spherical equal-thickness optical window detection system and method for evaluating the surface shape change and the influence on imaging performance of a large-aperture spherical equal-thickness optical window to be detected under different installation attitudes, wherein the front and back surfaces of the optical window are concentric spherical surfaces, the aperture is 200 mm to 1000 mm, and the surface F number is 0.3 to 10. The system comprises a cassette plus compensation mirror assembly, the cassette plus compensation mirror assembly comprising a Cassegrain system, first, second and third compensation mirrors arranged in sequence along the optical axis and passing through the center hole of the primary mirror, and a detector assembly. Light passes through the optical window, then passes through the primary mirror, the secondary mirror and the third compensation mirror in sequence, and is finally received by the detector assembly for imaging. Then, the imaging performance of the large-aperture spherical equal-thickness optical window to be detected is evaluated based on the optical signal received by the detector assembly.

The application discloses a door and window sealing performance detection method and device after installation, and relates to the field of door and window detection. The method comprises the following steps: generating a sensor fusion dataset through multi-source data sensing on the door and window side; performing multi-level feature extraction and fusion on the sensor fusion dataset according to the three-dimensional structure characteristics of the door and window to generate a multi-modal feature map; generating a feature learning result through deep learning, identifying a leakage defect, and constructing a sealing defect distribution map; simulating air permeation according to pressure difference data, calculating simulated leakage quantization parameters, performing sealing evaluation, and generating a sealing score; and backtracking to the sealing defect distribution map to identify and construct a sealing performance detection report. The application solves the technical problems that the existing door and window sealing performance detection result is difficult to accurately correspond to the door and window structure and cannot spatially locate and quantify the leakage defect, and achieves the technical effects that the detection result can accurately correspond to the door and window structure and the spatial location and quantification of the leakage defect can be realized.

The utility model relates to glass door and window detection technical field discloses a kind of glass door and window wind pressure resistance detection device, including body, base is installed in body, mobile plate is slidably installed on base, two racks are installed on the mobile plate bottom, gear is engaged on the two racks, output shaft is equipped in the two gears, double-output-shaft motor is installed between the two output shafts, rotating shaft is installed on base, pressure plate is rotatably installed on rotating shaft, rotating plate is connected to the pressure plate tail end, torsional spring is sleeved on rotating shaft.The utility model is matched by double-output-shaft motor and gear, rack mechanism and mobile plate, realizes the convenient sample sending and taking of glass door and window, greatly reduces the artificial operation intensity and difficulty, improves detection efficiency, adopts torsional spring, rotating plate and pressure plate to form automatic clamping mechanism, replaces complex mechanical structure, not only simplifies equipment structure, also reduces the failure occurrence probability, is convenient for routine maintenance overhaul.

The utility model relates to door and window detection technical field discloses a door and window detection anchor clamps, including base, the base is in the middle part and is equipped with T shape installation groove, the base is in the middle part rotation setting has the pivot and is located T shape installation groove inside and one end stretches out base, the pivot outer wall fixedly set up has the gear, T shape installation groove inside one side fixedly set up slide, the slide outer wall slidingly set up has the rack, the rack one side fixedly set up has the connecting block, T shape installation groove inside one side lower extreme fixedly set up has the first electric push rod, the pivot stretches out base one end fixedly set up has the mounting panel. In the utility model, the anchor clamps can adjust the angle of the clamped door and window frame, which can better cooperate with the door and window detection work, thereby clamping and fixing the periphery of the door and window frame, preventing the door and window frame from deviating during detection, and preventing the accuracy of the detection result from being affected.

The application relates to the technical field of keyboards, in particular to a keyboard ghost key processing method and application, which comprises the following steps: acquiring current window detection key values and previous window output key values of a keyboard; judging whether the difference between the number of keys of the current window detection key values and the number of keys of the previous window output key values is greater than 1, to obtain a first judgment result; when the first judgment result includes that the difference between the number of keys of the current window detection key values and the number of keys of the previous window output key values is greater than 1, acquiring current window scanning data; judging whether there is a first detection key value in the current window scanning data, to obtain a second judgment result; and when the second judgment result includes that there is a first detection key value in the current window scanning data, taking the first detection key value as an output key value of the current window. The scheme can realize processing of only abnormal key values, and can improve the possibility of correctly eliminating ghost keys.

This invention discloses a target detection method for external radiation source radar based on a feature disparity augmentation network, comprising: acquiring a target RD spectrum based on the external radiation source radar; and performing sliding window detection on the target RD spectrum based on the feature disparity augmentation network to determine whether the target is within the target RD spectrum in the current sliding window. The feature disparity augmentation network performs target detection based on the stereo disparity features of the target RD spectrum, which are obtained by splicing the average energy features and peak energy features of the target RD spectrum. This invention enables target detection using external radiation source radar based on neural networks and improves detection performance.

Provided is an inspection and measurement system which is provided for a module included in a substrate processing system, and which performs inspection and measurement of a substrate. The inspection and measurement system comprises: an inspection and measurement unit provided outside the module; a window provided through a ceiling part of the module from the outside to the inside of the module; and an inspection and measurement stage provided inside the module. The inspection and measurement unit includes an inspection and measurement device configured to inspect and measure, through the window, an inspection and measurement target position on the substrate placed on the inspection and measurement stage. The inspection and measurement unit and / or the inspection and measurement stage is provided with a moving mechanism configured to move a relative position between the inspection and measurement device and the inspection and measurement target position.

The application provides an AI active care intelligent interaction method based on long-term memory and multi-round dialogue, and belongs to the technical field of natural language processing.The application realizes fine-grained distinction of the importance of information in long dialogue history by constructing a weighted memory tensor based on an exponential decay mechanism, retains complete interaction tracks and highlights recent semantic contributions, and effectively solves the long dependence information loss problem caused by fixed window truncation; through deep fusion of entity embedding, weighted features of the appearance round and dialogue theme evolution path, joint encoding with timing perception ability is generated and stored in a session layer dictionary, which significantly enhances the system's ability to capture user interest migration; further, through a dynamic window detection mechanism, semantic missing areas in the dialogue are automatically identified and memory enhancement based on linear interpolation is performed, filling the information gap and improving the coherence and pertinence of active questioning.