39results about How to "Visual comparison" patented technology

The invention relates to a double-base-layer anti-fake structure and a manufacturing method and an anti-fake method thereof. The double-base-layer anti-fake structure comprises a first base layer, an adhesive layer, a bottom layer and a second base layer, wherein one of the two surfaces of the first base layer is coated with a release agent, and a metal plating layer is formed on the surface, coated with the release agent, of the first base layer; the bottom layer is coated with a release agent, and the surface with the release agent is attached to the metal plating layer through the adhesive layer; the second base layer is stuck to the surface, without the release agent, of the first base layer. The sticking efficiency can be improved by improving the physical structure of the anti-fake structure.

The invention discloses an online car-hailing order display method and device, and belongs to the technical field of communication. The online car-hailing order display method comprises the following steps: receiving travel information input by a user, wherein the travel information comprises departure position information and destination position information; according to the travel information, order information is obtained from at least two online car-hailing platforms, and the order information comprises order prices and order waiting duration; and displaying the order information obtained from each online car-hailing platform in the form of a card.

The present invention is a method capable of judging the measurement error stability of a single-phase smart electric energy meter at the installation site. In the EEPROM of the electric energy meter, the factory error data curve of the meter is formed, and then the whole second judgment is inserted in the main loop of the single-phase smart electric energy meter software, the display button is pressed for > 5 seconds, the display error symbol = 1, and the error display symbol is 1 Judgment, read the current real-time power of the metering chip, according to the current real-time power, average the error data of two adjacent test points before and after to display the ideal error data, the error display timing is greater than 240 seconds to judge, display error sign = 0, return to normal main loop. It can not only meet the requirements of measurement accuracy, but also save operating costs, save labor and time, and has the advantages of being simple and applicable, fast and accurate.

The invention discloses a method and system for evaluating classroom attention, comprising: S1. Performing head posture detection on a frame-by-frame basis of a collected classroom video of a class, and obtaining the position frame and head posture of students in each frame of images; Obtain the number of students in each frame of images, and record the mode of the number of students in each frame of images as the total number of students; S2. Based on the head posture of the students in each frame of images and the total number of students, calculate the positive head-up rate and activity of the class. Index; among them, the positive head-up rate is the average of the ratio of the number of students whose head posture is a positive head-up to the total number of students; the activity index is the average of the frequency of the students' head posture from non-positive head-up to head-up posture; S3. Calculate The product of the positive head-up rate for the class and the activity index yields the attention estimate for the class. The invention designs an activity index used to describe the active state of the classroom, and the activity index and the head-up rate complement each other to assess the attention in the classroom, so that the assessment result is more accurate.

The present invention provides a building quality prediction method, device and storage medium based on deep learning, including: acquiring quality data of multiple dimensions, and the quality data of each dimension respectively includes corresponding quality evaluation scores, dimension information and building type information; The dimension weight values ​​of different dimension information are determined based on the building type information, and the quality data of multiple dimensions of the same building have the same building type information; the variable values ​​in the first deep learning model are filtered according to the multiple dimension information to obtain the second a deep learning model, where variables in the second deep learning model correspond to quality data of multiple dimensions; and a third deep learning model is obtained by adjusting variable weights of variable values ​​in the second deep learning model based on the quality data of multiple dimensions; A plurality of quality evaluation scores and dimension weight values ​​are input into the third deep learning model to obtain building quality prediction results, accuracy prediction results and comprehensive results.

Methods and systems for collecting high definition images of spent firearm cartridges under different illumination conditions described herein. Features indicative of firing pin impact with each spent firearm cartridge are extracted and compared to features extracted from different spent firearm cartridges. The likelihood that the cartridges were fired from the same firearm is determined based on the differences between the extracted features. A cartridge fixture locates a spent firearm cartridge inside an imaging chamber illuminated by different combinations of illumination devices located in different locations with respect to the spent firearm cartridge. Collected images are filtered by a trained image feature filter to extract features indicative of a firing pin strike. Features extracted from different spent firearm cartridges are compared to determine the likelihood that the spent firearm cartridges were fired from the same firearm based on one or more error metrics characterizing feature differences.

The invention relates to a method for managing device setting information, wherein said method comprises that: presetting setting mark of setting information type, when user uses client to manage thedevice setting information, the client obtains setting mark and operation mark, and one or more marks of manage targets to be sent to server; the server operates setting information relative to the manage target and setting mark. The invention can manage and maintain the setting information of one or more devices, to improve working efficiency.

The invention discloses a method of converting EDA (Electronic Document Authorization) files to ATE (Automatic Test Equipment) machine station format files. The method comprises the following steps of: processing (E) VCD (Video Compact Disc) format files in the EDA files by using a series of processing steps to produce WGL (Wingate License File) format files; and secondly converting the WGL format files and STIL (Standard Test Interface Language) format files in the EDA files to the ATE machine station format files by using a series of processing steps. According to the method disclosed by the invention, a special file processing technology is adopted, so that the conversion time is greatly reduced, wherein the WGL conversion time is about one third of a foreign product, so that a blank space of the field of national semiconductor testing is filled, and a new selection is supplied for enterprises needing the technical scheme of the invention, such as design companies and ATE manufacturers.