8results about How to "Narrow detection range" patented technology

The invention provides a single light source atom magnetometer with a low measurement dead zone and a magnetic field measurement method. The single light source atom magnetometer comprises a laser, an optical fiber splitter, a first collimator, a second collimator, an alkali metal atom gas chamber, an excitation magnetic field coil, a signal processor, a first photoelectric detector and a second photoelectric detector, according to the single-light-source atom magnetometer, the same light source is divided into two beams to detect the atom gas chamber at different angles, detection signals are obtained, the detection range of the atom magnetometer reaches 360 degrees, and the detection dead zone of the atom magnetometer is greatly reduced. By applying the technical scheme of the invention, the technical problem that the sensitivity is reduced or the measurement is failed when a magnetic field in a certain direction is measured due to the inherent measurement dead zone in the operation process of the traditional magnetometer is solved.

The invention provides a semantic map construction method and system based on multi-input information, and the method comprises the steps: inputting data, and obtaining a point cloud map, GNSS data with a timestamp, and image information with a timestamp; semantic element extraction and vectorization are carried out, semantic elements are extracted from the point cloud map through a deep learning model and stored as vectorization elements, and the vectorization elements comprise point elements representing specific points on the map and line elements composed of a series of continuous point elements and used for representing linear features; the polygon element is composed of a series of point elements which are connected end to end and used for representing a clear boundary area; carrying out manual correction on the extracted semantic elements; and outputting the corrected semantic elements as a semantic map in a standard format. The method has the advantages of high detection efficiency, high accuracy and the like, and the efficiency and precision of map construction can be effectively improved.

This application relates to the field of automatic control technology and provides a method, apparatus, and storage medium for controlling the recharge of a self-moving device. The method includes: acquiring an environmental image of the self-moving device during the recharge process; performing target detection on the environmental image to obtain a first detection frame including the charging dock; extracting a second detection frame corresponding to the charging dock features from the first detection frame; wherein the charging dock features are identifying features on the charging dock, and the image area of ​​the second detection frame is smaller than that of the first detection frame; determining the position information of the second detection frame; and controlling the self-moving device to move towards the charging dock based on the position information of the second detection frame. This application solves the problem of inaccurate control of the self-moving device returning to the charging dock. By narrowing the target detection range, the recharge control of the self-moving device can be made more precise.

The application relates to a fire hose inspection and detection device and relates to the field of fire hose detection, which comprises a test table, water outlet boxes and water storage frames arranged in a diagonal line on the left and right sides of the test table, two locking mechanisms corresponding to the water outlet boxes and the water storage frames respectively arranged at the upper end of the test table, and an environment simulation unit arranged between the two locking mechanisms. The fire hose is arranged in an S-shaped mode for subsequent detection, the overall detection range of the fire hose is shortened, the fire hose can be fully detected in a long enough detection length, and the authenticity of the fire hose detection result is greatly improved; the use condition of the subsequent fire hose after back and forth friction with different ground is simulated by replacing the environment simulation plate and the friction sleeve, the limitation of the fire hose detection in a single environment is changed, the quality of the fire hose is more comprehensively detected, and a more accurate wear resistance detection result is obtained.

The invention relates to a method and system for detecting same-color pollutants in a snowfield area near a garbage can, and the method comprises the steps: obtaining the image data of the garbage can, and extracting the position information of the garbage can through the image data; determining a plurality of candidate detection areas based on the position information, and performing snowfield judgment on the plurality of candidate detection areas through a snowfield feature recognition algorithm to obtain a snowfield area identification result; carrying out grid division on the candidate detection area which is identified as a snowfield according to the snowfield area identification result to obtain a plurality of sub-areas; and extracting color feature parameters and texture feature parameters of the plurality of sub-regions, and performing same-color pollutant judgment on the plurality of sub-regions through a feature combination scoring algorithm to obtain a detection result. The detection accuracy of the same-color pollutants in the snowfield environment is improved.

The present application belongs to the technical field of 3D AOI industrial vision detection, and relates to a fiducial point detection method and device for electronic devices and a readable storage medium. A fiducial point to-be-positioned region image is collected, the fiducial point to-be-positioned region image is detected, and at least one coarse positioning circular region where the fiducial point is located is obtained. Based on the radius of each coarse positioning circular region and the radius of a standard fiducial point, the positioning score of each coarse positioning circular region is calculated. The coarse positioning circular region with a positioning score greater than a preset positioning score threshold is taken as a target coarse positioning circular region. The edge points of the target coarse positioning circular region are extracted multiple times, the edge points extracted each time are fitted, and multiple fitting circles corresponding to the target coarse positioning circular region are obtained. The difference between the radius of each fitting circle and the radius of the standard fiducial point is calculated, the fitting circle with the smallest difference is taken as the best fitting circle, and thus the fiducial point of the electronic device is obtained, effectively improving the detection precision and detection efficiency of the fiducial point.

The invention provides an information detection method and device, electronic equipment, a storage medium and a program product, and relates to the technical field of data processing. The method comprises the following steps: determining whether function description information contains target description information corresponding to a preset artificial intelligence (AI) description information set in response to obtained updated function description information of a detected network; whether the target description information exists or not is determined according to the function description information, the information detection range is narrowed, and the calculation amount is reduced; if the function description information contains target description information corresponding to the preset artificial intelligence (AI) description information set, sending an information request to the detected network; the information request comprises interface calling information of the AI model; and according to the network feature information fed back by the detected network, determining whether the detected network contains the AI model used for generating the information, thereby realizing timely detection of the generated service corresponding to the detected network, reducing supervision blind areas, and improving detection efficiency.