32results about How to "No need for manual identification" patented technology

The present application relates to a method, device, computer equipment and storage medium for determining a target area of ​​a building. The method includes: obtaining a set of line segments enclosing the building model; extracting the current line segment from the set of line segments, and using the remaining line segments in the set of line segments as the line segments to be compared; extracting the collinear line segment of the current line segment from the line segments to be compared, and using the current line segment Merge with the collinear segment to obtain the merged segment; delete the current segment and the collinear segment from the segment set to update the segment set, and return to the step of extracting the unprocessed current segment from the line segment set to continue until the preset condition is met When the merging process is stopped, the merged line segment set is obtained; the enclosed area formed according to the merged line segment set is used as the corresponding target area. The method can improve the efficiency of determining the target area.

The invention provides a method and a device for collecting malicious software automatically, wherein the method comprises the following steps: S1, scanning web pages through a simulative browser, identifying and capturing a malicious code of the scanned web pages; and S2, constructing a malicious code executing environment to capture the malicious code so as to obtain the malicious software. The method can realize to collect the malicious software automatically without manual identification; therefore, efficiency is increased greatly; in addition, the method starts to identify the malicious code so as to obtain the malicious software without a method of collecting the static characteristics of the malicious software; the malicious software including the malicious code can be collected no matter the malicious software uses deformation methods; and reliability and relevance ratio are improved greatly.

The invention provides a corn plant type identification method, device, electronic equipment and storage medium. The method includes: acquiring a field corn plant image, obtaining an edge image based on the field corn plant image; and disconnecting the annular path of the edge image based on the edge image , obtain the initial path set; based on the initial path set, remove the multi-path connection points corresponding to the field corn plant image to obtain the path end point set; perform quadratic curve fitting on each pair of end points in the path end point set to obtain the target path set ; Based on the target path set, determine the angle between the center line of the corn stalk and the straight line fitting the corn leaf veins, and determine the corn plant type based on the angle. The method provided by the invention can automatically determine the maize plant type through the field maize plant image, without manual identification, greatly improves the efficiency of plant type data collection, and the accuracy of the maize plant type judgment, and is the development of automatic variety evaluation and commercial breeding. Provide support.

The invention discloses a file update identification method and device, which are used for automatically identifying whether a file update in a test environment is a normal update. The scene recognition method for file update includes: the server obtains m system files from p hosts; the server determines the update files of the m system files; the server determines the update information of the update files; the server According to the update information, it is determined whether the m system files are updated normally. This approach reduces the cost of scene recognition for file updates.

The invention relates to a novel laminated diode manufacturing process and a chip sieve tray thereof. The novel laminated diode manufacturing process is characterized by comprising the following steps of forming a wide groove in the P surface or the N surface of a silicon wafer, wherein the groove is 70 to 250 mum in width and 60 to 100 mum in depth; scribing in the way that the center of the bottom of the wide groove serves as a boundary; after filling a lead and sieving a chip, welding and fixing the chip and the lead by using a welding material, and when the chip is sieved, matching a small surface formed by forming the wide groove with a profile hole of the chip sieve tray to identify the polarity of the P surface or the N surface; and sequentially performing acid washing, strip combing, sizing, glue curing, mould pressing, post curing, electroplating, testing, character printing, packaging and goods delivery. Due to the steps of forming the wide groove in the P surface or the N surface of the silicon wafer, scribing in the way that the center of the bottom of the wide groove serves as the boundary, matching the small surface formed by forming the wide groove with the profile hole of the chip sieve tray to automatically identify and adjust the polarity of the P surface or the N surface, manual identification is not required, the efficiency and the accuracy are effectively improved, and the damage to the chip caused by manual adjustment with a nipper is avoided.

The invention relates to a non-destructive detection method for weld defects based on computer vision, which includes the following contents: performing semantic segmentation on the X-ray film of the weld to obtain the edge of the weld, and performing connected domain analysis on the inner area of ​​the edge of the weld to obtain the connectivity inside the weld domain; segment the edge of each connected domain to obtain the outer edge near the base metal side and the inner edge near the center of the weld; respectively obtain the recognition, blackness and straightness of the inner edge and outer edge; Use the recognition and blackness to obtain the definition of the inner edge and the outer edge; get the unfused rate of the connected domain according to the definition difference and flatness difference between the inner edge and the outer edge; set the threshold, and connect the threshold and the connection The unfused rate corresponding to the domain is compared, and the connected domain is marked according to the comparison result of the threshold value and the unfused rate corresponding to the connected domain. According to the technical means proposed by the present invention, the non-fusion defect of the weld can be accurately identified, and the identification of easily confused types of the weld defect is more accurate.

The invention discloses a method for monitoring a motor vehicle in case of regulation violation for running the red light. The method includes the following steps: A. a red light signal time range is obtained, and detection of running against guiding arrows beyond the red light signal time range is conducted; B. running speed V of the vehicle in front of a stop line in the red light signal time range is detected, and if the running speed is larger than a preset value Vy, a first evidence picture of the vehicle is shot; C. whether the vehicle is pressed on the strop line is detected, and if the vehicle is pressed on the stop line, a second evidence picture is shot, a step D is conducted, otherwise, detection stops; and D. a regulation violation type of the vehicle is judged, and a third evidence picture is shot. The invention further discloses a device for monitoring the motor vehicle in case of the regulation violation for running the red light. The method and device has the advantages of being high in collecting accuracy, small in data redundancy, low in cost and capable of further determining a detailed regulation violation type and monitoring regulation violation behaviors of the vehicle running against the indicating signs during the green light.