45results about How to "Timely detection and treatment" patented technology

The invention discloses a convenient-to-adjust biological sample detection instrument. The convenient-to-adjust biological sample detection instrument comprises a probe three-dimensional rotary positioning mechanism and a base; the probe three-dimensional rotary positioning mechanism comprises three layers which are rotatably connected along a vertical direction, wherein the upper layer comprises a main box body, the middle layer is a hollow annular plate, and the lower layer is a rectangular branch box body; the main box body is rotationally supported in an annular sliding rail on the hollow annular plate through a plurality of uniformly distributed sliding wheels arranged at the bottom of the main box body; the bottom of the hollow annular plate is in fixed abut joint with with the rectangular branch box body; the rectangular branch box body is fixedly connected to the top wall of the base; a transverse plate is fixedly connected to the inner wall of the rectangular branch box body; an objective table is slidably connected to the top wall of the transverse plate; and a through groove matched with the objective table is dug in the side wall of the rectangular branch box body. According to the convenient-to-adjust biological sample detection instrument of the invention, a biological sample detection head can be conveniently adjusted, detection data with relatively high precision can be conveniently obtained, the operation is simple and convenient, and the working efficiency of biological sample detection is effectively improved; in addition, the maximized probe moving range is realized on the basis of the design of the small-size slide rail; and compared with the rotatable design of a traditional probe on a three-dimensional classification positioning framework, the Convenient-to-adjust biological sample detection instrument can greatly extend an adjustable measurement range.

The invention relates to a method for intelligently dispatching multiple OCR engines, comprising the following steps: calling an OCR application interface to upload a file to be identified, specifying the type of the file to be identified; determining the consumption type of the OCR identification engine that processes the file according to the type of the file to be identified , the OCR engine of each consumption type creates a corresponding OCR queue, and the number of OCR recognition engines of each consumption type is at least one; The timeout detection of whether the OCR recognition engine of this consumption type has timed out. If it has not timed out, the file to be recognized will enter the corresponding OCR queue. If it has timed out, it cannot be enqueued and the user will be notified. The invention has the advantages of fully utilizing the advantages of the OCR recognition engines of various types of consumption to achieve high-performance and high-accuracy recognition, orderly dispatching each OCR recognition engine, and preventing queue congestion, system errors, and engine paralysis.

The invention provides a video signal monitoring method and a video signal monitoring system. The video signal monitoring method comprises the steps of respectively selecting a source video image and a target video image corresponding to each timestamp from a source video signal and a target video signal according to a plurality of appointed timestamps; respectively extracting source feature information and target feature information from the source video image and the target video image corresponding to each timestamp, and computing a reference feature difference value corresponding to each timestamp; according to the reference feature difference value of any timestamp, the reference feature difference value of previous n1 frames of any timestamp and the reference feature difference value of latter n2 frames of any timestamp, determining a target feature difference value corresponding to the any timestamp; comparing the target feature difference value corresponding to the any timestamp with a predetermined threshold to determine whether the target video image corresponding to the any timestamp is abnormal, and counting the quantity of the abnormal target video images; and giving an alarm for prompting when determining that the target video signal is abnormal according to the quantity of the abnormal target video images.