36results about How to "Improve misjudgment" patented technology

The invention relates to detection equipment, a detection method and device and a storage medium. The detection equipment comprises a radar module used for emitting radar waves, receiving echoes returned based on the radar waves, and determining motion parameters of a detection object in a radar wave action range according to emission parameters of the radar waves and receiving parameters of the echoes; an infrared detection module used for detecting infrared change parameters in the detection space; and a processing module connected with the radar module and the infrared detection module andused for determining whether a target object exists in the detection space or not according to the motion parameters and the infrared change parameters and determining the state of the target object when the target object exists so as to obtain a determination result. Thus, by integrating the radar module and the infrared detection module in the same equipment and combining the functional advantages of the radar module and the infrared detection module, whether a human body exists or not can be accurately judged, the state of the human body can be determined, and better detection service is provided.

The invention discloses a falsifying-preventing electronic strip seal. The falsifying-preventing electronic strip seal is composed of an insertion bolt and a bolt base. A bolt body of the insertion bolt comprises a rod body, a cap head extending outwards from the top end of the rod body, a vertically-through containing hole and a first clamping structure located at the bottom edge of the rod body. A counterbore with the inner diameter larger than or equal to a bolt hole is formed in the top edge of the containing hole in an outward-extending mode. A circuit board is installed in the containing hole and comprises a circuit wire, a lower contact, an upper contact and an RFID chip, wherein the lower contact and the upper contact are connected with the circuit wire, and the RFID chip is installed on the circuit wire. A third buckling part larger than the containing hole is installed below the containing hole, an upper elastic sheet abutting against the bottom end of the counterbore and an upper elastic sheet abutting against the bottom face of an upper cover are installed at the top end of the containing hole and used for elastically suspending the circuit board in the containing hole, and the upper contact is controlled to be incapable of being electrically connected with the upper cover; however, when the first clamping structure is inserted into the bolt base and can not be separated, the RFID chip can be electrically connected with an antenna inside the bolt base through the lower contact, and the upper contact can be electrically connected with the upper cover to enable the bolt body to form an external antenna of the RFID chip.

The invention discloses a three-dimensional salient object detection technology of a multi-attention guided neural network. A double-flow neural network is constructed in a two-input mode, and an attention mask graph is generated by using two pieces of information, namely RGB and a disparity map; wherein the mask pattern comprises information of two modes, so that the two modes complement each other, and the principle problem of the disparity map can be avoided; the position information of the object can be quickly determined while the program running speed is increased; secondly, decoding isperformed by using down-sampling coding and up-sampling, and pixels of the image at detail positions are recovered step by step, so that the final accuracy is improved, and the result is closer to thecondition of a real human observation object. The negative effect brought by the principle problem that the pixel is still the highest when the object closest to the disparity map is a non-significant object is solved.

The invention provides a method for improving electricity larceny prevention analysis accuracy based on real-time metering. The method comprises the following steps: 1, preliminarily judging whether an electricity larceny behavior exists in a user electricity meter or not through voltage real-time metering; 2, preliminarily judging whether the electricity larceny behavior exists in the user electricity meter or not through current real-time metering; and 3, judging whether the electricity larcenybehavior exists in the user electricity meter according to the change of real-time metering of the user electric quantity. According to the invention, 1) the total metering value and the data acquired by each user for electricity utilization are obtained based on the unified time reference,and are subjected to difference correlation analysis of long-time sequence, so that the situation of misjudgment or incapability of judging electricity larceny caused by a relatively large line loss error in an electric energy difference method is improved; and 2) the electricity larceny behavior can be detected without additionally adding hardware equipment on the basis of a voltage intelligent algorithm, and the cost is low.

The embodiment of the invention relates to a method and a device for carrying out trembling wave identification on electrocardiosignal data. The method comprises the following steps: acquiring first electrocardiosignal data; performing electrocardiogram data fragment division processing on the first electrocardiogram signal data to generate a plurality of pieces of first fragment data; according to all the first fragment data, performing maximum slope statistical processing to generate first electrocardiogram slope data; carrying out sampling point amplitude overrun frequency statistical processing on each piece of first fragment data to generate first fragment overrun frequency data; performing sum calculation processing on all the first segment of overrun frequency data to generate first electrocardio overrun frequency data; according to the first electrocardio slope data and the first electrocardio over-limit frequency data, a first corresponding relation table reflecting the corresponding relation of the electrocardio slope range, the electrocardio over-limit frequency range and the chattering wave probability is inquired, and first chattering wave probability data is generated. According to the embodiment of the invention, the signal identification precision of the electrocardiograph monitoring equipment can be improved, and the conditions of misjudgment and missed judgment are improved.

The invention relates to a cleaning robot and a material identification method thereof, which is suitable for cleaning robots. The cleaning robot is pre-set with a threshold comparison table and comprises a plurality of comparison thresholds, wherein each comparison threshold defines an interval of accumulated energy information accumulated by the moving plane of different materials within a predetermined period of time. The cleaning robot generates accumulated energy information during the movement, so that the cleaning robot can find the comparison threshold corresponding to the accumulated energy information from the threshold comparison table, and then determines the material of the moving plane contacted by the cleaning robot.