601 results about "Movement detection" patented technology

The invention provides an image processing method and device and electronic equipment, and the method comprises the steps: obtaining a continuous frame image, carrying out the motion detection of the continuous frame image, obtaining each motion region in the continuous frame image and the speed of each motion region, determining the target type of each motion region through semantic recognition, determining a priority corresponding to each motion area according to the speed and the target type of each motion area, and performing perception recognition on the motion areas with different priorities by adopting corresponding perception strategies to obtain a perception result; according to the method, perception identification is focused on a dynamic area and differentiated processing is carried out, a large amount of redundant calculation in a static or non-key area is effectively avoided, system calculation resources are saved, hardware loads are reduced, key targets can be ensured to be preferential, the real-time performance and response speed of the system are improved, and vehicle driving safety is ensured.

The invention discloses a wearable knee joint self-powered sensing system and a use method, relates to the technical field of motion monitoring, and solves the technical problem that a motion detection sensor integrating light weight and a self-powered mode is lacked in the prior art. The motor comprises a stator part and a rotor part which are rotationally arranged, a center shaft penetrating through the stator part is arranged on the rotor part, and the stator part and the rotor part are rotationally connected through the center shaft; and a motion state monitoring module and a self-powered module are sequentially and coaxially arranged at the connecting part of the stator part and the rotor part, so that the rotation angle and direction of the knee joint are accurately detected, and key data support is provided for subsequent motion analysis and health monitoring.

The invention discloses a movement detection and feedback intervention system for obese patients, and relates to the technical field of movement intervention for obese patients, the system comprises a data acquisition module, a personalized movement scheme generation module, a movement monitoring module and an interaction module; according to the method, artificial intelligence and big data analysis technologies are deeply fused, multivariate data of a patient is comprehensively and accurately collected, a personalized exercise scheme meeting individual requirements can be generated, the pertinence of the exercise scheme is improved, and during exercise monitoring, the multi-modal data fusion technology is applied, so that the accuracy of exercise monitoring is improved. Various physiological parameters and exercise environment data of a patient are collected in an omnibearing mode, the state of the patient is accurately controlled in real time, once monitoring data deviates from a preset target, parameters such as exercise items, strength, time and frequency in an exercise scheme can be rapidly and dynamically adjusted according to a real-time deviation correction algorithm, the safety of the exercise process is practically guaranteed, and the exercise efficiency is improved. The goal of losing weight is effectively promoted.

According to the method and device for determining the pose of the virtual object display unit and the electronic equipment, in the method for determining the pose of the virtual object display unit, the current pose of the virtual object display unit is determined according to the current pose of the vehicle body, and then the jitter parameter measured by the motion detection device is obtained; and according to the shaking parameter and the current pose of the virtual object display unit, determining the pose of the virtual object display unit at the display moment of the virtual object, thereby realizing that the virtual object displayed by the virtual object display unit can fit an actual scene and is not influenced by the bumping of a vehicle body to shake.

Typical autonomous systems implement black-box models for tasks such as motion detection and triaging failure events, and as a result are unable to provide an explanation for its input features. An explainable framework may utilize one or more explainable white-box architectures. Explainable models allow for a new set of capabilities in industrial, commercial, and non-commercial applications, such as behavioral prediction and boundary settings, and therefore may provide additional safety mechanisms to be a part of the control loop of automated machinery, apparatus, and systems. An embodiment may provide a practical solution for the safe operation of automated machinery and systems based on the anticipation and prediction of consequences. The ability to guarantee a safe mode of operation in an autonomous system which may include machinery and robots which interact with human beings is a major unresolved problem which may be solved by an exemplary explainable framework.

An audio device comprising, an interface, one or more first output transducers, one or more input transducers, and a processor. The audio device is configured to emit a first ultrasound signal, receive a first reflection indicative of the first ultrasound signal, process the first reflection to determine movement, and in response to movement being determined, adjust one or more audio processing parameters of the audio device.

A computerized method for vehicle cabin safety includes determining, based on one or more images showing an interior of a vehicle cabin, at least one object in the vehicle cabin. The method includes determining a number of features of the at least one object. The method includes determining a danger level for the at least one object based on the number of features. The method includes, in response to determining that the danger level meets a given criteria, outputting a warning signal.

The invention discloses a high-voltage vacuum circuit breaker contact motion detection method and system based on an inversion model, and the method comprises the steps: firstly designing a dual-position speed sensor collection unit for collecting speed signals of different positions and different characteristics, and achieving the mutual triggering; based on an inversion model, a programmable logic component and a CPU are adopted for result operation and logic inversion and correction, a rotation angular velocity curve is obtained, and the accurate motion state is obtained through comparison; according to the method, the stroke characteristic curve in the arc extinguish chamber of the high-voltage vacuum circuit breaker can be accurately reflected, mutual conversion of angular velocity and linear velocity at different positions can be realized based on the thought of an inversion model, and finally effective data which can be analyzed and judged can be output for system application.

A device for detecting the movement of part of a user's body and / or the approach of a portable user device. The device placed on board a motor vehicle. The device includes: a near field communication antenna having a resonance frequency between 3 and 30 MHz, including at least one continuous winding in the form of at least two sets of strips, each having different variable capacitance and different sensitivity, connected in parallel with the antenna. The antenna generating a different variation of impedance on the approach of part of a user's body towards the first or second set; a device measures a variation of impedance of the antenna. The device has a high series resonance frequency and detects the approach of a portable user device or movement of the body part taking place consecutively in front of the first and then in front of the second set of strips.

The invention comprises a method for controlling a mobile service robot for monitoring the movements of a person, comprising identifying the person, associating the identified person with a stored monitoring profile, capturing the person's movements by means of a motion detection sensor, generating observation points for the captured person, evaluating the captured movements of the person, retrieving position data as coordinates of a map, and automatically outputting information to the captured and identified person via an output unit of the mobile service robot.

The invention belongs to the technical field of motion detection of piezoelectric driving elements, and particularly relates to a stroke detection device of a threaded motor, which comprises a rotary part, a shell assembly, a driving part, a driving part, a driving part, a driving part, a driving part and a driving part, and is characterized in that the rotary part is coaxially arranged with a screw rod and is in circumferential rotation and axial fixed connection with the shell assembly; the magnetic transmission mechanism is arranged between the rotating part and the screw rod, and the magnetic transmission mechanism is configured to enable the rotating part to synchronously rotate along with the screw rod under the condition that the rotating part is not in contact with the screw rod; the coding ring is coaxially and fixedly arranged relative to the rotating part; and the reading head is fixedly arranged on the shell assembly and is arranged opposite to the coding ring. According to the invention, the problems of complex structure, high installation precision requirement, friction loss and the like caused by axial movement of the traditional coding disc along with the screw rod are effectively solved; therefore, the mechanical structure is simplified, the manufacturing cost is reduced, energy loss caused by transmission friction is avoided, and the motion control precision and the overall working performance of the thread piezoelectric motor are remarkably improved.

In various embodiments, a computer-implemented method comprises detecting that a speaker unit has moved to a first location, determining, based on positioning information associated with the speaker unit, a position and an orientation of the speaker unit relative to a target listening area, filtering, using a filter determined based on the position and the orientation, an input audio signal to generate a filtered audio signal, and outputting the filtered audio signal using one or more loudspeakers.

The utility model discloses a pallet flattening detection structure, which comprises a base, the top of the base is fixedly connected with a detection frame, the base is provided with a rotating mechanism, the top of the detection frame is provided with a first mounting hole, the top of the detection frame is provided with a detection mechanism, the side wall of the detection frame is fixedly connected with a connecting block, and the connecting block is provided with a second mounting hole. A guide cylinder is fixedly connected to the tail end of the connecting block, a guide block is inserted into the guide cylinder, a protruding block and a wheel frame are fixedly connected to the top end and the bottom end of the guide block correspondingly, a flattening wheel is installed in the wheel frame, threaded pipes are fixedly connected to the four corners of the top of the base correspondingly, and leveling assemblies are installed in the threaded pipes. According to the utility model, the flatness of each position on the surface of the tray can be detected, the position of the detection mechanism or the tray does not need to be manually moved, the detection structure can be leveled to ensure that the detection structure is horizontally placed, and related detection parts are detachable, so that regular maintenance and replacement are facilitated.

A video recording apparatus includes a camera, a motion detection controller, and a main controller. The camera performs a video recording function of an outside of a vehicle. The motion detection controller obtains sensing data in a digital format at specific intervals based on a reception signal of radar, determines signal strength of the reception signal based on the obtained sensing data, determines target data when the signal strength is greater than or equal to a threshold strength, and outputs an activation signal when a number of the target data is greater than or equal to a first threshold value, where the main controller activates the camera upon receiving the activation signal.

The invention discloses a railway track online movement detection system and method, and relates to the technical field of rail detection, and the technical scheme is that the railway track online movement detection system comprises a detection management platform module, a signal processing module is arranged at the connection end of the detection management platform module, and a data processing module is arranged at the connection end of the signal processing module; the signal processing module comprises a track geometric parameter detection management module, a track fastener detection module and a foreign matter detection module, and the track geometric parameter detection management module comprises a track height detection module, a track gauge detection module, a track direction detection module, a horizontal detection module and a triangular pit detection module. The rail geometric parameter detection and management module comprises an image monitoring module, a laser photoelectric monitoring module and an ultrasonic monitoring module. The rail geometric parameter detection and management system has the beneficial effects that the working efficiency of an inspection mode is high, problems on a railway transportation line are found in time, a scientific and reasonable method is applied in time to maintain and repair the line, and good operation of the line and transportation safety are ensured.

The invention provides a personnel safety movement detection method and system based on a visual identification technology, and the method comprises the following steps: S1, carrying out the image collection of a video image, and recognizing and obtaining a walking route region in the video image; s2, identifying and acquiring a target human body area in the video picture through a human body detection model pre-trained based on YOLOv5, and identifying and acquiring a target vehicle area in the video picture through a vehicle detection model pre-trained based on YOLOv5; and S3, judging whether the target human body area is located in the target vehicle area or the walking route area or not, and when the target human body area is located outside the target vehicle area and the walking route area at the same time, judging that the target human body is located outside the safe walking route, and triggering an alarm. According to the invention, the method can achieve the detection of the moving path of a person in a safe walking route, and can effectively avoid the interference of a vehicle driver on a detection result.

The utility model relates to the technical field of fitness equipment, in particular to a motion detection device applied to the fitness equipment, which can acquire the acting condition and the weight of a counter weight in the motion process. Comprising a weight bearing module, a distance detection module and a control electronic watch, the weight bearing module comprises a movable rod, a balancing weight and a plug pin, a user selectively inserts the plug pin into the balancing weight according to exercise requirements, and the user drives the movable rod and the balancing weight to vertically move upwards for exercise; specifically, the distance detection module selects a gyroscope or a pull box to detect the movement distance and the movement speed of the movable rod, and the movement distance and the movement speed are displayed by controlling an electronic watch; the control electronic meter is electrically connected with the bolt and displays the total weight of the corresponding balancing weight according to the magnitude of the passing current; and the user can intuitively obtain own motion parameters.

A system and method for analyzing the swing motion of sporting equipment, for example, a golf club, including at least one or more inertial acceleration sensors, one or more gyrometric sensors, a data acquiring unit, a core micro-controller, and a Bluetooth radio. The motion detecting unit detects at least one motion of the swing. Particularly, the sensors and data acquiring unit calculates swing information using the acquired detection data to match a user's swing motion to optimized equipment. Particularly, the data acquiring unit acquires detection data from the sensor(s) and forwards such data to a computing device or server having stored information that matches the swing motion to an optimized swing device.

An electronic device displays a user interface including a slider control that represents a continuous range of values between a first value and a second value, the slider control includes a first end that corresponds to the first value and a second end that corresponds to the second value, and the slider control further includes a movable indicator configured to move along the slider control between the first and the second end. The device detects a contact on the slider control followed by a movement of the contact. In response to the movement detection, the device moves the moveable indicator along the slider control and generates a tactile output upon the moveable indicator reaching the first end of the slider control with a tactile output pattern configured based on a movement speed when the moveable indicator reaches the first end.

The invention discloses a video signal de-interlacing method and device and electronic equipment, and the method comprises the steps: S100, obtaining a directional correlation interpolation result P directional interpolation of a to-be-interpolated pixel point in a current field, and obtaining a median filtering result P median filtering of the to-be-interpolated pixel point in the current field; and S200, acquiring a motion coefficient M of a to-be-interpolated pixel point in the current field, and selecting an interpolation mode and an interpolation result of the to-be-interpolated pixel point in the current field according to an interval in which the motion coefficient M is located. According to the method, interpolation results of direction correlation interpolation and median filtering are calculated respectively, then motion detection is carried out, a motion area of a pixel point to be interpolated is divided, and then a proper interpolation algorithm is selected according to the divided area, namely, an optimal mode to be interpolated is selected through motion detection. Therefore, the final interpolation suitable for various motion scenes is obtained, and the interpolation mode and the interpolation effect during de-interlacing are greatly optimized.

The invention discloses a table tennis motion detection system based on pure visual perception. The table tennis motion detection system comprises a table tennis detection and event monitoring module, a human body-racket posture estimation module and a time sequence action recognition and quality evaluation module. The table tennis ball detection and event monitoring module is based on an improved DTTNet model and realizes table tennis ball track detection and event identification such as table touching, net touching and net passing through through multi-frame video stack and deformable convolution; the human body-racket posture estimation module adopts a lightweight detection network and high-resolution posture estimation network combined reasoning structure, outputs human body key point and racket three key point coordinates, and constructs a human body-racket combined kinematics model; the time sequence action recognition and quality evaluation module fuses multi-view video and posture features, classification and quality evaluation of table tennis technical actions are achieved through time sequence boundary matching and multi-scale feature analysis, the table tennis technical action recognition and quality evaluation system has the advantages of being high in detection precision and high in real-time performance, and automatic recognition and quantitative evaluation of table tennis movement can be achieved.

Technical solutions for diagnosing a sensor fault in an actuator incorporating a permanent magnet direct current (PMDC) motor are described, including: measuring, by means of a position sensor, the position of the PMDC motor; determining, based on the measured position, an estimated motor speed; measuring, by means of a current sensor, the current in the PMDC motor; determining, based on the measured current in the PMDC motor, a voltage command for the PMDC motor; determining, based on the measured current and the voltage command and using a motor speed observer, an observed speed of the PMDC motor; determining a differential speed as the difference between the estimated motor speed and the observed speed; determining, based on the differential speed, the sensor fault; and performing an action in response to the determination of the sensor fault.

The double-foot type steel structure wall-climbing obstacle-crossing robot comprises a self-stabilizing assembly, a first walking foot and a second walking foot, the self-stabilizing assembly comprises a rotating shaft and a workbench with an angular motion detection device, and the workbench comprises a working platform and connecting pieces located at the two ends of the working platform; the connecting pieces are connected with the rotating shaft and can rotate around the rotating shaft, the first walking foot and the second walking foot are separated from each other and are installed on the rotating shaft side by side, and the first walking foot and the second walking foot are both located between the connecting pieces at the two ends of the working platform. By means of the simple structure, stable climbing and obstacle crossing can be achieved on the surfaces of steel structures which are made of different materials and have different inclination angles, the effects of light weight and miniaturization are achieved, meanwhile, the stability of the working platform is guaranteed, multiple moving modes can be achieved when the working platform encounters obstacles or is free of obstacles, and the working efficiency of the working platform is improved.

The invention provides a micro-motion target motion detection method based on adaptive unscented Kalman filtering, and the method comprises the steps: receiving an echo signal reflected by a target, carrying out the preprocessing of the echo signal, carrying out the calculation according to the preprocessed echo signal, and obtaining a distance angle unit where the target is located; performing difference frequency processing according to the distance angle units of the two adjacent frames, and performing signal correction through phase unwrapping to obtain initial deformation data; and inputting the initial deformation data into a self-adaptive unscented Kalman filter, outputting to obtain target deformation data, and analyzing according to the target deformation data to obtain a micro-motion target. According to the invention, high-precision detection of tiny deformation can be realized, the detection precision and reliability are greatly improved, and accurate detection data can still be obtained in various complex environments.

A system for monitoring and responding to medical emergencies in high-humidity environments includes a processor, a memory storing computer-executable instructions, and a sensor array comprising motion detection, fall detection, and vital signs monitoring. The sensor array includes a steam-adaptive calibration configured to adjust detection thresholds based on vapor density and humidity levels. A privacy-preserving architecture processes non-identifiable inputs such as motion signatures, radar signals, or acoustic triggers without storing visual or audio recordings. When inactivity, collapse, or absence of respiration is detected for a predefined threshold period, the privacy-preserving architecture initiates a first notification to staff interface and response tools. If the first notification is not acknowledged within a predetermined escalation period, a secondary notification is transmitted. The system operates in real time to provide emergency alerts while preserving occupant privacy.

The invention relates to the field of downhill support deformation monitoring, in particular to a return air downhill support deformation monitoring method and system, which comprises a sensing acquisition module, a support movement detection module, a top plate displacement monitoring module, an interaction judgment module and the like. The sensing acquisition module is reasonably provided with various sensors on a top plate and a supporting device to acquire data such as displacement, stress, strain and inclination angle; the support movement detection module analyzes support movement data and divides risk grades according to a set triggering mechanism; the roof displacement monitoring module analyzes roof displacement and stress data and determines a potential risk state and a regional risk level; the interaction judgment module is used for triggering corresponding instruction processing according to a support and regional risk grade matching secret order; according to the method, multiple data are creatively integrated to calculate risk indexes, accurate risk assessment and intelligent processing are realized, the mine return air downhill support safety is effectively guaranteed, and the safety management efficiency is improved.

The invention discloses a multi-target tracking method and related equipment, and the method comprises the steps: carrying out the target detection of a current frame, outputting a corresponding target detection frame result, carrying out the state transition operation through a target motion dynamics model, and generating a motion prediction frame corresponding to each potential target object in the current frame; based on the confidence of a target detection frame contained in the detection frame information, according to the target detection frame and the motion detection frame, generating a corresponding cost matrix, the cost matrix being a generalized symmetric intersection-to-union ratio or a symmetric overlapping score; and inputting the cost matrix into a Hungary matching system, generating an identity label corresponding to the target detection frame, and carrying out association matching on the identity label and the current activation track. According to the embodiment of the invention, the multi-target tracking processing efficiency can be improved, and the robustness, precision and application value of a multi-target tracking system in a complex dynamic environment can be remarkably improved. The method can be widely applied to the technical field of computer vision tracking.

The invention discloses a wall detection device for architectural design, and relates to the technical field of wall detection, the wall detection device comprises a detection main frame body, a first motor and a second motor are symmetrically mounted on the upper surface of the bottom of the detection main frame body, and output shafts of the first motor and the second motor are fixedly connected with a lifting mechanism; the wall detection device for architectural design further comprises a pressure gauge and three contact wheels which are arranged in an arc shape to form an integral contact surface, the transverse moving mechanism is linked with the lifting mechanism to perform multi-area detection on the wall, and when the pressure adjusting mechanism performs movement detection in the vertical and horizontal directions, the pressure adjusting mechanism can adjust the pressure in the vertical and horizontal directions. The abutting wheels conduct abutting type elastic pressure self-adjustment on the radian of the wall and feed pressure elasticity back to the pressure gauge, the auxiliary deformation mechanism is matched with the radian through elastic deformation of the center and the abutting wheels on the two sides, and the comprehensive pressure of the abutting wheels on the wall is transmitted to the pressure gauge. The multi-dimensional cooperative detection optimization effect of a mechanical structure, pressure feedback and motion control is achieved.

A utility vehicle for moving a material comprising a frame including a first motion detection apparatus, a work tool movably coupled with an arm, where the arm is movably coupled with the frame, a second motion detection apparatus coupled with the work tool, a vibration apparatus coupled with the work tool, and a controller in communication with the motion detection apparatus and the vibration apparatus, wherein the controller includes a processor and a memory having a work tool vibration algorithm stored thereon, wherein the processor is operatable to execute the work tool vibration algorithm to receive motion data from the motion detection apparatus, analyze the motion data to determine if the motion data represents a movement of the motion detection apparatus that drops below a threshold movement level, actuate the vibration apparatus to vibrate the work tool.

The invention discloses a VVC adaptive video coding method and system based on a region of interest, and belongs to the technical field of video coding. According to the technical scheme, the method comprises the following steps: S1, carrying out mixed region-of-interest detection on an input video frame; s2, generating a quantization parameter mapping table according to the ROI mask, and executing three-level QP distribution; s3, the QP mapping table is input into an encoder for block-level quantization control, meanwhile, a visual interface is generated to display an ROI detection result and QP space distribution in real time, and the interface supports adjustment of a significance threshold value and motion detection sensitivity through a sliding block; the system comprises a video input processing module, an ROI detection module, a QP mapping generation module, a coding control module and a visual interface module. The method has the beneficial effects that the dynamic QP mapping table is generated through motion-saliency mixed detection, and the coding efficiency is improved while the subjective quality is ensured in combination with a visual debugging interface.