809 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.

A video shooting method includes: enabling a camera application on a terminal and in a slow-motion video recording mode of the camera application, when a motion detection function of the camera application is enabled, starting to capture video frames after a video recording instruction input by a user is detected, recording a second video frame set at a first frame rate automatically when a motion of a human body in a captured first video frame set is a preset motion, and generating a target video, wherein the target video includes a slow-motion video clip, and wherein the slow-motion video clip includes video frames in the second video frame set.

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.

The invention belongs to the technical field of roadway surrounding rock monitoring, and particularly relates to a fiber bragg grating roof separation monitoring device and method.The device comprises an anchor fluke, a shell, a rope, a sleeve, a protection box and a fiber bragg grating and further comprises a movement detection mechanism; the mobile detection mechanism comprises a winding drum, a lead screw, a base, a first magnet, a concave block, a sliding block, a fixing plate, an elastic frame, rotating teeth and a compression spring. The fiber bragg grating roof separation monitoring device solves the problem that in the monitoring process of an existing fiber bragg grating monitoring device, due to fatigue stress, loosening and falling of bonding points and damage of sensitive elements, the monitoring precision is reduced, redundant configuration of signals during monitoring is achieved, and the precision and reliability of the fiber bragg grating roof separation monitoring device are greatly improved.

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.

The invention provides an elevator personnel existence detection method and system based on a millimeter wave radar, and relates to the technical field of detection, and the method comprises the steps: orthogonally arranging a positioning radar and a motion detection radar at the top of an elevator car, collecting radar echo signals, and carrying out baseband demodulation; a positioning baseband signal and a motion detection baseband signal are processed through a dynamic threshold elimination method and a self-adaptive harmonic suppression algorithm respectively, and compensation enhancement is carried out in combination with a geometric structure of the lift car; performing fast Fourier transform on the enhanced signal in the dimensions of distance, speed and height, acquiring three-dimensional coordinate data of a target by adopting an adaptive spatial spectrum decomposition positioning algorithm, and performing non-uniform sampling Doppler processing to obtain target motion track data; a recursive state estimation model is adopted for time sequence tracking, human body height judgment is achieved, and the method is used for safety monitoring in the lift car, and early warning for children and pets entering the lift car independently and early warning for long-time staying in the lift car.

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.

Examples of such autonomous navigation, movement detection, and / or control include, but are not limited to, autonomous navigation of one or more portions of a continuum robot towards a particular target, movement detection of the continuum robot, Follow-The-Leader smoothing, and / or state change(s) for a continuum robot. Examples of applications include imaging, evaluating, and diagnosing biological objects, such as, but not limited to, for gastro-intestinal, cardio, bronchial, and / or ophthalmic applications, and being obtained via one or more optical instruments, such as, but not limited to, optical probes, catheters, endoscopes, and bronchoscopes. Techniques provided herein also improve processing and imaging efficiency while achieving images that are more precise, and also achieve devices, systems, methods, and storage mediums that reduce mental and physical burden and improve ease of use.

The present invention relates to a facial recognition authentication system including path parameters. The system and method for registering and authenticating a user in an authentication system via a computing device of the user with a camera include: capturing and storing registration biometric information from at least one first image of the user taken via the camera of the computing device; capturing authentication biometric information from at least one second image of the user; capturing path parameters indicating authentication movement of the mobile device via at least one movement detection sensor during imaging of the at least one second image; comparing the authentication biometric information with the stored registration biometric information; and comparing the authentication movement of the mobile device with an expected movement of the mobile device to determine whether the authentication movement sufficiently corresponds to the expected movement.

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.

A microwave motion detection system and lighting applications are disclosed. Time slicing and Pulse Width Modulation (PWM) techniques are used to improve efficiency in microwave motion detection sensors. Systems employing motion detection may control the detection of irrelevant motion with shielding and changing the power of the microwave motion detection sensor. Distance-based zones may be designated, and motion may be detected in particular zones. Different device operation may be performed based on motion detection in different zones. In lighting applications, varying device operation may include varying the direction, amount, or duration of light output. Device operation, when motion is detected, may also be based on the time of day, user preference, and power status parameters.

Systems and techniques are described for motion detection. In various examples, a camera device may initiate execution of a non-computer vision-based motion detection process. In some examples, the camera device may initiate execution of a computer vision-based classification process during the execution of the non-computer vision-based motion detection process. In various examples, first result data may be determined by the non-computer vision-based motion detection process. In various examples, the execution of the computer vision-based classification process may be terminated based at least in part on the first result data.

A remote operation apparatus is configured to operate in response to a control signal transmitted via a network from a user apparatus connected to a display unit and includes a movable unit capable of changing a posture. The remote operation apparatus includes: a video data acquisition unit configured to acquire video data acquired from a camera disposed in the movable unit; a motion detection data acquisition unit configured to acquire, through a motion sensor, motion detection data representing a change in the posture of the movable unit; and a data transmission unit configured to transmit the acquired video data and the acquired motion detection data to the user apparatus via the network.

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.

An in-vehicle electronic control unit includes: a positioning calculation unit that acquires GNSS information and acquires positioning information of an own vehicle; a vehicle movement detection unit that detects movement of the own vehicle; and an own vehicle movement determination unit that estimates movement while a vehicle system is stopped, in which the own vehicle movement determination unit determines whether the own vehicle has moved while the vehicle system is stopped, and based on a determination result as to whether the own vehicle has moved, determines whether the positioning calculation unit estimates a current position of the own vehicle by using a position of the own vehicle when the vehicle system is stopped.

The invention relates to a vehicle control method and device, a storage medium, a controller and a vehicle, and the method comprises the steps: obtaining voice information in the vehicle, carrying out the semantic recognition processing of the voice information, determining an initial semantic instruction, carrying out the lip movement detection of a target user in the vehicle, and carrying out the lip movement detection. Obtaining a first detection result used for judging the validity of the initial semantic instruction, under the condition that the first detection result judges that the initial semantic instruction is valid, performing sight line detection on the target user to obtain a second detection result, and correcting the initial semantic instruction based on the second detection result to obtain a target semantic instruction; and finally executing the target semantic instruction to control the vehicle. Therefore, the voice control accuracy of the vehicle can be 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.

The utility model relates to the field of robots, in particular to self-moving working equipment which comprises a main body, a universal wheel assembly and a motion detection assembly. The universal wheel assembly is arranged at the bottom of the main body and comprises a universal wheel and a rotating shaft connected with the universal wheel; the motion detection assembly comprises a detection circuit board, a detected element and a plurality of detection elements, the detection circuit board is arranged in the main body, the plurality of detection elements are arranged on the detection circuit board and electrically connected with the detection circuit board, and the detected element is arranged in the universal wheel to move along with the universal wheel; wherein the plurality of detection elements are respectively located in different advancing directions of the self-moving working equipment, and the detection circuit board can detect the motion state and / or the advancing direction of the universal wheel according to detection signals of the plurality of detection elements. The self-moving working equipment can determine whether the self-moving working equipment encounters the obstacle or not according to the result that the motion detection assembly detects the motion state of the universal wheel, so that the ability of automatically monitoring the obstacle encountering is improved.

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 differential assembly detection line, comprising a part loading station (OP10), a manual assembly station (OP20), an axial movement detection station (OP30), a dragging torque detection station (OP40), an angular gap detection station (OP50), a cotter pin press-fitting station (OP60), a flange surface marking station (OP70), a circumferential surface marking station (OP80), a cotter pin detection NG unloading station (OP90), and an OK part unloading station (OP100), so that the axial movement, dragging torque, and angular gap of a differential can be automatically detected when the differential is assembled.

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.