54 results about "Video sensors" patented technology

The invention discloses a method for continuously improving the potential safety hazard identification capability of third-party construction, and belongs to the technical field of safety monitoring and artificial intelligence. The method comprises the following steps: acquiring multi-dimensional dynamic data such as a video and a sensor of a construction site, performing real-time hidden danger identification based on the data to determine a current hidden danger state, predicting a future risk upgrading probability through a risk evolution prediction model, and then fusing the current hidden danger state with the future risk upgrading probability to obtain a risk upgrading result. According to the method, the problems of alarm lag and low accuracy in the prior art are solved, the conversion from passive response to active early warning is realized by introducing risk evolution prediction and a dynamic alarm decision mechanism, and the risk evolution prediction and dynamic alarm decision mechanism is improved. And the system is endowed with a self-evolution capability through a data closed loop, so that the accuracy, the foresight and the intelligent level of safety management and control are remarkably improved.

The invention discloses a video-radar-radio frequency multi-source data fusion analysis system based on multi-modal perception and deep learning. A video stream preprocessing module adopts ACNN of an attention mechanism to carry out key frame extraction on a video stream and realize target detection and classification; the radar signal processing module completes radar echo signal feature learning and target trajectory prediction through fusion of VAE and LSTM; the radio frequency signal analysis module constructs an RFID tag association model based on GNN to extract identity information. The data quality of a video sensor, a radar sensor and a radio frequency sensor is dynamically evaluated through an AFM, the multi-source feature weight is autonomously adjusted to achieve high-robustness fusion, and space-time matching of a target track-identity is completed in combination with three Gaussian hybrid clustering and a double-dynamic mapping algorithm. According to the method, the problem of target mismatching caused by insufficient cross-modal feature interaction is effectively solved, the target recognition precision and identity binding continuity in a complex scene are improved, and the tracking stability is kept when the sensor data is dynamically degraded.

A smart home monitoring device is configured to plug into an electrical outlet and includes a multi-sensor array, excluding audio and video sensors, for monitoring environmental conditions, behavioral patterns, and odor-related indicators within a monitored environment. The device includes Bluetooth Low Energy communication with angle-of-arrival capability to enable sub-meter asset tracking, and supports home automation control through programmable automation frameworks such as IFTTT or Node-RED to initiate safety responses. The system further provides multi-tiered burglar detection through correlated event analysis across multiple sensor inputs, and generates health-related risk indicators based on detected patterns. Visual indicators, including multi-color LED illumination and blinking patterns, are used to communicate alert types and severity levels. The system enables non-intrusive monitoring while supporting proactive safety, security, and health management.

The invention discloses a phased array, TOFD and magnetic powder integrated detection system and method for medium and large diameter pipeline welded joints, the detection system comprises a control system, a liquid storage and supply system and a scanning system, the control system is connected with the liquid storage and supply system, the control system is connected with the scanning system, and the scanning system is connected with the control system. The liquid storage and supply system is connected with the scanning system through a flexible water pipeline and a flexible magnetic suspension pipeline; the liquid storage and supply system comprises a magnetic suspension tank and a water tank which are respectively used for storing magnetic suspension and water; the scanning system is a data acquisition center, is provided with a phased array probe, a TOFD probe, an electromagnetic yoke and a video sensor in a centralized mode, operates in a sub-control mode, is driven by a magnetic attraction wheel driving mechanism to achieve automatic scanning of a welding joint, and transmits detection data information to the control system. The device is compact in structure, convenient for later maintenance and low in manufacturing cost; according to the invention, the parameter control is accurate, the detection data can be analyzed in real time, the data interpretation is convenient, the detection precision is high, the detection speed is fast, and safety and reliability are realized.

An inside cabin sensor system, having an integrated, single hardware part comprising a camera sub-system and an integrated radar sub-system is proposed. A proposed system provides related information for covering the following applications inside a vehicle: Child Presence Detection (CPD), Driver Drowsiness & Fatigue (F), Driver Distraction (DD) as a safety-relevant function, complemented by Intrusion & Proximity Alert (IPA), Seat Occupancy Detection (SOD), Face Recognition (FR), and optional applications such as Driver Emotion (ES), Passenger Classification (PC), Airbag Suppression (AS), Airbag Activation (AA), Mobile Phone Detection (MP), Gesture Detection (GD) and Vital Signs Detection (VS). A proposed system utilizes Artificial Intelligence (AI)-related data processing for data processing, using radar point cloud data, calculated by said radar sensors. The proposed system utilizes Artificial Intelligence (AI)-related data processing for data processing, using video-captured data. The proposed system utilizes Artificial Intelligence (AI) -related data processing for sensor data fusion, using radar sensor and video sensor data.

The invention discloses a station building safety risk online assessment system based on an edge AI large model, which relates to the technical field of station building safety systems and comprises a data acquisition module, a large model reasoning module, an edge calculation module, a cloud collaboration module, a risk assessment module and a user interaction module. The multi-modal fusion module can perform fusion analysis on multi-modal data such as videos, sensors, texts and the like to form comprehensive risk assessment, the multi-modal fusion module adopts dynamic weighting, utilizes an attention mechanism and dynamically distributes weights according to the importance of modals, and through the design, the working personnel can perform multi-modal risk assessment according to the current time period, the working state or external factors. In addition, the multi-modal fusion module supports adaptive sampling and dynamic updating in the use process, and the data sampling frequency of the data acquisition module is dynamically adjusted according to the risk level, so that the flexibility of the system is further improved.

Systems and methods for utility infrastructure condition monitoring, detection, and response are disclosed. One exemplary system includes a sensor package and a monitoring and control module. The sensor package includes a plurality of sensors such as, for example, an image sensor, a video sensor, and a LiDAR sensor. The sensors may each be configured to capture data indicative of one or more conditions (e.g., an environmental condition, a structural condition, etc.) in the vicinity of the utility infrastructure. The monitoring and control includes a detection module and an alert module. The detection module is configured to receive data captured by each sensor and, based on the captured data, determine one or more conditions in the vicinity of the utility infrastructure. The detection module may be configured to then, based on the determined conditions, provide an alert for the condition using the alert module.

Source: FR2832733 A1 Video sensors are used for controlling melting of aluminum in a furnace by producing images of the bath surface or the inner surface of the furnace walls. Melting of aluminum in a furnace comprises: (a) introducing solid aluminum into the furnace; (b) melting the aluminum to form a molten bath; (c) production of images of the bath surface or of the inner surface of the furnace (2) walls; (d) treating these images to identify the presence of solids or the formation of oxides on the bath surface or for identifying the presence of hot spots or hot zones or zones having a certain minimal temperature on the fumace walls; and (e) modifying at least one fumace operating condition as a function of this treatment of the images. Independent claims are also included for the following: (a) a device for detecting the surface state of a bath of aluminum or the state of the furnace walls in an aluminum melting furnace; and (b) an aluminum melting furnace incorporating this detection device.

The invention relates to a device and a method for detecting the pressure-bearing strength of a brazed plate heat exchanger, and relates to the technical field of detection of the pressure-bearing strength of the brazed plate heat exchanger. The device comprises a supporting frame, a protection frame movably arranged on the supporting frame, a video sensor fixed in the protection frame, a clamping piece used for clamping the heat exchanger, an inflation assembly used for inflating four air inlet pipes on the heat exchanger and a paint spraying assembly used for conducting paint spraying treatment on the outer side of the heat exchanger. The inflation assembly comprises three inflation pipes fixed to the protection frame, four rotating discs rotationally arranged in the protection frame, three sealing pipes fixed to the four rotating discs correspondingly, an inflation piece used for inflating the sealing pipes, and a switching piece used for switching and opening the three inflation pipes. And the rotating piece is used for synchronously rotating the four rotating discs. The detection gas, the sealing pipe and the paint spraying amount can be rapidly switched according to different types of heat exchangers, and the operation complexity is reduced.

Disclosed are systems and methods for determining target characteristics during a laser procedure, comprising (i) obtaining a relationship between (i) a number of pixels associated with a light beam reflected from a target or an object located in proximity to the target on an endoscopic image obtained from a video sensor coupled to an endoscope and (ii) a distance of the target from a tip of the endoscope. The method further comprising (ii) measuring the number of pixels associated with the light beam reflected from the target or the object located in proximity to the target during a procedure, and (iii) based at least in part on the relationship obtained in step (i) and the measured number of pixels in step (ii), determining at least one of a size of the target or a distance of the target from the tip of the endoscope.

Operation of a solid fuel burning device can be monitored using a video sensor located remote from the solid fuel burning device and at least another sensor. The video sensor can record video data that monitors actions and behavior related to the solid fuel burning device. The other can record at least temperature data related to the solid fuel burning device. A controller can: detect an occurrence related to an object in at least the video data; create an identified occurrence; determine a context of the identified occurrence based on a stage of a fire cycle of the solid fuel burning device; and characterize the identified occurrence in the context as satisfactory or sub-optimal, such that: when the identified occurrence in the context is satisfactory, continue normal operation; and when the identified occurrence in the context is sub-optimal, send a message to a user of the solid fuel burning device.

The invention provides a self-adaptive remote communication system of a long-distance heat supply network inspection robot, which comprises a multi-mode communication module, a pipeline special antenna, an intelligent relay unit and a self-adaptive control module, and is characterized in that the multi-mode communication module is connected with a main controller of the inspection robot; the special pipeline antenna is connected with the multi-mode communication module; the special pipeline antenna is externally connected with a monitoring center through the intelligent relay unit; the self-adaptive control module is connected with the multi-mode communication module and is used for acquiring the signal strength of each communication system and executing a communication system strategy; according to the invention, high-speed and stable transmission of data is realized, real-time return of key information such as inspection videos, sensor data and the like and timely issuing of instructions are guaranteed, and the overall inspection efficiency and the system response speed are improved.

The invention discloses an automatic calibration method for thunder-vision fusion data, and relates to the field of intelligent traffic and automatic driving, and the method comprises the steps: obtaining radar data containing a plurality of moving targets and video data corresponding to the radar data, respectively extracting the trajectory data of the plurality of moving targets, and obtaining a radar trajectory set and a video trajectory set; track feature points are extracted based on the radar track set and the video track set, and a radar inflection point set and a video inflection point set are obtained; matching the radar inflection point set with the video inflection point set to obtain an association point pair set; and determining a coordinate conversion relation and a time relation between the radar data and the video data according to the association point pair set, and completing automatic calibration of the thunder-vision fusion data. According to the method, full-automatic space-time calibration of the millimeter wave radar and the video sensor can be realized, manual field operation and road closing are not needed, the calibration precision is improved through track feature matching, and long-term adaptive optimization is supported to maintain the fusion precision.

The invention provides a ship collision early warning method and device and a storage medium, and belongs to the technical field of ship early warning, and the method comprises the steps: importing the dynamic information of a moving target around a ship, obtaining an original ship environment image from a multi-channel video sensor disposed on the periphery of the ship, and obtaining original distance data from a laser radar; performing fusion analysis on each original ship environment image and each original distance data to obtain a target panoramic video and preprocessed distance data; and performing collision analysis on the target panoramic video, the preprocessed distance data and the dynamic information to obtain collision data. According to the invention, the perception, detection and collision avoidance early warning capabilities of the periphery of the ship are greatly improved, full-view coverage is realized, the problem of existence of a monitoring blind area is solved, meanwhile, fusion of multi-source data is realized, the target identification precision is improved, the probability of misjudgment and missing judgment is reduced, and the intelligence of collision early warning is realized.

The invention relates to light-weight cabin shell casting equipment and a casting process, and relates to the technical field of casting equipment. The device comprises a casting tank, a defoaming tank fixed to the casting tank, a casting pipe arranged on the casting tank, a video sensor used for detecting the model of a mold, a distance sensor used for detecting the amount of molten metal in the casting tank, a heat preservation assembly used for conducting heat preservation on the molten metal in the casting tank and a casting assembly used for conducting quantitative casting on the molten metal. The casting assembly comprises three liquid outlet pipes communicating with the casting tank, three agent outlet pipes communicating with the defoaming tank, liquid outlet plates movably arranged on the three liquid outlet pipes correspondingly, and control valves fixed to the three agent outlet pipes correspondingly. The casting tank has the advantages that the molten metal is defoamed and optimized, the discharging speed of the molten metal and the defoaming agent can be controlled according to the model of the mold, the liquid discharging speed of the molten metal and the defoaming agent is prevented from being affected by the static pressure head as much as possible, and the casting effect of the casting tank on multiple molds of different models is guaranteed.

The application discloses a vehicle holographic perception and risk behavior identification system based on deep fusion of laser vision multi-source data, which comprises a laser vision fusion vehicle information perception layer integrated with a roadside laser radar, a video sensor and a high-definition snapshot camera; an edge computing layer of vehicle holographic identification and risk behavior identification based on an edge computing server; a cloud center processing server layer based on intelligent gantry cooperation and fusion operation; and an application software layer integrated with vehicle holographic perception, high-precision vehicle trajectory tracking, vehicle risk identification and statistical analysis. The application has the advantages that laser radar information and video image information can be fused, vehicle risk behavior identification in a complex road scene can be realized, corresponding vehicle holographic perception data can be obtained according to the risk behavior identification result, risk behavior area statistical analysis and risk vehicle tracking can be realized, and the road safety monitoring system can be provided with high-precision and high-reliability vehicle information perception and risk behavior identification functions.

The application discloses a kind of dynamic video remote monitoring management methods, it is related to image processing technical field, including: establishing monitoring edge device history transmission database, the historical resource utilization state of each monitoring edge device is analyzed, the resource demand of each edge device is predicted;Determine the maximum carrying capacity of the resource of each edge device, the resource load state of each edge device is calculated;Based on the resource demand of each edge device, the resource load state of each edge device and the video stream of historical transmission data, initialize the video transmission code rate of each edge device;Real-time transmission data of each video sensor is obtained, according to the resource demand and resource load state of each edge device, calculate video stream processing cost index;Based on video transmission code rate and video stream processing cost index, update the video transmission code rate of each edge device;The application has the advantages that: optimize video transmission quality, improve system monitoring overall performance.

Nonintrusive approaches for vital signs detection and tracking represent appealing methods for improving wellness in broad population ranges and detecting / monitoring health conditions among medical patients. Both industry and academia have shown significant interest in providing reliable contactless reading of vital signs using common video sensors and light modulation properties coming from blood circulation in human skin. Existing approaches propose solutions that can extract the heart rate signal from human faces; they also address the noise challenges from the environment with partial success. We aim to provide accurate heart rate readings from human subjects and human face in situations where temporary in-band noise from subject head motion and lightness changes may occur. Our contribution creates multiple reading channels and brings forth a detection—and tracking method that can efficiently cope with the noise, providing reliable heart-rate readings in stressful conditions. In addition, the method we propose does not rely on sophisticated AI blocks and is, thus, applicable for implementation on embedded and mobile devices with limited processing resources. We demonstrate the claim by implementing and running our method on several embedded and mobile platforms.

The application discloses a pedestrian target detection method based on radar video infrared decision-level fusion, and relates to the technical field of automatic driving perception. The application aims to solve the problem that the existing pedestrian detection method uses a single mode of video sensor to perform a pedestrian target detection task under poor light conditions, and the intelligent driving vehicle has more false detection and missed detection conditions for pedestrian detection, so that the intelligent driving vehicle depending on ADAS cannot timely avoid pedestrians and makes an incorrect driving strategy and even a collision occurs. The process is as follows: a pedestrian detection platform is built; laser radar, visible light cameras and infrared cameras are time and space aligned; pedestrian targets in laser radar point clouds, pedestrian targets in visible light images and pedestrian targets in infrared images are detected; target detection results are fused based on a decision-level fusion algorithm to obtain final pedestrian target detection results.

The invention relates to a railway slope monitoring method and system based on sensor fusion and a target body. The method comprises the following steps: arranging a fusion monitoring target body and acquiring a space coordinate and a visual identifier of the fusion monitoring target body; establishing a multi-sensor mapping relation among radar image element coordinates, video holder parameters and a target body; target displacement and reflection intensity are monitored in real time through a radar, and video checking is triggered when a threshold value is exceeded; the camera periodically patrols the target body, and triggers radar accurate measurement when identification changes; deciding and alarming based on the bidirectional verification result. The system comprises a radar, a video sensor, an edge computing terminal and an early warning platform. The target body is composed of a support, a horizontal / pitch angle adjustable support, a radar corner reflector and a chessboard visual board. Through radar and video data fusion and a two-way triggering mechanism, the environment interference false alarm is reduced, the monitoring precision and reliability are improved, and the method is suitable for complex railway slope scenes.

The invention relates to aircraft skin appearance detection equipment and a skin appearance detection method, and relates to the technical field of aircraft skin appearance detection.The aircraft skin appearance detection equipment comprises a detection frame, a detection assembly used for detecting the appearance of a skin part and an adjusting assembly used for adjusting the position of the skin part; the detection assembly comprises an adjusting frame movably arranged on the detection frame, a video sensor fixed to the adjusting frame, a detection rod movably arranged on the adjusting frame, a first marking pen, a second marking pen, a light filtering piece used for filtering light of the video sensor, and a buffering piece used for conducting buffering driving on the detection rod. The swinging part is used for swinging the first marking pen; and the moving part is used for moving the second marking pen. The video sensor carries out video detection on the skin part, meanwhile, the detection rod carries out physical detection on the skin part, different marking pens can be adopted to carry out circle drawing and marking on the protruding position and the pit position of the skin part, and the accuracy of video detection and physical detection of the skin part is guaranteed.

A system and method for identifying risk in warehouse environments includes video sensors configured to capture video streams and a central processing unit communicatively coupled to video sensors. The central processing unit is configured with an emerging risk discovery unit configured to detect a current risk subject in the obtained plurality of real time video frames. Further, the plurality of real time video frames are stored in a memory. A location of the current risk subject detected in the obtained plurality of real time video frames is detected. Further, physical characteristics of current risk subject for predicting one or more actions performed by the current risk subject are estimated, and actions and location of the current risk subject are processed to detect patterns or movements and activities undertaken by one or more risk subjects.

This application relates to time sensitive multimedia endpoint interface bridging over Ethernet transport. An Ethernet bridge architecture enables timing replication. The Ethernet bridge receives data packets from a sensor (e.g., a video sensor) and immediately marks each data packet with a transmitter time code. The marked data packets are then forwarded over a digital data network or link that can exhibit packet delivery time variations and reordering to the appropriate receiver. The receiver identifies the data packets that include a local time code and delays processing (display) of the data packets until the time code local to the receiving node matches the transmitter time code plus a certain delay. The receiver also restores the original order of the packets by observing packet sequence numbers and placing them in the appropriate place in a memory buffer. By delaying processing, the Ethernet bridge compensates for any variations in network latency.

The invention discloses a robot-on-duty full-intelligent electric vehicle battery swap station. Comprising a cellular distributed robot power supply system warehouse, an XY two-axis conveying system, an alternating current and direct current conversion and charging system, a robot power supply system, an AI control system, a UPS power storage system, a fire pool system, a millimeter wave sensor system, a laser video sensor system, a distance measuring sensor system, a positioning sensor system, an external display screen and a voice broadcast system. The invention belongs to the technical field of peak-clipping and valley-leveling intelligent micro power station power grids, and particularly relates to a robot-on-duty full-intelligent electric vehicle battery swap station, which utilizes a service station integrating power storage, charging and battery swap, uses a robot power supply system, stores power through the trough of a power grid, swaps and supplies power to electric vehicles, and realizes intelligent, automatic and quick replacement and automatic charging. Various data are reported to related management units and personnel in real time, remote real-time online management is achieved, and full-life-cycle management of the battery and collection and management of big data are achieved.

The application relates to the technical field of vehicle-mounted rearview mirrors, in particular to a vehicle-mounted electronic rearview mirror circuit and a vehicle-mounted electronic rearview mirror. The vehicle-mounted electronic rearview mirror circuit comprises a video acquisition module, the video acquisition module comprises video sensors arranged at multiple visual angles of a target vehicle; the output end of the video acquisition module is connected with the input end of a video conversion module, the output end of the video conversion module is connected with the signal input end of a main control module; the first driving end of the main control module is connected with the backlight input end of a driving module, the second driving end of the main control module is connected with the display input end of the driving module; the backlight driving end of the driving module is connected with the first input end of a display module, the display driving end of the driving module is connected with the second input end of the display module, and the display module comprises a plurality of display screens. The application can provide comprehensive surrounding vision for a driver, thereby eliminating the problem of frequent conversion of the driver's vision, reducing the risk of distraction, and improving the convenience and safety performance of driving.

This invention relates to the field of blast furnace ironmaking technology and discloses a blast furnace tuyere combustion temperature monitoring device to solve the problem of discrepancies between existing theoretical combustion temperature calculations and actual values. The device includes a tuyere combustion temperature monitoring probe and an industrial control computer. The probe incorporates a coaxial optical video sensor and a temperature sensor, and uses a beam splitter to divide the reflected light from the target into two paths: one path is used for sensor measurement, and the other path passes through a reflector and enters the eyepiece. The probe's front end is equipped with a quick-connect sleeve to fix it to the tuyere viewing hole. This invention achieves "what you see is what you measure" through eyepiece and beam splitting adjustment, effectively avoiding interference from the spray gun and unburned particles. Combined with dual infrared colorimetric temperature measurement technology, it achieves accurate, real-time online monitoring of the actual combustion temperature at the tuyere, providing reliable data support for refined blast furnace operation and the injection of new materials such as hydrogen-rich gas.

To provide a system and method for determining target characteristics during laser treatment. [Solution] The method includes the step of (i) obtaining a relationship between (i) the number of pixels related to a light beam reflected from a target or an object located in close proximity to the target on an endoscopic image acquired from a video sensor coupled to the endoscope, and (ii) the distance from the tip of the endoscope to the target. The method further includes the step of (ii) measuring the number of pixels related to the light beam reflected from the target or the object located in close proximity to the target during the procedure, and (iii) determining at least one of the size of the target or the distance from the tip of the endoscope to the target, at least in part based on the relationship acquired in step (i) and the number of pixels measured in step (ii).

The present application relates to a kind of railway slope monitoring method, system and target based on sensor fusion.The method comprises: layout fusion monitoring target and obtain its spatial coordinates and visual identification;Establish radar image element coordinates, video holder parameter and the multi-sensor mapping relationship of target;Through radar real-time monitoring target displacement and reflection intensity, trigger video check when threshold value is exceeded;Camera periodically visits target, and triggers radar precision measurement when identifying change;Decision alarm based on two-way verification result.The system contains radar, video sensor, edge computing terminal and early warning platform.The target is composed of support, horizontal / tilt angle adjustable support, radar corner reflector and chessboard visual board.The present application reduces environmental interference false alarm, improves monitoring accuracy and reliability through radar and video data fusion and two-way triggering mechanism, and is suitable for complex railway slope scene.

The utility model discloses a kind of desert steppe precision grazing control devices in the technical field of grazing control equipment, the device includes central processing unit and multiple monitoring components and sound driving component connected with central processing unit, monitoring component includes the video sensor for collecting livestock image information and the spectrum sensor for collecting pasture spectrum information, sound driving component includes sound and sound sensor and sound insulation mechanism.The utility model plays the sound for driving away livestock by central processing unit opening sound when livestock enters low vegetation coverage area, avoid livestock overeating pasture, shield sound regularly by sound sensor and sound insulation mechanism, avoid livestock long-term stress, after livestock is transferred to other grassland area, the pasture of previously eaten area can recuperate, sustainable development grassland ecological environment, so that ranch manager can reasonably and orderly carry out grazing activity.

The invention relates to a device for detecting stress distribution of a connecting point of a high polymer material skin part of an unmanned aerial vehicle, and relates to the technical field of stress detection devices. The stress display paint spraying device comprises a detection frame, a clamping piece used for clamping and fixing a skin piece and an unmanned aerial vehicle frame, a paint spraying head used for spraying stress display paint to a plurality of connecting points of the skin piece, a drying machine and a cleaning head used for drying and cleaning the stress display paint, and a detection device used for impacting and bolting the plurality of connecting points of the skin piece. The impact assembly is used for shooting and distance measurement; the adjusting part is used for circumferentially adjusting the video sensor; the impact assembly comprises a limiting frame movably arranged on the detection frame and an impact head movably arranged on the limiting frame. According to the application, the dynamic stress response of the connection point of the skin piece under the impact load can be synchronously evaluated, the impact strength of the skin piece can be directly detected, and the stress evolution process of the connection point under the combined load working condition can be truly simulated.