4006results about "Visible signalling systems" patented technology

The invention discloses an end-cloud cooperative detection method and system for traffic anomalies, and relates to the technical field of intelligent traffic control. The method comprises the following steps: collecting traffic video streams through edge equipment, and identifying abnormal behaviors and generating structured event data by using a lightweight YOLOv3-tiny model; when the confidence exceeds a dynamic threshold and the event type is a high-risk type, uploading a video clip and data to a cloud; the cloud integrates a historical road condition map, meteorological data and a real-time traffic flow state, reconstructs a three-dimensional event scene by adopting a space-time attention pyramid network, and verifies the authenticity of an event in combination with a traffic flow sudden change detection algorithm; and generating a signal lamp forced switching instruction for the risk level overrun event, and issuing the signal lamp forced switching instruction to roadside equipment within 3 seconds to execute emergency response. According to the invention, full-link closed-loop control of traffic accidents from identification to response is realized, and the false alarm probability is greatly reduced while the identification accuracy is guaranteed.

Systems, methods, and apparatus for detecting UAVs in an RF environment are disclosed. An apparatus is constructed and configured for network communication with at least one camera. The at least one camera captures images of the RF environment and transmits video data to the apparatus. The apparatus receives RF data and generates FFT data based on the RF data, identifies at least one signal based on a first derivative and a second derivative of the FFT data, measures a direction from which the at least one signal is transmitted, analyzes the video data. The apparatus then identifies at least one UAV to which the at least one signal is related based on the analyzed video data, the RF data, and the direction from which the at least one signal is transmitted, and controls the at least one camera based on the analyzed video data.

Systems, methods, and apparatus for detecting UAVs in an RF environment are disclosed. An apparatus is constructed and configured for network communication with at least one camera. The at least one camera captures images of the RF environment and transmits video data to the apparatus. The apparatus receives RF data and generates FFT data based on the RF data, identifies at least one signal based on a first derivative and a second derivative of the FFT data, measures a direction from which the at least one signal is transmitted, analyzes the video data. The apparatus then identifies at least one UAV to which the at least one signal is related based on the analyzed video data, the RF data, and the direction from which the at least one signal is transmitted, and controls the at least one camera based on the analyzed video data.

The invention relates to the technical field of intelligent traffic, in particular to an intelligent road cone traffic early warning system. The problems that in the prior art, an intelligent road cone is single in function, and warning strategies cannot be intelligently adjusted according to real-time road conditions and construction environment changes are solved. The intelligent road cone is arranged and used for being deployed on a road construction or accident site to warn vehicles, collecting road environment information through a sensor and conducting risk assessment and early warning on the vehicles according to the detected vehicle information; the control center is used for integrating the monitoring information of the intelligent road cones and dynamically adjusting a placement scheme and an early warning strategy of the intelligent road cones; and the user terminal is used for receiving the early warning information from the intelligent road cone and the control center and sending an alarm to a user. Through cooperation of the intelligent road cone, the control center and the user terminal, effective safety early warning and guidance are ensured to be performed on vehicles passing through the construction area during construction, accident risks are reduced, and traffic management efficiency is improved.

A fire suppression system includes an interface control module, and an interface module. The interface control module can activate a fire suppressant discharge system in response to receiving a fire detection signal. The interface module is connected with the interface control module and is connected with at least one of a first optical sensor and an interface expansion module. The interface expansion module is configured to connect with a second optical sensor. The first optical sensor and the second optical sensor are configured to detect a fire condition at an area of interest and provide the first detection signal to the interface control module in response to detecting the fire. The interface module includes light emitting devices corresponding to the first optical sensor and the interface expansion module, the light emitting devices configured to display different colors indicating a status of the first optical sensor and the interface expansion module.

The invention relates to a road section risk early warning method based on thunder-vision fusion perception, and the method comprises the following steps: S1, obtaining the high-precision space-time position information of a vehicle in a tunnel through the multi-source information fusion of a millimeter-wave radar and machine vision; s2, mapping the vehicle position under the global coordinate system to a coordinate system expanded along a road center line, and representing the vehicle position as a longitudinal projection position and a transverse offset along the road direction; s3, under the coordinate system, taking anti-collision time as a core index, combining lane judgment and relative speed, constructing a dynamic longitudinal risk grading model, and performing linkage triggering with a warning system; s4, constructing a regional risk integral model; and S5, speed limiting information is issued to all driving-in vehicles in real time through the variable speed limiting screen, and the rear-end collision risk is actively prevented and controlled. According to the method, the sudden risk response time can be shortened, the speed limit control response precision can be improved, the rear-end collision rate of the diversion and convergence areas can be reduced, false alarm interference can be reduced, and the tunnel driving safety and the information guiding efficiency can be improved.

A smart lighting device, and a system including one or more smart lighting devices, that are well-suited for use in at-home setting. The devices may be configured as night lights, and can provide continuous monitoring of a person in the at-home setting and provide alerts to the person of potential fall risk areas in the home. Further, the devices may provide alerts to others (other designated persons / organizations), e.g., in the event of a fall or fall risk. Further, the devices may recognize unknown persons in the home, and provide alerts to others. The system may be configured to route these alerts to according to user preference and / or a severity of the detected situation / alert.

A system and a device for active threat monitoring in a user worn helmet is provided. The system comprises an Internet of Things (IoT) cloud server having an IoT database. The IoT database is configured to generate virtual data feed. The system comprises a head mounted wearable device. The head mounted wearable device comprises a plurality of physical sensors configured to sense and generate at least one of visual feed and radar feed and a multimodal communication interface. The system comprises a user database designated to store user profile data. The system comprises an environment monitoring unit configured to map an environment based on at least of one of the visual feed, the radar feed, and the virtual data. The system comprises an awareness unit configured to generate an environmental context based on position of a user. The system comprises a controller. The controller is configured to receive the user profile data from the user database, the mapped environment from the environment monitoring unit, the environment context from the awareness unit, and the virtual data feed from the IoT database; analyse the user profile data, the visual feed and the radar feed, the environment context, and the virtual data feed to predict occurrence of threat based on the analysed data; and warn the user about a threat based on the predicted occurrence of the threat via the multimodal communication interface.

The invention discloses a tunnel entrance dynamic light and signal control system based on a visual algorithm, relates to the technical field of intelligent manufacturing control, and is used for solving the problem of poor light control when the visual field of a tunnel entrance suddenly changes. According to the method, a dynamic sensing mechanism based on visual feature understanding and multi-strategy linkage is constructed, continuous monitoring and intelligent control over the driving visual adaptation state of the tunnel portal are achieved, multi-dimensional visual features are extracted through image collection and preprocessing, visual risk scores are generated, visual field sudden change and traffic abnormity are recognized in combination with a sliding window, and the driving visual adaptation state of the tunnel portal is obtained. A risk response instruction is output, illumination adjustment and signal linkage control are driven, then vehicle behavior continuity, parking probability and blind area shielding factors are fused, speed limiting, guiding or warning signals are dynamically issued, and visual model fine adjustment and strategy updating are performed based on execution feedback. And finally, illumination and signal adaptive optimization under cross-time and multi-environment conditions is realized in combination with a control scene library, and the traffic safety and control intelligence level are improved.

A device includes an image capture device directed towards a user's eye and a dispensing mechanism configured to receive an apparatus containing fluid. The image capture device is coupled to a controller that processes images of the user's eye captured by the image capture device to determine when the user's eye has been open for at least a threshold amount of time. An orientation sensor included in the device determines an orientation relative to vertical of the device. When the controller determines that the user's eye has been open for at least a threshold amount of time and that the device has an orientation within a specific range, the dispensing mechanism applies force to the apparatus storing fluid to dispense fluid. One or more sensors in the device detect when fluid has been dispensed.

A device including a visual or audible signaling means and a motion sensor, and logic for activating or controlling the signaling means in response to a sensed motion according to an embedded logic is disclosed. The device may be used as a toy for amusement, and may be shaped like a play ball or as a handheld unit. The device may be powered from a battery, which may be charged from an AC power directly or contactless by using induction or by converting electrical energy from harvested kinetic energy. The embedded logic may activate or control the signaling means, predictably or randomly, in response to the sensed acceleration magnitude or direction, such as sensing the crossing a preset threshold or sensing the peak value. The visual means may be a numeric display for displaying a value associated with the count of the number of times the threshold has been exceeded or the peak magnitude of the acceleration sensed.

The invention provides an automatic loading and unloading detection table for pulse solenoid valve detection, and relates to the technical field of detection devices.The automatic loading and unloading detection table comprises a bottom plate, four moving wheels are fixedly connected to the bottom of the bottom plate, an electric control unit is fixedly installed on the top of the bottom plate, a control table is fixedly connected to the top of the bottom plate, and a display table is fixedly installed on the top of the control table; a water tank is fixedly arranged on the side wall of the console, a water adding mechanism and a testing station are arranged, a water pump is started to suck water in the water tank through a second water outlet valve, the water is led to a flow dividing pipeline through a water outlet pipeline, the flow dividing pipeline guides the water to four flow guiding pipelines, and the flow guiding pipelines guide the water to a water outlet connector. The water outlet connector guides water to the water inlet connector through the test water pipe, then water flow is introduced into the test pipe under connection of the water inlet connector and is guided to the valve body water inlet through the test pipe, and then the electromagnetic valve body is detected, so that the device has the effect of automatically detecting the electromagnetic valve body, and compared with manual detection and machine detection, the device is more stable and efficient.

The invention relates to the field of cable trend analysis, in particular to a temperature and humidity trend analysis early warning method and system for a high-voltage cable, and the method comprises the following steps: S1, monitoring and obtaining the temperature and humidity data of the high-voltage cable in real time through a distributed optical fiber, and carrying out the preprocessing and storage of the obtained data; s2, according to a modeling rule of COMSOL, carrying out modeling processing on the line distribution condition of the high-voltage cable in combination with temperature and humidity data acquired in real time; s3, jointly analyzing and judging the abnormal condition of the high-voltage cable through a distributed framework in combination with a Gaussian mixture model and a robust mahalanobis distance; and S4, performing classification according to the emergency degree of the abnormal condition, and providing different types of early warning modes. The system can improve the monitoring reliability and accuracy, achieves early warning and fault prevention, is suitable for complex environments and large-scale data processing, improves the working efficiency, and reduces the cost.

The present invention relates to the technical field of power equipment, and particularly to a power equipment alarm device and monitoring system. The power equipment alarm device comprises an alarm mechanism, the alarm mechanism comprising: a power cabinet; heat dissipation holes provided in the power cabinet; a baffle arranged inside the power cabinet; a warning light, a first drive assembly and a second drive assembly that are arranged on the power cabinet; a limiting assembly and a third drive assembly that are arranged on the baffle; and a locking assembly and an unlocking assembly that are mounted on the power cabinet. The first drive assembly and the second drive assembly drive the warning light to give an alarm, and the second drive assembly releases the limit on the baffle, such that the baffle blocks the heat dissipation holes, thereby achieving automatic fire extinguishing.

The invention relates to the field of transformers, in particular to an epoxy resin pouring dry-type transformer which comprises an upper clamping piece, a lower clamping piece, a warning assembly and a plurality of main coils, connecting rods are connected between the adjacent main coils in a crossed mode, the warning assembly comprises a warning plate, a first contact switch, a warning lamp and a plurality of thermal expansion and cold contraction blocks, and a sliding cavity is formed in the surface of the lower clamping piece. The multiple thermal expansion and cold contraction blocks are connected to the surface, facing the connecting rods, of the warning plate at intervals, the ends, away from the warning plate, of the thermal expansion and cold contraction blocks correspond to the connecting rods one to one and are connected with the connecting rods, the warning lamp is connected to the surface, facing the connecting rods, of the warning plate, and the first contact switch is connected to the inner wall of the sliding cavity and electrically connected with the warning lamp. According to the epoxy resin pouring dry-type transformer, the warning board, the first contact switch, the warning lamp and the heat expansion and cold contraction block are arranged, the warning lamp is powered on and emits light, pedestrians are warned not to touch the outer wall of the epoxy resin pouring dry-type transformer by mistake and are not bumped or scalded, and therefore the using safety of the epoxy resin pouring dry-type transformer is improved.

The invention provides a smoke concentration detection method and system based on dual wavelengths, and the method comprises the steps: a smoke information collection step: transmitting two optical signals with different wavelengths, respectively collecting the light intensity of smoke scattering, and obtaining smoke information corresponding to the two wavelengths; and a smog information processing step: calculating cumulative sums of the two smog information by using a CUSUM algorithm, judging the type of smog according to the ratio of the two cumulative sums, and sending alarm information when the cumulative sums of the two wavelengths exceed a threshold value and meet the alarm smog type. According to the invention, two kinds of light with different wavelengths are adopted to identify smoke, the accuracy and reliability are greatly improved, and when a voltage signal with one kind of wavelength is interfered by an external environment, a false alarm is not generated; water mist interference signals can be distinguished through the detection signals of the two wavelengths.

A visual signaling system includes smart signage with a set of three or more lights visible from a single direction. Activation of the lights in a first pattern indicates a hazard and for individuals to move away from the sign. Activation of the lights in a second pattern indicates safety and for individuals to move toward the sign. Activation of the lights in a third pattern indicates a need for caution and for individuals to refrain from approaching the sign. The visual signaling system may include a plurality of smart signs which display different patterns on different signs depending on the location of each sign relative to the hazard, thereby guiding individuals away from the hazard.

One or more reduced, same form, light emitting apparatus(es) spaced apart and configured to be mounted at various heights and / or spacing employ the same power consuming light source input that is covered by a symmetrical or asymmetrical redirecting linear lens optics apparatus that is configured for use in a range of mounting heights to uniformly illuminate at least one legal path of egress below. An exemplary light apparatus is a horizontally rotatable device configured to project an illuminated directional building evacuation symbol / text / image onto an illuminated egress path below.

A finger-worn wearable ring device may include a ring-shaped housing, a printed circuit board, and a sensor module that includes one or more light-emitting components and one or more light-receiving components. The wearable ring device may further include a communication module configured to wirelessly communicate with an application executable on a user device.

The invention discloses a road section illegal parking space-time prediction system based on deep learning, and relates to the technical field of intelligent traffic management, and the system comprises a multi-source data fusion collection module, a space-time self-attention feature extraction module, a dynamic granularity parameter generation module, a space-time hybrid model prediction module and an illegal parking early warning visualization module. By collecting traffic camera video streams, vehicle-mounted sensor data, mobile phone signaling data and meteorological data in real time, comprehensive perception of the traffic environment is achieved, the multi-source heterogeneous data are mapped to a unified GIS grid after being subjected to space-time coordinate calibration, a multi-dimensional illegal parking influence factor database is constructed, and on the basis, the real-time monitoring of the illegal parking influence factor database is achieved. The space-time self-attention feature extraction module performs efficient space-time feature extraction on multi-source data by using a space-time diagram self-attention model, generates feature vectors with space-time relevance, and solves the problems of single data and insufficient feature extraction in a traditional method.

The invention belongs to the technical field of warning lamps, and particularly relates to a solar warning lamp device and an assembly thereof.The device comprises a shell, a warning lamp and a photovoltaic assembly are fixedly installed on the outer wall of the shell, a positioning assembly is arranged in the shell, and an auxiliary installation mechanism and a fixing mechanism are arranged above the positioning assembly; the auxiliary installation mechanism comprises a protruding block, the protruding block penetrates through the outer wall of the shell and is in sliding connection with the outer wall of the shell, and a transverse rod is fixedly connected to the outer wall of the protruding block. According to the solar warning lamp device and the assembly thereof, through the use of the positioning assembly, the auxiliary installation mechanism and the fixing mechanism, in the installation process of the device, only the top of the device needs to be aligned with a high-voltage line, operation is convenient in the installation process, meanwhile, direct contact with the high-voltage line is not needed, and the device is convenient to use.

The invention discloses a waistband type falling protection early warning device for old people living alone, and belongs to the technical field of intelligent wearable equipment. The problems that an existing device is single in early warning mode and cannot effectively guarantee the safety of old people living alone are solved, corresponding action results are matched for various data of the old people through the convolutional neural network and the lightweight decision tree model, and if a preliminary judgment result conforms to a normal mode, a judgment result is directly output; if not, triggering a secondary analysis mechanism to further judge whether the old people fall down or not; the GPS positioner is also used for analyzing whether falling behaviors occur at the same position for many times, and if a high-risk position is found, when the old people approach the high-risk position, the warning lamp and the alarm are used for reminding and paying attention to action behaviors; the fall detection accuracy is improved, the possibility of false alarm and missing alarm is reduced, the old people can be actively prevented from falling again in a high-risk area, and a more comprehensive safety guarantee is provided for the old people living alone.

A smart ring includes a curved housing having a U-shape interior storing components including: a curved battery approximately conforming to the curved housing, a semi-flexible PCB approximately conforming to the curved housing and having mounted theron: a motion sensor for generating motion data from physical perturbations of the smart ring, a memory for storing executable instructions, a transceiver for sending data to a client computer, a temperature sensor, and a processor for receiving motion data and performing executable instructions in response thereto, and a potting material disposed in the interior, forming an interior wall of the smart ring, wherein the potting material encapsulates the components and is substantially transparent to visible light, infrared light, and / or ultraviolet light.

A finger-worn wearable ring device may include a ring-shaped housing, a printed circuit board, and a sensor module that includes one or more light-emitting components and one or more light-receiving components. The wearable ring device may further include a communication module configured to wirelessly communicate with an application executable on a user device.

The utility model discloses a foundation pit support and protection device, comprising a bottom plate and a top plate, wherein the outer surface of the bottom plate is rotatably connected to the outer surface of the top plate. When the soil is slightly deformed due to the erosion of groundwater, the top plate can be pushed, and the laser transmitter will follow the movement of the top plate, so that the laser receiver cannot receive the laser emitted by the laser transmitter, and then warn the on-duty construction worker, and an electric plate is fixedly installed on the top of the sliding rod, and a magnetic ring is installed on the inner wall of the sliding sleeve. When the electric plate moves in the magnetic ring, current can be generated, and the current is gradually increased or weakened according to the amplitude of the movement of the sliding rod, so that the time and amplitude of the foundation pit deformation can be accurately collected, and the time and area of ​​the collapse can be more conveniently predicted based on these data, which solves the problem that the existing equipment can warn that the soil layer moves, but cannot calculate the amplitude and time of the soil layer movement.

The invention discloses a visual early warning device and early warning method for hearing-impaired people, and the method comprises the steps: presetting a detection range with a user as a center, recognizing a moving object through a millimeter wave radar, and obtaining the motion parameters of the moving object; acquiring a sound signal of a moving object through a microphone array; performing sound type recognition on the sound signal to obtain the sound type and the voice content of the sound signal; constructing a risk assessment model; acquiring a danger level and related information of the moving object; and converting the danger level and the related information into image information and displaying the image information in projection glasses of the user. According to the invention, real-time moving object detection is carried out on the blind area of the back of the hearing-impaired person through the wearable micro radar; and sound signals in the direction of the moving object are collected through the microphone. According to the invention, intelligent guarantee of travel safety of hearing-impaired people is realized, dangerous target information is directly visualized in the projection glasses, active early warning is realized, and the hearing-impaired people can be helped to avoid dangers in time.

The invention is suitable for the technical field of monitoring management, and particularly relates to a civil engineering safety monitoring management method and system, and the method comprises the steps: S100, positioning the position of a potential safety hazard in a civil engineering construction site, carrying out the rating of the potential safety hazard, obtaining the control authority of a lighting device at the position, editing the lighting mode of the lighting device, and carrying out the recognition of the potential safety hazard; the illumination mode comprises normally-on and flicker, and establishing a corresponding relation between the rating and flicker frequency; and S200, recording the generation time of the potential safety hazard, cutting the potential safety hazard into a plurality of segments, mapping the grade into the segments, updating the flicker frequency, and constructing a monitoring lake. Through cooperation with the output template, the monitoring result of the potential safety hazard can be visually displayed, data support is provided for monitoring management, and through arrangement of the multi-level electronic fence, the safety of the position of the potential safety hazard is greatly improved, intruders are prevented from entering by mistake, accidents are greatly reduced, and the construction efficiency is improved.

The invention provides a warning method and system of an intelligent tripod warning lamp, and relates to the technical field of intelligent vehicle-mounted technologies. When a vehicle is in danger, vehicle state information is collected to automatically generate a warning trigger instruction, and a rear target projection point is determined based on a road type and a vehicle position; projection parameters are calculated in combination with vehicle postures, a vehicle-mounted projection light source is driven to generate a triangular warning graph on the ground at the target distance, meanwhile, light beam output is adjusted in a self-adaptive mode according to environment illumination and visibility, and it is guaranteed that the graph is clear and visible and conforms to human eye safety; the projection position and parameters are dynamically updated to maintain stable warning during the duration of the dangerous state, and the system is automatically closed and reset when the danger is relieved or manual termination is performed, so that the risk of manual arrangement is avoided, and long-distance stable warning is realized.