1124 results about "Surveillance camera" patented technology

The invention discloses a human abnormal behavior monitoring method based on a large-model multi-agent, which is executed by a modular multi-agent system deployed on a back-end server, obtains information through a monitoring camera, and comprises the following steps: obtaining a video stream from the monitoring camera by a sensing agent and extracting human body posture features; analyzing the key frame by a scene understanding agent by using a visual large model, and constructing a time sequence dynamic scene graph; the core reasoning agent evaluates the scene semantic conformity based on the pre-trained large model and performs abnormal preliminary judgment; performing fine-grained classification, interpretation generation and risk assessment on the abnormal behaviors; and the report and action agent generates an alarm and records event data. According to the invention, through multi-agent cooperative work and a large model technology, efficient and accurate monitoring of human abnormal behaviors is realized, and the intelligent level of the monitoring system and the abnormal behavior identification accuracy are improved.

Disclosed is a image processing apparatus and a method for controlling the image processing apparatus. The image processing apparatus according to an embodiment of the present disclosure may identify an object from an acquired image, determine whether the object is hidden by another object by using an aspect ratio of a bounding box of the detected object, and based on the object being hidden, estimate an entire length of the object based on coordinate information of the bounding box. Accordingly, the size information of the hidden object may be efficiently identified while a large amount of database is applied or resources of the apparatus is minimized. The present disclosure may be in connection with a surveillance camera, an automotive driving vehicle, an artificial intelligence module of at least one of a user terminal or a server, a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to a 5G service, and the like.

The invention relates to the technical field of anti-terrorism early warning, in particular to an intelligent anti-terrorism early warning system based on image recognition and big data analysis, and the system comprises a multi-source data collection module which is used for collecting video streams, image data and environment parameters through a monitoring camera, a sensor and an Internet of Things device in a deployment region, executing target detection and desensitization operation at the edge computing node, and caching original data to a distributed message queue; and the data standardization processing module is connected with the message queue and is used for carrying out space-time alignment and semantic mapping on the multi-modal heterogeneous data. According to the invention, monitoring videos, sensor data, Internet of Things information and the like are preprocessed and desensitized at edge nodes, space-time alignment and semantic unification are completed through a data standardization processing module, and cross-modal feature fusion is realized through a multi-modal fusion analysis module, so that barriers among different types of data are broken through, and the accuracy of data fusion is improved. Scattered information forms an organic whole, and a comprehensive and consistent data basis is provided for abnormal behavior recognition.

A cabinet may include a body, a bracket connected to a rear surface of the body, and a cover connected to a front surface of the body to be opened and closed, wherein the body may include a first accommodation groove at a rear edge of the body, the bracket may include an insertion protrusion corresponding to the first accommodation groove and a support protrusion at the edge of the bracket to face a rear surface of the body at a position spaced apart from the first accommodation groove. The body may slide to a second position from a state where the body is temporarily fixed to the bracket at a first position.

The invention relates to the technical field of computer vision and target detection, and particularly discloses a lightweight real-time two-wheeled vehicle helmet detection method. According to the method, firstly, a video stream is collected and preprocessed through a traffic monitoring camera, then feature extraction and fusion are carried out through a lightweight backbone network, an encoder and a neck network in sequence, finally, a detection result is output through a decoder, a StripCGLU module is introduced to reduce the calculation complexity, a Pola Former module is adopted to enhance the feature interaction capability, and finally, the detection result is output through a decoder. And a GLBiFPN network is designed to optimize multi-scale feature fusion. According to the method, the calculation complexity and parameter quantity of the model are remarkably reduced, the requirement of edge calculation equipment for efficiency is met while high detection precision is guaranteed, and an effective technical means is provided for safety monitoring in an intelligent traffic system.

The invention provides an intelligent target supervision method and system based on data analysis. The method comprises the steps that visible light and thermal infrared image sequences are synchronously collected through a coastline monitoring camera, and plastic garbage contour features and temperature distribution differences are recognized; segmenting the contour, extracting displacement to generate an ocean current trajectory prediction path, arranging a buoy collection device, and driving surface water flow to converge by using a propeller to guide garbage to move along the path to form a dynamic accumulation area; plastic garbage difficult to decompose is recognized and marked based on visible light reflection difference, offset is calculated in combination with temperature difference to generate a path correction instruction, the track of a collecting device is adjusted to preferentially intercept a target, and real-time images are synchronized to update closed-loop supervision. According to the technical scheme, intelligent recognition, dynamic gathering and precise interception closed-loop supervision of marine plastic garbage difficult to decompose are achieved, the pollution treatment efficiency is improved, and secondary diffusion is restrained.

The invention relates to the technical field of automobile safety detection, and discloses a fatigue driving real-time detection method and system based on a monitoring camera. The method comprises the following steps: acquiring a multi-source sensing data stream in a face area of a driver, and performing time sequence alignment processing to generate a synchronized physiological signal set; multi-modal feature extraction is carried out on the face muscle activity intensity image to obtain an eye movement track feature vector, a head posture change sequence and a face muscle activity intensity map; respectively generating an eye movement fatigue index and a head behavior anomaly score, and obtaining a comprehensive fatigue grade index in combination with a weighted decision algorithm; generating a graded early warning trigger strategy according to the comprehensive fatigue grade index and the real-time driving environment parameter, and calling a corresponding alarm instruction to generate a multi-stage warning signal output stream; and monitoring the change trend of the physiological state of the driver in real time, carrying out dynamic priority adjustment on a warning signal output flow, updating an alarm instruction set, and completing fatigue driving intervention closed-loop control.

The invention discloses a zero-perception dairy cow behavior observation system based on AI vision, and the system comprises a data collection module which is used for collecting a video image through a monitoring camera; the image preprocessing module is used for generating a standardized image frame sequence; the visual Transform feature extraction module is used for outputting a space-time feature vector; the deep forest behavior classification module is used for behavior classification and label output; the behavior analysis module is used for generating a behavior track and group distribution; the model adaptive training module is used for periodic incremental training; and the abnormity early warning module is used for judging and outputting abnormal behaviors. According to the invention, cow behavior automatic identification and abnormity intelligent early warning based on AI vision are realized, and the management efficiency of a farm and the cow health guarantee level are improved.

The utility model relates to the field of sluice foundation detection, and discloses a sluice foundation subsidence displacement observation device which comprises a base, a stand column fixed in the middle of the top of the base, scale marks engraved on the side wall of the stand column, a connecting seat sleeved on the side wall of the stand column, a pointer fixed at one end of the top of the connecting seat close to the scale marks, and a circular seat fixed at the top end of the stand column. A buzzer is fixed to the top of the circular base, monitoring mechanisms are arranged at the two symmetrical ends of the bottom of the circular base, a transparent protective cover is fixed to the top of the connecting base, a monitoring camera is arranged in the transparent protective cover, and the monitoring camera and the connecting base are fixed. According to the utility model, through the combination of the monitoring mechanism and the monitoring camera, the real-time monitoring of the settlement condition of the sluice base can be realized, continuous image data can be provided, the settlement height of the foundation can be analyzed and recorded conveniently, and when the settlement of the base exceeds a set threshold value, the buzzer gives an alarm sound to remind related personnel to take measures in time, so that the working efficiency is improved. The safety is ensured.

The invention relates to the technical field of video monitoring, in particular to a method for quickly searching a linkage monitoring camera in a panoramic video, which comprises the following steps of: obtaining monitoring equipment information and panoramic video picture information through a panoramic monitoring system; constructing a panoramic video picture correction mechanism to adjust the panoramic video picture information to obtain corrected panoramic video coordinate information; introducing a geographic coordinate and pixel rectangular coordinate transformation expression based on the basic imaging information, and analyzing a corresponding relation between a panoramic video picture and a physical space coordinate based on the geographic coordinate and pixel rectangular coordinate transformation expression and the corrected panoramic video coordinate information; combining monitoring equipment information, corrected panoramic video coordinate information and the corresponding relation to build a panoramic area and monitoring camera mapping library; and carrying out panoramic target area frame selection and panoramic video picture display according to the panoramic area and the monitoring camera mapping library. According to the invention, linkage display of a panoramic video and a camera local picture is realized through space calibration and an intelligent algorithm.

Disclosed is a surveillance camera capable of detecting a color of a vehicle using vehicle logo detection. This specification describes a method that, instead of processing an entire image of a vehicle, detects the vehicle's logo and expands a bounding box of the detected logo to analyze a dominant color within the expanded bounding box for higher accuracy. During a dominant color analysis process, color correction may be performed based on metadata, environmental factors, and a lighting condition. In addition, more accurate vehicle color detection may be achieved through color distance measurement. According to this specification, at least one of a surveillance camera, an autonomous vehicle, a user terminal, and a server may be associated with an Artificial Intelligence (AI) module, a robot, an Augmented Reality (AR) device, a Virtual Reality (VR) device, and a 5G service.

A surveillance camera includes: a communicator configured to receive, from a user terminal configured to measure position information and orientation information of the user terminal, the position information and the orientation information of the user terminal; a controller configured to set position information and orientation information of the surveillance camera based on the position information and orientation information of the user terminal; and a housing which accommodates the communicator and the controller therein, wherein the housing includes a user terminal contact configured to allow the user terminal to contact the user terminal contact at a predetermined angle with respect to the surveillance camera.

The utility model discloses a crane human-shaped safety monitoring device which comprises a lifting hook support and a crane lifting hook, and the crane lifting hook is fixedly arranged at the bottom of the lifting hook support; the monitoring device comprises a lifting hook support, a monitoring camera is arranged on the side wall of the lifting hook support, the monitoring camera and the lifting hook support are connected through a deflection assembly, and the deflection assembly enables the gravity center of the monitoring camera to be always downward through gravity. The monitoring camera fixed on the lifting hook support can be used for shooting and monitoring a blind area at the bottom of the lifting hook, and meanwhile, the deflection assembly and the damping buffer assembly are arranged and are matched for use, so that the situation that a picture shakes violently due to shaking of the lifting hook can be effectively avoided, and the safety of the lifting hook is improved. The deflection assembly enables the center of gravity of the camera to be always downward and keep a relatively stable posture, and the damping buffer assembly can restrain follow-up shaking of the camera body and keep the camera body relatively stable, so that the camera is particularly suitable for monitoring a crane.

The invention discloses a device and a system for risk identification and early warning of an expressway operation area. The system comprises a portable pressure-sensitive deceleration strip, an integrated intelligent traffic cone and an engineering early warning vehicle, the two portable pressure-sensitive deceleration strips are arranged at the first-level early warning boundary and the second-level early warning boundary in front of the integrated intelligent traffic cone on the upstream of the operation area respectively and used for sending alarm signals to other associated equipment when it is detected that a vehicle on the high-speed early warning lane enters the early warning area; the integrated intelligent traffic cone is used for configuring integrated modules such as a monitoring camera, an audible and visual alarm and a character notice board according to an early warning effect when the traffic cone is automatically placed at a set position so as to identify risks inside and outside an operation area and perform early warning; and the engineering early warning vehicle is used for assisting in identifying risks inside and outside the operation area, processing early warning information and slowing down collision. By constructing the device and the system for identifying and early warning the risks of people, vehicles and equipment in the expressway operation area, the external vehicle intrusion risk and the internal personnel and equipment risk in the operation area can be actively found, an alarm prompt is given before the risks come, workers in the operation area are guided to rapidly evacuate, and casualties caused by accidents are reduced.

The invention relates to the technical field of traffic information collection, in particular to a tunnel traffic flow detection method based on a video cloud networking technology, and the method comprises the following steps: obtaining video flow data collected by each monitoring camera in a tunnel in real time; performing compression coding processing on the video stream data; performing noise filtering and frame synchronization preprocessing on the coded video data; in a preset edge computing node, inputting the structured video data into a vehicle flow detection model to extract vehicle feature parameters in the video frame; performing tracking association on the target vehicle in the video frame through an asymmetric Kalman filtering algorithm, and comparing the vehicle flow detection data with a preset vehicle flow threshold; and in the cloud analysis platform, analyzing the structured detection data through the tunnel traffic flow prediction model. According to the invention, noise filtering and time-space alignment can be carried out on the collected vehicle operation video data, and the accuracy of tunnel traffic flow detection is improved.

A vehicular driver monitoring system includes a vehicular interior rearview mirror assembly having a mirror head that accommodates a variable reflectance mirror reflective element, a driver monitoring camera and a near infrared light emitter. When the near infrared light emitter is electrically operated to emit near infrared, the near infrared light emitter emits near infrared light that illuminates at least a driver head region. While the variable reflectance mirror reflective element is operating in a first mode, and responsive to determination that visible light reflecting off glasses worn by the driver is obscuring the camera's view of the eyes of the driver, the vehicular driver monitoring system controls the variable reflectance mirror reflective element to reduce visible light transmissivity through the variable reflectance mirror reflective element to reduce visible light reflections at the glasses worn by the driver as captured in the image data captured by the driver monitoring camera.

The application relates to the technical field of monitoring, in particular to a monitoring method and device based on target tracking, equipment and medium. The method comprises the following steps: judging whether a monitoring target moves from a first monitoring area of a first monitoring camera to a common monitoring area of the first monitoring camera and a second monitoring camera; if the judgment is yes, judging whether the monitoring quality of the first monitoring camera is greater than that of the second monitoring camera; if the judgment is yes, improving the monitoring quality of the second monitoring camera to a preset quality standard; and in response to the monitoring quality of the second monitoring camera reaching the preset quality standard, controlling the second monitoring camera to be a main monitoring camera for the monitoring target. The application solves the problem that in the prior art, when a camera is used for tracking and monitoring a specific target, the angle of view is poor when the main monitoring camera is switched, and the tracking target is easily lost due to the poor angle of view in a complex scene.

The system according to this embodiment aims to quickly locate a child who has gotten lost in a shopping center and reunite them with their parents. [Solution] The system according to the embodiment comprises a reception unit, a storage unit, an analysis unit, and a notification unit. The reception unit allows parents to register their child's face. The storage unit stores the face data registered by the reception unit. The analysis unit analyzes video footage from surveillance cameras in the shopping center to determine the child's location. The notification unit sends a notification to the parents and staff when a child is found missing.

The invention relates to the technical field of image recognition, and particularly discloses a transformer fire stage recognition method based on image recognition. Comprising the following steps of 1, collecting real-time image data of a transformer through a monitoring camera, and monitoring the operation state of the transformer; 2, preprocessing the image data, including noise removal, brightness normalization and target area extraction, so as to improve the accuracy of subsequent recognition; step 3, extracting depth features of the image based on a convolutional neural network, extracting feature parameters such as color distribution, smoke form, flame texture and the like, and performing feature fusion to form a multi-modal feature vector; according to the technical scheme, fine recognition of the fire stages is achieved, the transformer fire development process is divided into six stages by introducing a deep learning model and an image recognition algorithm, fine-grained recognition of the whole fire process is achieved, and the bottleneck that the fire stages are difficult to distinguish through a traditional monitoring means is broken through.

The invention relates to the technical field of monitoring cameras, in particular to a high-definition monitoring camera which solves the problem that a shooting view field is blocked due to reciprocating swing of a windscreen wiper in an existing monitoring camera with the windscreen wiper, guarantees the image quality definition of the monitoring camera and comprises a camera body, and the camera body comprises a camera body and a lens. A protective cover for protecting the opening is rotationally mounted on the shell, the protective cover is made of a transparent material, a driving motor is in transmission connection with the protective cover and drives the protective cover to rotate around the rotating circle center of the protective cover, the area of the protective cover is larger than that of the lens, and the mounting position of the lens deviates from the rotating circle center of the protective cover; the shell is provided with a windscreen wiper used for wiping the surface of the protective cover, the windscreen wiper is installed outside the shooting view field range of the lens, when the driving motor drives the protective cover to rotate, the area, corresponding to shooting of the lens, on the protective cover can rotate to the windscreen wiper, and then the position, wiping the protective cover, of the windscreen wiper rotates to the corresponding shooting area of the lens.

The application discloses a structure interlayer displacement automatic measurement method and system based on visual data and belongs to the technical field of structure displacement measurement. The measurement method comprises the following steps: acquiring video data in the vibration process of a building based on a monitoring camera; processing the video data by using an improved kernel correlation filtering algorithm to extract building interlayer displacement information; verifying the extracted displacement information and outputting building interlayer displacement results. On the basis of a classical kernel correlation filtering target tracking method, the application utilizes image pyramid, robust feature extraction and discrete Fourier transform up-sampling technology to expand the tracking range, enhance the edge features and improve the tracking precision; the application fully utilizes the existing monitoring camera equipment to measure the interlayer displacement, does not need to additionally arrange sensors and reduces the cost budget.

The present invention generally pertains to a motion sensing camera for monitoring and photographing wildlife and more specifically pertains to such a wildlife camera with optical zoom capability that allows one to photograph game animals from a greater distance, reducing the likelihood of alarming game animals being photographed / filmed. The wildlife surveillance camera also optionally comprises EMF and / or RF shielding material that substantially reduces the electromagnetic field generated by said camera.

The application discloses an airport runway FOD identification method, system and product based on runway bidirectional feature fusion in the field of airport runway FOD identification, and the method comprises the following steps: S100, a plurality of groups of FOD monitoring camera groups composed of two FOD monitoring cameras are arranged at equal intervals along the length direction of the airport runway; S200, the field of view area of the FOD monitoring camera is calibrated; S300, the weight parameter of the overlapping field of view area is configured; S400, the shooting image of the FOD monitoring camera is acquired in real time, the near-field field of view area is directly input into the FOD identification model, the feature map is output for FOD identification, the area belonging to the far-field field of view area in the overlapping field of view area is input into the FOD identification model based on the weight parameter, and the weighted feature map is output for FOD identification after feature fusion; and S500, the FOD alarm signal is output based on the FOD identification result. The application can significantly improve the accuracy and reliability of the airport runway FOD identification.

The invention discloses a bridge deck runoff treatment and hazardous chemical substance collection combined method for a highway. The method comprises the following steps: step 1, bridge deck runoff collection; 2, hazardous chemical substance collection; according to the invention, an existing monitoring camera on a road is completely adopted for information acquisition, only data reading, analysis and communication equipment is additionally arranged in a monitoring center, one-time investment is greatly saved, and adopted technical supporting hardware is common equipment of a road system, so that the operation and maintenance difficulty is small, the service life is long, and the operation and maintenance cost is low; according to the method, only a bridge deck runoff collecting pipeline is slightly adjusted, the problem that the treatment cost of the dangerous chemical accident liquid of a user is greatly increased due to the fact that the dangerous chemical accident liquid pollutes a large amount of rainwater in the rainy weather can be solved, and the operation and maintenance cost and the operation and maintenance difficulty are extremely low; the purification efficiency is high; meanwhile, the bridge deck initial runoff treatment technology is high in weather resistance and resistant to hydraulic impact.

1. Name of the product in this design: Surveillance Camera (M9). 2. Purpose of this design: For use in surveillance cameras. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model.

This utility model relates to the field of monitoring device support technology, and discloses a multi-head monitoring support platform for classrooms, including a support rod. An upper support block is fixedly connected to one side of the support rod. An upper support shaft, an upper fixing plate, an upper connecting plate, and an upper protective cover are rotatably connected to the upper surface of the upper support rod. This utility model has a reasonable structure. By installing the monitoring camera on the upper support shaft, rotating the upper fixing plate and the upper connecting plate to fix the monitoring camera, and using connecting bolts to fix the upper connecting block and the upper fixing block to ensure stability, the upper protective cover is attached to the outside of the monitoring camera. The camera's data cable is passed through a cable hole on the upper surface of the upper support block and inserted into the upper support block. The data cable is placed in the upper cable management groove and then through the cable management groove. The camera angle is adjusted by rotating the support rod. A cooling fan is inserted into the lower fixing block, a lower heat sink is inserted into the lower support block, and an upper heat sink is inserted into the upper support block.

1. Name of the product in this design: Surveillance Camera. 2. Purpose of this design: For use as a safety monitoring camera on high-altitude power transmission towers. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.