16 results about "Surveillance imaging" patented technology

The invention relates to a double-spectrum fused intelligent monitoring imaging method and system, and the method comprises the following steps: firstly, synchronously collecting a visible light image and an infrared image of a monitoring scene, and calibrating the pixel coordinates to generate an aligned double-spectrum map; then, extracting the texture features of the visible light image and the temperature gradient of the infrared image from the aligned bispectrogram, and respectively obtaining a texture feature map and a temperature gradient map; feature validity judgment is carried out based on the two images, a bispectrum effective area image is identified, complementary areas are marked, and complementary effective marks are formed; then, carrying out weight assignment on the marks, and constructing a pixel weight table; and finally, fusion calculation and dynamic range compression are performed on the texture feature map and the temperature gradient map by using the weight table, so that a monitoring fusion imaging map is generated, and the technical problem of detail loss caused by sudden illumination change and weak temperature difference due to the lack of adaptive perception capability for scene content in the existing fusion method is solved.

This invention belongs to the field of power plant information technology and safety supervision, and discloses a method, system, equipment, and readable storage medium for identifying unlicensed operations in thermal power plants. The method for identifying unlicensed operations in thermal power plants includes the following steps: acquiring monitoring image data of the thermal power plant production area through cameras installed in the production area, inputting the data into a pre-trained behavior detection model for detection, and obtaining the probability P of personnel operation behavior appearing in the monitoring image data. 作业 And the corresponding location POS where the operation occurs; the probability P 作业 The results of comparing the results with a preset threshold P0 are used to identify unlicensed operations in thermal power plants. This invention can identify and monitor unlicensed operations, unauthorized expansion of work areas, and other violations, significantly improving the real-time performance, accuracy, and coverage of monitoring.

The invention discloses an image processing method, an electronic device, a vehicle and a computer readable storage medium, and the method comprises the steps: obtaining vehicle-mounted images of at least two adjacent cameras of the vehicle, and projecting foreground region images of the at least two adjacent cameras to a first plane when detecting that a foreground object exists in the vehicle-mounted images, and splicing the foreground area images projected to the first plane to obtain a spliced foreground image. Therefore, the foreground image can be determined on the basis of the projection of the foreground area image on the first plane, so that the situation of defects such as ghosting or dislocation in the foreground image obtained by splicing can be avoided to a certain extent, and the quality of a panoramic image obtained by the foreground image can be guaranteed; and the user experience of the panoramic monitoring image system can be guaranteed.

The invention provides a mining area safety monitoring method and system based on image data, and relates to the technical field of mining area safety monitoring. The method comprises the following steps: collecting historical monitoring image data of a target area in a mining area, constructing a monitoring frame image sequence and extracting a plurality of image quality features, performing quality classification on the monitoring frame image sequence, identifying a plurality of visible sample images to construct a visible image set, determining candidate facility areas in the target area, and determining the candidate facility areas in the target area; cutting out a plurality of facility sub-graphs to construct consensus feature fingerprints of the candidate facility areas, extracting structure disturbance features of each facility sub-graph based on the consensus feature fingerprints, and generating a plurality of reference disturbance modes; and extracting the coverage duration characteristic of each reference disturbance mode, and after collecting the online monitoring image data of the target area, carrying out online safety monitoring on the target area based on the online monitoring image data and the plurality of reference disturbance modes. According to the invention, the detectability and early warning reliability of the potential safety hazard of the mining area can be improved.

A monitoring event analysis system and method are disclosed. The method includes: acquiring monitoring images and multiple operation commands, wherein the multiple operation commands have an operation sequence; capturing multiple operation screens from the monitoring images, wherein each of the multiple operation commands corresponds to a corresponding operation screen; according to the operation sequence, treating the multiple operation commands and the multiple operation screens as multiple operation actions, and comparing the multiple operation actions with a monitoring event; and when the multiple operation actions match the multiple monitoring commands and multiple monitoring screens of the monitoring event, storing the multiple operation actions as a monitoring record. Accordingly, it is possible to quickly and accurately determine whether a predefined monitoring event has occurred.

This utility model discloses a cattle unloading and transfer channel, relating to the technical field of cargo loading and unloading devices. It includes a main channel module, a branch channel module, and a monitoring system. The horizontal section of the main channel module is connected to the ship's suspension ladder via a floating slide rail connector. A branch channel module is connected to the end of the main channel module, and the end of the branch channel module is connected to the loading and unloading vehicle. The monitoring system is installed within the branch channel module. The floating slide rail connector is not rigidly fixed to the suspension ladder; the lateral displacement of the slide rail compensates for the longitudinal height difference caused by tides, adapting to tidal fluctuations and ensuring stable movement of the cattle. Two loading lanes are provided at the end of the branch channel module, allowing multiple vehicles to operate simultaneously, reducing ship waiting time and reducing the time for unloading cattle per transaction to 60% of the traditional method. The monitoring images meet customs quarantine filing requirements and support dispute tracing.

The application relates to a human shape movement monitoring method, a system, a terminal and a storage medium, and belongs to the technical field of monitoring, wherein the method is based on a processing terminal in a monitoring device, the monitoring device further comprises a camera and a driving piece for adjusting the angle of the camera, the method comprises the following steps: acquiring real-time monitoring images; performing image recognition processing on the real-time monitoring images; confirming a target following object and entering a lens following mode after the recognition result meets preset mode switching conditions; and performing the following processing in the lens following mode: identifying the position change trend of the target following object; and generating a control instruction for the driving piece based on the position change trend to adjust the rotation angle of the camera. The application can improve the problem that the monitoring effect on specific objects is poor.

The present application relates to the technical field of image processing analysis, especially to the adaptive visibility detection system of expressway, the present application obtains the monitoring image, driving data of expressway through information acquisition module, and generates visibility description rule text for different specifications of vehicles in monitoring image; through image feature extraction module, the feature salience time domain is determined, different feature clustering sets are divided according to the text matching result; according to the driving data comparison result of feature salience time domain in different feature clustering sets, whether the current visibility broadcast information of monitoring section is searched is determined through the search comparison module; through the detection correction module, according to the comparison result of image extraction information and visibility broadcast information, whether the visibility broadcast information is corrected is determined. Further, the adaptive correction of visibility broadcast is realized according to the specification difference of vehicle using time domain dynamic information, and the demand of timely and safe management and control of expressway is met.

The invention relates to a night infrared monitoring imaging enhancement method and device, and the method comprises the following steps: obtaining an original infrared image of a night scene through infrared monitoring equipment, carrying out the noise suppression, obtaining a denoised infrared image, and carrying out the contrast enhancement of the image, and generating an enhanced contrast image. Performing target area initial positioning on the original image based on the image to form an initial positioning target frame, and determining an effective target frame through area gray analysis; detail sharpening processing is carried out on the contrast-enhanced image for the frame, a sharpened target image is generated, and then a target contour is extracted to obtain clear target contour information. And finally, performing feature annotation on the contour map to generate a target feature annotation map, and performing background weakening processing on the map to finally obtain an enhanced imaging map which highlights a target and has a soft background, thereby solving the technical problems of fuzzy details and serious noise interference generally existing in the existing infrared monitoring image.

The application relates to the technical field of community security management, and discloses a floating population intelligent monitoring method, system and equipment. The method comprises the following steps: determining floating population data flow according to behavior event information in monitoring image data of a preset monitoring area collected; obtaining personal trajectory data of the floating population data flow by dynamically tracking the floating population data flow based on a preset trajectory algorithm; analyzing the personal trajectory data by a preset outlier detection abnormal behavior algorithm to obtain abnormal behavior data of the floating population data flow; and pushing early warning information when the abnormal behavior data meets an abnormal behavior early warning threshold. In the application, the monitoring video of the area where the floating population is located can be analyzed, the activity trajectory of the floating population can be recorded, the dynamic trajectory can be described, the personal trajectory data can be analyzed and counted for abnormal behavior by the preset outlier detection abnormal behavior algorithm, and early warning can be performed when the early warning threshold is exceeded, so that early warning can be timely and accurately sent out.

An adaptive image denoising method and system based on color preservation and multi-task learning belongs to the field of computer vision and image processing technology. It addresses the problems of current denoising techniques, which neglect color distortion, leading to "local optimization," loss of local image details, a contradiction between realism and usability, and weak task generalization ability. The method includes: inputting a progressive multi-scale encoder to extract depth features from the noisy image; inputting a cascaded color-preserving denoising unit and a hierarchical multi-task collaborative denoising unit, outputting color-preserving features and multi-task enhanced features; integrating these features through a dual-path adaptive fusion unit, inputting them to a checkerboard effect suppression feature reconstruction decoder for pixel-domain reconstruction and constraint based on color perception; and finally, inputting a task-adaptive robust output synthesis module to output the denoising result. This invention is applicable to scenarios such as mobile photography, surveillance imaging, and medical imaging.

The invention discloses a moving target suppression method for long-exposure monitoring imaging and a security camera, and relates to the technical field of image processing. The method comprises the following steps: multi-exposure image acquisition: synchronously acquiring a frame of long-exposure image and a short-exposure image sequence of the same scene; moving target detection and trajectory analysis: based on the short-exposure image sequence, detecting a moving target in a scene and analyzing a moving trajectory of the moving target; and performing adaptive exposure control, and dynamically adjusting exposure parameters of subsequent image acquisition according to the scene brightness and the motion state of the motion target. According to the invention, through synchronous acquisition of double-path heterogeneous images, the contradiction between brightness improvement by long exposure and blurring of a moving target is fundamentally solved; the finally output image is close to a long-exposure image in overall brightness and dynamic range, and meanwhile, the edge and detail definition of the moving target is close to a short-exposure image, so that motion smear and blur are remarkably inhibited, and the recognizability of the valuable target in a low-illumination monitoring scene is improved.

The invention discloses a smart community management platform based on the Internet of Things, which comprises a first management module and a second management module, and is characterized in that the first management module is used for collecting monitoring images of monitoring equipment in a community, processing the monitoring images and generating first management information; the second management module is used for collecting lighting equipment information in the community and processing the monitoring image and the lighting equipment information at the same time to generate second management information; and after being generated, the first management information and the second management information are sent to corresponding receiving terminals. By arranging the first management module and the second management module, the problems that an existing management platform is single in management type and poor in management effect are solved, and multi-dimensional intelligent integration of community management is achieved.

The application discloses a forest fire identification method based on image generation and stage training and belongs to the field of remote sensing science and technology. The steps are as follows: S1, a forest fire image generation neural network is constructed, large-scale data and a higher identity loss weight are used for training in the first stage, and small data and a lower identity loss weight are used for training the network in the second stage. S2, a high-quality synthetic forest fire image comprehensive data set is constructed by using the model of step 1, S3, a polarization attention module is introduced into a forest fire identification model, and the improved identification model is trained in stages. S4, actual forest monitoring images are input into the forest fire identification model, whether there is fire or smoke is identified, and a fire risk score is output. The application can reduce the false negative rate of medium and large-scale forest fires, improve the identification accuracy and robustness while ensuring the detection speed, and meet the actual needs of forest fire monitoring and alarm.

A system and method for satellite imaging are provided. The system includes a first satellite, a trailing satellite, and a ground terminal. The first satellite acquires synthetic aperture radar (SAR) image data in a first predetermined signal frequency band at a first imaging location and transmits the SAR image data to a ground terminal. The ground terminal determines a second imaging location from the SAR image data and transmits the second imaging location to the trailing satellite. The trailing satellite acquires higher resolution image data in a second predetermined signal frequency band at the second imaging location and transmits the image data to the ground terminal. Systems and methods for satellite imaging are also provided in which a first satellite captures image data and processes the image data onboard to generate a processed product which is transmitted to a receiving terminal at a ground terminal or on a second satellite.