370 results about "Smart camera" patented technology

The invention relates to the technical field of smart city management, and particularly discloses a smart city classification and identification management platform and method based on Internet of Things perception. And an advanced image processing and deep learning technology is utilized to analyze the garbage surface state image so as to automatically identify and classify the garbage. Finally, by comparing the garbage type label with the garbage can type label, the system can intelligently judge whether garbage classification errors occur or not and send out a prompt signal in time, and therefore urban managers and citizens are helped to jointly maintain a good urban environment. Thus, the intelligent level of the garbage classification and recovery process can be improved, garbage classification and recovery management work is promoted, and the management requirement of a smart city and the city construction requirement are met.

The invention relates to an intelligent camera linkage correction method and system, an electronic device and a storage medium. The method comprises the following steps: acquiring a trigger event in a preset monitoring area; extracting trigger characteristics in the trigger event to determine the occurrence of a specific event; determining an acquisition source of the trigger event according to the trigger feature; when it is determined that the acquisition source is the gun camera, determining the target position of the dome camera by using a preset coordinate transformation matrix, sending a control instruction to the dome camera, and controlling the dome camera to adjust the shooting angle according to the target position information, so that the specific event is kept in the central area of the monitoring image; when it is determined that the acquisition source is the dome camera, the target position of the dome camera is determined, a control instruction is sent to the dome camera, the dome camera is controlled to adjust the shooting angle, and the specific event is kept in the center area of the monitoring image; the problem that automation and intelligence are lacked when multi-camera linkage is achieved in the prior art is solved.

The invention provides an elderly nursing method and system, which is applied to elderly nursing services, and comprises the following steps: receiving a video link generated when a monitoring camera monitors an identification object through a message push service; acquiring user configuration information from a database; sending the video link and the user configuration information to an artificial intelligence cloud service, so that the artificial intelligence cloud service analyzes the dangerous behavior and the daily behavior of the identified object to obtain an analysis result; an analysis result sent by the artificial intelligence cloud service is received, and daily state information of the recognition object is counted according to the analysis result; comparing the daily state information with the user configuration information to obtain a comparison result; through combination of the intelligent camera and AI behavior analysis, abnormal or high-risk behaviors of the elderly can be fed back in real time and pushed to family members in time for first-time processing, so that the family members can comprehensively master the living state of the elderly, potential health risks or living abnormalities can be found in time, and the user experience is improved.

The embodiments of the present application provide a method and device for intelligent vehicle driving control, which realizes multi-dimensional data collection through edge boxes, smart cameras and environmental detection equipment. The regional linkage network is dynamically divided based on the vehicle's driving trajectory, and the traffic flow prediction and risk assessment model is trained at the edge. The cloud platform integrates data from multiple analysis and recognition units, triggers the regional linkage mechanism according to the road traffic strategy and risk assessment value, and generates accurate early warning information including real-time road conditions, recommended detour routes and safe vehicle speeds. This method effectively solves the shortcomings of traditional technologies in scene perception, data collaboration and early warning decision-making, and significantly improves the intelligence level and service quality of the assisted driving system.

The invention relates to the technical field of intelligent vision and image fusion, and discloses an intelligent camera dual-light image fusion method and a dual-light integrated intelligent camera, and the method comprises the steps: collecting an original infrared image and an original visible light image; preprocessing the original infrared image and the original visible light image to obtain a double-path preprocessed image; adopting an improved optical flow algorithm to calculate an optical flow field for the two-way pre-processed image; generating an infrared band motion sensing feature set and a visible light band motion sensing feature set; generating a preliminary fusion image based on the infrared band motion sensing feature set and the visible light band motion sensing feature set; for the preliminary fusion image, obtaining an evaluation result including definition, motion consistency and detail richness evaluation indexes; dynamically adjusting a cross-modal attention weight and a gating value according to an evaluation result; and obtaining an optimized final fusion feature based on the dynamically adjusted cross-modal attention weight and the gating value. According to the invention, the fusion image has no dislocation when the target moves rapidly.

The invention discloses a camera intelligent operation and maintenance method and system based on deep learning, and the method comprises the steps: S1, collecting and preprocessing the historical fault data of a camera, and obtaining the preprocessed historical fault data of the camera; s2, according to the preprocessed historical fault data of the camera, counting the occurrence times of each historical fault type and each historical fault reason, and extracting a historical fault type feature vector and a historical fault reason feature vector; s3, generating a camera operation and maintenance text, performing data enhancement, and extracting a historical fault description feature vector, a historical maintenance measure description feature vector, a first relation feature vector and a second relation feature vector; s4, collecting current fault data of the camera, and calculating a current fault type, a first fault reason and a second fault reason; and S5, generating maintenance suggestions and work orders, and selecting maintenance personnel to distribute the work orders. The problem that fault positioning of a traditional camera operation and maintenance method depends on artificial experience can be solved.

The invention discloses a vehicle body type distinguishing method and device based on an intelligent camera and electronic equipment, and relates to the field of data processing. The method comprises the following steps: acquiring a vehicle body image; segmenting a vehicle body area in each vehicle body image to obtain vehicle body features, and establishing a multi-dimensional feature vector; if it is determined that the similarity between the multi-dimensional feature vector and the target image feature is greater than a preset similarity threshold, determining a target vehicle body type corresponding to the to-be-identified vehicle body as a vehicle body type corresponding to the target image feature; determining a plurality of derived types corresponding to the target vehicle body type and corresponding image feature subsets; performing secondary segmentation on the vehicle body image according to the image feature subset to obtain corresponding local features; matching the local feature with each image feature subset to obtain a target derived category; and according to the target vehicle body type and the target derived type, adjusting production parameters corresponding to the to-be-identified vehicle body. By implementing the technical scheme provided by the invention, the accuracy of vehicle body type identification on the production line is improved.

The invention provides a device for detecting the lapping rate of mica tape lapped electromagnetic wires, which is characterized in that electromagnetic wire traction mechanisms are mounted on the outer walls of two ends of the top of an electromagnetic wire lapping machine main body, an electromagnetic wire lapping mechanism is mounted on the outer wall of the middle of the electromagnetic wire lapping machine main body, and a wire seat is fixed on the outer wall of the electromagnetic wire lapping machine main body on one side of the electromagnetic wire lapping mechanism; an anti-fake ink-jet pen is installed on the outer wall of the top of the wire base, and a pneumatic pressing and holding assembly is arranged at the joint of the anti-fake ink-jet pen and the wire base. The anti-counterfeiting ink-jet pen can draw lines on the mica tape wrapped on the electromagnetic wire, the anti-counterfeiting effect of electromagnetic wire production is achieved, the wrapping rate detection electric cabinet is matched with the intelligent camera to work, the anti-counterfeiting drawn lines on the mica tape can be monitored and shot in real time, and the anti-counterfeiting effect of the electromagnetic wire production is improved. The wrapping rate of the wrapping mica tape on the electromagnetic wire is detected through waveform analysis of the anti-counterfeiting wire, the device for detecting the wrapping rate of the wrapping mica tape can continuously carry out detection and analysis, and the detection efficiency of the wrapping rate is improved.

The present invention relates to a hardware system for AI-based underwater vehicle, comprising a lidar on the underwater vehicle, an AI camera, an embedded edge device configured to run two cascaded algorithms wherein one of the algorithms is a deep learning based moving object detector and the other is a deep learning based object classifier, an integrated AI module wherein the module includes a computer containing at least one specialized processing unit. The present invention further relates to a system for tracking and identification of underwater moving objects.

The invention discloses an AI-based sewage treatment visual early warning system and method, and belongs to the technical field of sewage treatment. In the system, an information collection device comprises an intelligent camera, a fluorescence method dissolved oxygen sensor, a temperature sensor, a radar liquid level meter, a water quality information collector, a pump vibration monitor and a parameter collector, and parameter information in a sewage treatment field is collected in real time; the signal transmission device transmits the acquired data to a rear-end processing and analyzing system; the data processing and analyzing system is used for processing and analyzing the collected data to find out abnormal points and potential problems in the data, and sending a processing and analyzing result and early warning information to the client; and the client receives and displays the processing analysis result and the early warning information. According to the invention, each link of sewage is monitored, comprehensive real-time on-line monitoring and fault diagnosis are carried out on the equipment operation condition of each link, the accurate control level of the operation of the sewage treatment plant is improved, and environmental protection accidents are avoided.

The invention relates to an AI-based vision system (110), called a smart camera (SC), for autonomous navigation of a satellite to some a priori known but non-cooperative target object in space. The SC uses images acquired by a single high-resolution vision sensor (112) installed on the satellite. The vision sensor supports a digital zooming function (128) through configurable image cropping within the sensor, which allows to dynamically adapt the region of interest (ROI) in the sensor image thereby eliminating needless pixel operations. The acquired visual information is processed in real-time by quantized AI models (130) trained to predict the relative position and attitude (132) (jointly referred to as the pose) of the target object as seen by the satellite. The pose predictions are used for autonomous steering of the satellite towards the target object by appropriate guidance, navigation, and control (GNC) algorithms (142).

An artificial intelligence-based all-weather unmanned infant monitoring method and system includes a spatial environment information recognition module, an infant behavior analysis module, and an infant behavior disposal module. Aiming at the problem of infant monitoring in special circumstances, the present invention uses an intelligent camera and sensor system to collect and identify the infant's living environment and the infant's physiological state, analyzes the infant's behavior according to an artificial intelligence algorithm, and takes corresponding monitoring measures.

The invention discloses a full-link image transmission delay test method and system of a remote control driving system. The method comprises the following steps: synchronizing time references of a vehicle and a remote cockpit; obtaining image pixel timestamp data reading time delay; generating vehicle camera environment perception simulation data, and injecting a first timestamp; creating a TCP message, injecting the first timestamp, and correcting the second timestamp; injecting a correction third timestamp and sending the correction third timestamp to the cloud server; the remote cockpit receives the data and injects and corrects a fourth timestamp; sending the TCP message with the timestamp data to the intelligent camera, and injecting a correction fifth timestamp; the frequency of the intelligent camera is synchronous with that of the display screen, a display screen image is shot, and a sixth timestamp is recorded; and the computer verifies the TCP message data and calculates the difference value between the timestamps to obtain the time delay. According to the invention, the transmission delay of the image data in the whole transmission link from the vehicle to the remote driving cabin can be accurately measured, and the reliability and safety of the remote driving system in various environments and scenes are ensured.

In one embodiment, a method includes accessing sensory data captured by cameras, identifying people in a field of view of the cameras based on facial recognition of the sensory data, detecting actions of one or more of the people based on the sensory data, generating media files with each being associated with one or more of a recording of at least one of the people or at least one of the determined actions, and sending instructions for presenting one or more of the media files to a client system.

The invention relates to the technical field of pipeline detection, and discloses long pipeline on-line detection equipment which comprises a detection frame and a waiting bracket, the detection frame is provided with movable clamping mechanisms and an outer detection mechanism, a clamping mechanism I and a clamping mechanism II move a long pipeline from the waiting bracket to the detection frame, the outer detection mechanism detects the long pipeline, and the detection frame is provided with a clamping mechanism II and a clamping mechanism II. The outer detection mechanism comprises a plurality of 3D scanners, an inner detection mechanism is arranged at the end of a rotating arm on the first clamping mechanism, a conical table is arranged at the end of a rotating arm on the second clamping mechanism, the inner detection mechanism comprises an inner expansion supporting mechanism and a movable detector, the movable detector comprises a shell, an intelligent camera is arranged at the front end of the shell, and the intelligent camera is connected with the inner expansion supporting mechanism. A plurality of sets of moving mechanisms are arranged on the outer side of the shell, a driving mechanism for driving the moving mechanisms to walk in the long pipeline is arranged in the shell, the long pipeline online detection equipment is efficient, accurate and high in adaptability, and many problems in a traditional detection method can be effectively solved.

The utility model discloses a measuring device for a concrete test block, which comprises a size testing frame and a 3D intelligent camera, a size testing table is arranged below the size testing frame, an extension frame is fixed on the surface of the size testing frame, the 3D intelligent camera is fixed on the surface of the extension frame, a driving motor is fixed at the bottom of the surface of the size testing table, and the 3D intelligent camera is fixed on the surface of the extension frame. An output shaft of the driving motor penetrates through the size testing table and is fixedly provided with a rotating platform, conveyors are arranged on the left side and the right side of the rotating platform, an electric sliding table is fixed to the top of the size testing frame, a connecting plate is fixed to the sliding table position of the surface of the electric sliding table, and a pushing air cylinder is fixed to the top of the connecting plate; one end of the pushing air cylinder penetrates through the connecting plate and is fixedly provided with a clamping air cylinder. The concrete test block measuring device has the advantage of being capable of automatically scanning and measuring concrete test blocks, and solves the problems that manual processing is needed and time and labor are wasted when the concrete test blocks are measured at present.

The invention discloses a security and protection management system, and relates to the technical field of intelligent security and protection, a cloud edge collaboration module is composed of an edge computing node and a cloud computing center, and is responsible for real-time data processing and global data integration. The Internet of Things equipment integration module comprises a plurality of data acquisition terminals, such as a high-definition intelligent camera, a multi-dimensional sensor network, an intelligent door lock, an intelligent access control and the like. The devices can sense the environment state in real time, construct a multi-dimensional sensor network and transmit data to the intelligent analysis module for intelligent analysis, so that abnormal behaviors are identified and potential risks are predicted. And the early warning and response module is internally provided with a multi-stage early warning system and an automatic emergency response strategy, can automatically send early warning information to the monitoring center when potential safety hazards are detected, and starts a preset emergency response process. And finally, the user interaction and remote control module can support multi-platform access, an intuitive operation interface and a cooperative working platform, and remote monitoring and management are realized.

The utility model discloses chip defect detection equipment based on an intelligent camera, which comprises a chip, the chip is packaged in a chip braid, the chip braid is arranged on a chip braid bearing platform, the intelligent camera is arranged right above the chip braid, and the intelligent camera and the chip braid bearing platform are fixedly arranged on a shooting support. By using the equipment, chip defects in the chip braid can be detected, and the focusing angle can be adjusted by adjusting the bracket, so that the detection efficiency is improved, and the detection result is more accurate.

The invention relates to an image processing method and device for an intelligent camera, and the method comprises the following steps: carrying out the pixel distribution statistics of an original image collected by the intelligent camera, obtaining a brightness histogram, carrying out the segmentation division of the brightness histogram, and obtaining a plurality of brightness intervals; performing contour extraction on the original image based on the plurality of brightness intervals to obtain an edge contour map; determining a category label based on the edge contour map, and performing semantic annotation on the edge contour map based on the category label to obtain a semantic annotation result; performing color mapping on the original image based on the semantic annotation result to obtain an enhanced image; and carrying out quality evaluation on the enhanced image, and if the evaluation result does not reach the preset threshold, carrying out color mapping on the enhanced image again based on the evaluation result until the enhanced image reaches the preset threshold requirement, thereby solving the technical problems of low contrast, fuzzy details and color distortion of the original image collected by the intelligent camera.

The invention relates to the technical field of agricultural planting, and particularly discloses an intelligent agricultural disease and pest monitoring system which comprises a mounting base, a lifting mechanism is fixedly mounted in the middle of the top of the mounting base, a rotating mechanism is fixedly mounted at the top of the lifting mechanism, and a first screw rod is driven to rotate by starting a first motor; when the intelligent camera is shielded by branches and leaves, a first electric push rod is started to push an annular frame to move downwards and drive a rack to slide in a groove body, so that a first gear meshed with the rack rotates, and an expansion frame is driven to expand outwards; the expansion frame is in a J shape inclined inwards, a guide plate is arranged at the bottom, the expansion frame can be better inserted between branches and leaves, the branches and leaves are expanded, the intelligent camera is prevented from being shielded, the monitoring effect and protection capacity of the device on agricultural diseases and insect pests are improved, and it is ensured that the conditions of crops can be observed more comprehensively.

The utility model discloses an intelligent camera high-temperature protective cover for visual inspection, and relates to the field of intelligent camera protective structures, the intelligent camera high-temperature protective cover for visual inspection comprises a main thermal insulation protective cover and a limiting protective frame, the outer surface of the main thermal insulation protective cover is provided with limiting grooves at equal intervals, and thermal insulation glass is installed in the limiting grooves. According to the intelligent camera high-temperature protection cover for visual inspection, the main heat insulation protection cover and the auxiliary heat insulation protection cover are arranged, so that the high-temperature protection cover provides double heat insulation protection for the intelligent camera body, and a large gap exists between the interior of the main heat insulation protection cover and the outer surface of the auxiliary heat insulation protection cover; the heat permeating into the main heat insulation protective cover does not directly interfere with the intelligent camera body protected in the auxiliary heat insulation protective cover, so that the heat insulation protection effect of the high-temperature protective cover is further improved; therefore, the situation that when the temperature in the external environment is too high, heat gradually permeates into the protection cover to cause operation interference on the intelligent camera is avoided.

The utility model relates to the technical field of mask manufacturing, and particularly discloses an intelligent mask box opener which comprises an intelligent box opener body, a groove is formed in the upper end face of the intelligent box opener body, an intelligent camera is installed in the groove, and a network cable access port is formed in the lower portion of the left side of the intelligent box opener body. The intelligent camera is electrically connected with the network cable access port, and under the condition that the SMIF box is not opened, the intelligent box opener can read information of a bar code on a mask plate through the intelligent camera, read related data of a product to a PC (Personal Computer) end, and import process information into a manufacturing system through the network cable access port; therefore, intelligent interconnection of product information and a production system can be realized, the time for technicians to input the system is shortened, the error rate of input information is also reduced, the production efficiency is improved, on the other hand, the frequency of opening the SMIF box is greatly reduced, particles are prevented from falling into the SMIF box, the one-time passing rate of products is greatly improved, and the purposes of simple and practical structure, low cost and the like are achieved. And safety and reliability are achieved.

The invention relates to the technical field of intelligent electronic equipment, and discloses a multifunctional camera system for children, and the system comprises a dynamic resource distribution module which is used for receiving multispectral data and temperature feedback, and generating a processor frequency, an image bandwidth and a memory distribution instruction; the environment sensing module is used for integrating a dual-spectrum sensor, compressing features through a tensor decomposition network and then inputting the features into the resource scheduling evaluation module; the intelligent optimization module interacts with the resource allocation module, dynamically adjusts the reward function weight and receives strategy execution effect data; and the heat management module is used for calculating the maximum allowable frequency based on a heat conduction model and feeding back the temperature gradient data to the resource allocation decision module. Through multispectral data fusion under a reinforcement learning framework, a meta-learning driven multi-objective optimization algorithm and a thermodynamic constrained frequency control technology, collaborative optimization of adaptive resource scheduling, precise temperature control and multi-dimensional safety protection of the child intelligent camera in a complex environment is realized.

The utility model relates to the technical field of construction site management equipment, in particular to a construction site safety early warning and management device which comprises an installation base, a fixed transverse plate is arranged on the right side of the installation base, a rectangular opening is formed in the top of the fixed transverse plate, and a heat dissipation assembly is arranged at the position, located at the rectangular opening, of the top of the fixed transverse plate and comprises a rectangular cover. An intelligent camera is arranged on the top of the inner wall of the rectangular cover, and a semicircular transparent protective cover is arranged at the bottom of the fixed transverse plate and located at the rectangular opening. According to the safety early warning and management device for the construction site, when the temperature sensor detects that the temperature in the rectangular cover reaches a set threshold value, the controller controls the fan and the semiconductor chilling plate to work, and the fan enables air in the rectangular cover and the semicircular transparent protective cover to flow; the semiconductor refrigeration sheet can refrigerate a mixture of water and ethanol in the refrigeration box, and the plurality of refrigeration fins exchange heat with air in the rectangular cover, so that the heat dissipation effect on the intelligent camera in a sealed environment is realized.

The present invention relates to an automatic grinding device, which belongs to the field of grinding technology and comprises a working platform, a mounting bracket, a grinding seat, a detection platform and a clamping mechanism. Support legs are welded at the bottom of the working platform, and the height of the support legs is 1.2-1.5 m, which is suitable for the height of most workers in my country, so that the workers can place parts to be ground on the working platform for grinding processing without bending over, thereby avoiding the workers from bending over for a long time and affecting their health. The mounting bracket is welded to the top of the working platform through a reinforcement frame, and the grinding seat is fixedly arranged at the center position of the mounting bracket. A grinding structure is installed in the grinding seat to realize the basic functions of the present invention and has more grinding methods to meet different production needs. Intelligent cameras are fixedly installed on both sides of the mounting bracket, and two detection platforms are respectively installed on both sides of the top of the working platform through a rotating seat. The present invention has high automation, simple operation, good grinding effect, various grinding methods, less dust and strong functionality.

1. Name of the Design Product: Multifunctional Smart Camera 2. Use of the Design Product: Take pictures through the camera, conduct health analysis on the skin color status of the human body, etc., and at the same time have the functions of a dressing mirror and lighting 3. Design Key Points of the Design Product: Lies in the shape 4. Picture or Photo that Best Illustrates the Design Key Points: Stereogram

The invention discloses an intelligent camera system for three-dimensional modeling, displacement detection and defect identification of a bridge structure, and belongs to the technical field of intelligent cameras. The system provided by the invention is used for carrying out instant switching of different AI algorithms through visual interface operation according to requirements in different use scenes; the system comprises a bridge structure displacement measurement module, a bridge structure surface defect identification module and a Gaussian splash modeling module. The intelligent camera applying the system comprises an image acquisition module, an image processing module, a storage module, an interactive LCD screen and a power supply module. According to the invention, multiple detection functions of a single intelligent camera are realized, and the detection requirements of bridge structures in different application scenes can be quickly met.

1. Name of the product in this design: Round Screen Smart Camera. 2. Intended use of this design: for taking photos, videos, making voice calls, video calls, etc. 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.

A vehicular sensing system includes a camera and a radar sensor disposed at a vehicle. The system, responsive to processing of radar data captured by the radar sensor, determines an edge of a road the vehicle is traveling along. Responsive to processing of image data captured by the camera, location of a lane marking of the road is determined. As the vehicle travels along the road, the system, responsive to failing to determine the location of the lane marking of the road via processing of the image data captured by the camera, predicts the location of the lane marking of the road based on the radar data. The vehicle is controlled based in part on the predicted location of the lane marking of the road.