727results about "Registering/indicating time of events" patented technology

The invention relates to the technical field of face recognition, in particular to an intelligent construction site face recognition attendance supervision and management system and management method. Comprising a binocular living body detection camera, an identity card reader, an IC / ID card reader, an infrared monitoring sensor and a gate acceleration sensor; the dynamic weight calculation module is used for dynamically adjusting the weight parameter of the face matching degree according to the living body detection result, the human-certificate comparison data and the environment illumination condition; the malicious gate rushing judgment module is used for generating a gate rushing risk value based on gate acceleration sensor data, infrared monitoring border crossing behaviors and continuous face recognition failure times; the attendance data optimization module is used for analyzing and correcting the confidence coefficient of attendance records through a historical recognition success rate and a time sequence; according to the invention, safety management requirements in complex scenes can be met.

The invention relates to the technical field of scientific research instrument management, in particular to an intelligent supervision method and system for a scientific research instrument, and the method comprises the following steps: extracting instrument reservation task information and constructing a timetable, collecting and analyzing control instruction abnormal behaviors to generate risk information, collecting power trend data to recognize an operation state, and carrying out management. And collecting an identity instruction and power information to construct a use record, and analyzing power fluctuation and load degree to generate a maintenance cycle evaluation value. According to the method, dynamic sorting and conflict screening of the reservation requests are realized by combining the task dependency relationship and the priority information, the risk level is evaluated by using the user instruction behavior characteristics, the real-time identification of the operation risk is realized, the accuracy of the operation state identification is enhanced by using the power fluctuation trend analysis, and the user experience is improved. A structured binding relationship of use data is established in combination with the identity and the device number, the information tracing integrity and the data tracing efficiency are improved, and the prejudgment capability of the maintenance period is optimized by using the combined evaluation of the operation load and the power trend.

The invention discloses an intelligent college visitor reservation system which comprises a visitor registration module, a process approval module, a pass verification module, a data management module and a confidential pass module. The mobile terminal encrypts the confidential information of the confidential identity personnel by adopting a dynamic multi-factor encryption algorithm, and then generates a dynamic two-dimensional code from the encrypted confidential information, and an authorized applicant scans the dynamic two-dimensional code of the mobile terminal of the confidential identity personnel through the authorized mobile terminal to obtain the confidential information, automatically generates authorized access and sends the authorized access to the auditing terminal; and the auditor analyzes the confidential information through the auditing terminal, performs access auditing and then issues the passing permission. According to the invention, the campus traffic management efficiency is improved, and the method has a positive influence on guaranteeing the safety of the university campus.

Methods and systems for determining a passing time of an object passing a timing line comprise receiving video frames captured by a calibrated camera system, each frame representing object(s) moving along a track; determining or receiving calibration data defining a virtual timing zone positioned at a distance from the camera system, the timing zone extending across and along the track and including a virtual timing line; detecting objects in the frames using an object detection algorithm to define detected objects; determining depth information for some of the video frames, the depth information comprising information regarding a distance between detected objects and the camera system; determining detected objects that are positioned within the timing zone based on the calibration data and the depth information; and, determining a passing time for detected objects in the virtual timing zone based on instance(s) of frame(s) comprising the detected object(s) passing the timing line.

The invention discloses a driving test timing anti-cheating system and method, and the system comprises a timing card punching device, a signal detection module, and a central processor, and the timing card punching device comprises a Bluetooth communication module; the signal detection module comprises a frame number reading unit, a vehicle state acquisition unit and a gyroscope sensor which are integrated on the same circuit board, the frame number reading unit acquires a VIN code, the vehicle state acquisition unit acquires a vehicle speed, a rotating speed and an ignition key state, and the gyroscope sensor detects X / Y / Z axis acceleration; the central processing unit binds a vehicle VIN code to a cloud background, compares the current VIN code with the bound VIN code when the vehicle is started, and performs class hour validity verification according to the vehicle state and data detected by the gyroscope sensor; the driving test cheating behavior is thoroughly solved through triple dynamic verification chains including vehicle frame number lifelong locking, vehicle signal-gyroscope fusion analysis and timing and card punching equipment anti-disassembly monitoring.

The present invention relates to a detection assembly (102) for detecting passing sports timing transponders (14) in a sports event, comprising: an antenna (106) and a calculation unit (104) connected to the antenna; and a channel element (22) for positioning the antenna and the calculation unit on an underlying surface and for protecting the antenna and the calculation unit from external forces, wherein said channel element is connectable to a preceding channel element (108) and a following channel element (110) to form a line; said calculation unit is connectable to a first neighboring calculation unit (112) via a first cable (114) extending into the preceding channel element and to a second neighboring calculation unit (116) via a second cable (118) extending into the following channel element; and said calculation unit includes a voltage detection circuitry (124) for detecting whether power is provided to the calculation unit via the first cable or via the second cable. The present invention further relates to a floor cable channel (20) and a race timing system (16).

The invention provides an engineering machinery man-machine binding card punching management system based on fingerprint biological recognition, and belongs to the field of fingerprint recognition, and the method comprises the steps: obtaining a fingerprint image of a to-be-recognized constructor and an initial fingerprint matching degree; dividing the fingerprint image of the construction personnel to be identified into a plurality of areas; obtaining a normal fingerprint area and a suspected stain area according to the shape of each area; according to the number of normal fingerprint areas around each suspected dirty area and the distribution of pixel points in each suspected dirty area, obtaining a dirty area; and completing identification according to the normal fingerprint area, the stain area and the initial fingerprint matching degree of the to-be-identified constructor. The invention aims to solve the problem that the construction personnel cannot identify the fingerprint when performing fingerprint card punching identification on the construction site due to the fact that the fingers of the constructor may be stained with oil stains, soil and the like in the construction process. And the problem that fingerprint card punching comparison is wrong may occur.

The invention discloses a campus low-carbon energy-saving smart classroom management method and system based on virtual classrooms. The method comprises the following steps: constructing a basic classroom resource pool; a classroom intelligent infrastructure layer is constructed through an environment sensing device, a network transmission device and an intelligent controller; constructing a digital twinborn model of the virtual classroom by combining the attribute information of the basic classroom resources and the classroom environment parameters collected by the intelligent facility; based on a digital twinborn model, monitoring the operation condition of each piece of hardware equipment in a classroom in real time; generating an operation and maintenance scheme and forming an operation and maintenance file according to the operation condition of the equipment and the prediction analysis result; constructing an energy consumption model of the virtual classroom, performing multi-dimensional evaluation on energy consumption of the classroom in real time, and constructing a carbon effect index; corresponding classroom services are developed in a targeted manner according to attribute characteristics of different types of classrooms; for different service objects, corresponding service interfaces are provided to realize input of classroom use requirements. And a complete technical system of low-carbon energy-saving intelligent classroom management is constructed.

The information processing apparatus generates three-dimensional shape data representing a three-dimensional shape of a first object by using a plurality of images obtained by a plurality of imaging apparatuses capturing the first object. The information processing apparatus estimates a size of the first object by using the three-dimensional shape data. The information processing apparatus specifies a position of a second object that is captured by the plurality of imaging apparatuses based on results of a comparison between the estimated size of the first object and a predetermined reference value.

The method comprises the following steps: S1, establishing a binding relationship between an identity code ID and a UWB tag physical address, and deploying a UWB positioning base station to construct a spatial topological graph; s2, arranging timing and circle counting devices on the starting line and the detection line; s3, a competition starting instruction is sent through the wireless command sender, and the timing and circle counting process is started through the timing and circle counting device; s4, performing joint verification on the identity code ID and the real-time coordinate by adopting an anti-cheating discrimination algorithm based on a space-time heterogeneous arbitration network; s5, generating a spatio-temporal data packet according to the accumulated number of turns of the athletes passing verification and the competition time, generating a hash value according to the spatio-temporal data packet, and uploading the hash value to the block chain evidence storage network; and S6, generating an anti-cheating analysis report based on the space trajectory and a final school report after the competition. According to the invention, automatic timing and circle counting management of middle and long distance race events is realized, the data accuracy and real-time performance are improved, cheating is effectively prevented and controlled, and the fairness and management efficiency of the race are guaranteed.

The invention discloses an offshore operation personnel safety management method and system, and the method comprises the steps: generating a positioning code containing positioning information for a preset position in an offshore operation scene, enabling an offshore operation personnel to use a mobile terminal to scan the positioning code of each preset position, and recording the position change of the offshore operation personnel in the whole offshore operation process in detail. And the cloud management platform receives the scanning record of the offshore operation personnel sent by the mobile terminal, analyzes the dynamic change of the offshore operation personnel in real time through the scanning record, and determines a movement track diagram. Meanwhile, the cloud management platform accurately predicts potential dangers in the offshore operation process according to the environment monitoring data, and immediately generates abnormal information and early warning information when the abnormity of the offshore operation personnel is detected through the movement track diagram and the existence of the potential dangers is monitored according to the environment monitoring data; and related personnel and management departments are notified in various modes, so that the safety of the offshore operation personnel is effectively protected.

A skidding system (1) for skidding a heavy load (3) over a deck (2) of a vessel comprises a skid shoe (5) guided on a skid rail (4) and a hydraulic cylinder (4) to cooperate with the skid shoe (5) and the load (3) to be displaced. The hydraulic cylinder (4) comprises a cylinder body (8) and a piston rod (9) that is extendable with respect to the cylinder body (8) by hydraulic power so as to displace the load (3) with respect to the skid rail (4). The skidding system further comprises a first releasable coupling (12) for coupling the piston rod (9) to the load (3) to be displaced with respect to the skid rail (4), a second releasable coupling (15) for coupling the cylinder body (8) to the skid shoe (5), a third releasable coupling (19) for coupling the cylinder body (8) to the load to be displaced with respect to the skid rail (4) and a fourth coupling (22) for coupling the piston rod (9) to the skid shoe (5).

A system for tracking competitors conducting a race on a track includes multiple object-recognition devices positioned to recognize objects at predetermined locations along the track. The object-recognition devices are configured to recognize at least one physical feature of each of the competitors. A processing device is configured to determine a time at which a competitor reached a selected one of the predetermined locations during the race based on object-recognition data from at least one of the object-recognition devices. A transmitter is configured to transmit to an output device the time at which the competitor reached the selected location during the race.

The invention discloses a building labor constructor access identification device, and relates to the technical field of identification devices, the building labor constructor access identification device comprises a bottom plate, the top of the bottom plate close to one side edge is provided with a blocking assembly used for preventing people from randomly accessing; according to the building labor service constructor access identification device, when a worker needs to enter a construction site on a building labor service construction site, firstly, the corresponding finger is inserted into the corresponding rubber sleeve, so that one end of the fingerprint surface of the finger is erected on the surface of the compression-resistant frame; the high-pressure water source is used for cleaning fingerprints, and then hot air is used for heating and air-drying the fingerprint surfaces of the fingerprints, so that the fingerprints can be scanned and identified through the optical fingerprint sensor, and normal reading of the fingerprints is effectively prevented from being influenced by dirt on the hands of building workers; the problem that in the prior art, most building labor service constructor access recognition devices do not have the fingerprint cleaning function, and fingerprint recording errors are likely to be caused is solved.

The invention discloses an automatic attendance checking, abnormal behavior detection and classroom condition analysis device based on computer vision, and relates to the technical field of intelligent education, the device comprises a front-end user interface, a rear-end server and a database; the system integrates attendance checking, abnormal behavior monitoring and classroom condition analysis functions, the classroom attendance checking module is provided with a dynamic window, a comparison algorithm is optimized, caching and early warning are combined, accurate non-inductive attendance checking and abnormity reminding are achieved, the abnormal behavior detection module fuses multiple algorithms and a dynamic threshold value, behaviors are recognized, instantaneous actions are filtered, continuous analysis is achieved, and the classroom attendance checking system is suitable for being popularized and applied. The method fills the blank of abnormal behavior analysis, realizes visual display of attendance and abnormal behavior detection results by superposing state labels through a front-end real-time monitoring panel and supporting historical data calling, automatically generates a classroom condition analysis report containing analysis data according to the detection results, provides real-time behavior feedback, assists teachers in mastering classroom dynamic conditions in real time, and improves the teaching efficiency. And support is provided for teaching decision making.

The invention discloses a timing system with an anti-disassembly function, and relates to the field of coach car data collection, and the system comprises an anti-disassembly label which is installed in a coach car; the anti-tamper detection module is installed in close contact with the anti-tamper tag, and the anti-tamper detection module internally comprises an anti-tamper tag read-write circuit so as to obtain state data of the anti-tamper tag; and the timing equipment host is connected with the anti-disassembly module and is used for periodically reading the label state data so as to automatically trigger an anti-disassembly response when the state of the label state data is lost or the communication is interrupted. The tamper detection module is physically attached to the label, label information is continuously read and written, the host polls and verifies the state regularly, once the label leaves, is disconnected or is shielded, abnormity can be detected, response is timely and accurate, and the problem of misinformation caused by physical false triggering is avoided.

A system for identifying a person approaching an access way of a sporting event. The is identified using pass-through facial recognition technology in which one or more images of the person are taken while the person is in motion. The person is identified by comparing one of the images taken while the person approaches the access way of the sporting event with a profile image of the person.

The present application describes an electronic scoring system, especially designed for combat sports. The system allows a judge to automatically and consistently record the scoring parameters throughout a combat and its various rounds. In order for this to be possible, the judge evaluation is captured periodically, during the combat, using a scoring device and is sent to, central control unit, which is in charge of all the processing underlying the determination of the final winner of the combat.

The invention discloses a punching-free installation attendance machine, and belongs to the technical field of attendance machines, the punching-free installation attendance machine comprises a preassembled plate fixedly installed on the outer side of a smooth preset surface, a machine body is installed on the preassembled plate through a lifting assembly, and a detection module for monitoring the body type and position of a user is installed on the machine body; an adsorption assembly used for being adsorbed to the smooth surface is arranged at the center position of the pre-assembling plate, flexible adhesive patches bonded to the smooth surface are further evenly embedded and fixedly installed on the back face of the pre-assembling plate, an air blowing pipe is further installed on the adsorption assembly, a fixing base is fixedly installed on the back face of the machine body, and an air conveying assembly is arranged on the inner side of the fixing base. According to the attendance machine without punching installation, multi-mode matched positioning is adopted, the adsorption structure can be automatically adjusted in the follow-up using process, the adsorption stability is ensured, automatic cleaning of a working area can be achieved in the position height adjusting process, and the punching recognition precision is ensured.

The invention relates to the technical field of intelligent construction sites, in particular to an all-dimensional visual intelligent automatic control method for an intelligent construction site. According to the invention, the identity tag information of the personnel on the construction site is compared with the preset stored information to verify the identity tag information and ensure the reliability of identity verification, and through verification of the safety helmet wearing information and the safety helmet IP information with the safety level, the personnel entering the construction site can be ensured to wear the safety helmets according to requirements, and meanwhile, the safety helmet wearing safety is ensured. The safety helmet IP information and the positioning information of the workers in the construction site are utilized, the positioning information is compared with the authority subareas in real time, the track of the workers in the construction site containing illegal record registration is formed in real time, in addition, the health and safety of the workers in the construction site are monitored, the workers entering the construction site are monitored in an all-around and intelligent mode, and meanwhile the safety of the workers entering the construction site is improved. And construction site personnel can be effectively ensured not to leave the construction site by carrying construction site articles illegally, so that the comprehensive and intelligent monitoring effect on the construction site is achieved.

The invention discloses an intelligent attendance checking method and system. The method comprises the following steps: collecting multi-dimensional non-biological characteristic data of each employee in a preset attendance checking working time period; wherein the non-biological characteristic data comprises at least two of the accumulated connection duration of the terminal equipment accessing the specified wireless network, the accumulated effective operation duration of the specified computer equipment in a local login state and the accumulated effective active duration of the specified software application; calculating the ratio of each piece of non-biological characteristic data of each employee to the duration corresponding to the preset attendance work time period, and calculating the attendance credibility score of the employee by adopting a weighted summation operation method; and judging whether the attendance credibility score is not lower than a preset threshold, and generating an attendance record according to a judgment result. The non-biological characteristic data generated by the behavior of the employee in the preset attendance working time period is used as the attendance basis, the attendance information is automatically acquired, attendance automation is realized, the employee does not need to perform active operation, the phenomenon of missing card punching is avoided, and the safety is high.

The invention relates to the technical field of asset management, and discloses a quality inspection lock management method, which comprises the following steps of: automatically recording receiving and returning events of an intelligent key through an intelligent key fixation management unit; performing authority verification on the intelligent lock by taking the intelligent key as a certificate with a unique identifier; an opening / closing operation event is recorded through the intelligent lock, an abnormal state is monitored through the integrated sensor module, and early warning information is reported; various event information from the devices is received and integrated through the central management platform, a lockset event ledger is automatically generated, and a traceable complete event chain is constructed. The invention further comprises an intelligent sample delivery linkage system which is used for recording a sample delivery event and reporting the sample delivery event to the platform. According to the invention, digitization, automation and whole-course traceability of the quality inspection lock management process are realized, the data accuracy, the management efficiency and the safety are remarkably improved, and a responsibility tracing mechanism is strengthened.

The invention relates to the technical field of attendance data security management, in particular to a smart office data security management system, which comprises a time calibration unit, a dual verification unit, an exception handling unit and a security storage unit, and is characterized in that the time calibration unit is connected with an authoritative time server through a special time service protocol; the method comprises the following steps: calculating a deviation with a local clock in real time, automatically carrying out silent calibration when a threshold value is exceeded, encrypting and storing a calibration log in a block chain node, synchronously collecting original and standard timestamps during card punching by a dual verification unit, generating an associated data packet, analyzing timestamp conflicts by an exception handling unit through a multi-source evidence decision tree, activating a data compensation mechanism to generate an effective record, and checking the effective record. The safety storage unit encrypts and stores attendance data in a fragmented mode, directional statistics of personnel departments is achieved through zero-knowledge proof, the system solves the problems of attendance time drift, abnormal disputes and data safety, and attendance credibility and compliance are improved.

A system and a method for judging at least one competitor as he crosses a judging line, such as a finishing line (50), of given width, the system comprising at least one camera (10, 20) for taking photo-finish images, disposed aligned with the judging line, the system including at least one video camera (30) disposed above the judging line.

The invention relates to the technical field of vehicle driving behavior quantitative evaluation, in particular to a vehicle drifting behavior real-time evaluation method and device based on GPS-INS equipment and a medium. Respectively designing a scoring mechanism, wherein an extra scoring region is quantized and scored from four dimensions of speed, angle, distance and area; a common area adopts a score deduction system, scores are deducted according to the slip angle stability, the average value, the speed and the out-of-bound condition, and finally the total score is calculated. According to the method, accurate quantitative evaluation of the drift action can be realized through GPS-INS fusion data, score fluctuation caused by judgment experience difference is eliminated, millisecond-level real-time feedback and cloud visualization are supported, and competition fairness and ornamental value are remarkably improved.

In some examples, a system includes an article of personal protective equipment (PPE) that includes a communication component; an industrial controller device that is configured to control an industrial device and includes a communication component; and a computing device communicatively coupled to the article of PPE and the industrial controller device, wherein the computing device is configured to: receive PPE data from the article of PPE and industrial controller data from the industrial controller device; determine, based at least in part on a set of the PPE data that temporally corresponds to a set of the industrial controller data, an occurrence of a safety event; and perform, based at least in part on the determination of the safety event, at least one operation.

The embodiment of the invention provides an identity authentication method and device and a module, relates to the technical field of image processing, is applied to a processor in the identity authentication module, and comprises the following steps: identifying a first feature region in a first image acquired by an image acquisition component; if the first type of the biological features to be extracted in the first feature region is inconsistent with the second type corresponding to the loaded image processing parameters in the second memory, and the first type is a registered type, loading the image processing parameters corresponding to the first type from the first memory to the second memory, image processing parameters corresponding to the second type in the second memory are replaced; performing image processing on the first feature region based on the image processing parameters loaded in the second memory, and extracting a first biological feature of the processed first feature region; and performing identity authentication based on the first biological feature and the reference biological feature of the first type. By applying the scheme provided by the embodiment of the invention, the hardware cost of identity recognition can be reduced.

The invention discloses a multifunctional pre-post health detection system, and the system comprises a pre-post health data collection module which is used for collecting pre-post body index data of employees whose identities are successfully verified, and uploading the body index data to a cloud service platform; the attendance checking and card punching module is used for pre-post attendance checking and card punching of the employees and uploading attendance checking information to the cloud service platform; the cloud service platform comprises a cloud database and a cloud computing analysis module; the cloud database is used for storing body indexes and attendance checking information, and the cloud computing analysis module is used for judging whether the body indexes and the attendance checking information are abnormal or not, performing classified statistics on abnormal results, the body indexes and the attendance checking information and then sending the abnormal results, the body indexes and the attendance checking information to a user side with permission; and the communication module is used for communication between the cloud service platform and the pre-post health data acquisition module, the attendance checking and card punching module and the user side. According to the invention, health detection and attendance card punching can be completed in a one-stop manner, and timely feedback and reporting of unqualified employee conditions are realized.

The invention relates to the technical field of intelligent construction sites, in particular to an intelligent inspection method, device and system for an intelligent construction site based on a space-time diagram convolutional network, and a storage medium, and the method comprises the steps: installing video collection equipment at a construction site, and carrying out the image data collection of construction activities, equipment and stockpile of each region of the construction site; modeling the constructor behavior prediction model, and predicting the flow trend and density of constructors in each region by integrating the construction site construction layout and construction information; processing the acquired image information of each construction area by using an image recognition technology, and recognizing the type, density and related distribution position of equipment; the construction site environment information is fused, the estimated inspection time of each construction area is evaluated, and the relation between the construction equipment density and the inspection time is analyzed; and determining the guarantee range of the spare part maintenance points according to the analysis result of the construction equipment, and adjusting and optimizing the number distribution of the spare part maintenance points according to the utilization efficiency of the existing spare part maintenance points, the flow of construction personnel and the area of the construction region. A reinforcement learning technology is used to optimize inspection roads of inspection personnel, and based on construction personnel flow trend prediction and construction equipment quantity analysis, routing inspection is arranged preferentially in a route of high-utilization-rate equipment and a time period with less construction operation, so that fault hidden dangers are found in time, and the influence on normal construction operation is reduced; and the execution condition of the inspection task is monitored in real time, and the inspection efficiency and the fault risk early warning level are evaluated in combination with the condition fed back by the inspection personnel.

The invention discloses an internet-of-things campus supervision and management security system. The system comprises a sensing layer, a transmission layer, a processing layer and an application layer. The sensing layer collects campus data through a camera and various sensors; the transmission layer transmits data in a wireless and wired combined mode; the processing layer analyzes data by using big data and artificial intelligence technologies; and the application layer provides multi-user service. The system is provided with a personnel management module, an equipment and facility management module, an environment monitoring module, a safety early warning module, an emergency command module and the like. The functions of personnel identity recognition and trajectory tracking, equipment state monitoring and repair management, environmental parameter monitoring and regulation, abnormal behavior and potential safety hazard early warning, emergency resource optimization and allocation and the like are realized. The campus safety management efficiency is effectively improved, the monitoring comprehensiveness and the early warning accuracy are enhanced, the emergency management system is perfected, and the campus safety is guaranteed.