100 results about "Boundary crossing" patented technology

An apparatus and method provide simultaneous local and global addressing capabilities in a computer system. A global address space is defined that may be accessed by all processes. In addition, each process has a local address space that is local (and therefore available) only to that process. An address space processor is implemented in software to perform system functions that distinguish between local addresses and global addresses. In the preferred embodiments, the local address space has a size that is a multiple of the size of a segment of global address space. When the hardware indicates a page fault, the address space processor determines whether the address being translated is a local address or a global address. If the address is a local address, the address space processor uses a local directory to process the page fault. If the address is a global address, the address space processor uses a global directory to process the page fault. When the hardware indicates an addressing error because a computed address crosses a global segment boundary, the address space processor determines whether the address is a local address or a global address. If the address is a global address, the address space processor indicates an addressing error. If the address is a local address, the address space processor determines whether the address is within the process' local address space, and indicates an addressing error if the address is outside the process' local address space. Instructions are allowed to operate on both local and global addresses because the address space processor handles either type of address whenever software assistance is required, such as for servicing a page fault or checking a segment boundary crossing. In addition, the address space processor dynamically checks the addressing compatibility of called code before passing control to the called code.

The present invention provides a system for monitoring and tracking transporting units. The system utilizes a monitoring device fitted to a transporting unit to collect data pertaining to the transporting unit and transferring the data along with a unique ID for monitoring device it to a reader device for a particular geographical area. Each reader device for a geographical area transfers data collected for a plurality of monitoring devices in its geographical area to a centralized server. The server stores the data in a database. The data server uses algorithms to calculate positions of transporting units, load managing for the reader devices, boundary crossing occurrences by a transporting unit, triggering alarm and/or locking wheels for the transporting unit when the device is out-of-range or stolen, and for searching the transporting unit. A user can view the data stored, data computed via. Algorithms and alerts are generated by the data server.

The invention relates to a motion-sensing technology based kindergarten intelligent monitoring method, which comprises the steps of installing 3D motion-sensing equipment in a kindergarten, capturing 3D human body skeleton images of children in real time, extracting key joint feature vectors, inputting the feature vectors into a motion classifier so as to carry out motion classification, and finding out motions with the highest matching degree, wherein motion classification is trained in advance through a machine learning method. The method provided by the invention can realize detection, analysis and tracking for human body motion postures and figure motion trails through a three-dimensional visual perception technology, and motions of the children are captured dynamically in real time, so that dangerous behaviors such as fighting, tumbling and boundary crossing can be predicted, and a warning is given out in advance so as to reduce occurrence of kindergarten accidents.

The invention discloses a border-crossing detection method and a border-crossing monitoring system based on video monitoring. The border-crossing detection method comprises the following steps: obtaining a closed boundary line and a safe passage line according to an endpoint of the top safe passage line of a boundary line set by a user; obtaining a tracking region through expansion and reduction of the closed boundary line; detecting a moving object of each frame of video monitoring image, to screen out a moving object region in the tracking region; performing matching tracking on the screened moving object region and a tracking object, to obtain a coordinate queue of the tracking object; performing object behavior analysis on the tracking object; judging whether a border-crossing risk exists; if no border-crossing risk exists, doing nothing; if a great border-crossing risk exists, warning; otherwise, judging whether an early warning for the current abnormal situation is required according to a security identifier; when warning or early warning, marking a target track according to the target coordinate queue. According to the invention, the border-crossing detection is performed according to the set boundary, the border-crossing detection for large regions and complex sites can be implemented, and the scope of application is wide.

The invention relates to a GIS-based smart city management special vehicle monitoring system, which takes an LBS system as a framework and a browser as a display platform. The system comprises a real-time monitoring service module, which provides positioning parameters for a historical track service module and a work and rest monitoring service module; the historical track service module, which can present the historical driving tracks of special vehicles on a digital map; a statistical analysis module, which can search historical boundary-crossing information of the special vehicles; and an electronic fence service module, which can carry out driving restriction on the special vehicles in some area, and can manage the special vehicles conveniently. The GIS-based smart city management special vehicle monitoring system realizes real-time monitoring of the special vehicles, facilitates to carry out basic data monitoring and command and dispatch on the special vehicles during city management, can present and display the historical driving tracks of the special vehicles, can trigger an alarm when the special vehicles cross boundaries, and can improve level of informatization of a supervision department and reduce management cost.

The embodiments of the application disclose an alarm method and device for illegal boundary crossing based on video monitoring. The method and the device are used to make a real-time, accurate and automatic analysis of vide pictures and automatically give an alarm for potential safety risks, so as to reduce potential safety hazard and avoid disasters. The method disclosed by one embodiment of theapplication includes the following steps: acquiring a video monitoring image of a target area; when detecting a target person in the video monitoring image, setting a pedestrian detection box around the target person in the video monitoring image; determining whether the boundary line of a preset warning area in the video monitoring image coincides with the pedestrian detection box; and if the pedestrian detection box coincides with the boundary line, giving an alarm.

The embodiment of the invention discloses an early warning method and a camera. The early warning method and the camera solve the problem that the boundary crossing time cannot be early warned by the camera. According to the early warning method and the camera, the method comprises the following steps: extracting all foreground blocks in a t-th frame image by utilizing a background model constructed with a pixel-based random sampling conserved modeling method by the camera, and judging whether target foreground blocks are contained in all the foreground blocks by utilizing a preset cascade classification model, if the target foreground blocks are contained in all the foreground blocks, predicting the action orientation of the target foreground blocks by utilizing the target search model based on a histogram intersection kernel (HIK) matching algorithm, if the action orientation of the determined target foreground blocks point to a warning region, sending an early warning alarm to a monitoring station by the camera. By predicting the action orientation of the target foreground blocks, real-time tracking of the target foreground blocks can be effectively realized, and early warning can be effectively performed.

The invention discloses a cleaning robot and a block selection method and a block selection device for the cleaning robot. The block selection method includes judging whether the walking path of the cleaning robot exceeds the boundary of the current effective block or not when the cleaning robot walks along the boundary of the current effective block; if so, then determining the position out of the boundary of the current effective block as a boundary-crossing position according to the judgement result, and recording boundary-crossing block information containing the boundary-crossing positionto a preset boundary-crossing linked list; after finishing cleaning of the current effective block, acquiring one boundary-crossing information from the boundary-crossing linked list, and judging whether the block corresponding to the boundary-crossing block information is cleaned or not according to the boundary-crossing position contained in the boundary-crossing block information; if no, thendetermining the block corresponding to the boundary-crossing block information as the next effective block. By the method, repeated cleaning of the block can be avoided, cleaning efficiency can be improved, omission of cleaning of the block can be avoided, and cleaning quality can be guaranteed.

A method of manufacturing a liquid crystal display panel is provided, which includes: coating a negative organic photoresist on a substrate; performing divisional light exposure with a plurality of shots including first and second shots adjacent to each other; and developing the photoresist to form a light blocking member having a plurality of openings, wherein the first and the second shots have a boundary crossing the openings.

Correction of glitches output from a delta-sigma modulator is accomplished using an integer boundary crossing detector and a FIR filter. The detector monitors a portion of an input to the modulator. The detector recognizes a transition from an all 1's bit pattern to an all 0's bit pattern or vice versa as representative of potential for a glitch to be present on the output of the modulator. The detector responsively generates condition detection output. Receipt of such condition detection output triggers the generation of a correction signal by the filter. The correction signal is, at least substantially similar, in magnitude but opposite in sign from to the expected glitch at the output of the modulator. The correction signal is added to the output of the modulator to substantially eliminate the glitch.

The invention discloses a method of determining whether dynamic position of a monitoring terminal exceeds a virtual fence. The method of determining whether dynamic position of a monitoring terminal exceeds a virtual fence establishes a virtual fence by means of a virtual fence defining module in a virtual fence early warning system, and utilizes the monitoring terminal in the virtual fence earlywarning system to obtain the dynamic positional information of the monitoring terminal. The method of determining whether dynamic position of a monitoring terminal exceeds a virtual fence includes thesteps: when the virtual fence is a closed figure which is formed through enclosure of parallel edges, and when the virtual fence is a closed figure which is formed through enclosure of curves, and when the virtual fence is a non-closed figure, respectively performing the corresponding judgment of boundary crossing, thus solving the problem that the prior art cannot judge whether the dynamic position of the monitoring terminal exceeds the virtual fence, and realizing the technical effect of being able to accurately judge whether the dynamic position of the monitoring terminal exceeds the virtual fence.

The invention discloses a texture/depth combination up-sampling method. A boundary can be well protected, coding efficiency is improved, and the synthesis quality of a virtual view is improved. The method comprises the steps that (a) the boundary of a low-resolution depth image and a high-resolution texture image is identified at a decoding end, and the whole low-resolution depth image is divided into three parts, namely a horizontal boundary, a vertical boundary and a non-boundary zone; and (b) the structure similarity of the low-resolution depth image and a high-resolution depth image and the boundary similarity of the depth images and corresponding texture images are used, and according to the fact that depth values in the boundary direction are partially even and depth values in the boundary-crossing direction can change suddenly and severely, a high-resolution depth image is reestablished.

The embodiment of the invention provides a detection method and system for a boundary-crossing person invading to a yellow line of a platform. The method comprises the steps of acquiring a platform detection video image, and determining a yellow line warning region and a yellow line boundary position in the platform detection video image; acquiring a target pedestrian position in the yellow line warning region, and starting an invasion boundary-crossing warning if a distance between the target pedestrian position and the yellow line boundary position is larger than a first preset distance; andstarting wandering warning tracing if the distance between the pedestrian position and the yellow line boundary position is between the first preset distance and a second preset distance and stay time exceeds first preset time. With the detection method and system for the boundary-crossing person invading to the yellow line of the platform, provided by the embodiment of the invention, and a trainis guaranteed to enter a station safely; and meanwhile, accurate positioning and real-time tracing of a suspicious person in the yellow line warning region can be achieved, the automatic level of thestation is improved, and the operation efficiency of a relevant worker of the station is improved.

The invention relates to a distributed space-time correlation model trajectory tracking method based on statistical inference. Beacon nodes are deployed in the shape of an equidistant grid in a locating space according to longitudinal and transverse directions, and beacon node information is saved in each unknown node; the beacon nodes receiving notification information transmitted by the unknown nodes emit locating signals at a fixed frequency, and the unknown nodes receive and form multiple time sequences according to the beacon nodes; each unknown node constructs a boundary time sequence to detect a boundary crossing event and determine a corresponding time point; each unknown node constructs regional time window statistical quantity and infers the current region; the position of the intersection points of the trajectories and the boundary is inferred; and the trajectories are formed and the result is uploaded to aggregation nodes. According to the method, RSSI locating information probability distribution characteristics in the trajectory tracking problem and space-time data mining are overall considered, and the boundary crossing event and regional information are discovered through the method of time-space information statistical inference so that trajectory tracking can be realized.

The invention discloses a transformer substation reconstruction and extension violation behavior intelligent identification method based on meta-learning, and the method comprises the steps: firstly, collecting a picture, constructing a difficult sample, completing the marking of a scene, forming a small sample data set, pre-training a YOLOv5 model on an ImageNet data set through employing a meta-learning method, and carrying out the fine adjustment on the collected small sample data set, and obtaining a final YOLOv5 model; secondly, deploying the trained YOLOv5 model to a mobile terminal, and completing the recognition of detection objects such as operating personnel, construction equipment, power transmission and transformation equipment and the like; and finally, setting a virtual electronic fence in a self-adaptive manner according to construction operation requirements, and carrying out intelligent recognition and alarm on boundary-crossing violation behaviors of personnel and machines based on the set virtual fence. The method is different from traditional physical fence and other types of virtual electronic fence technologies, not only can ground violation behaviors be effectively identified, but also high-altitude border-crossing violation behaviors can be identified, and the method is flexible in deployment, simple in operation, high in real-time performance and good in reusability.

The invention discloses a method for determining storage states of solid waste and hazardous waste by using video analysis. The method comprises the following steps: analyzing a video of a solid waste and hazardous waste storage site in real time, once abandoned materials are stored outside the stacking area, comparing the abandoned materials with the hazardous waste in the stacking area to generate alarm information, and carrying out intervention on the abnormity through workers; detecting hazardous waste transfer behaviors in the stacking area, once a transfer behavior occurs, recording the transfer time and immediately giving a transfer signal so that the monitoring personnel can check and monitor the transfer behavior; and carrying out boundary detection on the stacking area, and once the stacking crosses the boundary, generating a boundary crossing signal to prompt that the hazardous waste needs to be transferred.

The invention discloses a rapid positioning method of internal storage boundary crossing errors of an embedded system, which comprises the following steps of: monitoring several boundary crossing use internal storage areas through the programmable logic device, and producing interruption when the boundary crossing use internal storage areas are visited, wherein the internal storage areas are configured on a programmable logic device; querying the executing current task before interruption through a central processing unit (CPU), and obtaining a function for visiting the boundary crossing use internal storage areas; and determining whether the function causes the internal storage boundary crossing or not according to a legal visit task set and a legal visit function set configured on the programmable logic device, and outputting the task of the function causing the internal storage boundary crossing and an instruction address. The rapid positioning method can fast determine the task which causes the internal storage boundary crossing errors and the specific function which is directly called by the task to cause the internal storage boundary crossing errors, therefore, the time for troubleshooting the concealed errors of the embedded system can be reduced, and the efficiency of the system debugging can be improved.

The invention discloses a monitoring and early warning method and a system for preventing boundary-crossing illegal mining in a mining area. The system comprises a seismometer, a data acquisition module, a main control module, a transmission module, a GPS module, a power supply module, an IC card module, an electronic lock, a lightning protection device, a management system and a user terminal. According to the method, the blasting point shock wave information uploaded by the monitoring points is analyzed and processed through the management system; the actual geographical coordinates of the blasting point can be accurately calculated by processing the integrity and effectiveness of the information, the detection range is wide, the actual geographical coordinates are compared with the mining range approved by the mining area for judgment, whether boundary-crossing illegal mining behaviors exist can be effectively judged, and the safety of the mining area is protected.

The invention relates to a method and a system for realizing real-time automatic identification of a virtual boundary. The method comprises the steps of acquiring a boundary coordinate point of a border line of a movable area; performing real-time calculation on a coordinate point of a moving point in motion in the movable area; judging whether the calculated coordinate point of the moving point in motion in the movable area is superposed with a boundary coordinate point; and on the condition that the coordinate point of the moving point in motion in the movable area is superposed with the boundary coordinate point, transmitting a boundary crossing alarm to the moving point. The system comprises a boundary module, a calculation module, a judging module and an alarm module. The method and the system can perform effective management on a pet and prevent an accident which is caused by motion range exceeding of the pet.

The invention provides a card returning method, a card returning terminal, a mobile network operation terminal and a refunding terminal. The card returning method includes the steps that a card returning application of a user is received, wherein the card returning application comprises identity identifying information of the user; the identity identifying information of the user and the state information of a card are verified; according to the verified result, a refunding request is sent, refunding result information is received, and the state information of the card is updated. According tothe card returning method, the identity identifying information of the card-returning user is verified by integrating the mobile network operation terminal and the refunding terminal in a boundary-crossing mode, and automatic card returning and automatic refunding are completed online through a mobile terminal and a refunding terminal; the user returns cards without going up to specific sites, online operation is carried out only through the mobile terminal, card returning can be achieved, card returning operation of the user is greatly convenient accordingly, and card returning experiences of the user are improved.

An electrical time measuring device, intended to conserve processor cycles and memory when used in indicating time interval durations, includes a computer system with a processing system having a hardware processor and a memory accessible to the processing system, a user interface controller under control of the processing system, and logic, under control of the processing system. Various embodiments include nested concentric regions in a clockface display, an ante meridiem events region, a post meridiem events region, and/or a following-day events or tasks region. Events or time interval durations are represented as arciform. For events that cross from morning to afternoon, or from evening to the following day, arciforms are displayed with a start point in one of the nested concentric regions and an end point in a different one of the nested concentric regions. The parts of such arciforms are joined by an integral boundary-crossing transition indicator.