Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

350 results about "Metadata analysis" patented technology

Meta-analysis is the statistical procedure for combining data from multiple studies. When the treatment effect (or effect size) is consistent from one study to the next, meta-analysis can be used to identify this common effect. When the effect varies from one study to the next, meta-analysis may be used to identify the reason for the variation.

Rail transit fault diagnosis method and system based on decision-making tree

The invention relates to a rail transit fault diagnosis method and system based on a decision-making tree. The method includes the steps of firstly, determining various fault modes and various monitoring quantities of a rail transit device by analyzing a circuit and a mechanical structure model of the rail transit device; secondly, obtaining standard fault sample data according to various historical monitoring quantities of the rail transit device, then, analyzing the standard fault sample data through the decision-making tree generating algorithm, and conducting construction to obtain the decision-making tree of a fault; thirdly, collecting the various real-time monitoring quantities of the rail transit device, taking the decision-making tree as a classification model of the fault modes to conduct classification, and thereby determining the type of the fault. The system comprises a data collection device, a database unit, a data analysis unit and a knowledge base unit. The method and the device solve the technical problems that in the prior art, when the rail signal system fault is manually diagnosed, workloads are large, efficiency is low and the risks are high, and efficiency and accuracy of rail transit data analysis and fault diagnosis are improved.
Owner:BEIJING TAILEDE INFORMATION TECH

Systems and methods for analyzing trends in video consumption based on embedded video metadata

Systems and methods are described for analyzing video content in conjunction with historical video consumption data, and identifying and generating relationships, rules, and correlations between the video content and viewer behavior. According to one aspect, a system receives video consumption data associated with one or more output states for one or more videos. The output states generally comprise tracked and recorded viewer behaviors during videos such as pausing, rewinding, fast-forwarding, clicking on an advertisement (for Internet videos), and other similar actions. Next, the system receives metadata associated with the content of one or more videos. The metadata is associated with video content such as actors, places, objects, dialogue, etc. The system then analyzes the received video consumption data and metadata via a multivariate analysis engine to generate an output analysis of the data. The output may be a scatter plot, chart, list, or other similar type of output that is used to identify patterns associated with the metadata and the one or more output states. Finally, the system generates one or more rules incorporating the identified patterns, wherein the one or more rules define relationships between the video content (i.e. metadata) and viewer behavior (i.e. output states).
Owner:TIVO SOLUTIONS INC

Intelligent elderly care monitoring and early warning system based on digital twinning technology

The invention provides an intelligent elderly care monitoring and early warning system based on a digital twinning technology. The invention relates to the field of intelligent elderly care. The system comprises a physical space unit, a data acquisition and recognition unit, a data analysis unit, a virtual space unit and a risk early warning unit. The physical space unit comprises a plurality of distributed physical scenes. The data acquisition and recognition unit comprises a data monitoring module, a face recognition module and a human body behavior recognition module. The virtual space unitdisplays the physical model state of the elderly in a scene in real time at the cloud through a three-dimensional visualization engine. The system aims at communities and home-based care physical environment places, visual display is carried out on actions and movement tracks of falling, sedentariness, squatting, buttress and the like of the elderly, alarm and early warning are carried out on theabnormal high-risk state of the elderly, virtual-real mapping and deep-level information physical fusion of the elderly care scene are realized, and thus the fine management level of communities andhouseholds is improved.
Owner:上海中侨健康智能科技有限公司

Unmanned aerial vehicle automatic barrier avoidance system and method based on two-dimension laser radar

The invention discloses an unmanned aerial vehicle automatic barrier avoidance system based on a two-dimension laser radar. The system comprises a data acquisition module, a data fusion processing module and a barrier avoidance control module. The data acquisition module comprises a laser radar unit, a camera unit, a positioning unit and a flight condition monitoring unit. The data fusion processing module comprises a data fusion processing unit, an SLAM operation unit, a data analysis unit and a barrier avoidance command generating unit. The barrier avoidance control module comprises a route planning unit and a barrier avoidance command execution unit. The automatic barrier avoidance method comprises the steps that the data acquisition module acquires unmanned aerial vehicle real-time data in real time and transmits the data to the data fusion processing module; the data fusion processing module constructs a real-time virtual three-dimensional scene according to the real-time data; data analysis is carried out according to the constructed real-time virtual three-dimensional scene; a barrier avoidance command is generated and sent to the barrier avoidance control module; and route re-planning and barrier avoidance control are carried out according to the received barrier avoidance command to realize automatic barrier avoidance of an unmanned aerial vehicle.
Owner:成都希德电子信息技术有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products