Zhihui Yunzhou's integrated vision and computing technology creates "location intelligence"
2024-08-11
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Location intelligence is location (Location) + artificial intelligence (AI), referred to as LI or location intelligence. It highlights the full-scene data intelligent analysis application based on time + space location. It is a secondary analysis based on the results of picture intelligent analysis and combined with scene data, which is a supplement and extension of artificial intelligence.
Developed by the Zhihui Yunzhou team, it uses "visual computing integration" as its core technology to create“Position intelligence". Visual and computing integration is the basic capability of video twins. It is based on LI position intelligence to perform real-time data calculation of all elements across lenses, scenes, and platforms. By combining scene requirements, all elements such as objects, locations, alarm information, video images, scene features, etc. are presented in three dimensions on a single map, thereby achieving the unification of time and space of all element data of the scene, supporting the integrated relationship analysis, linkage analysis, trend analysis, simulation deduction and other applications of video twins from seeing to computing.
According to the Zhihui Yunzhou team,“The application value of "location intelligence" is many:
Video twin + location intelligence, born for applications
1) Relying on the natural geographic coordinate advantages of Shuangzhou geographic information engine,IntuitiveThe Problem
It achieves the matching of video images, intelligent analysis data, IoT perception and other data with the spatial location of three-dimensional geographic scenes, that is, integrating geographic information with business data, and using visualization technology to intuitively present "where" questions, so that what you see is what you get.
2) Based on a unified spatiotemporal benchmark, the data of all scenes are analyzed uniformly to solveUnified calculationThe Problem
By using time + space position, the content in the video screen and the full-factor content in the three-dimensional scene are connected. The scattered videos, independent video analysis, and massive perception data are analyzed in a unified manner across videos, across visual domains, and across time in combination with business logic, truly outputting integrated mining and analysis of all spatial elements, and achieving unified perception of macro scenes and detailed events.
3. Application scenarios
Location intelligence first combines location information with data information to visualize business data space. At the same time, based on business needs, it combines relevant data, business services and professional experience to provide users with integrated analysis results of full-scene information, achieve measurement, comparison, visualization, analysis, and make predictions and take actions to assist in making intuitive and quick decisions.
For example, when browsing scenes, the video list automatically filters and matches the number of videos in the current viewing angle range;
For example, when the dome camera is linked, click the scene position to automatically filter and trigger the dome camera that can be covered to track the picture;
For example, in prison cases, alarm events are automatically associated with video images, video behavior analysis, personnel location information, etc., to perform unified analysis and presentation of multiple business data;
For example, in traffic cases, the vehicle recognition results in the video are directly twinned to the road to achieve traffic simulation reproduction of real-time vehicle data, fill in the blind spots of the video, and realize real-time scene control and event analysis of multiple vehicle information in the entire traffic road scene.
