Spatial Phase Imaging for Real-Time 3D AI Data Processing
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Solution Overview
Problem
Conventional imaging systems are inadequate for generating real-time 3D images or angle representations in incoherent electromagnetic environments, such as those with mist, fog, or smoke, and fail to provide suitable 3D data in turbid media.
Innovation Solution
The implementation of spatial phase imaging (SPI) systems that capture and process 3D data using electromagnetic radiation, employing image sensors and edge processors to generate first- and second-order primitives, enabling real-time 3D data analysis and generation of pXSurface and pXShape representations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional imaging systems are used, then intensity-based detection is achieved, but real-time 3D image generation and angle representation are not suitable
Solution Approach 1:
The patent replaces conventional intensity-based imaging systems with spatial phase imaging systems that use electromagnetic radiation to capture 3D data. This substitution enables real-time 3D image generation and angle representation by fundamentally changing the detection mechanism from intensity measurement to spatial phase measurement, resolving the contradiction between measurement precision and productivity
Solution Approach 2:
The patent transitions from 2D intensity images to 3D spatial phase data by adding the dimension of spatial phase information. This dimensional change allows simultaneous capture of amplitude and phase data, enabling real-time 3D reconstruction and angle representation while maintaining high measurement precision
2Reliability
If conventional imaging systems are used, then intensity detection is achieved, but performance in incoherent electromagnetic environments (mist, fog, smoke) deteriorates
Solution Approach 1:
The patent changes the detection parameter from intensity to spatial phase of electromagnetic radiation. Spatial phase information is less susceptible to scattering and absorption effects in turbid media like mist, fog, and smoke, thereby maintaining reliability in environments where conventional intensity-based systems fail
Solution Approach 2:
The patent uses spatial phase information as an intermediary that can penetrate incoherent electromagnetic environments more effectively. The spatial phase acts as a mediator that carries object information through turbid media without being severely degraded by environmental interference
Data Source
AI summary
In a general aspect, enhancement of artificial intelligence algorithms using 3D data is described. In some aspects, input data of an object is stored in a storage engine of a system. The input data includes first-order primitives and second-order primitives. A plurality of features of the object is determined by operation of an analytics engine of the system, based on the first-order primitives and the second-order primitives. A tensor field is generated by operation of the analytics engine of the system. The tensor field includes an attribute set, which includes one or more attributes selected from the first-order primitives, the second-order primitives, or the plurality of features. The tensor field is processed by operation of the analytics engine of the system according to a series of artificial intelligence algorithms to generate output data representing the object.