Spatial Phase Imaging Data Management for Real-Time 3D Reconstruction
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Solution Overview
Problem
Conventional imaging systems are inadequate for generating 3D images or representing object shapes and scenes in real-time, especially in incoherent electromagnetic environments or turbid media.
Innovation Solution
A data management system for spatial phase imaging (SPI) that captures and processes 3D data at the pixel level across the electromagnetic spectrum, using a combination of single-lens and wafer-level SPI systems, image sensors, and edge processors to generate 3D surface and shape data, and apply AI for real-time analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional intensity-based imaging systems are used, then the system structure is simple, but the ability to generate 3D images and represent object shapes in real-time is insufficient
Solution Approach 1:
The patent transitions from conventional 2D intensity-based imaging to 3D spatial phase imaging by capturing spatial phase information in the third dimension. The imaging system uses spatial light modulators and interference patterns to encode depth and shape information, enabling real-time 3D reconstruction of objects and scenes without significantly increasing system complexity.
2Device complexity
If conventional imaging systems are used, then the device complexity is low, but the performance in incoherent electromagnetic environments or turbid media is inadequate
Solution Approach 1:
The patent changes the imaging parameter from intensity detection to spatial phase detection. By measuring spatial phase variations of electromagnetic waves, the system can penetrate and image through turbid media and incoherent environments where conventional intensity-based systems fail, as phase information remains preserved even when intensity is scattered or absorbed.
3Loss of information
If spatial phase imaging systems are implemented to capture 3D data, then the information richness and resolution of 3D representations are improved, but the data processing complexity increases
Solution Approach 1:
The patent performs preliminary processing of spatial phase data at the pixel level using edge processors integrated into the imaging system. By pre-processing and filtering spatial phase information before full 3D reconstruction, the system reduces the computational burden on central processors while maintaining high information content in the final 3D representations.
Data Source
AI summary
In a general aspect, a data management system for spatial phase imaging is described. A data management system for spatial phase imaging includes: a storage engine configured to receive and store input data in a record format, the input data including: pixel-level first-order primitives generated based on electromagnetic (EM) radiation received from an object located in a field-of-view of an image sensor device; and pixel-level second-order primitives generated based on the first-order primitives. The data management system further includes: an analytics engine configured to determine a plurality of features of the object based on the pixel-level first-order primitives and the pixel-level second-order primitives; and an access engine configured to provide a user access to the plurality of features of the object determined by the analytics engine and to the input data stored by the storage engine.