Image recognition device based on holographic phase plate

Through the preparation of the holographic phase plate, the problem of complex preparation of optical diffraction neural network structure and inability to be applied to the short wave band is solved, and a high-resolution and low-cost phase modulation layer is realized, which promotes the image recognition application of optical diffraction neural network in the short wave band.

CN119992030APending Publication Date: 2025-05-13SOUTHEAST UNIV
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Patent Information

Application Number
CN202411673176.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-21
Publication Date
2025-05-13

AI Technical Summary

Technical Problem

The existing optical diffraction neural network structure is complex to prepare and difficult to process, and the large structural size makes it impossible to apply to image recognition in short-wave bands such as near-infrared and visible light.

Method used

The holographic phase plate is used to prepare the holographic phase plate by exposure means to achieve a high-resolution phase modulation layer structure, which is suitable for the preparation of optical diffraction neural networks.

Benefits of technology

It realizes the high-resolution phase modulation layer under low cost and low energy consumption, and promotes the image recognition application of optical diffraction neural networks in short-wave bands such as near-infrared and visible light.

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Abstract

The invention discloses an image recognition device based on a holographic phase plate. The image recognition device comprises an incident light source module, a light field modulation module and a detector module. Holographic phase plates are arranged at equal intervals to form a light field modulation module, an image recognition task in a light domain is achieved, and the advantages of being high in operation speed, low in energy consumption and the like are achieved. According to the holographic phase plate, a holographic processing means is adopted, the steps are simple, the cost is low, the problems that a phase modulation layer of an existing optical diffraction neural network is complex in preparation and high in cost can be solved, a high-resolution phase modulation layer structure can be achieved under a high-resolution exposure system, and the application range is wide. And near-infrared, visible light and other short wave band image identification can be further realized.
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