Ultra-fast all-optical intelligent sensing calculation chip system and architecture

Abstract

The invention relates to the technical field of optical computing, in particular to an ultrafast all-optical intelligent sensing and computing chip system and architecture. The system comprises an all-optical parallel computing array chip and a demultiplexing device, the chip comprises a plurality of micro lenses, a plurality of resonant rings and a bus waveguide, and the micro lenses are used for acquiring natural light of a first image in a target area where the micro lenses are located; the plurality of resonant rings are connected with the plurality of microlens arrays and are used for acquiring light focused by the corresponding microlenses and performing coherent combination on the light and light propagating in the bus waveguide to modulate the light propagating in the bus waveguide and obtain a first modulation result; the bus waveguide connects the plurality of resonant rings in series and is used for acquiring incident light, propagating the incident light in the plurality of resonant rings and combining the first modulation result to obtain an output light result; and the demultiplexing device is connected with the all-optical parallel computing array chip and is used for determining a classification result of the first image based on the output light result. According to the invention, parallel processing of multiple features is realized, and the image recognition efficiency is improved.

Description

Technical Field

[0001] The present disclosure relates to the field of optical computing technology, and in particular to an ultrafast all-optical intelligent sensing and computing chip system and architecture. Background Art

[0002] With the rapid development of artificial intelligence and scientific computing, the complexity and scale of computing needs are also increasing. However, the performance of existing electronic circuits has reached saturation, limiting the potential to significantly improve signal processing speed and energy efficiency. Light has the advantages of high throughput and low latency during propagation. Based on this, performing image processing in parallel in the optical domain is seen as the key to breaking the bottleneck of existing electronic circuits. Summary of the invention

[0003] The present disclosure aims to solve one of the technical problems in the related art at least to some extent.

[0004] To this end, the first objective of the present disclosure is to propose an ultrafast all-optical intelligent sensing and computing chip system.

[0005] The second objective of the present disclosure is to propose an image classification method for an ultrafast all-optical intelligent sensing and computing chip system.

[0006] To achieve the above-mentioned purpose, the first embodiment of the present disclosure proposes an ultrafast all-optical intelligent sensing chip system, the system includes an all-optical parallel computing array chip and a demultiplexing device, the chip includes a plurality of microlenses, a plurality of resonant rings and a bus waveguide, wherein: The microlens is used to obtain natural light of a first image in a target area where the microlens is located; The multiple resonant rings are connected to the multiple microlens arrays, and are used to obtain the light focused by the corresponding microlenses, and coherently combine the light propagating in the bus waveguide to achieve modulation of the light propagating in the bus waveguide to obtain a first modulation result; The bus waveguide connects the multiple resonant rings in series, and is used to obtain incident light and propagate the incident light in the multiple resonant rings, and combine the first modulation results to obtain output light results; The demultiplexing device is connected to the all-optical parallel computing array chip and is used to determine the classification result of the first image based on the output light result.

[0007] Optionally, the plurality of microlenses are distributed in an array, and each microlens has a corresponding resonant ring.

[0008] Optionally, the resonant ring is a high-Q-value all-pass resonant ring; the step of acquiring the light focused by the corresponding microlens and modulating it with the light propagating in the bus waveguide to obtain a first modulation result includes: Acquiring light focused by the corresponding microlens, wherein the focused light is absorbed by the resonant ring silicon waveguide to generate photogenerated carriers; Based on the high Q value of the resonant ring and the refractive index of the photogenerated carriers, the light propagating in the bus waveguide is phase- and / or amplitude-modulated to obtain a first modulation result.

[0009] Optionally, the plurality of resonant rings are divided into different groups, and different groups of resonant rings correspond to different wavelengths of light in the bus waveguide.

[0010] Optionally, acquiring incident light and propagating the incident light in the plurality of resonant rings, and obtaining an output light result based on the first modulation result, includes: Acquire incident light and propagate the incident light in the plurality of resonant rings to obtain a first modulation result of each resonant ring; Based on the coherent combination of the incident light in the bus waveguide, a second modulation result of each group of resonant rings is obtained; Based on the second modulation result of each group of resonant rings, an output light result is obtained.

[0011] Optionally, determining a classification result of the first image based on the output light result includes: Based on the information intensity of different wavelength components in the output light result, the classification result of the first image is determined. Optionally, the system further includes an optical renderer, which is connected to the all-optical parallel computing array chip through an optical fiber, and is used to obtain the output light result, and perform all-optical reconstruction based on the output light result to obtain a second image in the target area.

[0012] Optionally, the optical renderer includes a blazed grating and a diffraction module; and performing full optical reconstruction based on the output light result to obtain a second image in the target area includes: Reflecting lights of different wavelengths in the output light result to different spatial positions by the blazed grating; The diffraction module diffracts the light at different spatial positions using a phase mask to obtain a second image in the target area.

[0013] To achieve the above-mentioned purpose, the second embodiment of the present disclosure proposes an image classification method using the ultrafast all-optical intelligent sensing chip system described in the first aspect, including: Acquire natural light and incident light of a first image in a target area; Inputting the natural light and the incident light into an ultrafast all-optical intelligent sensing chip to obtain an output light result; The output light result is input into a demultiplexing device to obtain a classification result of the first image.

[0014] Optionally, the method further comprises: The output light result is input into an optical renderer through an optical fiber to obtain a second image in the target area.

[0015] Another object of the present invention is to provide an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the methods described in the above two aspects.

[0016] Another object of the present invention is to provide a computer storage medium, wherein the computer storage medium stores computer executable instructions; after the computer executable instructions are executed by a processor, the computer executes the methods described in the above two aspects.

[0017] In summary, the ultrafast all-optical intelligent sensing chip system and architecture provided by the present disclosure processes spatial intensity images through all-optical parallel computing array chips and demultiplexing devices, making full use of coherence and interference effects to achieve parallel processing of multiple features, thereby improving image recognition efficiency. At the same time, the ultrafast all-optical intelligent sensing chip system can be applied to edge computing, intelligent robots and other fields, demonstrating the wide applicability of ultrafast all-optical intelligent sensing chips in modern technology.

[0018] Additional aspects and advantages of the present disclosure will be given in part in the following description and in part will be obvious from the following description or learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The above and / or additional aspects and advantages of the present disclosure will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which: Figure 1 A schematic diagram of the structure of an ultrafast all-optical intelligent sensing and computing chip system provided by an embodiment of the present disclosure; Figure 2 A schematic diagram of the structure of an ultrafast all-optical intelligent sensing and computing chip architecture provided by an embodiment of the present disclosure; Figure 3 A flowchart of a calculation method of an ultrafast all-optical intelligent sensing and computing chip system provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0020] Embodiments of the present disclosure are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, and should not be construed as limiting the present disclosure.

[0021] With the widespread deployment of sensing and computing modules at the edge of the Internet, image processing, transmission, and reconstruction are becoming increasingly important. Optics plays a key role in imaging, communication, and display, while digital CMOS electronics dominates the field of image sensing and processing. The development of optics and electronics has successfully improved their respective transmission bandwidths and processing speeds. However, the frame rate and energy efficiency of operations such as spatial image processing, transmission, and reconstruction are approaching their limits. The above challenges mainly come from two aspects: (1) The performance of electronic circuits is gradually saturated, limiting the potential for significantly improving signal processing speed and energy efficiency; (2) Image operations require frequent serial conversions between the electronic and optical domains during image sensing and transmission, which results in a lot of energy consumption and limits the frame rate of the above operations.

[0022] Among them, image processing can be performed in parallel in the optical domain to alleviate the bottleneck problem of integrated electronic circuits. In the prior art, spatial optical modulation elements can be used to pre-process images and input them into electronic systems for post-processing. However, existing photon calculation methods cannot directly process spatial intensity images.

[0023] In addition, smart sensors can be developed to transfer some digital operations to or near the sensor, without extracting the original image pixels, and only reading the valid data therein, including spatial image features and temporal dynamics, to reduce the bandwidth pressure between sensing and computing. Among them, the above sensors do not need to read out the original pixels, but because the current cannot be multiplexed, based on this, the output still needs to be read out sequentially, which limits the increase in sensing and processing frame rates, and the transmission and reconstruction operations need to go through EO (electrical / optical) / OE (optical / electrical) and DA (digital / analog) / AD (analog / analog) conversion, and the above conversion is limited by the current saturation of electronic circuit development.

[0024] In existing technologies, all-optical computing has the potential to address the bandwidth limitations inherent in optoelectronic hybrid processing, transmission, and reconstruction. However, in the above existing technologies, intensity image recording and image processing are separate. Although the effectiveness of optical computing has been proven, it is still challenging to directly process optical intensity input.

[0025] The present disclosure is described in detail below with reference to specific embodiments.

[0026] Figure 1This is a schematic diagram of the structure of an ultrafast all-optical intelligent sensing and computing chip system provided by an embodiment of the present disclosure. Figure 1 As shown, the ultrafast all-optical intelligent sensing chip system includes an all-optical parallel computing array chip (OPCA chip) and a demultiplexing device. The all-optical parallel computing array chip includes multiple microlenses, multiple resonant rings and bus waveguides, wherein: A microlens, used to obtain natural light of a first image in a target area where the microlens is located; The plurality of resonant rings are connected to the plurality of microlens arrays, and are used to obtain the light focused by the corresponding microlenses, and coherently combine the light propagating in the bus waveguide, so as to modulate the light propagating in the bus waveguide and obtain a first modulation result; The bus waveguide connects the multiple resonant rings in series, and is used to obtain incident light and propagate the incident light in the multiple resonant rings, and combine the first modulation results to obtain the output light result; The demultiplexing device is connected to the all-optical parallel computing array chip and is used to determine the classification result of the first image based on the output light result.

[0027] In one embodiment of the present disclosure, each of the microlenses includes a matching period and numerical aperture (NA), and the multiple microlenses are distributed in an array (e.g., 8×8), and each microlens has a corresponding resonant ring. The microlens array limits the input natural light field to the sensing area of ​​the resonant ring, and images the object onto the resonant ring array, so that the light in the target area is focused onto the resonant ring through the corresponding microlens.

[0028] Among them, in one embodiment of the present disclosure, the above-mentioned resonant ring is a high-Q all-pass resonant ring, and the multiple resonant rings are divided into different groups, and the resonant rings in different groups correspond to different wavelengths of light in the bus waveguide. In one embodiment of the present disclosure, the above-mentioned method of obtaining the light focused by the corresponding microlens and modulating it with the light propagating in the bus waveguide to obtain the first modulation result may include: obtaining the light focused by the corresponding microlens, and the focused light is absorbed by the resonant ring silicon waveguide to generate photogenerated carriers, and based on the high Q value of the resonant ring and the refractive index of the photogenerated carriers, the light propagating in the bus waveguide is phase-modulated and / or amplitude-modulated to obtain the first modulation result.

[0029] Specifically, in one embodiment of the present disclosure, based on the high Q value of the resonant ring, the refractive index change caused by the carriers is amplified, thereby phase and / or amplitude modulating the light propagating in the bus waveguide, and different resonators are biased to different resonant wavelengths.

[0030] And, in one embodiment of the present disclosure, the method of acquiring incident light and propagating the incident light in a plurality of resonant rings, and obtaining an output light result based on a first modulation result may include the following steps: Step 1, obtaining incident light and propagating the incident light in a plurality of resonant rings to obtain a first modulation result of each resonant ring; Step 2: based on the coherent combination of the incident light in the bus waveguide, a second modulation result of each group of resonant rings is obtained; Step 3: Based on the second modulation result of each group of resonant rings, an output light result is obtained.

[0031] Specifically, in one embodiment of the present disclosure, it is assumed that the resonant ring group A processes wavelength 1, and the resonant ring group A includes resonant ring 1 and resonant ring 2. Among them, when the resonant ring 1 receives ambient light with an intensity of 1, it modulates wavelength 1 by π, and when the resonant ring 2 receives ambient light with an intensity of 1, it modulates wavelength 1 by -π, then the phase of the wavelength 1 light in the bus waveguide passing through the resonant ring 1 and the resonant ring 2 remains unchanged; when the resonant ring 1 receives ambient light with an intensity of 1, it modulates wavelength 1 by π, and when the resonant ring 2 receives ambient light with an intensity of 0, it modulates wavelength 1 by 0, then the wavelength 1 light in the bus waveguide passing through the resonant ring 1 and the resonant ring 2 changes its phase by π after passing through the two resonant rings. Based on this, the phase value of wavelength 1 in the bus waveguide can reflect the difference in the intensity of the ambient light received by the resonant ring 1 and the resonant ring 2.

[0032] Further, in one embodiment of the present disclosure, the demultiplexing device can be connected to the all-optical parallel computing array chip through an optical fiber, and is used to determine the classification result of the first image based on the output light result. In one embodiment of the present disclosure, the method for determining the classification result of the first image based on the output light result can include: determining the classification result of the first image based on the information intensity of different wavelength components in the output light result.

[0033] In one embodiment of the present disclosure, the demultiplexing device can disperse light of different wavelengths, so that the classification result of the first image can be obtained according to the characteristics of the wavelength. For example, in one embodiment of the present disclosure, assuming that wavelength 1 corresponds to image H, when the amplitude of wavelength 1 in the output light result is the largest, the classification result of the first image corresponding to the output light result is image H.

[0034] And, in one embodiment of the present disclosure, the above system may further include an optical renderer, which may be connected to the all-optical parallel computing array chip through an optical fiber to obtain an output light result, and perform all-optical reconstruction based on the output light result to obtain a second image in the target area, thereby realizing remote transmission and restoration of the optical image. In one embodiment of the present disclosure, the above optical renderer includes a blazed grating and a diffraction module, wherein the blazed grating is designed in pair with a plurality of resonant rings and a plurality of microlens arrays.

[0035] Specifically, in one embodiment of the present disclosure, the method for performing plenoptic reconstruction based on the output light result to obtain a second image in the target area may include the following steps: Step a, reflecting light of different wavelengths in the output light result to a spatial position through a blazed grating; Step b: The diffraction module diffracts different phase masks in the spatial position to obtain a second image in the target area.

[0036] Among them, in one embodiment of the present disclosure, the second image is the same as the first image, based on which, the output light result can be transmitted to the far field in real time and computationally reconstructed through a jointly designed optical renderer without the need for serial readout through an electronic camera, thereby not limiting the frame rate of imaging and image processing.

[0037] It should be noted that in one embodiment of the present disclosure, the response time of the above-mentioned ultrafast all-optical intelligent sensing chip can reach 6 nanoseconds, and the optical bandwidth is 160 nanometers (1480 nanometers to 1640 nanometers), thereby significantly improving the energy efficiency and computing speed of image processing. At the same time, the above-mentioned solutions are all completed in the optical domain, so they can be applied to edge computing, intelligent robots and other fields, demonstrating the wide applicability of ultrafast all-optical intelligent sensing chips in modern technology.

[0038] In summary, the ultrafast all-optical intelligent sensing chip system provided in this embodiment processes the spatial intensity image through the all-optical parallel computing array chip and the demultiplexing device, makes full use of the coherence and interference effects, realizes the parallel processing of multiple features, and thus improves the image recognition efficiency. At the same time, the ultrafast all-optical intelligent sensing chip system can be applied to edge computing, intelligent robots and other fields, demonstrating the wide applicability of ultrafast all-optical intelligent sensing chips in modern technology.

[0039] Figure 2 The ultrafast all-optical intelligent sensing chip architecture of the present invention is as follows: Figure 2 As shown in Figure 1, the architecture consists of multiple layers of ultrafast all-optical intelligent sensing chips cascaded together. Each part of the chip is driven by intelligent task goals and reversely designed, so it can ensure optimal image processing performance.

[0040] In order to implement the above embodiment, Figure 3 The present disclosure also proposes an image classification method using an ultrafast all-optical intelligent sensing chip system. Figure 3 As shown, the method may include the following steps: Step 301, obtaining natural light and incident light of a first image in a target area; Step 302: input the natural light and the incident light into the ultrafast all-optical intelligent sensing chip to obtain the output light result; Step 303: input the output light result into a demultiplexing device to obtain a classification result of the first image.

[0041] In one embodiment of the present disclosure, the method may further include: inputting the output light result into an optical renderer through an optical fiber to obtain a second image in the target area.

[0042] The collection, storage, use, processing, transmission, provision and disclosure of user personal information involved in this disclosure shall comply with the relevant laws and regulations and shall not violate public order and good morals.

[0043] It should be noted that personal information from users should be collected for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. In addition, such collection / sharing should be carried out after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign the agreement / authorization including authorization of relevant user information before the user uses the function. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others who have access to personal information data comply with its privacy policy and procedures.

[0044] The present disclosure anticipates providing implementation schemes for users to selectively block the use or access of personal information data. That is, the present disclosure anticipates providing hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, risks can be minimized by limiting data collection and deleting the data. In addition, when applicable, such personal information is de-identified to protect the privacy of the user.

[0045] The acquisition, transmission, storage, use, and processing of data in the technical solution disclosed in this disclosure are in compliance with the relevant provisions of national laws and regulations.

[0046] It should be noted that in the embodiments of the present disclosure, certain software, components, models and other existing solutions in the industry may be mentioned, which should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present application, but it does not mean that the applicant has or will necessarily use the solution.

[0047] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they contradict each other.

[0048] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of the present disclosure, "plurality" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0049] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present disclosure includes additional implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present disclosure belong.

[0050] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or otherwise processing in a suitable manner if necessary, and then stored in a computer memory.

[0051] It should be understood that the various parts of the present disclosure can be implemented in hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0052] A person skilled in the art may understand that all or part of the steps in the above-mentioned embodiment method may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0053] In addition, each functional unit in each embodiment of the present disclosure may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0054] The storage medium mentioned above may be a read-only memory, a disk or an optical disk, etc. Although the embodiments of the present disclosure have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations of the present disclosure. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present disclosure.

Claims

1. An ultrafast all-optical intelligent sensing and computing chip system, characterized in that: The system includes an all-optical parallel computing array chip and a demultiplexing device, wherein the chip includes a plurality of microlenses, a plurality of resonant rings and a bus waveguide, wherein: The microlens is used to obtain natural light of a first image in a target area where the microlens is located; The multiple resonant rings are connected to the multiple microlens arrays, and are used to obtain the light focused by the corresponding microlenses, and coherently combine the light propagating in the bus waveguide to achieve modulation of the light propagating in the bus waveguide to obtain a first modulation result; The bus waveguide connects the multiple resonant rings in series, and is used to obtain incident light and propagate the incident light in the multiple resonant rings, and combine the first modulation results to obtain output light results; The demultiplexing device is connected to the all-optical parallel computing array chip and is used to determine the classification result of the first image based on the output light result.

2. The system according to claim 1, characterized in that The plurality of micro lenses are distributed in an array, and each micro lens has a corresponding resonant ring.

3. The system according to claim 1, characterized in that The resonant ring is a high-Q all-pass resonant ring; the step of acquiring the light focused by the corresponding microlens and modulating it with the light propagating in the bus waveguide to obtain a first modulation result includes: Acquiring light focused by the corresponding microlens, wherein the focused light is absorbed by the resonant ring silicon waveguide to generate photogenerated carriers; Based on the high Q value of the resonant ring and the refractive index of the photogenerated carriers, the light propagating in the bus waveguide is phase- and / or amplitude-modulated to obtain a first modulation result.

4. The system according to claim 3, characterized in that The plurality of resonant rings are divided into different groups, and different groups of resonant rings correspond to different wavelengths of light in the bus waveguide.

5. The system according to claim 4, characterized in that The step of acquiring incident light and propagating the incident light in the plurality of resonant rings, and obtaining an output light result based on the first modulation result, comprises: Acquire incident light and propagate the incident light in the plurality of resonant rings to obtain a first modulation result of each resonant ring; Based on the coherent combination of the incident light in the bus waveguide, a second modulation result of each group of resonant rings is obtained; Based on the second modulation result of each group of resonant rings, an output light result is obtained.

6. The system according to claim 1, characterized in that The determining, based on the output light result, a classification result of the first image comprises: The classification result of the first image is determined based on the information intensity of different wavelength components in the output light result.

7. The system according to claim 1, characterized in that The system also includes an optical renderer, which is connected to the all-optical parallel computing array chip through an optical fiber, and is used to obtain the output light result, and perform all-optical reconstruction based on the output light result to obtain a second image in the target area.

8. The system according to claim 7, characterized in that The optical renderer includes a blazed grating and a diffraction module; the full optical reconstruction is performed based on the output light result to obtain a second image in the target area, including: Reflecting lights of different wavelengths in the output light result to different spatial positions by the blazed grating; The diffraction module diffracts the light at different spatial positions using a phase mask to obtain a second image in the target area.

9. An image classification method using the ultrafast all-optical intelligent sensing chip system as claimed in claim 1, characterized in that: include: Acquire natural light and incident light of a first image in a target area; Inputting the natural light and the incident light into an ultrafast all-optical intelligent sensing chip to obtain an output light result; The output light result is input into a demultiplexing device to obtain a classification result of the first image.

10. The method according to claim 9, characterized in that The method further comprises: The output light result is input into an optical renderer through an optical fiber to obtain a second image in the target area.

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