Device and method for artificial intelligence to be suitable for multi-core calculation

Abstract

The invention discloses an artificial intelligence device suitable for multi-core calculation, which is applied to picture design and comprises a central processing module, the central processing module is electrically connected with a picture retrieval module and a picture design module, and the picture retrieval module is respectively connected with a picture decoding module and a picture decomposition module. The picture design module is respectively connected with a picture static design module and a picture dynamic design module, and the artificial intelligence method suitable for the multi-core calculation comprises the following steps: step 1, retrieving related pictures, and retrieving the related pictures through a picture retrieval module; the device comprises a picture static design module and a picture dynamic design module, the picture can be dynamically simulated, frame-by-frame picture design can be carried out, and the device is suitable for multi-core calculation; and picture retrieval is not only limited to picture questions, and multi-dimensional decomposition is carried out on the pictures, so that the picture retrieval reliability is improved.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to an artificial intelligence device suitable for multi-core computing and a method thereof. Background Art

[0002] Multi-core computing refers to the integration of two or more complete computing engines into a single processor. This design enables the system to incorporate more powerful processing performance in a more compact form factor while reducing power consumption and heat generation. The core advantage of multi-core computing is its ability to improve computing efficiency and performance through parallel processing. By assigning tasks to different cores, a multi-core processor can execute multiple tasks simultaneously, thereby improving overall processing speed and efficiency. In addition, multi-core computing helps to improve the stability and reliability of the program because even if one core has a problem, the other cores can still continue to work. The existing field of image processing is not only for static image processing, but also adds dynamic processing capabilities, which cannot be met if it is calculated with a single core. In summary, it is imperative to design a device and method suitable for multi-core computing that can be used in the field of image processing. Summary of the Invention

[0003] In order to overcome the above-mentioned deficiencies, the present invention provides an artificial intelligence device and method suitable for multi-core computing.

[0004] The present invention achieves the above-mentioned purpose through the following technical solutions:

[0005] An artificial intelligence device suitable for multi-core computing is applied to image design. The device includes a central processing module, which is electrically connected to an image retrieval module and an image design module. The image retrieval module is respectively connected to an image decoding module and an image decomposition module, and the image design module is respectively connected to an image static design module and an image dynamic design module.

[0006] Preferably, the device further includes a data storage module and a communication module. The data storage module is used to store image data, and the communication module is used to wirelessly connect the device to an external communication terminal, thereby enabling staff to remotely control the device.

[0007] Preferably, it also includes a power module, which includes a power circuit, which includes an integrated circuit, a first capacitor, a second capacitor, a third capacitor, a fourth capacitor, a first diode, a second diode, a first resistor, a second resistor, a third resistor and a transistor. The model of the integrated circuit is 78L24, the input end of the integrated circuit is grounded through the first capacitor and the second capacitor respectively, the output end of the integrated circuit is grounded through the third capacitor and the fourth capacitor respectively, the input end of the integrated circuit is electrically connected to the collector of the transistor, the emitter of the transistor is electrically connected to the anode of the second diode, the cathode of the second diode is electrically connected to the output end of the integrated circuit, the output end of the integrated circuit is grounded through the first diode, the anode of the first diode is grounded, and the collector The output end of the integrated circuit is electrically connected to the external circuit through the first resistor, the output end of the integrated circuit is grounded through the second resistor and the third resistor, the ground end of the integrated circuit is electrically connected to the second resistor and the third resistor respectively, and the base of the transistor is electrically connected to the I / O end of the central processing module. In this power supply circuit, the transistor is controlled by the central processing module. When multi-core processing is not required, the output power of the device does not need to be increased. When multi-core processing is required, the transistor is turned on, and then the output power of the power supply circuit increases. In addition, voltage stabilization can be performed through the first diode. In order to prevent the output voltage from being too high, voltage division sampling is also performed through the second resistor and the third resistor, and feedback collection is performed by the integrated circuit to prevent the output voltage from fluctuating too quickly.

[0008] Preferably, the first diode is a Zener diode, and the rated voltage of the Zener diode is 50V.

[0009] A method for applying the artificial intelligence as described above to multi-core computing includes the following steps:

[0010] Step 1: Retrieve relevant images through the image retrieval module;

[0011] Step 2: Design the picture;

[0012] Among them, dynamic description is performed based on the information in the picture, and then the picture static design module produces a static picture of each frame when the picture is dynamic. The picture dynamic design module integrates and simulates the static picture of each frame. The picture static design module and the picture dynamic design module require multi-core processing.

[0013] Preferably, in step one, the picture is decoded, and related pictures are retrieved based on the decoded data of the picture, and then the picture is decomposed. The decomposition items include the picture title, picture color set and picture features. The picture features include the picture type, the people in the picture and the picture scenery. The decomposed items are retrieved to retrieve related pictures.

[0014] Preferably, in the image static design module, the image is decomposed, and the user selects the action curve on the decomposition item or zooms in and out, adds the time span, and then performs frame-by-frame image design based on the above actions.

[0015] Preferably, in the picture dynamic design module, the static pictures designed by the picture static design module are dynamically integrated, or the pictures are decomposed, and when the user makes adjustments to the decomposed items, dynamic simulation is performed for the user to choose.

[0016] The beneficial effects of the present invention are: the artificial intelligence is applicable to a multi-core computing device and method thereof:

[0017] 1. The device includes a static image design module and a dynamic image design module. It can perform dynamic simulation of images and frame-by-frame image design, which is suitable for multi-core computing;

[0018] 2. Image retrieval is not limited to the image title, but also decomposes the image into multiple dimensions, which improves the reliability of image retrieval;

[0019] 3. The power supply circuit can meet the working conditions of multi-core computing or single-core computing. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The present invention will now be described by way of example with reference to the accompanying drawings, in which:

[0021] Figure 1 It is a system principle diagram of the present invention;

[0022] Figure 2 It is a circuit principle diagram of the power supply circuit of the present invention. DETAILED DESCRIPTION

[0023] The present invention will now be described in further detail with reference to the accompanying drawings, which are simplified schematic diagrams that illustrate the basic structure of the present invention in a schematic manner.

[0024] like Figure 1 As shown, an artificial intelligence device suitable for multi-core computing is applied to image design. The device includes a central processing module, the central processing module is electrically connected to an image retrieval module and an image design module, the image retrieval module is respectively connected to an image decoding module and an image decomposition module, and the image design module is respectively connected to an image static design module and an image dynamic design module.

[0025] Specifically, the device further includes a data storage module and a communication module. The data storage module is used to store image data, and the communication module is used to wirelessly connect the device to an external communication terminal, thereby enabling staff to remotely control the device.

[0026] Specifically, Figure 2 As shown, the device also includes a power supply module, which includes a power supply circuit. The power supply circuit includes an integrated circuit U1, a first capacitor C1, a second capacitor C2, a third capacitor C3, a fourth capacitor C4, a first diode VD1, a second diode VD2, a first resistor R1, a second resistor R2, a third resistor R3 and a transistor Q1. The model of the integrated circuit U1 is 78L24. The input end of the integrated circuit U1 is grounded through the first capacitor C1 and the second capacitor C2 respectively, and the output end of the integrated circuit U1 is grounded through the third capacitor C3 and the fourth capacitor C4 respectively. The input end of the integrated circuit U1 is electrically connected to the collector of the transistor Q1, the emitter of the transistor Q1 is electrically connected to the anode of the second diode VD2, the cathode of the second diode VD2 is electrically connected to the output end of the integrated circuit U1, and the output end of the integrated circuit U1 is grounded through the first diode VD1. The anode of the diode VD1 is grounded, and the output end of the integrated circuit U1 is electrically connected to the external circuit through the first resistor R1. The output end of the integrated circuit U1 is grounded through the second resistor R2 and the third resistor R3. The ground end of the integrated circuit U1 is electrically connected to the second resistor R2 and the third resistor R3 respectively. The base of the transistor Q1 is electrically connected to the I / O end of the central processing module. In this power supply circuit, the transistor Q1 is controlled by the central processing module. When multi-core processing is not required, the output power of the device does not need to be increased. When multi-core processing is required, the transistor Q1 is turned on, and then the output power of the power supply circuit increases. In addition, voltage stabilization can be performed through the first diode VD1. In order to prevent the output voltage from being too high, voltage division sampling is also performed through the second resistor R2 and the third resistor R3, and feedback collection is performed by the integrated circuit U1 to prevent the output voltage from fluctuating too quickly.

[0027] Specifically, the first diode VD1 is a voltage regulator diode, and the rated voltage of the voltage regulator diode is 50V.

[0028] A method for applying the artificial intelligence as described above to multi-core computing includes the following steps:

[0029] Step 1: Retrieve relevant images through the image retrieval module;

[0030] Step 2: Design the picture;

[0031] Among them, dynamic description is performed based on the information in the picture, and then the picture static design module produces a static picture of each frame when the picture is dynamic. The picture dynamic design module integrates and simulates the static picture of each frame. The picture static design module and the picture dynamic design module require multi-core processing.

[0032] Specifically, in step one, the picture is decoded, and related pictures are retrieved based on the decoded data of the picture. The picture is then decomposed, and the decomposition items include the picture title, picture color set and picture features. The picture features include the picture type, the people in the picture and the picture scenery. The decomposed items are retrieved to retrieve related pictures.

[0033] Specifically, in the static image design module, the image is decomposed, and the user selects the action curve or zooming in and out on the decomposition project, plus the time span, and then performs frame-by-frame image design based on the above actions.

[0034] Specifically, in the picture dynamic design module, the static pictures designed by the picture static design module are dynamically integrated, or the pictures are decomposed, and when the user makes adjustments to the decomposed items, dynamic simulation is performed for the user to choose.

[0035] The above description is for inspiration. Based on the above description, relevant personnel can make various changes and modifications without departing from the technical concept of this invention. The technical scope of this invention is not limited to the content of the specification, but must be determined according to the scope of the claims.

Claims

1. An artificial intelligence device suitable for multi-core computing, applied to image design, characterized by: The device includes a central processing module, which is electrically connected to a picture retrieval module and a picture design module. The picture retrieval module is respectively connected to a picture decoding module and a picture decomposition module. The picture design module is respectively connected to a picture static design module and a picture dynamic design module.

2. The artificial intelligence device applicable to multi-core computing according to claim 1, characterized in that: The device further comprises a data storage module and a communication module. The data storage module is used to store the image data, and the communication module is used to wirelessly connect the device to an external communication terminal.

3. The artificial intelligence device applicable to multi-core computing according to claim 1, characterized in that: It also includes a power supply module, which includes a power supply circuit. The power supply circuit includes an integrated circuit, a first capacitor, a second capacitor, a third capacitor, a fourth capacitor, a first diode, a second diode, a first resistor, a second resistor, a third resistor and a transistor. The model of the integrated circuit is 78L24. The input end of the integrated circuit is grounded through the first capacitor and the second capacitor respectively, and the output end of the integrated circuit is grounded through the third capacitor and the fourth capacitor respectively. The input end of the integrated circuit is electrically connected to the collector of the transistor, the emitter of the transistor is electrically connected to the anode of the second diode, the cathode of the second diode is electrically connected to the output end of the integrated circuit, the output end of the integrated circuit is grounded through the first diode, the anode of the first diode is grounded, the output end of the integrated circuit is electrically connected to the external circuit through the first resistor, the output end of the integrated circuit is grounded through the second resistor and the third resistor, the ground end of the integrated circuit is electrically connected to the second resistor and the third resistor respectively, and the base of the transistor is electrically connected to the I / O end of the central processing module.

4. The artificial intelligence device applicable to multi-core computing according to claim 3, characterized in that: The first diode is a voltage regulator diode, and the rated voltage of the voltage regulator diode is 50V.

5. A method for applying artificial intelligence to multi-core computing according to any one of claims 1 to 4, characterized in that: The following steps are involved: Step 1: Retrieve relevant images through the image retrieval module; Step 2: Design the picture; Among them, dynamic description is performed based on the information in the picture, and then the picture static design module produces a static picture of each frame when the picture is dynamic. The picture dynamic design module integrates and simulates the static picture of each frame. The picture static design module and the picture dynamic design module require multi-core processing.

6. The method for applying artificial intelligence to multi-core computing according to claim 5, characterized in that: In step one, the image is decoded, and related images are retrieved based on the decoded data of the image. The image is then decomposed. The decomposition items include the image title, the image color set, and the image features. The image features include the image type, the characters in the image, and the image scenery. The decomposed items are retrieved to retrieve related images.

7. The method for applying artificial intelligence to multi-core computing according to claim 5, characterized in that: In the image static design module, the image is decomposed, and the user selects the action curve or zooming in and out on the decomposition project, plus the time span, and then performs frame-by-frame image design based on the above actions.

8. The method for applying artificial intelligence to multi-core computing according to claim 5, characterized in that: In the picture dynamic design module, the static pictures designed by the picture static design module are dynamically integrated, or the pictures are decomposed. When the user makes adjustments to the decomposed items, dynamic simulation is performed for the user to choose.

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