Sequential analysis system for application information collection

Abstract

The invention relates to a sequence analysis system for application information collection, which comprises a multi-layer analysis mechanism, the intelligent analysis model is used for sensing multiple items of information of the component according to the data; intelligently analyzing the RAW image to each type name and each processing sequence number respectively corresponding to various image processing types needing to be executed by the real-time sensing frame according to the multiple pieces of visual information of the real-time sensing frame and the multiple pieces of visual information of the RAW image corresponding to the real-time sensing frame; and the touch display screen is used for receiving and displaying the intelligent analysis result. According to the invention, an intelligent analysis mechanism can be adopted to intelligently analyze the type names of the copies corresponding to the RAW image corresponding to the real-time sensing frame to various image processing types needing to be executed in the real-time sensing frame and the processing sequence numbers of the copies corresponding to the RAW image to various image processing types needing to be executed in the real-time sensing frame; therefore, auxiliary data is provided for the monitoring end to determine the used image processing type and sequence.

Description

Technical Field

[0001] The present invention relates to the field of signal processing, and in particular to a sequential analysis system for application information collection. Background Art

[0002] Generally speaking, in the field of telecommunications, the most typical applications of digital signal processing are: 1. Speech coding and compression: After speech is digitized, it occupies a wide frequency band. In order to carry out narrowband transmission and efficient storage, it needs to be compressed. Usually, a speech needs a bit rate of 64kbit / s. Medium-speed coding requires that this bit rate be compressed to 32kbit / s, 16kbit / s or even 8kbit / s, while still maintaining good speech quality. Through digital signal processing technology, many adaptive coding schemes have reached the requirements recommended by the International Telegraph and Telephone Consultative Committee. Low-speed coding requires that the bit rate be reduced to 4.8kbit / s, 2.4kbit / s or even 800bit / s, and good algorithms and hardware have been implemented to achieve this.

[0003] 2. Image coding compression: Regardless of still images, moving images, or even television images, the amount of data after digital encoding is very large. To transmit them with high quality, they generally need to be compressed to 1 / 10~1 / 100. Various encoding methods, as well as the so-called wavelet transform method and fractal signal analysis method, have proposed feasible solutions for high compression ratio television encoding.

[0004] Signal processing of image data is not limited to image coding and compression, but also involves various types of image processing, such as image interpolation, image sharpening, and image enhancement. For the remote monitoring end, it is difficult to judge the various types of image processing that the received monitoring images have undergone and the processing order of various image processing types based on the personal experience of the monitoring personnel, resulting in the monitoring personnel lacking reliable cognitive information about the received monitoring images. Summary of the invention

[0005] In order to solve the technical problems in the related fields, the present invention provides a sequential parsing system for application information collection, which adopts an intelligent analysis mechanism to intelligently analyze the type names corresponding to various image processing types required to be executed from the RAW image corresponding to the real-time sensing frame to the real-time sensing frame, as well as the processing sequence numbers corresponding to various image processing types required to be executed from the RAW image to the real-time sensing frame, so as to provide auxiliary data for the monitoring end to clarify the image processing type and sequence used, and provide reference information for subsequent image processing, wherein multiple basic data are introduced for intelligent analysis, and the multiple basic data include multiple visualization information of the real-time sensing frame, multiple visualization information of the RAW image corresponding to the real-time sensing frame, and multiple information of the data sensing component, the multiple visualization information of the real-time sensing frame is the brightness value of each pixel point of the real-time sensing frame and the number of noise types and the number of main objects of the real-time sensing frame, the multiple visualization information of the RAW image corresponding to the real-time sensing frame is the brightness value of each pixel point of the RAW image corresponding to the real-time sensing frame and the signal-to-noise ratio of the RAW image, and the multiple information of the data sensing component is the frame rate of the data sensing component, the single frame resolution, and the pixel size of the photoelectric sensor of the data sensing component.

[0006] According to the present invention, a sequential parsing system for application information collection is provided, the system comprising: The data sensing component is arranged at the entrance of the shopping mall to perform photoelectric sensing on the entrance scene of the shopping mall, and is used to obtain and output the corresponding real-time sensing frame; The object mapping component is used for mapping the corresponding intelligent parsing model based on the autoencoder neural network, and the mapping of the corresponding intelligent parsing model based on the autoencoder neural network includes: performing multiple learning on the autoencoder neural network to obtain the autoencoder neural network after completing the multiple learning and outputting it as the intelligent parsing model; A multi-layer parsing mechanism, connected to the data sensing component and the object mapping component respectively, for obtaining multiple visual information of the real-time sensing frame and multiple visual information of the RAW image corresponding to the real-time sensing frame, synchronously obtaining multiple information of the data sensing component, inputting the multiple information of the data sensing component, the multiple visual information of the real-time sensing frame and the multiple visual information of the RAW image corresponding to the real-time sensing frame into the intelligent parsing model in parallel, and running the intelligent parsing model to obtain the type names corresponding to the various image processing types that need to be performed from the RAW image output by the intelligent parsing model to the real-time sensing frame and the processing sequence numbers corresponding to the various image processing types that need to be performed from the RAW image to the real-time sensing frame; A touch display screen connected to the multi-layer parsing mechanism is used to display the type names corresponding to the various image processing types that need to be performed from the RAW image to the real-time sensing frame and the processing sequence numbers corresponding to the various image processing types that need to be performed from the RAW image to the real-time sensing frame when receiving the type names corresponding to the various image processing types that need to be performed from the RAW image to the real-time sensing frame and the processing sequence numbers corresponding to the various image processing types that need to be performed from the RAW image to the real-time sensing frame; Among them, obtaining multiple visual information of the real-time sensing frame and multiple visual information of the RAW image corresponding to the real-time sensing frame, synchronously obtaining multiple information of the data sensing component, and inputting the multiple information of the data sensing component, the multiple visual information of the real-time sensing frame and the multiple visual information of the RAW image corresponding to the real-time sensing frame into the intelligent analysis model in parallel includes: the multiple visual information of the real-time sensing frame is the brightness value of each pixel point of the real-time sensing frame and the number of noise types and the number of main objects of the real-time sensing frame, and the multiple visual information of the RAW image corresponding to the real-time sensing frame is the brightness value of each pixel point of the RAW image corresponding to the real-time sensing frame and the signal-to-noise ratio of the RAW image; Among them, obtaining multiple visual information of the real-time sensing frame and multiple visual information of the RAW image corresponding to the real-time sensing frame, synchronously obtaining multiple information of the data sensing component, and inputting the multiple information of the data sensing component, the multiple visual information of the real-time sensing frame and the multiple visual information of the RAW image corresponding to the real-time sensing frame into the intelligent analysis model in parallel also includes: the multiple information of the data sensing component is the frame rate of the data sensing component, the single-frame resolution and the pixel size of the photoelectric sensor of the data sensing component.

[0007] It can be seen that the present invention has at least the following three important inventive concepts: First, an intelligent analysis mechanism is used to intelligently analyze the type names and processing sequence numbers of various image processing types that need to be performed from the RAW image corresponding to the real-time sensing frame to the real-time sensing frame, thereby providing auxiliary data for the monitoring end to clarify the image processing type and sequence used, and providing reference information for subsequent image processing; Second, multiple basic data are introduced for intelligent analysis, wherein the multiple basic data include multiple visual information of real-time sensing frames, multiple visual information of RAW images corresponding to real-time sensing frames, and multiple information of data sensing components; The third place: Specifically, the multiple pieces of visualization information of the real-time sensing frame are the brightness value of each pixel point of the real-time sensing frame and the number of noise types and the number of main objects of the real-time sensing frame; the multiple pieces of visualization information of the RAW image corresponding to the real-time sensing frame are the brightness value of each pixel point of the RAW image corresponding to the real-time sensing frame and the signal-to-noise ratio of the RAW image; the multiple pieces of information of the data sensing component are the frame rate of the data sensing component, the single-frame resolution and the pixel size of the photoelectric sensor of the data sensing component. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein: Figure 1 A structural block diagram of a sequential parsing system for application information collection according to implementation scheme A of the present invention.

[0009] Figure 2 A structural block diagram of a sequential parsing system for application information collection according to implementation scheme B of the present invention.

[0010] Figure 3 It is a structural block diagram of a sequential parsing system for application information collection according to implementation scheme C of the present invention. DETAILED DESCRIPTION

[0011] The implementation scheme of the sequential parsing system for application information collection of the present invention will be described in detail below with reference to the accompanying drawings.

[0012] Figure 1 A structural block diagram of a sequential parsing system for application information collection according to embodiment A of the present invention, wherein the system comprises: The data sensing component is arranged at the entrance of the shopping mall to perform photoelectric sensing on the entrance scene of the shopping mall, and is used to obtain and output the corresponding real-time sensing frame; The object mapping component is used for mapping the corresponding intelligent parsing model based on the autoencoder neural network, and the mapping of the corresponding intelligent parsing model based on the autoencoder neural network includes: performing multiple learning on the autoencoder neural network to obtain the autoencoder neural network after completing the multiple learning and outputting it as the intelligent parsing model; For example, an object mapping component is used to map a corresponding intelligent parsing model based on an autoencoder neural network, and the mapping of the corresponding intelligent parsing model based on the autoencoder neural network includes: performing multiple learning on the autoencoder neural network to obtain the autoencoder neural network after multiple learning and outputting it as an intelligent parsing model includes: an ASIC device can be selected to implement the object mapping component, and the mapping of the corresponding intelligent parsing model based on the autoencoder neural network includes: performing multiple learning on the autoencoder neural network to obtain the autoencoder neural network after multiple learning and outputting it as an intelligent parsing model; A multi-layer parsing mechanism, connected to the data sensing component and the object mapping component respectively, for obtaining multiple visual information of the real-time sensing frame and multiple visual information of the RAW image corresponding to the real-time sensing frame, synchronously obtaining multiple information of the data sensing component, inputting the multiple information of the data sensing component, the multiple visual information of the real-time sensing frame and the multiple visual information of the RAW image corresponding to the real-time sensing frame into the intelligent parsing model in parallel, and running the intelligent parsing model to obtain the type names corresponding to the various image processing types that need to be performed from the RAW image output by the intelligent parsing model to the real-time sensing frame and the processing sequence numbers corresponding to the various image processing types that need to be performed from the RAW image to the real-time sensing frame; A touch display screen connected to the multi-layer parsing mechanism is used to display the type names corresponding to the various image processing types that need to be performed from the RAW image to the real-time sensing frame and the processing sequence numbers corresponding to the various image processing types that need to be performed from the RAW image to the real-time sensing frame when receiving the type names corresponding to the various image processing types that need to be performed from the RAW image to the real-time sensing frame and the processing sequence numbers corresponding to the various image processing types that need to be performed from the RAW image to the real-time sensing frame; Among them, obtaining multiple visual information of the real-time sensing frame and multiple visual information of the RAW image corresponding to the real-time sensing frame, synchronously obtaining multiple information of the data sensing component, and inputting the multiple information of the data sensing component, the multiple visual information of the real-time sensing frame and the multiple visual information of the RAW image corresponding to the real-time sensing frame into the intelligent analysis model in parallel includes: the multiple visual information of the real-time sensing frame is the brightness value of each pixel point of the real-time sensing frame and the number of noise types and the number of main objects of the real-time sensing frame, and the multiple visual information of the RAW image corresponding to the real-time sensing frame is the brightness value of each pixel point of the RAW image corresponding to the real-time sensing frame and the signal-to-noise ratio of the RAW image; Among them, obtaining multiple visual information of the real-time sensing frame and multiple visual information of the RAW image corresponding to the real-time sensing frame, synchronously obtaining multiple information of the data sensing component, and inputting the multiple information of the data sensing component, the multiple visual information of the real-time sensing frame and the multiple visual information of the RAW image corresponding to the real-time sensing frame into the intelligent analysis model in parallel also includes: the multiple information of the data sensing component is the frame rate of the data sensing component, the single frame resolution and the pixel size of the photoelectric sensor of the data sensing component; Among them, the multiple pieces of visualization information of the real-time sensing frame are the brightness value of each pixel point of the real-time sensing frame, the number of noise types and the number of main objects of the real-time sensing frame, and the multiple pieces of visualization information of the RAW image corresponding to the real-time sensing frame are the brightness value of each pixel point of the RAW image corresponding to the real-time sensing frame and the signal-to-noise ratio of the RAW image, including: the main object of the real-time sensing frame is an imaging object whose number of pixels occupied in the real-time sensing frame is greater than or equal to a set number threshold.

[0013] Figure 2 A structural block diagram of a sequential parsing system for application information collection according to implementation scheme B of the present invention.

[0014] Compared with implementation scheme A, the sequential parsing system for application information collection shown in implementation scheme B of the present invention may also include: a temperature detection device, disposed near the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen and connected to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively; Among them, the temperature detection device is arranged near the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen and is respectively connected to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen, including: the temperature detection device is used to respectively realize on-site measurement of the current temperature of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen.

[0015] Figure 3 It is a structural block diagram of a sequential parsing system for application information collection according to implementation scheme C of the present invention.

[0016] Compared with implementation scheme A, the sequential parsing system for application information collection shown in implementation scheme C of the present invention may also include: a voltage detection device, disposed near the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen and connected to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively; Among them, the voltage detection device is arranged near the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen and is respectively connected to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen, including: the voltage detection device is used to respectively realize on-site measurement of the current voltage of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen.

[0017] Next, the specific structure of the sequential analysis system for application information collection of the present invention will be further described.

[0018] In the sequential parsing system for application information collection according to various embodiments of the present invention: A SOC chip is used to perform image data processing on the output data of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen to obtain output processing data corresponding to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively.

[0019] In the sequential parsing system for application information collection according to various embodiments of the present invention: Using a SOC chip to perform image data processing on the output data of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen to obtain the output processing data corresponding to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively includes: performing nearest neighbor interpolation processing on the output data of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen to obtain the output processing data corresponding to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively.

[0020] In the sequential parsing system for application information collection according to various embodiments of the present invention: Using a SOC chip to perform image data processing on the output data of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen to obtain the output processing data corresponding to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively includes: performing bilinear interpolation processing on the output data of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen to obtain the output processing data corresponding to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively.

[0021] In the sequential parsing system for application information collection according to various embodiments of the present invention: The SOC chip is used to perform image data processing on the output data of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen to obtain the output processing data corresponding to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively, including: performing bicubic interpolation processing of a 16×16 pixel neighborhood on the output data of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen to obtain the output processing data corresponding to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively.

[0022] And in a sequential parsing system for application information collection according to various embodiments of the present invention: The SOC chip is used to perform image data processing on the output data of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen to obtain the output processing data corresponding to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively, including: performing Lanczos interpolation processing of a 4×4 pixel neighborhood on the output data of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen to obtain the output processing data corresponding to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively.

[0023] In addition, in the sequential analysis system for application information collection, multiple pieces of information of the data sensing component, multiple pieces of visual information of the real-time sensing frame, and multiple pieces of visual information of the RAW image corresponding to the real-time sensing frame are input into the intelligent analysis model in parallel, and the intelligent analysis model is run to obtain the type names corresponding to the various image processing types that need to be performed from the RAW image output by the intelligent analysis model to the real-time sensing frame, as well as the processing sequence numbers corresponding to the various image processing types that need to be performed from the RAW image to the real-time sensing frame, including: using a parallel control interface to realize the parallel input of multiple pieces of information of the data sensing component, multiple pieces of visual information of the real-time sensing frame, and multiple pieces of visual information of the RAW image corresponding to the real-time sensing frame into the intelligent analysis model.

[0024] The sequential parsing system for application information collection of the present invention addresses the technical problem in the prior art that the video surveillance terminal is unable to effectively identify the image processing type and processing sequence to be performed on the received surveillance screen. By adopting an intelligent analysis mechanism, the type names corresponding to the various image processing types that need to be performed from the RAW image corresponding to the real-time sensing frame to the real-time sensing frame and the processing sequence numbers corresponding to the various image processing types that need to be performed from the RAW image to the real-time sensing frame are intelligently analyzed, thereby providing auxiliary data for the surveillance terminal to clearly understand the image processing type and sequence that have been used.

[0025] While there has been described what are considered to be preferred embodiments of the present invention, those skilled in the art will recognize that other and further modifications may be made thereto without departing from the spirit of the invention, and it is intended to claim all such embodiments that fall within the true scope of the invention.

Claims

1. A sequential analysis system for application information collection, characterized in that: The system comprises: The data sensing component is arranged at the entrance of the shopping mall to perform photoelectric sensing on the entrance scene of the shopping mall, and is used to obtain and output the corresponding real-time sensing frame; The object mapping component is used for mapping the corresponding intelligent parsing model based on the autoencoder neural network, and the mapping of the corresponding intelligent parsing model based on the autoencoder neural network includes: performing multiple learning on the autoencoder neural network to obtain the autoencoder neural network after completing the multiple learning and outputting it as the intelligent parsing model; A multi-layer parsing mechanism, connected to the data sensing component and the object mapping component respectively, for obtaining multiple visual information of the real-time sensing frame and multiple visual information of the RAW image corresponding to the real-time sensing frame, synchronously obtaining multiple information of the data sensing component, inputting the multiple information of the data sensing component, the multiple visual information of the real-time sensing frame and the multiple visual information of the RAW image corresponding to the real-time sensing frame into the intelligent parsing model in parallel, and running the intelligent parsing model to obtain the type names corresponding to the various image processing types that need to be performed from the RAW image output by the intelligent parsing model to the real-time sensing frame and the processing sequence numbers corresponding to the various image processing types that need to be performed from the RAW image to the real-time sensing frame; A touch display screen connected to the multi-layer parsing mechanism is used to display the type names corresponding to the various image processing types that need to be performed from the RAW image to the real-time sensing frame and the processing sequence numbers corresponding to the various image processing types that need to be performed from the RAW image to the real-time sensing frame when receiving the type names corresponding to the various image processing types that need to be performed from the RAW image to the real-time sensing frame and the processing sequence numbers corresponding to the various image processing types that need to be performed from the RAW image to the real-time sensing frame; Among them, obtaining multiple visual information of the real-time sensing frame and multiple visual information of the RAW image corresponding to the real-time sensing frame, synchronously obtaining multiple information of the data sensing component, and inputting the multiple information of the data sensing component, the multiple visual information of the real-time sensing frame and the multiple visual information of the RAW image corresponding to the real-time sensing frame into the intelligent analysis model in parallel includes: the multiple visual information of the real-time sensing frame is the brightness value of each pixel point of the real-time sensing frame and the number of noise types and the number of main objects of the real-time sensing frame, and the multiple visual information of the RAW image corresponding to the real-time sensing frame is the brightness value of each pixel point of the RAW image corresponding to the real-time sensing frame and the signal-to-noise ratio of the RAW image; Among them, obtaining multiple visual information of the real-time sensing frame and multiple visual information of the RAW image corresponding to the real-time sensing frame, synchronously obtaining multiple information of the data sensing component, and inputting the multiple information of the data sensing component, the multiple visual information of the real-time sensing frame and the multiple visual information of the RAW image corresponding to the real-time sensing frame into the intelligent analysis model in parallel also includes: the multiple information of the data sensing component is the frame rate of the data sensing component, the single-frame resolution and the pixel size of the photoelectric sensor of the data sensing component.

2. The sequential analysis system for application information collection as claimed in claim 1, characterized in that: The multiple pieces of visualization information of the real-time sensing frame are the brightness value of each pixel point of the real-time sensing frame, the number of noise types and the number of main objects of the real-time sensing frame, and the multiple pieces of visualization information of the RAW image corresponding to the real-time sensing frame are the brightness value of each pixel point of the RAW image corresponding to the real-time sensing frame and the signal-to-noise ratio of the RAW image, including: the main object of the real-time sensing frame is an imaging object whose number of pixels occupied in the real-time sensing frame is greater than or equal to a set number threshold.

3. The sequential analysis system for application information collection as claimed in claim 2, characterized in that: The system further comprises: a temperature detection device, disposed near the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen and connected to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively; Among them, the temperature detection device is arranged near the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen and is respectively connected to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen, including: the temperature detection device is used to respectively realize on-site measurement of the current temperature of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen.

4. The sequential analysis system for application information collection as claimed in claim 2, characterized in that: The system further comprises: a voltage detection device, disposed near the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen and connected to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively; Among them, the voltage detection device is arranged near the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen and is respectively connected to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen, including: the voltage detection device is used to respectively realize on-site measurement of the current voltage of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen.

5. The sequential analysis system for application information collection as claimed in any one of claims 2 to 4, characterized in that: A SOC chip is used to perform image data processing on the output data of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen to obtain output processing data corresponding to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively.

6. The sequential analysis system for application information collection as claimed in claim 5, characterized in that: Using a SOC chip to perform image data processing on the output data of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen to obtain the output processing data corresponding to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively includes: performing nearest neighbor interpolation processing on the output data of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen to obtain the output processing data corresponding to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively.

7. The sequential analysis system for application information collection as claimed in claim 5, characterized in that: Using a SOC chip to perform image data processing on the output data of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen to obtain the output processing data corresponding to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively includes: performing bilinear interpolation processing on the output data of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen to obtain the output processing data corresponding to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively.

8. The sequential analysis system for application information collection as claimed in claim 5, characterized in that: The SOC chip is used to perform image data processing on the output data of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen to obtain the output processing data corresponding to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively, including: performing bicubic interpolation processing of a 16×16 pixel neighborhood on the output data of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen to obtain the output processing data corresponding to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively.

9. The sequential analysis system for application information collection as claimed in claim 5, characterized in that: The SOC chip is used to perform image data processing on the output data of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen to obtain the output processing data corresponding to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively, including: performing Lanczos interpolation processing of a 4×4 pixel neighborhood on the output data of the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen to obtain the output processing data corresponding to the multi-layer parsing mechanism, the data sensing component, the object mapping component and the touch display screen respectively.

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