CN116843926A - Supply chain tracing method of automobile parts based on data processing and related equipment - Google Patents

Supply chain tracing method of automobile parts based on data processing and related equipment Download PDF

Info

Publication number
CN116843926A
CN116843926A CN202310712249.4A CN202310712249A CN116843926A CN 116843926 A CN116843926 A CN 116843926A CN 202310712249 A CN202310712249 A CN 202310712249A CN 116843926 A CN116843926 A CN 116843926A
Authority
CN
China
Prior art keywords
image
data
automobile
radio frequency
target
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202310712249.4A
Other languages
Chinese (zh)
Inventor
于海龙
刘宏斌
邓晓文
辛帅帅
张晓峰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Bangbang Automobile Sales Service Beijing Co ltd
Original Assignee
Bangbang Automobile Sales Service Beijing Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Bangbang Automobile Sales Service Beijing Co ltd filed Critical Bangbang Automobile Sales Service Beijing Co ltd
Priority to CN202310712249.4A priority Critical patent/CN116843926A/en
Publication of CN116843926A publication Critical patent/CN116843926A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/761Proximity, similarity or dissimilarity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/10544Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum
    • G06K7/10821Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices
    • G06K7/10861Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices sensing of data fields affixed to objects or articles, e.g. coded labels
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/018Certifying business or products
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00Image coding

Abstract

The application provides a supply chain tracing method and a supply chain tracing system for an automobile fitting based on data processing, which relate to the technical field of data processing and comprise the following steps: obtaining contrast image data of an automobile accessory; compressing the image data by using an image compression algorithm to obtain data to be written; writing the data to be written into the wireless radio frequency electronic tag, and pasting the wireless radio frequency electronic tag to the automobile fitting; under the condition that an accident occurs to a vehicle for transporting the automobile parts, a radio frequency reader-writer is utilized to read a radio frequency electronic tag on the automobile parts, so as to obtain data to be decompressed; carrying out structural similarity calculation on the target image and the current image of the automobile part to obtain target confidence coefficient, wherein the target image is determined according to data to be decompressed; and judging whether the automobile parts are damaged according to the target confidence. Therefore, when the automobile parts are in danger accidents, whether the automobile parts are damaged or not can be judged manually.

Description

Supply chain tracing method of automobile parts based on data processing and related equipment
Technical Field
The application relates to the technical field of data processing, in particular to a supply chain tracing method of an automobile fitting based on data processing and related equipment.
Background
Today, the transportation of automotive parts from the parts manufacturer to the consumer requires multiple transportation links, during which the automotive parts are extremely vulnerable to damage. Currently, the way in which automotive parts are sold is typically by the parts manufacturer to the parts agent in batches, and then the parts agent distributes the parts individually to the consumer. In general, an accessory manufacturer purchases a freight risk for an automobile accessory, and after an accident occurs, an insurance company directly determines whether the automobile accessory is damaged according to an image of the automobile accessory, so as to determine whether to settle a claim.
Therefore, at present, when an accident occurs to the automobile parts, whether the automobile parts are damaged or not needs to be judged manually.
Disclosure of Invention
The embodiment of the application aims to provide a supply chain tracing method of an automobile fitting based on data processing and related equipment, so as to solve the problem that whether the automobile fitting is damaged or not needs to be judged manually when an accident happens to the existing automobile fitting.
To solve the above problems, the present application is achieved as follows:
in a first aspect, an embodiment of the present application provides a supply chain tracing method for an auto part based on data processing, including:
obtaining contrast image data of the automobile fitting, wherein the contrast image data is an undamaged image of the automobile fitting;
compressing the contrast image data by using an image compression algorithm to obtain data to be written;
writing the data to be written into a radio frequency electronic tag, and pasting the radio frequency electronic tag to the automobile accessory;
under the condition that an accident occurs to a vehicle transporting the automobile fitting, the radio frequency electronic tag on the automobile fitting is read by a radio frequency reader-writer to obtain data to be decompressed;
performing structural similarity calculation on a target image and the current image of the automobile part to obtain target confidence, wherein the target image is determined according to the data to be decompressed;
and judging whether the automobile parts are damaged according to the target confidence.
Optionally, a calculation formula for calculating the structural similarity between the target image and the current image of the automobile part is as follows:
wherein ,representing the confidence of the target>Representing the target image +.>Representing the current image +.>For the contrast mean value of the target image, +.>For the contrast mean value of the current image, +.>Is constant.
Optionally, the image compression algorithm comprises at least one of:
huffman coding;
arithmetic coding;
run length encoding.
Optionally, after the radio frequency reader-writer is used to read the radio frequency electronic tag on the automobile accessory to obtain the data to be decompressed, before the structural similarity calculation is performed on the target image and the current image of the automobile accessory to obtain the target confidence, the method further includes:
and decompressing the data to be decompressed by using an image decompression algorithm to obtain a target image.
Optionally, the image decompression algorithm is an inverse quantization algorithm.
In a second aspect, an embodiment of the present application provides a supply chain tracing system for an auto-part based on data processing, including:
the acquisition module is used for acquiring the contrast image data of the automobile fitting, wherein the contrast image data is an undamaged image of the automobile fitting;
the compression module is used for compressing the contrast image data by utilizing an image compression algorithm to obtain data to be written;
the writing module is used for writing the data to be written into the wireless radio frequency electronic tag and pasting the wireless radio frequency electronic tag to the automobile fitting;
the obtaining module is used for reading the wireless radio frequency electronic tag on the automobile fitting by using the radio frequency reader-writer to obtain data to be decompressed under the condition that an accident occurs to the automobile for transporting the automobile fitting;
the computing module is used for computing the structural similarity between the target image and the current image of the automobile part to obtain target confidence coefficient, wherein the target image is determined according to the data to be decompressed;
and the judging module is used for judging whether the automobile parts are damaged according to the target confidence level.
Optionally, a calculation formula for calculating the structural similarity between the target image and the current image of the automobile part is as follows:
wherein ,representing the confidence of the target>Representing the target image +.>Representing the current image +.>For the contrast mean value of the target image, +.>For the contrast mean value of the current image, +.>Is constant.
Optionally, when an accident occurs in a vehicle transporting the automobile part, the method further includes, after obtaining the data to be decompressed, performing structural similarity calculation on the target image and a current image of the automobile part to obtain the target confidence, using a radio frequency reader-writer to read a radio frequency electronic tag on the automobile part, and then:
and the decompression module is used for decompressing the data to be decompressed by using an image decompression algorithm to obtain a target image.
In a third aspect, an embodiment of the present application further provides an electronic device, including:
a transceiver, a memory, a processor, and a program stored on the memory and executable on the processor; characterized by a processor for reading a program in a memory implementing the steps of the supply chain traceability method of a data processing based automotive accessory according to any of the first aspects.
In a fourth aspect, an embodiment of the present application further provides a readable storage medium storing a program, where the program when executed by a processor implements the steps of the supply chain tracing method for an automobile accessory based on data processing according to the foregoing first aspect.
The improvement points of the embodiment of the application are as follows: (1) Writing the contrast image data into an electronic radio frequency tag in a compression mode and pasting the electronic radio frequency tag on an automobile accessory; (2) A calculation formula of the similarity, wherein the letter meaning in the formula is different from that in the prior art; (3) And judging whether the automobile parts are damaged according to the target confidence.
The application provides a supply chain tracing method and a supply chain tracing system for an automobile fitting based on data processing, which relate to the technical field of data processing and comprise the following steps: obtaining contrast image data of an automobile accessory; compressing the image data by using an image compression algorithm to obtain data to be written; writing the data to be written into the wireless radio frequency electronic tag, and pasting the wireless radio frequency electronic tag to the automobile fitting; under the condition that an accident occurs to a vehicle for transporting the automobile parts, a radio frequency reader-writer is utilized to read a radio frequency electronic tag on the automobile parts, so as to obtain data to be decompressed; carrying out structural similarity calculation on the target image and the current image of the automobile part to obtain target confidence coefficient, wherein the target image is determined according to data to be decompressed; and judging whether the automobile parts are damaged according to the target confidence. Therefore, when the automobile parts are in danger accidents, whether the automobile parts are damaged or not can be judged manually.
Drawings
Fig. 1 is a schematic flow chart of a supply chain tracing method of an automobile fitting based on data processing according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a supply chain traceability system of an automobile accessory based on data processing according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, in a first aspect, an embodiment of the present application provides a supply chain tracing method for an auto part based on data processing, including:
step 101, obtaining contrast image data of the automobile fitting, wherein the contrast image data is an undamaged image of the automobile fitting;
102, compressing the contrast image data by using an image compression algorithm to obtain data to be written;
step 103, writing the data to be written into a radio frequency electronic tag, and pasting the radio frequency electronic tag to the automobile accessory;
104, under the condition that an accident occurs to a vehicle transporting the automobile accessory, reading the wireless radio frequency electronic tag on the automobile accessory by using a radio frequency reader-writer to obtain data to be decompressed;
step 105, calculating the structural similarity between a target image and the current image of the automobile part to obtain a target confidence coefficient, wherein the target image is determined according to the data to be decompressed;
and step 106, judging whether the automobile parts are damaged according to the target confidence.
The application provides a supply chain tracing method and a supply chain tracing system for an automobile fitting based on data processing, which relate to the technical field of data processing and comprise the following steps: obtaining contrast image data of an automobile accessory; compressing the image data by using an image compression algorithm to obtain data to be written; writing the data to be written into the wireless radio frequency electronic tag, and pasting the wireless radio frequency electronic tag to the automobile fitting; under the condition that an accident occurs to a vehicle for transporting the automobile parts, a radio frequency reader-writer is utilized to read a radio frequency electronic tag on the automobile parts, so as to obtain data to be decompressed; carrying out structural similarity calculation on the target image and the current image of the automobile part to obtain target confidence coefficient, wherein the target image is determined according to data to be decompressed; and judging whether the automobile parts are damaged according to the target confidence. Therefore, when the automobile parts are in danger accidents, whether the automobile parts are damaged or not can be judged manually.
Optionally, a calculation formula for calculating the structural similarity between the target image and the current image of the automobile part is as follows:
wherein ,representing the confidence of the target>Representing the target image +.>Representing the current image +.>For the contrast mean value of the target image, +.>For the contrast mean value of the current image, +.>Is constant.
Optionally, the image compression algorithm comprises at least one of:
huffman coding;
arithmetic coding;
run length encoding.
Optionally, after the radio frequency reader-writer is used for reading the radio frequency electronic tag on the automobile accessory to obtain the data to be decompressed, before the structural similarity calculation is performed on the target image and the current image of the automobile accessory to obtain the target confidence, the method further comprises:
and decompressing the data to be decompressed by using an image decompression algorithm to obtain a target image.
Optionally, the image decompression algorithm is an inverse quantization algorithm.
Referring to fig. 2, an embodiment of the present application provides a supply chain tracing system for an auto-part based on data processing, including:
the acquiring module 201 is configured to acquire comparative image data of an automobile accessory, where the comparative image data is an undamaged image of the automobile accessory;
the compression module 202 is configured to compress the contrast image data by using an image compression algorithm to obtain data to be written;
the writing module 203 is configured to write data to be written into the radio frequency electronic tag, and paste the radio frequency electronic tag to an automobile accessory;
the obtaining module 204 is configured to, when an accident occurs in a vehicle transporting the automobile accessory, read a radio frequency electronic tag on the automobile accessory by using a radio frequency reader-writer, and obtain data to be decompressed;
the computing module 205 is configured to perform structural similarity computation on a target image and a current image of an automobile part to obtain a target confidence coefficient, where the target image is determined according to data to be decompressed;
and the judging module 206 is used for judging whether the automobile parts are damaged according to the target confidence.
Optionally, a calculation formula for calculating the structural similarity between the target image and the current image of the automobile part is as follows:
wherein ,representing the confidence of the target>Representing the target image +.>Representing the current image +.>For the contrast mean value of the target image, +.>For the contrast mean value of the current image, +.>Is constant.
Optionally, when an accident occurs in a vehicle transporting the automobile part, the method further includes, after obtaining the data to be decompressed, performing structural similarity calculation on the target image and a current image of the automobile part to obtain the target confidence, using a radio frequency reader-writer to read a radio frequency electronic tag on the automobile part, and then:
and the decompression module is used for decompressing the data to be decompressed by using an image decompression algorithm to obtain a target image.
The embodiment of the application also provides electronic equipment. Referring to fig. 3, an electronic device may include a processor 301, a memory 303, and a program 3031 stored on the memory 303 and executable on the processor 301.
The program 3031, when executed by the processor 301, may implement any steps and achieve the same advantageous effects in the corresponding embodiment of fig. 1, which will not be described herein.
Those of ordinary skill in the art will appreciate that all or a portion of the steps of the methods of the embodiments described above may be implemented by hardware associated with program instructions, and the program may be stored on a readable medium.
The embodiment of the present application further provides a readable storage medium, on which a computer program is stored, where the computer program when executed by a processor can implement any step in the embodiment corresponding to fig. 1, and achieve the same technical effects, and in order to avoid repetition, a description is omitted here.
The foregoing is a preferred implementation of the embodiments of the application, and it should be noted that modifications and variations can be made by those skilled in the art without departing from the principles of the application, and these modifications and variations should also be regarded as being within the scope of the application.

Claims (10)

1. A supply chain traceability method of an auto-part based on data processing, comprising:
obtaining contrast image data of the automobile fitting, wherein the contrast image data is an undamaged image of the automobile fitting;
compressing the contrast image data by using an image compression algorithm to obtain data to be written;
writing the data to be written into a radio frequency electronic tag, and pasting the radio frequency electronic tag to the automobile accessory;
under the condition that an accident occurs to a vehicle transporting the automobile fitting, the radio frequency electronic tag on the automobile fitting is read by a radio frequency reader-writer to obtain data to be decompressed;
performing structural similarity calculation on a target image and the current image of the automobile part to obtain target confidence, wherein the target image is determined according to the data to be decompressed;
and judging whether the automobile fitting is damaged according to the target confidence.
2. The supply chain tracing method of an automobile fitting based on data processing according to claim 1, wherein a calculation formula for calculating structural similarity between a target image and a current image of the automobile fitting is as follows:
wherein ,representing the confidence of the target>Representing the target image +.>Representing the current image +.>For the contrast mean value of the target image, +.>For the contrast mean value of the current image, +.>Is constant.
3. The data processing-based supply chain tracing method for an automobile part according to claim 1, wherein said image compression algorithm comprises at least one of the following:
huffman coding;
arithmetic coding;
run length encoding.
4. The method for tracing the supply chain of the auto-parts based on data processing according to claim 1, wherein after the radio frequency electronic tag on the auto-parts is read by the radio frequency reader-writer to obtain the data to be decompressed, the method further comprises, before the structural similarity calculation is performed between the target image and the current image of the auto-parts to obtain the target confidence, the steps of:
and decompressing the data to be decompressed by using an image decompression algorithm to obtain a target image.
5. The supply chain tracing method for an auto-parts based on data processing according to claim 1, wherein the image decompression algorithm is an inverse quantization algorithm.
6. A supply chain tracing system based on the supply chain tracing method of claim 1 to 5, wherein,
the acquisition module is used for acquiring the contrast image data of the automobile fitting, wherein the contrast image data is an undamaged image of the automobile fitting;
the compression module is used for compressing the contrast image data by utilizing an image compression algorithm to obtain data to be written;
the writing module is used for writing the data to be written into the wireless radio frequency electronic tag and pasting the wireless radio frequency electronic tag to the automobile accessory;
the obtaining module is used for reading the wireless radio frequency electronic tag on the automobile accessory by using a radio frequency reader-writer under the condition that an accident occurs to the vehicle for transporting the automobile accessory, so as to obtain data to be decompressed;
the computing module is used for computing the structural similarity between a target image and the current image of the automobile part to obtain target confidence coefficient, wherein the target image is determined according to the data to be decompressed;
and the judging module is used for judging whether the automobile fitting is damaged according to the target confidence coefficient.
7. The data processing-based supply chain traceability system of an automobile accessory according to claim 6, wherein the calculation formula for calculating the structural similarity between the target image and the current image of the automobile accessory is as follows:
wherein ,representing the confidence of the target>Representing the target image +.>Representing the current image +.>For the contrast mean value of the target image, +.>For the contrast mean value of the current image, +.>Is constant.
8. The supply chain traceability system of an automobile accessory based on data processing according to claim 6, wherein, in case of an accident occurring in a vehicle transporting the automobile accessory, the radio frequency reader-writer is used to read a radio frequency electronic tag on the automobile accessory, and after obtaining the data to be decompressed, the method further comprises, before performing structural similarity calculation on the target image and the current image of the automobile accessory, obtaining the target confidence:
and the decompression module is used for decompressing the data to be decompressed by using an image decompression algorithm to obtain a target image.
9. An electronic device, comprising: a transceiver, a memory, a processor, and a program stored on the memory and executable on the processor; a processor for reading a program in a memory to implement the steps in the supply chain traceability method of a data processing based automotive accessory according to any one of claims 1 to 5.
10. A readable storage medium storing a program, wherein the program when executed by a processor performs the steps in the supply chain tracing method for an auto-parts based on data processing according to any one of claims 1 to 5.
CN202310712249.4A 2023-06-15 2023-06-15 Supply chain tracing method of automobile parts based on data processing and related equipment Pending CN116843926A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310712249.4A CN116843926A (en) 2023-06-15 2023-06-15 Supply chain tracing method of automobile parts based on data processing and related equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310712249.4A CN116843926A (en) 2023-06-15 2023-06-15 Supply chain tracing method of automobile parts based on data processing and related equipment

Publications (1)

Publication Number Publication Date
CN116843926A true CN116843926A (en) 2023-10-03

Family

ID=88168082

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310712249.4A Pending CN116843926A (en) 2023-06-15 2023-06-15 Supply chain tracing method of automobile parts based on data processing and related equipment

Country Status (1)

Country Link
CN (1) CN116843926A (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090308918A1 (en) * 2008-06-11 2009-12-17 Siemens Aktiengesellschaft Method and apparatus for monitoring the transportation of a luggage item
CN102170581A (en) * 2011-05-05 2011-08-31 天津大学 Human-visual-system (HVS)-based structural similarity (SSIM) and characteristic matching three-dimensional image quality evaluation method
CN102194139A (en) * 2010-03-15 2011-09-21 欧姆龙株式会社 Tag communication apparatus, tag communication apparatus control method, and tag communication apparatus control program
CN202838413U (en) * 2012-10-25 2013-03-27 公安部第三研究所 Spot physical evidence traceable management system
US20150348282A1 (en) * 2014-09-26 2015-12-03 Shyp, Inc. Image processing and item transport
CN108268903A (en) * 2018-01-30 2018-07-10 深圳市盛路物联通讯技术有限公司 Article control method, device, readable storage medium storing program for executing and control terminal
CN114170427A (en) * 2021-11-12 2022-03-11 河海大学 Wireless microwave rain attenuation model SSIM image similarity evaluation method based on rain cells

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090308918A1 (en) * 2008-06-11 2009-12-17 Siemens Aktiengesellschaft Method and apparatus for monitoring the transportation of a luggage item
CN102194139A (en) * 2010-03-15 2011-09-21 欧姆龙株式会社 Tag communication apparatus, tag communication apparatus control method, and tag communication apparatus control program
CN102170581A (en) * 2011-05-05 2011-08-31 天津大学 Human-visual-system (HVS)-based structural similarity (SSIM) and characteristic matching three-dimensional image quality evaluation method
CN202838413U (en) * 2012-10-25 2013-03-27 公安部第三研究所 Spot physical evidence traceable management system
US20150348282A1 (en) * 2014-09-26 2015-12-03 Shyp, Inc. Image processing and item transport
CN108268903A (en) * 2018-01-30 2018-07-10 深圳市盛路物联通讯技术有限公司 Article control method, device, readable storage medium storing program for executing and control terminal
CN114170427A (en) * 2021-11-12 2022-03-11 河海大学 Wireless microwave rain attenuation model SSIM image similarity evaluation method based on rain cells

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
何艳敏 等: "《基于稀疏表示的图像压缩和去噪理论与应用》", vol. 2016, 30 November 2016, 电子科技大学出版社, pages: 17 - 19 *

Similar Documents

Publication Publication Date Title
EP3723048A1 (en) Method and apparatus for coding and decoding using a convolutional neural network
CN110175641B (en) Image recognition method, device, equipment and storage medium
US20220130074A1 (en) Method, device, and storage medium for data encoding/decoding
CN111984597A (en) File storage method, device, equipment and medium
CN116843926A (en) Supply chain tracing method of automobile parts based on data processing and related equipment
CN108053034B (en) Model parameter processing method and device, electronic equipment and storage medium
US9380316B2 (en) Image processing apparatus, image processing system and image processing method
US9479799B1 (en) Compression using an iterative data derived basis set
CN111221734B (en) Verification method and device for graphic interface and computer storage medium
EP4344069A2 (en) Data compression method and apparatus and data decompression method and apparatus
US6738520B1 (en) Method of compressing an image
CN114419193B (en) Image drawing method, image drawing device, electronic equipment and computer-readable storage medium
CN114120206A (en) Vehicle end target detection method and device based on mobile end
Das Gupta et al. Non-convex p-norm projection for robust sparsity
US20150205988A1 (en) Method for reading data stored in an electronic device for a tyre
US8077985B2 (en) Device, method, and program for compressing image data
CN113888635A (en) Visual positioning method, related device and computer program product
CN111385578B (en) Data decompression method applied to FPGA, imaging device and automobile
US20110142333A1 (en) Image processing apparatus and computer readable medium
CN113157987A (en) Data preprocessing method for machine learning algorithm and related equipment
CN112287725A (en) Vehicle part identification method, device and system
CN112711584A (en) Data checking method, checking device, terminal equipment and readable storage medium
CN110781664A (en) File repair method and device
US20150356791A1 (en) Apparatus and method for processing card information
CN110569873A (en) Image recognition model training method and device and computer equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination