CN111753829A - Vehicle comprehensive information acquisition device based on trusted computing - Google Patents

Vehicle comprehensive information acquisition device based on trusted computing Download PDF

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Publication number
CN111753829A
CN111753829A CN202010550287.0A CN202010550287A CN111753829A CN 111753829 A CN111753829 A CN 111753829A CN 202010550287 A CN202010550287 A CN 202010550287A CN 111753829 A CN111753829 A CN 111753829A
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vehicle
license plate
information acquisition
comprehensive information
data
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蔡鹏�
黎铁
刘赢
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Dewei Trust Suzhou Technology Co ltd
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Dewei Trust Suzhou Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/62Text, e.g. of license plates, overlay texts or captions on TV images
    • G06V20/63Scene text, e.g. street names
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/51Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/5866Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60Protecting data
    • G06F21/602Providing cryptographic facilities or services
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • G06V40/166Detection; Localisation; Normalisation using acquisition arrangements
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2221/00Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/21Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/2107File encryption
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/62Text, e.g. of license plates, overlay texts or captions on TV images
    • G06V20/625License plates
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/08Detecting or categorising vehicles

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Library & Information Science (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Human Computer Interaction (AREA)
  • Oral & Maxillofacial Surgery (AREA)
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  • Computer Hardware Design (AREA)
  • Computer Security & Cryptography (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses a vehicle comprehensive information acquisition device based on trusted computing, which measures the credibility of software modules such as vehicle license plates, vehicle types, face recognition, MAC scanning and data fusion units through a credible software stack measurement information acquisition software module, a vehicle comprehensive information acquisition system acquires multi-angle photos of vehicles through a camera sensor, and performs vehicle comprehensive information portrayal on vehicle type recognition, face recognition and MAC address recognition information by taking the license plate number as an index. Meanwhile, the device provides physical protection based on the trusted chip, and can prevent the system from being invaded and damaged.

Description

Vehicle comprehensive information acquisition device based on trusted computing
Technical Field
The invention relates to the technical field of vehicle comprehensive information acquisition, in particular to a vehicle comprehensive information acquisition device based on trusted computing.
Background
With the deep development of information technology and artificial intelligence, the human society is transitioning from the information-oriented society to the intelligent society, and a large number of infrastructures are facing the transition from automation and informatization to intelligence. With wisdom traffic as an example, various sensors have been deployed in the intelligent car for automatic driver assistance on the road to can seek the parking area that can stay in around automatically, greatly alleviate traffic pressure, make things convenient for people to go on a journey. In this process, the vehicle information management system plays an important role. The vehicle management system is an automatic management system for realizing vehicle access and guidance in a parking lot. However, the existing management system has a single and simple function, and cannot meet the requirements of comprehensive information identification, collection and intelligent processing of vehicles in the future. Meanwhile, the vehicle information acquisition system is often exposed in an external uncontrollable environment, and faces corresponding threats such as hacker intrusion and violent destruction, and needs to be reinforced through a safety means urgently to ensure that the vehicle information acquisition system is always in a controlled state, so that a vehicle comprehensive information acquisition device based on trusted computing is provided.
Disclosure of Invention
The invention aims to provide a vehicle comprehensive information acquisition device based on trusted computing to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: the invention discloses a vehicle comprehensive information acquisition device based on trusted computing, which has effectiveness depending on the following three conditions:
(1) the vehicle comprehensive information acquisition device is provided with a trusted computing chip and uses trusted starting in the starting process.
(2) The vehicle comprehensive information acquisition device can work cooperatively.
(3) The vehicle comprehensive information acquisition device is connected with various sensors (an MAC network scanning sensor, a license plate recognition sensor, a face recognition sensor and the like).
The main process of the invention comprises the following steps:
step 1: the vehicle comprehensive acquisition equipment is powered on, and the credibility measurement of key hardware and a credible software stack is completed by means of a general credible calculation method, so that a safe and reliable starting environment is ensured.
Step 2: and starting an operating system and a trusted software stack, and measuring software modules such as a vehicle license plate, a vehicle type, a face recognition unit, an MAC scanning unit, a data fusion unit and the like by the trusted software stack measurement information acquisition software module to perform trusted measurement so as to verify whether the result is correct. If an error occurs, the starting process is stopped, and an alarm signal and alarm information are sent out.
And step 3: and if the verification result is correct, the vehicle comprehensive information acquisition system acquires the license plate pictures of the vehicle through the license plate recognition camera sensor, and performs license plate recognition to obtain license plate information.
And 4, step 4: the vehicle comprehensive information acquisition system acquires multi-angle photos of the vehicle through the camera sensor and performs data encryption storage by taking the license plate number as an index.
And 5: the vehicle comprehensive information acquisition system monitors each channel through a wireless network sensor (router), acquires MAC address information in each communication channel in the current area, and then calls a trusted chip data protection interface to perform data encryption storage by taking a license plate number as an index.
Step 6: the vehicle comprehensive information acquisition system acquires face photo data through the camera and performs data encryption storage by taking the license plate number as an index.
And 7, performing data fusion through the data fusion unit, taking the license plate number as an index, and performing vehicle comprehensive information portrayal on vehicle type identification, face identification and MAC address identification information.
Preferably, the flow of the data fusion unit in step 7 includes the following steps:
step 7-1: based on the trusted chip, extracting the stored data according to the license plate information as an index, and then decrypting the stored data;
step 7-2: matching and calculating multi-angle pictures shot by a plurality of or single camera sensors, extracting characteristic values, carrying out envelope calculation, and comparing the envelope calculation with data of a vehicle type database to finish vehicle type identification;
and 7-3: and the face identification is completed by extracting and calculating the characteristic value of the face photo and comparing the characteristic value with local face characteristic data. If the face is not identified, a non-repeated unique temporary number is generated to correspond to the face;
and 7-4: performing differential calculation (namely the difference value of the MAC address sets after the vehicle enters the field and before the vehicle enters the field) on the recorded MAC address information to obtain possible vehicle matching MAC addresses;
and 7-5: by a data fusion unit, vehicle types, face recognition information and MAC address information are summarized by taking the license plate number as an index, and a comprehensive information portrait of the vehicle is formed;
and 7-6: the comprehensive information portrait of the vehicle is encrypted and stored through the credible chip, and the corresponding data acquisition and fusion process can be repeated by taking the license plate number as an index.
Compared with the prior art, the invention has the beneficial effects that: the device is reasonable in structural design, and a trusted starting process and a core software trusted measuring process of the device are completed through the trusted chip; and the comprehensive information portrait of the vehicle is comprehensively drawn through the information recognition of the license plate, the vehicle type, the human face, the MAC and the like which are arranged in the device. By the method, a comprehensive information acquisition device can be constructed on the basis of a credible chip, so that the correctness of key hardware components and software modules is ensured, information such as license plates, vehicle types, drivers, MAC (media access control) and the like is integrated, a comprehensive portrait is established for the vehicle, and accurate and personalized service is provided; related information storage can be completed through a data encryption and decryption mechanism of the trusted chip storage device, physical devices are prevented from being invaded and damaged through a trusted computing technology, and a correct and accurate operating environment of the information acquisition device is guaranteed; by adopting a multi-angle shooting and data fusion method, the accuracy of vehicle type recognition and face recognition is improved; by adopting the methods of license plate, vehicle type, face recognition and MAC address recognition, the comprehensive information of the vehicle is determined in multiple dimensions, and the vehicle data is improved and enriched.
Drawings
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a schematic view of a process of fusing information images with multi-dimensional data according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 and fig. 2, the present invention provides a technical solution:
and (3) trusted root: a root of trust is hardware on which trusted computing technology relies, typically including cryptographic cores, measurement code, protected memory space, and the like.
And (3) trusted computing: based on the root of trust, the trust measurement is carried out on the key components of the platform in the computer system one by one, and the method comprises the steps of starting from the root of trust to a software and hardware platform, to an operating system and then to an application, authenticating the first-level measurement and authenticating the first-level trust, extending the trust chain to the whole computer system, and ensuring the trust of the whole computer system.
Example 1
The invention discloses a vehicle comprehensive information acquisition device based on trusted computing, which has effectiveness depending on the following three conditions:
(1) the vehicle comprehensive information acquisition device is provided with a trusted computing chip and uses trusted starting in the starting process.
(2) The vehicle comprehensive information acquisition device can work cooperatively.
(3) The vehicle comprehensive information acquisition device is connected with various sensors (an MAC network scanning sensor, a license plate recognition sensor, a face recognition sensor and the like).
The main process of the invention comprises the following steps:
step 1: the vehicle comprehensive acquisition equipment is powered on, and the credibility measurement of key hardware and a credible software stack is completed by means of a general credible calculation method, so that a safe and reliable starting environment is ensured.
Step 2: and starting an operating system and a trusted software stack, and measuring software modules such as a vehicle license plate, a vehicle type, a face recognition unit, an MAC scanning unit, a data fusion unit and the like by the trusted software stack measurement information acquisition software module to perform trusted measurement so as to verify whether the result is correct. If an error occurs, the starting process is stopped, and an alarm signal and alarm information are sent out.
And step 3: if the verification result is correct, the vehicle comprehensive information acquisition system is arranged at the entrance of the parking lot, and the license plate images of the vehicles are acquired through the license plate identification camera sensor to carry out license plate identification so as to obtain license plate information.
And 4, step 4: the vehicle comprehensive information acquisition system acquires multi-angle photos of the vehicle through the camera sensor and performs data encryption storage by taking the license plate number as an index.
And 5: the vehicle comprehensive information acquisition system monitors each channel through a wireless network sensor (router), acquires MAC address information in each communication channel in the current area, and then calls a trusted chip data protection interface to perform data encryption storage by taking a license plate number as an index.
Step 6: the vehicle comprehensive information acquisition system acquires face photo data through the camera and performs data encryption storage by taking the license plate number as an index.
And 7, performing data fusion through the data fusion unit, taking the license plate number as an index, and performing vehicle comprehensive information portrayal on vehicle type identification, face identification and MAC address identification information.
The flow of the data fusion unit in step 7 comprises the following steps:
step 7-1: based on the trusted chip, extracting the stored data according to the license plate information as an index, and then decrypting the stored data;
step 7-2: matching and calculating multi-angle pictures shot by a plurality of or single camera sensors, extracting characteristic values, carrying out envelope calculation, and comparing the envelope calculation with data of a vehicle type database to finish vehicle type identification;
and 7-3: and the face identification is completed by extracting and calculating the characteristic value of the face photo and comparing the characteristic value with local face characteristic data. If the face is not identified, a non-repeated unique temporary number is generated to correspond to the face;
and 7-4: performing differential calculation (namely the difference value of the MAC address sets after the vehicle enters the field and before the vehicle enters the field) on the recorded MAC address information to obtain possible vehicle matching MAC addresses;
and 7-5: by a data fusion unit, vehicle types, face recognition information and MAC address information are summarized by taking the license plate number as an index, and a comprehensive information portrait of the vehicle is formed;
and 7-6: the comprehensive information portrait of the vehicle is encrypted and stored through a credible chip, and when the vehicle enters the parking lot again, the license plate number is used as an index, and the corresponding data acquisition and fusion processes are repeated;
example 2
The invention discloses a vehicle comprehensive information acquisition device based on trusted computing, which has effectiveness depending on the following three conditions:
(1) the vehicle comprehensive information acquisition device is provided with a trusted computing chip and uses trusted starting in the starting process.
(2) The vehicle comprehensive information acquisition device can work cooperatively.
(3) The vehicle comprehensive information acquisition device is connected with various sensors (an MAC network scanning sensor, a license plate recognition sensor, a face recognition sensor and the like).
The main process of the invention comprises the following steps:
step 1: the vehicle comprehensive acquisition equipment is powered on, and the credibility measurement of key hardware and a credible software stack is completed by means of a general credible calculation method, so that a safe and reliable starting environment is ensured.
Step 2: and starting an operating system and a trusted software stack, and measuring software modules such as a vehicle license plate, a vehicle type, a face recognition unit, an MAC scanning unit, a data fusion unit and the like by the trusted software stack measurement information acquisition software module to perform trusted measurement so as to verify whether the result is correct. If an error occurs, the starting process is stopped, and an alarm signal and alarm information are sent out.
And step 3: if the verification result is correct, the vehicle comprehensive information acquisition system is arranged on a traffic light or a road pole, and the license plate identification camera sensor is used for acquiring the license plate pictures of the vehicle and identifying the license plate to obtain the license plate information.
And 4, step 4: the vehicle comprehensive information acquisition system acquires multi-angle photos of the vehicle through the camera sensor and performs data encryption storage by taking the license plate number as an index.
And 5: the vehicle comprehensive information acquisition system monitors each channel through a wireless network sensor (router), acquires MAC address information in each communication channel in the current area, and then calls a trusted chip data protection interface to perform data encryption storage by taking a license plate number as an index.
Step 6: the vehicle comprehensive information acquisition system acquires face photo data through the camera and performs data encryption storage by taking the license plate number as an index.
And 7, performing data fusion through the data fusion unit, taking the license plate number as an index, and performing vehicle comprehensive information portrayal on vehicle type identification, face identification and MAC address identification information.
The flow of the data fusion unit in step 7 comprises the following steps:
step 7-1: based on the trusted chip, extracting the stored data according to the license plate information as an index, and then decrypting the stored data;
step 7-2: matching and calculating multi-angle pictures shot by a plurality of or single camera sensors, extracting characteristic values, carrying out envelope calculation, and comparing the envelope calculation with data of a vehicle type database to finish vehicle type identification;
and 7-3: and the face identification is completed by extracting and calculating the characteristic value of the face photo and comparing the characteristic value with local face characteristic data. If the face is not identified, a non-repeated unique temporary number is generated to correspond to the face;
and 7-4: performing differential calculation (namely the difference value of the MAC address sets after the vehicle enters the field and before the vehicle enters the field) on the recorded MAC address information to obtain possible vehicle matching MAC addresses;
and 7-5: by a data fusion unit, vehicle types, face recognition information and MAC address information are summarized by taking the license plate number as an index, and a comprehensive information portrait of the vehicle is formed;
and 7-6: the comprehensive information portrait of the vehicle is encrypted and stored through the credible chip, and when the vehicle enters the traffic light or the vicinity of the road pole again, the license plate number is used as an index, and the corresponding data acquisition and fusion process is repeated.
The technologies closest to or related to this patent content include:
1. the technology carries out credible measurement on the physical environment and the software environment of the computer system through a built-in credible chip to prevent the computer system from being invaded and damaged;
2. the license plate recognition technology comprises the steps of obtaining images of the head and the tail of a vehicle through a camera to obtain corresponding license plate pictures, and finally obtaining corresponding license plate numbers through an image processing technology;
3. the vehicle type identification technology comprises the steps of acquiring three-dimensional contour information of a vehicle through a camera, extracting corresponding characteristic values, comparing the characteristic values with a characteristic library, and finally obtaining corresponding vehicle types;
4. the technology of face recognition can finish feature extraction and comparison aiming at the face by shooting the face of the face, and can determine the identity of a person.
The invention completes the credible starting process and the credible measuring process of the core software of the device through the credible chip; and the comprehensive information portrait of the vehicle is comprehensively drawn through the information recognition of the license plate, the vehicle type, the human face, the MAC and the like which are arranged in the device. By the method, a comprehensive information acquisition device can be constructed on the basis of a credible chip, so that the correctness of key hardware components and software modules is ensured, information such as license plates, vehicle types, drivers, MAC (media access control) and the like is integrated, a comprehensive portrait is established for the vehicle, and accurate and personalized service is provided; and the relevant information storage can be completed through the data encryption and decryption mechanism of the trusted chip storage device.
TCG standard:
specifications) Module Platform Trusted Platform Module Specification (Trusted)
TCG architecture Overall Specification (architecture overview)
The national credible computing standard is as follows:
GB _ T29828 information security technology trusted computing specification trusted connection architecture.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (2)

1. The utility model provides a vehicle integrated information collection system based on trusted computing which characterized in that: the effectiveness of the present invention relies on the following three conditions:
(1) the vehicle comprehensive information acquisition device is provided with a trusted computing chip and uses trusted start in the starting process;
(2) the vehicle comprehensive information acquisition devices can work cooperatively;
(3) the vehicle comprehensive information acquisition device is accessed to various sensors (an MAC network scanning sensor, a license plate recognition sensor, a face recognition sensor and the like);
the main process of the invention comprises the following steps:
step 1: the vehicle comprehensive acquisition equipment is powered on, and the credibility measurement of key hardware and a credible software stack is completed by means of a general credible calculation method, so that a safe and reliable starting environment is ensured;
step 2: starting an operating system and a trusted software stack, measuring software modules such as a vehicle license plate, a vehicle type, a face recognition unit, an MAC scanning unit, a data fusion unit and the like by the trusted software stack measurement information acquisition software module, and verifying whether a result is correct or not;
if an error occurs, stopping the starting process and sending an alarm signal and alarm information;
and step 3: if the verification result is correct, the vehicle comprehensive information acquisition system acquires the license plate picture of the vehicle through the license plate recognition camera sensor, and performs license plate recognition to obtain license plate information;
and 4, step 4: the vehicle comprehensive information acquisition system acquires multi-angle pictures of the vehicle through a camera sensor, and data encryption storage is carried out by taking the license plate number as an index;
and 5: the vehicle comprehensive information acquisition system monitors each channel through a wireless network sensor (router), acquires MAC address information in each communication channel in the current area, calls a trusted chip data protection interface, and performs data encryption storage by taking a license plate number as an index;
step 6: the vehicle comprehensive information acquisition system acquires face photo data through a camera, and encrypts and stores the data by taking a license plate number as an index;
and 7, performing data fusion through the data fusion unit, taking the license plate number as an index, and performing vehicle comprehensive information portrayal on vehicle type identification, face identification and MAC address identification information.
2. The vehicle comprehensive information acquisition device based on trusted computing as claimed in claim 1, wherein: the flow of the data fusion unit in step 7 comprises the following steps:
step 7-1: based on the trusted chip, extracting the stored data according to the license plate information as an index, and then decrypting the stored data;
step 7-2: matching and calculating multi-angle pictures shot by a plurality of or single camera sensors, extracting characteristic values, carrying out envelope calculation, and comparing the envelope calculation with data of a vehicle type database to finish vehicle type identification;
and 7-3: the characteristic value of the face photo is extracted and calculated, and is compared with local face characteristic data to finish face recognition;
if the face is not identified, a non-repeated unique temporary number is generated to correspond to the face;
and 7-4: performing differential calculation (namely the difference value of the MAC address sets after the vehicle enters the field and before the vehicle enters the field) on the recorded MAC address information to obtain possible vehicle matching MAC addresses;
and 7-5: by a data fusion unit, vehicle types, face recognition information and MAC address information are summarized by taking the license plate number as an index, and a comprehensive information portrait of the vehicle is formed;
and 7-6: the comprehensive information portrait of the vehicle is encrypted and stored through the credible chip, and the corresponding data acquisition and fusion process can be repeated by taking the license plate number as an index.
CN202010550287.0A 2020-06-16 2020-06-16 Vehicle comprehensive information acquisition device based on trusted computing Pending CN111753829A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113537332A (en) * 2021-07-09 2021-10-22 浙江御安信息技术有限公司 Internet of things equipment information acquisition method based on big data

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20150039367A (en) * 2013-10-02 2015-04-10 주식회사 유라이프소프트 Licence plate recognition system
CN110008298A (en) * 2019-03-28 2019-07-12 武汉星视源科技有限公司 Parking multidimensional information aware application system and method
CN110598023A (en) * 2019-09-02 2019-12-20 汉腾汽车有限公司 Wisdom police car removes big data platform

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20150039367A (en) * 2013-10-02 2015-04-10 주식회사 유라이프소프트 Licence plate recognition system
CN110008298A (en) * 2019-03-28 2019-07-12 武汉星视源科技有限公司 Parking multidimensional information aware application system and method
CN110598023A (en) * 2019-09-02 2019-12-20 汉腾汽车有限公司 Wisdom police car removes big data platform

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
王群: "车联网的安全机制及关键技术研究", 中国博士学位论文全文数据库, pages 60 - 128 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113537332A (en) * 2021-07-09 2021-10-22 浙江御安信息技术有限公司 Internet of things equipment information acquisition method based on big data
CN113537332B (en) * 2021-07-09 2023-02-24 浙江御安信息技术有限公司 Internet of things equipment information acquisition method based on big data

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