CN112116106B - Device self-checking system based on display characteristic search - Google Patents
Device self-checking system based on display characteristic search Download PDFInfo
- Publication number
- CN112116106B CN112116106B CN201911254280.8A CN201911254280A CN112116106B CN 112116106 B CN112116106 B CN 112116106B CN 201911254280 A CN201911254280 A CN 201911254280A CN 112116106 B CN112116106 B CN 112116106B
- Authority
- CN
- China
- Prior art keywords
- equipment
- display
- image
- fault
- feature
- 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.)
- Active
Links
- 238000012423 maintenance Methods 0.000 claims abstract description 22
- 238000000605 extraction Methods 0.000 claims abstract description 20
- 238000003860 storage Methods 0.000 claims abstract description 13
- 238000012545 processing Methods 0.000 claims description 33
- 238000007689 inspection Methods 0.000 claims description 21
- 238000010521 absorption reaction Methods 0.000 claims description 4
- 230000035939 shock Effects 0.000 claims description 4
- 229910000831 Steel Inorganic materials 0.000 claims description 2
- 239000010959 steel Substances 0.000 claims description 2
- 238000010191 image analysis Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 238000001514 detection method Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 239000011521 glass Substances 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 1
- 238000009529 body temperature measurement Methods 0.000 description 1
- 238000005255 carburizing Methods 0.000 description 1
- 239000000969 carrier Substances 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007123 defense Effects 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000005272 metallurgy Methods 0.000 description 1
- 230000005298 paramagnetic effect Effects 0.000 description 1
- 238000003909 pattern recognition Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 238000005245 sintering Methods 0.000 description 1
- 238000013024 troubleshooting Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
- G06F3/04845—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/14—Digital output to display device ; Cooperation and interconnection of the display device with other functional units
- G06F3/1407—General aspects irrespective of display type, e.g. determination of decimal point position, display with fixed or driving decimal point, suppression of non-significant zeros
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
- G06T3/4007—Scaling of whole images or parts thereof, e.g. expanding or contracting based on interpolation, e.g. bilinear interpolation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Computer Interaction (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a device self-checking system based on display characteristic search, which comprises: the characteristic identification equipment is arranged in the portable device and used for searching the display characteristics of the received image based on various display characteristics and outputting the searched image area where the display characteristics with the largest occupied area are located as a reference image area; and the fault extraction device is used for inquiring the corresponding fault type with the maximum probability and the maintenance price corresponding to the fault type from the field storage device based on the display characteristics corresponding to the received reference image area so as to respectively serve as the target fault type and the target maintenance price. The device self-checking system based on the display characteristic search is effective in checking and has a certain automation level. Due to the fact that the corresponding relation between the display characteristics and the fault types and the maintenance price is determined in advance, the current fault types can be located automatically, and reliability of maintenance quotation data is guaranteed.
Description
Technical Field
The invention relates to the field of portable equipment, in particular to a device self-checking system based on display characteristic search.
Background
A portable device refers to a device that is easily carried between usage sites. Not more than 5kg of a device that is easy to handle without a handle, and not more than 23kg of a device with a handle, are portable devices.
In particular, a portable device refers to a communication terminal device that is small and lightweight and can be carried around. Communication terminal equipment such as digital mobile phones, mobile phones and the like, including SIM cards and GSM and CDMA mobile phones. The SIM card is used to prove the identity of the user and information security, and provides a communication function. GSM and CDMA mobile phones are carriers of portable terminals.
The concept of portable devices is small, lightweight, and portable communication terminal devices. A digital mobile phone is a portable terminal. Digital mobile phones can be divided into two main types, GSM mobile phones and CDMA mobile phones, from the basic technology used: the portable mode can be divided into two modes of a vehicle-mounted machine and a handset (short for mobile phone).
Disclosure of Invention
The invention has at least the following two important points:
(1) introducing customized storage equipment for pre-storing the fault type with the maximum probability corresponding to each display characteristic and the maintenance price corresponding to the fault type;
(2) when the display characteristics related to the fault occur, the portable device takes the searched display characteristics with the largest occupied area as the key elements of fault searching.
According to an aspect of the present invention, there is provided a device self-inspection system based on display characteristic search, the system including:
the field storage equipment is arranged in the portable device and is used for pre-storing the fault type with the maximum probability corresponding to each display characteristic and the maintenance price corresponding to the fault type;
the signal extraction equipment is arranged near the display cache equipment in the portable device and is used for collecting the current display content of the portable device so as to obtain a current content image;
the enhancement processing equipment is connected with the signal extraction equipment and is used for carrying out image data enhancement processing on the received current content image so as to obtain a data enhanced image;
the sharpening processing device is connected with the enhancement processing device and is used for carrying out image data sharpening processing on the received data enhanced image so as to obtain a corresponding data sharpened image;
the interpolation processing device is connected with the sharpening processing device and used for executing cubic polynomial interpolation processing on the received data sharpened image to obtain a polynomial interpolation image;
the characteristic identification equipment is arranged in the portable device, is connected with the interpolation processing equipment, and is used for receiving the polynomial interpolation image, searching the display characteristics of the polynomial interpolation image based on various display characteristics, and outputting an image area where the searched display characteristics with the largest occupied area are located as a reference image area;
the fault extraction device is respectively connected with the feature identification device and the field storage device and is used for inquiring a corresponding fault type with the maximum probability and a maintenance price corresponding to the fault type from the field storage device based on the display feature corresponding to the received reference image area so as to respectively serve as a target fault type and a target maintenance price;
wherein the various display features include different numbers of twill, different numbers of stripe, and different numbers of wale, and further include different densities of twill, different densities of stripe, and different densities of wale.
The device self-checking system based on the display characteristic search is effective in checking and has a certain automation level. Due to the fact that the corresponding relation between the display characteristics and the fault types and the maintenance price is determined in advance, the current fault types can be located automatically, and reliability of maintenance quotation data is guaranteed.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a block diagram showing a configuration of a first example of a device self-inspection system based on display characteristic search according to an embodiment of the present invention.
Fig. 2 is a block diagram showing a configuration of a second example of a device self-inspection system based on display characteristic search according to an embodiment of the present invention.
Detailed Description
Embodiments of the display characteristic search based device self-inspection system according to the present invention will be described in detail with reference to the accompanying drawings.
Image analysis (image analysis) and image processing (image processing) are closely related, and intersect each other to some extent, but are different from each other. Image processing focuses on studies on signal processing, such as adjustment of image contrast, image coding, denoising, and various filtering. Image analysis focuses more on studying the content of the image, including but not limited to various techniques using image processing, which tends to analyze, interpret, and recognize the content of the image. Thus, pattern recognition and computer vision in the field of image analysis and computer science are more closely related.
Image analysis generally utilizes mathematical models in conjunction with image processing techniques to analyze underlying features and overlying structures to extract information with some intelligence.
In the prior art, fault detection and maintenance pricing of portable equipment are carried out in a manual troubleshooting and manual pricing mode, on one hand, the manual detection mode has high error and certain randomness in pricing, and on the other hand, a maintenance client has doubt on fault positioning results and maintenance prices of the manual mode, so that the maintenance client can be in a loitering state between maintenance and non-maintenance.
In order to overcome the defects, the invention builds a device self-checking system based on display characteristic search, and can effectively solve the corresponding technical problem.
< first embodiment >
Fig. 1 is a block diagram showing a configuration of a first example of a device self-inspection system based on display characteristic search according to an embodiment of the present invention, the system including:
the field storage equipment is arranged in the portable device and is used for pre-storing the fault type with the maximum probability corresponding to each display characteristic and the maintenance price corresponding to the fault type;
the signal extraction equipment is arranged near the display cache equipment in the portable device and is used for collecting the current display content of the portable device so as to obtain a current content image;
the enhancement processing equipment is connected with the signal extraction equipment and is used for carrying out image data enhancement processing on the received current content image so as to obtain a data enhanced image;
the sharpening processing device is connected with the enhancement processing device and is used for carrying out image data sharpening processing on the received data enhanced image so as to obtain a corresponding data sharpened image;
the interpolation processing device is connected with the sharpening processing device and used for executing cubic polynomial interpolation processing on the received data sharpened image to obtain a polynomial interpolation image;
the characteristic identification equipment is arranged in the portable device, is connected with the interpolation processing equipment, and is used for receiving the polynomial interpolation image, searching the display characteristics of the polynomial interpolation image based on various display characteristics, and outputting an image area where the searched display characteristics with the largest occupied area are located as a reference image area;
the fault extraction device is respectively connected with the feature identification device and the field storage device and is used for inquiring a corresponding fault type with the maximum probability and a maintenance price corresponding to the fault type from the field storage device based on the display feature corresponding to the received reference image area so as to respectively serve as a target fault type and a target maintenance price;
wherein the various display features include different numbers of twill, different numbers of stripe, and different numbers of wale, and further include different densities of twill, different densities of stripe, and different densities of wale.
In the device self-inspection system based on display feature search:
the field storage device is further connected with the feature identification device and used for temporarily storing the received reference image area.
< second embodiment >
Fig. 2 is a block diagram showing a configuration of a second example of a device self-inspection system based on display characteristic search according to an embodiment of the present invention.
In the display characteristic search-based device self-inspection system, in addition to the respective constituent elements included in the first embodiment, the system further includes:
and the hard disk equipment is used for storing various configuration parameters of the feature identification equipment.
In the device self-inspection system based on display feature search:
the hard disk equipment adopts rubber shock absorption.
In the device self-inspection system based on display feature search:
the hard disk equipment adopts steel wires to avoid vibration.
In the device self-inspection system based on display feature search:
the hard disk equipment adopts electronic shock absorption.
In the display feature search based device self-inspection system, the system further comprises:
a pickup device located near the feature identification device for collecting real-time audio data of the environment in which the feature identification device is located in real time
In the device self-inspection system based on display feature search:
the feature identification equipment and the fault extraction equipment are respectively realized by SOC chips with different models;
wherein the feature recognition device and the fault extraction device are integrated on the same printed circuit board.
In the display feature search based device self-inspection system, the system further comprises:
and the temperature sensing equipment is respectively connected with the feature identification equipment and the fault extraction equipment and is used for respectively detecting the shell temperature of the feature identification equipment and the shell temperature of the fault extraction equipment.
In addition, the temperature sensing device comprises two contact temperature sensors, which are respectively connected with the feature identification device and the fault extraction device and are used for respectively detecting the shell temperature of the feature identification device and the fault extraction device.
The detection part of the contact temperature sensor is in good contact with a measured object, and is also called as a thermometer. The thermometer reaches thermal balance through conduction or convection, so that the indication value of the thermometer can directly represent the temperature of the measured object, the measurement precision is high generally, and the thermometer can also measure the temperature distribution in the object within a certain temperature measurement range. But large measurement errors occur for moving bodies, small targets, or objects with small heat capacities. Commonly used thermometers include bimetallic thermometers, glass liquid thermometers, pressure thermometers, resistance thermometers, thermistors, thermocouples, and the like. They are widely used in industrial, agricultural, commercial, etc. sectors. These thermometers are also commonly used by people in everyday life. With the widespread application of cryogenic technology in the departments of national defense engineering, space technology, metallurgy, electronics, food, medicine, petrochemical industry and the like and the research of superconducting technology, cryothermometers for measuring temperatures below 120K, such as low-temperature gas thermometers, vapor pressure thermometers, acoustic thermometers, paramagnetic salt thermometers, quantum thermometers, low-temperature thermal resistors, low-temperature thermocouples and the like, have been developed. The low temperature thermometer requires the temperature sensing element to be small in size, high in accuracy, good in reproducibility and stability. A carburized glass thermal resistor formed by carburizing and sintering porous high silica glass is a temperature sensing element of a low-temperature thermometer and can be used for measuring the temperature within the range of 1.6-300K.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (7)
1. A device self-inspection system based on display feature search, comprising:
the field storage equipment is arranged in the portable device and is used for pre-storing the fault type with the maximum probability corresponding to each display characteristic and the maintenance price corresponding to the fault type;
the signal extraction equipment is arranged near the display cache equipment in the portable device and is used for collecting the current display content of the portable device so as to obtain a current content image;
the enhancement processing equipment is connected with the signal extraction equipment and is used for carrying out image data enhancement processing on the received current content image so as to obtain a data enhanced image;
the sharpening processing device is connected with the enhancement processing device and is used for carrying out image data sharpening processing on the received data enhanced image so as to obtain a corresponding data sharpened image;
the interpolation processing device is connected with the sharpening processing device and used for executing cubic polynomial interpolation processing on the received data sharpened image to obtain a polynomial interpolation image;
the characteristic identification equipment is arranged in the portable device, is connected with the interpolation processing equipment, and is used for receiving the polynomial interpolation image, searching the display characteristics of the polynomial interpolation image based on various display characteristics, and outputting an image area where the searched display characteristics with the largest occupied area are located as a reference image area;
the fault extraction device is respectively connected with the feature identification device and the field storage device and is used for inquiring a corresponding fault type with the maximum probability and a maintenance price corresponding to the fault type from the field storage device based on the display feature corresponding to the received reference image area so as to respectively serve as a target fault type and a target maintenance price;
wherein the various display features include different numbers of twills, different numbers of stripes, and different numbers of wales, and also include twills of different densities, stripes of different densities, and wales of different densities;
the field storage device is also connected with the feature identification device and is used for temporarily storing the received reference image area;
and the hard disk equipment is used for storing various configuration parameters of the feature identification equipment.
2. The display feature search based device self-inspection system of claim 1, wherein:
the hard disk equipment adopts rubber shock absorption.
3. The display feature search based device self-inspection system of claim 1, wherein:
the hard disk equipment adopts steel wires to avoid vibration.
4. The display feature search based device self-inspection system of claim 1, wherein:
the hard disk equipment adopts electronic shock absorption.
5. The display feature search based device self-inspection system of any one of claims 2-4, wherein the system further comprises:
and the pickup equipment is positioned near the characteristic identification equipment and is used for acquiring real-time audio data of the environment where the characteristic identification equipment is positioned in real time.
6. The display feature search based device self-inspection system of claim 5, wherein:
the feature identification equipment and the fault extraction equipment are respectively realized by SOC chips with different models;
wherein the feature recognition device and the fault extraction device are integrated on the same printed circuit board.
7. The display feature search based device self-inspection system of claim 6, wherein the system further comprises:
and the temperature sensing equipment is respectively connected with the feature identification equipment and the fault extraction equipment and is used for respectively detecting the shell temperature of the feature identification equipment and the shell temperature of the fault extraction equipment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911254280.8A CN112116106B (en) | 2019-12-07 | 2019-12-07 | Device self-checking system based on display characteristic search |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911254280.8A CN112116106B (en) | 2019-12-07 | 2019-12-07 | Device self-checking system based on display characteristic search |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112116106A CN112116106A (en) | 2020-12-22 |
| CN112116106B true CN112116106B (en) | 2021-09-10 |
Family
ID=73796602
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911254280.8A Active CN112116106B (en) | 2019-12-07 | 2019-12-07 | Device self-checking system based on display characteristic search |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112116106B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202110228U (en) * | 2011-06-07 | 2012-01-11 | 航天科工深圳（集团）有限公司 | Insulator fault detection instrument |
| US20130170711A1 (en) * | 2012-01-04 | 2013-07-04 | Cyclops Technologies, Inc. | Edge detection image capture and recognition system |
| CN104318879A (en) * | 2014-10-20 | 2015-01-28 | 京东方科技集团股份有限公司 | Display device and display device failure analysis system and method |
| CN104506847A (en) * | 2014-11-24 | 2015-04-08 | 小米科技有限责任公司 | Method and device for detecting display fault |
| CN106023185A (en) * | 2016-05-16 | 2016-10-12 | 国网河南省电力公司电力科学研究院 | Power transmission equipment fault diagnosis method |
| CN109165307A (en) * | 2018-09-19 | 2019-01-08 | 腾讯科技（深圳）有限公司 | A kind of characteristic key method, apparatus and storage medium |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130325728A1 (en) * | 2012-04-06 | 2013-12-05 | All IP Holdings LLC | Systems and methods for electronically journaling notarial acts |
-
2019
- 2019-12-07 CN CN201911254280.8A patent/CN112116106B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202110228U (en) * | 2011-06-07 | 2012-01-11 | 航天科工深圳（集团）有限公司 | Insulator fault detection instrument |
| US20130170711A1 (en) * | 2012-01-04 | 2013-07-04 | Cyclops Technologies, Inc. | Edge detection image capture and recognition system |
| CN104318879A (en) * | 2014-10-20 | 2015-01-28 | 京东方科技集团股份有限公司 | Display device and display device failure analysis system and method |
| CN104506847A (en) * | 2014-11-24 | 2015-04-08 | 小米科技有限责任公司 | Method and device for detecting display fault |
| CN106023185A (en) * | 2016-05-16 | 2016-10-12 | 国网河南省电力公司电力科学研究院 | Power transmission equipment fault diagnosis method |
| CN109165307A (en) * | 2018-09-19 | 2019-01-08 | 腾讯科技（深圳）有限公司 | A kind of characteristic key method, apparatus and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112116106A (en) | 2020-12-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107449521B (en) | Temperature compensation method, terminal device and computer readable storage medium | |
| KR100993248B1 (en) | Measuring system for water quality using smart phone | |
| US20140238100A1 (en) | Method for calibration of sensors embedded or wirelessly connected to a mobile device | |
| CN105444678A (en) | Handset size measurement method and system | |
| CN106257233A (en) | Calibrated volumes size device | |
| CN109798981A (en) | Temperature determining method, temperature measuring equipment, storage medium | |
| CN110992135B (en) | Risk identification method and device, electronic equipment and storage medium | |
| CN111780892B (en) | Calibration method of temperature detection equipment | |
| CN112116106B (en) | Device self-checking system based on display characteristic search | |
| JP2017224252A (en) | Measured value reading device, measured value reading method and program | |
| CN117574306B (en) | Abnormal value detection method and device of sensor data and electronic equipment | |
| CN111256864A (en) | Multipoint temperature measuring method and system based on serial connection of multiple thermistors | |
| CN110865785A (en) | Method and device for acquiring pixel size and electronic equipment | |
| CN117274255B (en) | Data detection method, device, electronic equipment and storage medium | |
| CN112232630A (en) | Production control method and apparatus, electronic device, and computer-readable storage medium | |
| CN113822098A (en) | Area inspection method and device and electronic equipment | |
| CN110490272A (en) | Image content similarity analysis method, apparatus and storage medium | |
| CN115641191A (en) | Data pushing method based on data analysis and AI system | |
| Hong et al. | Wireless Passive High‐Temperature Sensor Readout System for Rotational‐Speed Measurement | |
| US11151401B2 (en) | Consistent portable sensor placement | |
| CN113160423A (en) | Detection guiding method, system, device and storage medium based on augmented reality | |
| CN112417975A (en) | Method and device for obtaining reading of pointer instrument | |
| CN112906681A (en) | Meter reading method and device, electronic equipment and storage medium | |
| CN118067933B (en) | Carbon emission detection method, system, mobile terminal and storage medium | |
| Chao et al. | Reading pointer meter through one stage end-to-end deep regression |
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 | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20210825 Address after: Room 903, 9th floor, building 1, Aosheng building, high tech Zone, Jinan City, Shandong Province Applicant after: SHANDONG JIUZHOU XINTAI INFORMATION TECHNOLOGY Co.,Ltd. Address before: No.77, Songlinshan Road, chemical industry park, Zhenjiang New Area, Jiangsu Province, 212000 Applicant before: Deng Guangbo |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |