CN111246010B - Environment monitoring method based on signal analysis - Google Patents
Environment monitoring method based on signal analysis Download PDFInfo
- Publication number
- CN111246010B CN111246010B CN201910333328.8A CN201910333328A CN111246010B CN 111246010 B CN111246010 B CN 111246010B CN 201910333328 A CN201910333328 A CN 201910333328A CN 111246010 B CN111246010 B CN 111246010B
- Authority
- CN
- China
- Prior art keywords
- equipment
- image
- filtering
- mobile phone
- environment
- 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
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/02—Constructional features of telephone sets
- H04M1/0202—Portable telephone sets, e.g. cordless phones, mobile phones or bar type handsets
- H04M1/026—Details of the structure or mounting of specific components
- H04M1/0264—Details of the structure or mounting of specific components for a camera module assembly
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M2250/00—Details of telephonic subscriber devices
- H04M2250/12—Details of telephonic subscriber devices including a sensor for measuring a physical value, e.g. temperature or motion
Landscapes
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Computer Networks & Wireless Communication (AREA)
- Environmental & Geological Engineering (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention relates to an environment monitoring method based on signal analysis, which comprises the steps of using an environment monitoring platform based on signal analysis to carry out environment analysis on a mobile phone monitoring image so as to judge whether the current environment of a mobile phone belongs to an office environment or not, and automatically controlling the mobile phone to enter a mute mode when the environment of the mobile phone is judged to belong to the office environment.
Description
Technical Field
The invention relates to the field of portable equipment, in particular to an environment monitoring method based on signal analysis.
Background
A portable device refers to a device that is easily carried between usage sites. Not more than 5kg of devices which are easy to hold without a handle and not more than 23kg of devices which are easy to hold with a handle are portable devices such as communication terminal devices of digital mobile phones, mobile phones and the like.
Portable device communication technologies include SIM cards and GSM, CDMA handsets. 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 equipment. 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), and at present, the GSM handset is most widely used.
Disclosure of Invention
The invention has at least the following three important points:
(1) performing environment analysis on the mobile phone monitoring image to judge whether the current environment of the mobile phone belongs to an office environment, and automatically controlling the mobile phone to enter a mute mode when the current environment of the mobile phone belongs to the office environment, so that the automation level of the mobile phone is improved;
(2) determining the corresponding redundancy of the image based on the maximum sequence number of a sequencing queue obtained by sequencing the gray values of all pixel points in the image on the basis of the color level adjustment processing;
(3) and the user-defined sharpening device is introduced and used for selecting different sharpening mechanisms to perform self-adaptive sharpening processing on the image based on the redundancy of the image, so that the image sharpening effect is ensured and the image operation resource is saved.
According to an aspect of the present invention, there is provided a signal analysis-based environment monitoring method, the method including performing environment analysis on a monitored image of a mobile phone using a signal analysis-based environment monitoring platform to determine whether the environment in which the mobile phone is currently located belongs to an office environment, and automatically controlling the mobile phone to enter a mute mode when it is determined that the environment belongs to the office environment, the signal analysis-based environment monitoring platform including:
the environment monitoring equipment is arranged in the mobile phone, is connected with the histogram equalization equipment and is used for carrying out environment analysis on the equalized image based on the office environment imaging characteristics so as to send a mute driving command when the equalized image is determined to belong to the office environment, or else, send a normal driving command;
the audio control equipment is arranged in the mobile phone, is connected with the environment monitoring equipment and is used for controlling the mobile phone to enter a mute mode when receiving the mute driving command;
the field adjusting equipment is arranged in the mobile phone and used for receiving an instant combined image obtained by combining a first image and a second image which are respectively captured by a front camera and a rear camera of the mobile phone and executing color level adjustment on the instant combined image so as to obtain and output a field adjusting image;
the channel value sequencing equipment is connected with the field adjusting equipment and used for receiving the field adjusting image and sequencing the gray values of all pixel points in the field adjusting image to obtain the maximum sequence number of the sequencing queue;
the redundancy identification device is connected with the channel value sequencing device and used for receiving the maximum sequence number and determining the redundancy of the field adjustment image which is inversely proportional to the maximum sequence number;
in the channel value sorting device, sorting the gray values of the pixels in the field adjustment image includes: pixel points with the same gray value occupy the serial number of the same queuing sequence;
the custom sharpening device is respectively connected with the field adjustment device and the redundancy identification device and is used for starting image sharpening processing based on Prewitt operator on the received field adjustment image when the redundancy of the received field adjustment image exceeds the limit so as to obtain a corresponding custom sharpened image;
the user-defined sharpening device is further used for starting sharpening processing on the received on-site adjustment image in the horizontal direction and then sharpening in the vertical direction when the redundancy of the received on-site adjustment image is not over the limit, so that a corresponding user-defined sharpened image is obtained;
and the histogram equalization equipment is connected with the custom sharpening equipment and is used for executing histogram equalization processing on the received custom sharpened image so as to obtain and output a corresponding equalized image.
The environment monitoring method based on signal analysis is reasonable in design and high in integration level. Because the environment analysis is carried out on the mobile phone monitoring image to judge whether the current environment of the mobile phone belongs to the office environment or not, and when the environment of the mobile phone belongs to the office environment, the mobile phone is automatically controlled to enter the mute mode, thereby improving the automation level of the mobile phone.
Detailed Description
Embodiments of the signal analysis-based environmental monitoring method of the present invention will be described in detail below.
Push-button cell phones have been the mainstream of the cell phone market. Since the birth of the mobile phone, the mobile phone has various types of keys. The only medium for interaction between the mobile phone and the user at the earliest time and the importance of the keyboard are self-evident, and no operations such as making a call, sending a short message and the like can be finished by the keyboard.
The touch screen mobile phone is a trend in the modern mobile phone market, is divided into a resistance screen mobile phone and a capacitance screen mobile phone, and is a mobile phone type applying the technology to a mobile phone screen by utilizing the technology of a touch screen. The classification of the touch screen mobile phone and other mobile phones has no obvious limit, and the most important characteristic is that the large screen brings visual enjoyment to users, and the characteristics of the large screen are embodied in both characters and images. However, the screen is large, the size is larger, and the occupied space for carrying the touch screen mobile phone is also large. Meanwhile, the touch screen mobile phone can be operated by fingers to perfectly replace a keyboard.
At present, along with the popularization and the application of cell-phone, people are used to hand-carry cell-phone and omit telephone and information with worry, however, to the place that needs quiet environment such as office space, need set up the cell-phone into silent mode to prevent to cause noise impact to the environment, current cell-phone silent mode adopts manual mode setting or based on the time quantum automatic setting mostly, lacks the automatic setting mode based on environmental recognition.
In order to overcome the defects, the invention builds an environment monitoring method based on signal analysis, and the method comprises the steps of using an environment monitoring platform based on signal analysis to perform environment analysis on a mobile phone monitoring image so as to judge whether the current environment of the mobile phone belongs to the office environment or not, and automatically controlling the mobile phone to enter the mute mode when the environment of the mobile phone is judged to belong to the office environment. The environment monitoring platform based on signal analysis can effectively solve corresponding technical problems.
An environment monitoring platform based on signal analysis according to an embodiment of the present invention includes:
the environment monitoring equipment is arranged in the mobile phone, is connected with the histogram equalization equipment and is used for carrying out environment analysis on the equalized image based on the office environment imaging characteristics so as to send a mute driving command when the equalized image is determined to belong to the office environment, or else, send a normal driving command;
the audio control equipment is arranged in the mobile phone, is connected with the environment monitoring equipment and is used for controlling the mobile phone to enter a mute mode when receiving the mute driving command;
the field adjusting equipment is arranged in the mobile phone and used for receiving an instant combined image obtained by combining a first image and a second image which are respectively captured by a front camera and a rear camera of the mobile phone and executing color level adjustment on the instant combined image so as to obtain and output a field adjusting image;
the channel value sequencing equipment is connected with the field adjusting equipment and used for receiving the field adjusting image and sequencing the gray values of all pixel points in the field adjusting image to obtain the maximum sequence number of the sequencing queue;
the redundancy identification device is connected with the channel value sequencing device and used for receiving the maximum sequence number and determining the redundancy of the field adjustment image which is inversely proportional to the maximum sequence number;
in the channel value sorting device, sorting the gray values of the pixels in the field adjustment image includes: pixel points with the same gray value occupy the serial number of the same queuing sequence;
the custom sharpening device is respectively connected with the field adjustment device and the redundancy identification device and is used for starting image sharpening processing based on Prewitt operator on the received field adjustment image when the redundancy of the received field adjustment image exceeds the limit so as to obtain a corresponding custom sharpened image;
the user-defined sharpening device is further used for starting sharpening processing on the received on-site adjustment image in the horizontal direction and then sharpening in the vertical direction when the redundancy of the received on-site adjustment image is not over the limit, so that a corresponding user-defined sharpened image is obtained;
the histogram equalization equipment is connected with the custom sharpening equipment and is used for executing histogram equalization processing on the received custom sharpened image so as to obtain and output a corresponding equalized image;
the audio control device is further used for controlling the mobile phone to enter a non-silent mode when the normal driving command is received;
the channel value sequencing equipment is connected with the redundancy rate identification equipment through a serial communication interface;
wherein the custom sharpening device is one of a programmable logic device or a field programmable gate array device;
the user-defined sharpening device is used for interrupting the image sharpening processing of the received on-site adjustment image based on the Prewitt operator when the redundancy of the received on-site adjustment image is not over the limit;
the user-defined sharpening device is used for interrupting the sharpening processing of the received on-site adjustment image in the horizontal direction and then in the vertical direction when the redundancy of the received on-site adjustment image exceeds the limit.
Next, the detailed structure of the environment monitoring platform based on signal analysis according to the present invention will be further described.
The environment monitoring platform based on signal analysis can further comprise:
and the WIFI communication equipment is connected with the histogram equalization and used for receiving and sending the equalization processing image.
The environment monitoring platform based on signal analysis can further comprise:
and the line acquisition equipment is connected with the histogram equalization equipment and is used for receiving the equalization processing image and extracting bright lines in the equalization processing image one by one to obtain the number of the bright lines in the equalization processing image.
The environment monitoring platform based on signal analysis can further comprise:
and the filtering preprocessing equipment is connected with the line acquisition equipment and used for receiving the bright line number and determining the superposition number of the filtering windows for executing filtering based on the bright line number, wherein the more the bright line number is, the more the superposition number of the filtering windows for executing filtering is determined, the shape of each superposed filtering window is a rectangle, and the width of the rectangle is 1 pixel point.
The environment monitoring platform based on signal analysis can further comprise:
and the numerical analysis equipment is respectively connected with the line acquisition equipment and the filtering preprocessing equipment and is used for acquiring each pixel value of each nearby pixel point of each pixel point of the equalized image based on the shape of the overlapped filtering window, determining whether each nearby pixel point is positioned on the bright line extracted by the line acquisition equipment, and removing one or more nearby pixel points positioned on the bright line from each nearby pixel point of each pixel point of the equalized image to obtain each residual pixel point.
The environment monitoring platform based on signal analysis can further comprise:
the dynamic weighted filtering device is connected with the numerical analysis device and is used for taking each pixel point of the equalized image as a filtering pixel point and carrying out weighted average calculation on each pixel value of each residual pixel point corresponding to the filtering pixel point so as to obtain a replacement pixel value of the filtering pixel point, wherein the step of carrying out weighted average calculation on each pixel value of each residual pixel point corresponding to the filtering pixel point comprises the following steps: the longer the distance from the residual pixel points to the filtering pixel points is, the smaller the weighted value used by the residual pixel points is; the dynamic weighting filter equipment is also used for integrating corresponding integrated images based on the replacement pixel values of all filter pixel points of the equalized images;
the power supply equipment is respectively connected with the line acquisition equipment, the filtering preprocessing equipment, the numerical analysis equipment and the dynamic weighting filter equipment, and is used for interrupting power supply to the filtering preprocessing equipment, the numerical analysis equipment and the dynamic weighting filter equipment when the number of bright lines output by the line acquisition equipment is zero, and directly outputting an equalized image in the line acquisition equipment to the dynamic weighting filter equipment to serve as an integrated image;
the dynamic weighting filtering device is further connected with the environment monitoring device and used for replacing the equalized image with the integrated image and sending the equalized image to the environment monitoring device.
In the environment monitoring platform based on signal analysis:
the power supply equipment is also used for restoring the power supply to the filtering preprocessing equipment, the numerical analysis equipment and the dynamic weighting filtering equipment when the quantity of bright lines output by the line acquisition equipment is non-zero.
In the environment monitoring platform based on signal analysis:
the line acquisition equipment, the filtering preprocessing equipment, the numerical analysis equipment and the dynamic weighting filtering equipment are integrated in the same CPLD chip;
the dynamic weighted filtering equipment comprises a pixel value receiving sub-equipment, a pixel value replacing sub-equipment and a pixel value integrating sub-equipment;
wherein, in the dynamic weighted filtering device, the pixel value replacing sub-device is respectively connected with the pixel value receiving sub-device and the pixel value integrating sub-device.
Additionally, WIFI is a technology that allows an electronic device to connect to a Wireless Local Area Network (WLAN), typically using the 2.4G UHF or 5G SHF ISM radio frequency bands. Connecting to a wireless local area network is typically password protected; but may be open, allowing any device within range of the WLAN to connect. WIFI is a brand of wireless network communication technology, held by the WIFI alliance. The object is to improve the interoperability between wireless network products based on the IEEE 802.11 standard. Local area networks using the IEEE 802.11 family of protocols are known as wireless fidelity. Even WIFI is equated to the wireless internet (WIFI is an important component of WLAN).
The wireless network internet access can be simply understood as wireless internet access, almost all smart phones, tablet computers and notebook computers support WIFI internet access, and the wireless network transmission technology is the most widely used wireless network transmission technology at present. In effect, the wired network signal is converted to a wireless signal, as described at the outset, using a wireless router for reception by the relevant computer, cell phone, tablet, etc. supporting its technology. If the mobile phone has the WIFI function, the mobile phone can surf the internet without a mobile communication network when a WIFI wireless signal exists, and traffic cost is saved.
Wireless networking of wireless networks is commonly used in large cities, and although the wireless communication quality transmitted by the WIFI technology is not good, the data security performance is poorer than that of Bluetooth, the transmission quality needs to be improved, the transmission speed is very high, 54Mbps can be achieved, and the requirements of personal and social informatization are met. The main advantage of WIFI is that it does not need wiring, and it can not be limited by wiring conditions, so it is very suitable for the needs of mobile office users, and because the transmission signal power is lower than 100mw, and lower than the transmission power of mobile phone, it is relatively the safest and healthier to access the internet via WIFI.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (3)
1. An environment monitoring method based on signal analysis, the method comprises using an environment monitoring platform based on signal analysis to perform environment analysis on a mobile phone monitoring image to judge whether the environment where the mobile phone is currently located belongs to an office environment, and automatically controlling the mobile phone to enter a mute mode when the environment is judged to belong to the office environment, the environment monitoring platform based on signal analysis comprises:
the environment monitoring equipment is arranged in the mobile phone, is connected with the histogram equalization equipment and is used for carrying out environment analysis on the equalized image based on the office environment imaging characteristics so as to send a mute driving command when the equalized image is determined to belong to the office environment, or else, send a normal driving command;
the audio control equipment is arranged in the mobile phone, is connected with the environment monitoring equipment and is used for controlling the mobile phone to enter a mute mode when receiving the mute driving command;
the field adjusting equipment is arranged in the mobile phone and used for receiving an instant combined image obtained by combining a first image and a second image which are respectively captured by a front camera and a rear camera of the mobile phone and executing color level adjustment on the instant combined image so as to obtain and output a field adjusting image;
the channel value sequencing equipment is connected with the field adjusting equipment and used for receiving the field adjusting image and sequencing the gray values of all pixel points in the field adjusting image to obtain the maximum sequence number of the sequencing queue;
the redundancy identification device is connected with the channel value sequencing device and used for receiving the maximum sequence number and determining the redundancy of the field adjustment image which is inversely proportional to the maximum sequence number;
in the channel value sorting device, sorting the gray values of the pixels in the field adjustment image includes: pixel points with the same gray value occupy the serial number of the same queuing sequence;
the custom sharpening device is respectively connected with the field adjustment device and the redundancy identification device and is used for starting image sharpening processing based on Prewitt operator on the received field adjustment image when the redundancy of the received field adjustment image exceeds the limit so as to obtain a corresponding custom sharpened image;
the user-defined sharpening device is further used for starting sharpening processing on the received on-site adjustment image in the horizontal direction and then sharpening in the vertical direction when the redundancy of the received on-site adjustment image is not over the limit, so that a corresponding user-defined sharpened image is obtained;
the histogram equalization equipment is connected with the custom sharpening equipment and is used for executing histogram equalization processing on the received custom sharpened image so as to obtain and output a corresponding equalized image;
the audio control device is further used for controlling the mobile phone to enter a non-silent mode when the normal driving command is received;
the channel value sequencing equipment is connected with the redundancy rate identification equipment through a serial communication interface;
wherein the custom sharpening device is one of a programmable logic device or a field programmable gate array device;
the user-defined sharpening device is used for interrupting the image sharpening processing of the received on-site adjustment image based on the Prewitt operator when the redundancy of the received on-site adjustment image is not over the limit;
the user-defined sharpening device is used for interrupting the sharpening processing of the received on-site adjustment image in the horizontal direction and then in the vertical direction when the redundancy of the received on-site adjustment image exceeds the limit;
the WIFI communication equipment is in equalization connection with the histogram and used for receiving and sending the equalization processing image;
the line acquisition equipment is connected with the histogram equalization equipment and used for receiving the equalization processing image and extracting bright lines in the equalization processing image one by one to obtain the number of the bright lines in the equalization processing image;
the filtering preprocessing equipment is connected with the line acquisition equipment and used for receiving the bright line number and determining the superposition number of filtering windows for executing filtering based on the bright line number, wherein the more the bright line number is, the more the superposition number of the filtering windows for executing filtering is determined to be, each superposed filtering window is rectangular in shape, and the width of the rectangle is 1 pixel point;
the numerical analysis equipment is respectively connected with the line acquisition equipment and the filtering preprocessing equipment and is used for acquiring each pixel value of each nearby pixel point of each pixel point of the equalized image based on the shape of the overlapped filtering window and determining whether each nearby pixel point is positioned on the bright line extracted by the line acquisition equipment so as to remove one or more nearby pixel points positioned on the bright line from each nearby pixel point of each pixel point of the equalized image to obtain each residual pixel point;
the dynamic weighted filtering device is connected with the numerical analysis device and is used for taking each pixel point of the equalized image as a filtering pixel point and carrying out weighted average calculation on each pixel value of each residual pixel point corresponding to the filtering pixel point so as to obtain a replacement pixel value of the filtering pixel point, wherein the step of carrying out weighted average calculation on each pixel value of each residual pixel point corresponding to the filtering pixel point comprises the following steps: the longer the distance from the residual pixel points to the filtering pixel points is, the smaller the weighted value used by the residual pixel points is; the dynamic weighting filter equipment is also used for integrating corresponding integrated images based on the replacement pixel values of all filter pixel points of the equalized images;
the power supply equipment is respectively connected with the line acquisition equipment, the filtering preprocessing equipment, the numerical analysis equipment and the dynamic weighting filter equipment, and is used for interrupting power supply to the filtering preprocessing equipment, the numerical analysis equipment and the dynamic weighting filter equipment when the number of bright lines output by the line acquisition equipment is zero, and directly outputting an equalized image in the line acquisition equipment to the dynamic weighting filter equipment to serve as an integrated image;
the dynamic weighting filtering device is further connected with the environment monitoring device and used for replacing the equalized image with the integrated image and sending the equalized image to the environment monitoring device.
2. The method of claim 1, wherein:
the power supply equipment is also used for restoring the power supply to the filtering preprocessing equipment, the numerical analysis equipment and the dynamic weighting filtering equipment when the quantity of bright lines output by the line acquisition equipment is non-zero.
3. The method of claim 2, wherein:
the line acquisition equipment, the filtering preprocessing equipment, the numerical analysis equipment and the dynamic weighting filtering equipment are integrated in the same CPLD chip;
the dynamic weighted filtering equipment comprises a pixel value receiving sub-equipment, a pixel value replacing sub-equipment and a pixel value integrating sub-equipment;
wherein, in the dynamic weighted filtering device, the pixel value replacing sub-device is respectively connected with the pixel value receiving sub-device and the pixel value integrating sub-device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910333328.8A CN111246010B (en) | 2019-04-24 | 2019-04-24 | Environment monitoring method based on signal analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910333328.8A CN111246010B (en) | 2019-04-24 | 2019-04-24 | Environment monitoring method based on signal analysis |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111246010A CN111246010A (en) | 2020-06-05 |
| CN111246010B true CN111246010B (en) | 2020-11-10 |
Family
ID=70863919
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910333328.8A Active CN111246010B (en) | 2019-04-24 | 2019-04-24 | Environment monitoring method based on signal analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111246010B (en) |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7221928B2 (en) * | 2003-10-01 | 2007-05-22 | Laird Mark D | Mobile emergency notification system |
| CN102314673B (en) * | 2011-08-02 | 2013-06-05 | 中国科学院长春光学精密机械与物理研究所 | Self-adapting image enhancement method |
| CN103024272A (en) * | 2012-12-14 | 2013-04-03 | 广东欧珀移动通信有限公司 | Double camera control device, method and system of mobile terminal and mobile terminal |
| CN103714520B (en) * | 2013-12-26 | 2017-03-29 | 深圳英飞拓科技股份有限公司 | Digital video image strengthening system and its method are realized based on FPGA |
| CN104992416B (en) * | 2015-06-30 | 2018-04-27 | 小米科技有限责任公司 | Image enchancing method and device, smart machine |
| CN105049569A (en) * | 2015-08-20 | 2015-11-11 | 擎亚国际贸易（上海）有限公司 | Panoramic photo composition method based on front and back cameras of cellphone |
| CN106126995A (en) * | 2016-06-30 | 2016-11-16 | 宇龙计算机通信科技(深圳)有限公司 | Unlocking method, tripper and terminal |
| CN106850940A (en) * | 2016-11-29 | 2017-06-13 | 维沃移动通信有限公司 | The changing method and mobile terminal of a kind of state |
| CN106899781B (en) * | 2017-03-06 | 2020-11-10 | 宇龙计算机通信科技(深圳)有限公司 | Image processing method and electronic equipment |
| CN107945163B (en) * | 2017-11-23 | 2020-04-28 | 广州酷狗计算机科技有限公司 | Image enhancement method and device |
| CN108846319A (en) * | 2018-05-25 | 2018-11-20 | 平安科技（深圳）有限公司 | Iris image Enhancement Method, device, equipment and storage medium based on histogram |
-
2019
- 2019-04-24 CN CN201910333328.8A patent/CN111246010B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN111246010A (en) | 2020-06-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110392162B (en) | Environment monitoring platform based on signal analysis | |
| WO2018205829A1 (en) | Radio frequency interference processing method and apparatus, storage medium, and electronic device | |
| CN107147419A (en) | Reduce method, storage medium and the terminal of signal interference | |
| CN107979699A (en) | Extended pattern multifunctional hand machine platform | |
| CN104992096A (en) | Data protection method and mobile terminal | |
| CN106888495B (en) | Network access method and terminal | |
| CN109062715B (en) | Method and device for determining memory clock frequency and terminal | |
| CN106455027A (en) | Network standard adjustment method and mobile terminal | |
| CN107371221A (en) | Select method, apparatus, mobile terminal and the readable storage medium storing program for executing of network | |
| CN107466033A (en) | IMS register method, device, mobile terminal and storage medium | |
| CN109542232A (en) | Switching method, terminal and the computer readable storage medium of terminal horizontal/vertical screen mode | |
| CN108124056A (en) | The anti-interference method and Related product of electronic equipment | |
| CN104182419A (en) | Method and device for processing character information in picture | |
| CN109768811A (en) | The control method of radiation dispersion, communication terminal and computer readable storage medium between double antenna | |
| CN109195197A (en) | Dual-card dual-standby terminal network selecting method, device, terminal device and storage medium | |
| CN104348655A (en) | Method and device for determining degree of safety and health of system | |
| CN108093407A (en) | Pseudo-base station cell recognition method, mobile terminal and computer readable storage medium | |
| CN103413091B (en) | The method for supervising of malicious act and device | |
| CN104010060A (en) | Method and electronic device for recognizing identity of incoming caller | |
| CN111246010B (en) | Environment monitoring method based on signal analysis | |
| CN106211162A (en) | A kind of information processing method and device, terminal | |
| CN105549836A (en) | Method for processing messages on screen-lock interface of mobile electronic terminal and mobile electronic terminal | |
| CN108495302A (en) | SIM card initializes accelerated method, mobile terminal and readable storage medium storing program for executing | |
| CN107357412A (en) | Solve lock control method and Related product | |
| CN108449806A (en) | A kind of information processing method, terminal and readable storage medium storing program for executing |
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 | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20201020 Address after: No.100 Huangshan Road, Baishuiyang Town, Linhai City, Taizhou City, Zhejiang Province Applicant after: Lv Yanrong Address before: 1, 101A, room 98, 225300 East Spring Road, hailing Industrial Park, Jiangsu, Taizhou Applicant before: SUNNY ENVIRONMENTAL PROTECTION (JIANGSU) Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20220901 Address after: Room 802, 8th Floor, Building 1, Palm Garden, Yangliu County, No. 16, Baisha Road, Liubei District, Liuzhou City, Guangxi Zhuang Autonomous Region 545000 Patentee after: Liuzhou Huantou Environmental Protection Technology Co.,Ltd. Address before: 317000 No. 100 Huangshan Road, Baishuiyang Town, Linhai City, Taizhou City, Zhejiang Province Patentee before: Lv Yanrong |