CN114785933A - Camera with vibration detection function and analysis method thereof - Google Patents
Camera with vibration detection function and analysis method thereof Download PDFInfo
- Publication number
- CN114785933A CN114785933A CN202210514384.3A CN202210514384A CN114785933A CN 114785933 A CN114785933 A CN 114785933A CN 202210514384 A CN202210514384 A CN 202210514384A CN 114785933 A CN114785933 A CN 114785933A
- Authority
- CN
- China
- Prior art keywords
- digital signal
- vibration
- module
- audio
- camera
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 46
- 238000004458 analytical method Methods 0.000 title claims abstract description 29
- 238000012423 maintenance Methods 0.000 claims abstract description 45
- 238000012544 monitoring process Methods 0.000 claims abstract description 30
- 238000012545 processing Methods 0.000 claims abstract description 30
- 238000000034 method Methods 0.000 claims abstract description 26
- 230000002093 peripheral effect Effects 0.000 claims abstract description 17
- 238000004891 communication Methods 0.000 claims description 3
- 238000001556 precipitation Methods 0.000 claims description 3
- 238000011160 research Methods 0.000 abstract description 9
- 238000012216 screening Methods 0.000 abstract description 8
- 238000011161 development Methods 0.000 abstract description 6
- 238000013473 artificial intelligence Methods 0.000 abstract description 3
- 230000002349 favourable effect Effects 0.000 abstract description 3
- 230000006870 function Effects 0.000 description 14
- 238000010276 construction Methods 0.000 description 5
- 230000002035 prolonged effect Effects 0.000 description 4
- 238000001914 filtration Methods 0.000 description 3
- 230000007774 longterm Effects 0.000 description 3
- 230000002411 adverse Effects 0.000 description 2
- 230000003321 amplification Effects 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 238000003199 nucleic acid amplification method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000000873 masking effect Effects 0.000 description 1
- 238000012634 optical imaging Methods 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
- 230000000192 social effect Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention provides a camera with a vibration detection function and an analysis method thereof, comprising a lens, a CCD/CMOS sensor, a DSP video processing chip, a main control module, a power supply module, an audio acquisition and coding module, a vibration detection module, a power supply module, a peripheral interface and an output module, wherein the accurate acquisition of images, audios and vibration conditions is carried out through each module, a two-layer screening scheme is set, the accurate data of full load of a large vehicle is effectively obtained by initially judging the images and monitoring the vibration and the audios, the statistics is carried out on the heavy vehicle to be used as key parameters for road damage and whether maintenance is needed or not, the monitoring is carried out for a long time, and the reliable suggestions can be provided for the maintenance and the maintenance process of the road under the auxiliary decision of big data and a related artificial intelligence analysis system by combining with other factors in the research of the full life cycle of the road, thereby prolonging the service life of the road and providing more favorable conditions for the development of economic society.
Description
Technical Field
The invention relates to the field of traffic infrastructure, in particular to a camera with a vibration detection function and an analysis method thereof.
Background
In the development of economy and welfare of nationalities, the development of road construction cannot be avoided, under the eyes, the high-speed development of Chinese economy cannot ensure the construction work of roads, but the research on the management of the roads, the management and the maintenance of the roads and the life cycle of the roads is relatively lagged behind compared with the research on the construction of the roads, thereby causing the adverse consequences of serious damage, incomplete maintenance, short service cycle and the like in the daily operation of the roads to a certain extent and causing the adverse social effect.
In road traffic operation, factors influencing the road service cycle generally include geological conditions, climatic conditions, materials used in road construction, construction processes and later maintenance levels of areas where roads are located, and a very critical factor is loads of passing vehicles. If the road is in a long-term passing state of high-load vehicles, the damage to the road is large, and if the road is further combined with the comprehensive influence of conditions such as maintenance period, maintenance level and the like, the service life of the road is greatly reduced. In order to monitor the traffic state of various vehicles in a road for a long time, the invention provides the camera with the vibration detection function and the analysis method thereof, which can provide traffic data of various vehicles, particularly the traffic state of high-load vehicles, for the analysis of the full life cycle of the road.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a camera with a vibration detection function and an analysis method thereof.
In order to achieve the purpose, the invention adopts the following technical scheme:
a camera with a vibration detection function comprises a camera body with a support rod piece, and comprises a lens, a CCD/CMOS sensor, a DSP video processing chip, a main control module, a power supply module, an audio acquisition and coding module, a vibration detection module, a power supply module and an external interface and output module;
the camera lens is arranged at the front end of the camera body, and the audio acquisition and coding module and the vibration detection module are integrated in the camera body;
the lens is arranged on the outer side of the CCD/CMOS sensor, and the CCD/CMOS sensor is electrically connected with the DSP video processing chip;
the DSP video processing chip, the audio acquisition and coding module, the vibration detection module, the peripheral interface and the output module are electrically connected with the main control module;
the power supply module supplies power to all parts of the camera.
Whether heavy-duty vehicles exist on the current road is obtained through image acquisition and analysis, vibration detection and analysis and audio acquisition and analysis, the heavy-duty vehicles are counted and taken as key parameters for damage of the road and maintenance, the key parameters are monitored for a long time, and by combining with other factors in the research of the full life cycle of the road, reliable suggestions can be provided for maintenance and maintenance processes of the road under the assistance of big data and relevant artificial intelligence analysis systems, so that the service life of the road is prolonged, and more favorable conditions are provided for the development of the economic society.
Further, the CCD/CMOS sensor collects image information after the lens is imaged and converts the image information into image digital signals, the CCD/CMOS sensor sends the digital signals to the DSP video processing chip, the DSP video processing chip processes the received image digital signals, the digital signals are amplified, corrected and functionally processed to obtain second image digital signals, the DSP video processing chip sends the second image digital signals to the main control module, and the image information is collected and analyzed through the CCD/CMOS sensor and the DSP video processing chip.
Furthermore, the audio acquisition and coding module acquires all-around audio of the camera body and performs audio coding to obtain audio digital signals, the audio acquisition and coding module sends the audio digital signals to the main control module, and the audio acquisition and coding module acquires the audio digital signals.
Further, the resonance that the vibrations detection module gathered the camera fuselage and produced owing to erect ground production generates and generates vibrations digital signal, the vibrations detection module will vibrations digital signal sends for host system, gathers resonance through vibrations detection module.
Furthermore, the main control module receives the second image digital signal, the audio digital signal and the vibration digital signal, processes and analyzes the second image digital signal, identifies whether the second image digital signal contains full-load information of the large vehicle, counts and stores the full-load information as road monitoring data, and finally analyzes the full-load information through the main control module to obtain the road monitoring data which is used as a parameter index of road maintenance.
Furthermore, the peripheral interface and the output module are in communication connection with a third-party data platform, the main control module sends the second image digital signal, the audio digital signal, the vibration digital signal and the road monitoring data to the third-party data platform through the peripheral interface and the output module, and whether the road is maintained or not and a maintenance scheme are comprehensively judged by combining other factors in the full life cycle research of the road through the third-party data platform.
A camera analysis method with a vibration detection function comprises the following steps:
s1: the method comprises the steps that large-scale vehicle phenomenon information, vehicle full-load phenomenon information, audio digital signal grade information and vibration digital signal grade information are preset in a main control module of a camera with a vibration detection function erected on a current road section, wherein the audio digital signal grade information further comprises an audio digital signal critical grade, and the vibration digital signal grade information further comprises a vibration digital signal critical grade; presetting a full-load grade of a large vehicle;
s2: the main control module identifies whether the second image digital signal has large-scale vehicle phenomenon information or not and whether the second image digital signal has vehicle full load phenomenon information or not, and if the second image digital signal does not have the large-scale vehicle phenomenon information or the vehicle full load phenomenon information, further analysis and processing are stopped; otherwise, turning to the next step;
s3: the master control module identifies and compares the audio digital signal and the grade information of the audio digital signal, grades the audio digital signal to obtain the actual grade of the audio digital signal, and compares whether the actual grade of the audio digital signal exceeds the critical grade of the audio digital signal;
s4: the master control module identifies and compares the vibration digital signal and the grade information of the vibration digital signal, grades the vibration digital signal to obtain the actual grade of the vibration digital signal, and compares whether the actual grade of the vibration digital signal exceeds the critical grade of the vibration digital signal;
s5, if the actual grade of the audio digital signal does not exceed the critical grade of the audio digital signal and the actual grade of the vibration digital signal does not exceed the critical grade of the vibration digital signal, stopping further analysis and processing; otherwise, turning to the next step;
s6: confirming that full-load information of the large vehicle exists, comparing full-load grades of the large vehicle, confirming full-load actual grades of the large vehicle, counting the vehicles confirmed to have the full-load information of the large vehicle according to the full-load actual grades of the large vehicle, storing the counted data as road monitoring data, counting the number of passing parameters and the passing time parameters, and sending the road monitoring data to a third-party data platform through a peripheral interface and an output module.
According to the method, various confused data sources are screened, a two-layer screening scheme is set, full-load accurate data of the large vehicle is effectively obtained through image judgment, vibration monitoring and audio monitoring initially, the acquired information is analyzed and rated through multiple times of information screening and filtering, accurate road monitoring data is obtained, statistics is carried out for a long period, and a reliable data source is provided for road maintenance and curing processes.
Furthermore, the third-party data platform evaluates the fatigue degree and the damage degree of the road of the current road section in a certain period by taking the road monitoring data as a basic data source and combining the current road section including the weather condition, the temperature, the humidity and the precipitation, analyzes and obtains a current road section maintenance scheme, wherein the current road section maintenance scheme includes the type of maintenance and maintenance, the maintenance level and the maintenance process, and provides reliable suggestions for the maintenance and the maintenance process of the road by combining other factors in the full life cycle research of the road, so that the service life of the road is prolonged.
Compared with the prior art, the invention has the beneficial effects that: (1) whether heavy-duty vehicles exist on the current road or not is obtained through image acquisition and analysis, vibration detection and analysis and audio acquisition and analysis, the heavy-duty vehicles are counted to serve as key parameters for damage of the road and maintenance, the road is monitored for a long time, and reliable suggestions can be provided for maintenance and maintenance processes of the road under the assistance of big data and relevant artificial intelligence analysis systems by combining other factors in the research of the whole life cycle of the road, so that the service life of the road is prolonged, and more favorable conditions are provided for development of the economic society; (2) according to the method, various confused data sources are screened, a two-layer screening scheme is set, full-load accurate data of the large vehicle is effectively obtained through image judgment, vibration monitoring and audio monitoring initially, the acquired information is analyzed and rated through multiple times of information screening and filtering, accurate road monitoring data is obtained, statistics is carried out for a long period, and a reliable data source is provided for road maintenance and curing processes.
Drawings
Fig. 1 is a schematic diagram of module connection according to embodiment 1 of the present invention.
Detailed Description
In order to further understand the objects, structures, features, and functions of the present invention, the following embodiments are described in detail.
Embodiment 1, a camera with a shake detection function, comprising a camera body with a support rod, including a lens, a CCD/CMOS sensor, a DSP video processing chip, a main control module, a power module, an audio acquisition and encoding module, a shake detection module, a power module, and a peripheral interface and output module;
the camera lens is arranged at the front end of the camera body, and the audio acquisition and coding module and the vibration detection module are integrated in the camera body;
the lens is arranged on the outer side of the CCD/CMOS sensor, and the CCD/CMOS sensor is electrically connected with the DSP video processing chip;
the DSP video processing chip, the audio acquisition and coding module, the vibration detection module, the peripheral interface and the output module are electrically connected with the main control module;
the power module supplies power to all parts of the camera.
Specifically, the method comprises the following steps: lens: the lens is the main component of the optical imaging of the camera and is responsible for reflecting the collected object to be irradiated to the sensor through the pinhole imaging principle.
CCD/CMOS sensor: the function of the lens is to convert the image imaged by the lens into a digital signal.
DSP video processing chip: the digital signal converted by the image sensor is subjected to signal amplification, correction and special function processing; such as auto focus, wide motion, digital slow shutter, color black and white conversion, area masking, digital noise reduction, white balance, etc.
The audio acquisition and coding module: the sound pickup equipment integrated on the camera is used for collecting omnidirectional audio around the camera, carrying out audio coding on the omnidirectional audio, and then providing the audio coding for the post-processing application of the main control module.
The vibration detection module: through the vibration detection module integrated on the camera, the vibration of the camera caused by the passing of vehicles and the road surface or the resonance possibly generated by the engine sound, the ground and the rod can be detected.
After long-term learning, the audio acquisition and coding module can distinguish whether the engine sound is the rumbling when the large vehicle is fully loaded, and the vibration detection module can distinguish the resonance generated by the engine sound and the ground or a camera rod piece when the large vehicle is fully loaded, the road vibration caused when the vehicle passes through and the like.
Peripheral interface module and output module: the interface is an interface between a camera and external equipment, namely data input and output, audio and video output, alarm linkage I/O and power input, input or input interfaces with other special functions and the like.
The output types of the peripheral interface module and the output module include but are not limited to: network, audio, data, etc.
A power supply module: for supplying power to all modules of the camera
Whether heavy-duty vehicles exist on the current road or not is obtained through image acquisition and analysis, vibration detection and analysis and audio acquisition and analysis, the heavy-duty vehicles are counted, the parameters are used as key parameters for damage of the road and whether maintenance is needed or not, and long-term monitoring is achieved.
In the specific implementation of this embodiment, the CCD/CMOS sensor collects image information obtained by imaging the lens and converts the image information into an image digital signal, the CCD/CMOS sensor sends the digital signal to the DSP video processing chip, the DSP video processing chip processes the received image digital signal, including digital signal amplification, correction and functional processing, to obtain a second image digital signal, the DSP video processing chip sends the second image digital signal to the main control module, and the image information is collected and analyzed by the CCD/CMOS sensor and the DSP video processing chip.
When the embodiment is implemented, the audio acquisition and coding module acquires omnidirectional audio on the peripheral side of the camera body and performs audio coding to obtain audio digital signals, the audio acquisition and coding module sends the audio digital signals to the main control module, and the audio acquisition and coding module acquires the audio digital signals.
When this embodiment is implemented specifically, vibrations detection module gathers the camera fuselage and produces vibrations digital signal owing to erect the vibrations that ground produced, and vibrations detection module sends vibrations digital signal for host system, gathers resonance through vibrations detection module.
When the embodiment is implemented specifically, the main control module receives the second image digital signal, the audio digital signal and the vibration digital signal, processes and analyzes the second image digital signal, identifies whether the second image digital signal contains full-load information of the large vehicle, counts and stores the full-load information as road monitoring data, and finally analyzes the road monitoring data through the main control module to obtain the road monitoring data which is used as a parameter index of road maintenance.
When the embodiment is implemented specifically, the peripheral interface and the output module are in communication connection with a third-party data platform, the main control module sends the second image digital signal, the audio digital signal, the vibration digital signal and the road monitoring data to the third-party data platform through the peripheral interface and the output module, and whether the road is maintained or not and a maintenance scheme are comprehensively judged by combining the third-party data platform and other factors in the full-life-cycle research of the road.
The third party data platform is generally referred to as a road management department platform.
Embodiment 2, a camera analysis method with a shake detection function includes the steps of:
s1: the method comprises the steps that large-scale vehicle phenomenon information, vehicle full-load phenomenon information, audio digital signal grade information and vibration digital signal grade information are preset in a main control module of a camera with a vibration detection function erected on a current road section, wherein the audio digital signal grade information further comprises an audio digital signal critical grade, and the vibration digital signal grade information further comprises a vibration digital signal critical grade; presetting a full-load grade of a large vehicle;
s2: the main control module identifies whether the second image digital signal contains large-scale vehicle phenomenon information or not, whether the second image digital signal contains vehicle full-load phenomenon information or not, and if the second image digital signal does not contain the large-scale vehicle phenomenon information or the vehicle full-load phenomenon information, further analysis and processing are stopped; otherwise, turning to the next step;
the step S2 is ended to screen the data source for the first time;
s3: the master control module identifies and compares the audio digital signal with the audio digital signal grade information, grades the audio digital signal to obtain the actual grade of the audio digital signal, and compares whether the actual grade of the audio digital signal exceeds the critical grade of the audio digital signal;
s4: the master control module identifies and compares the vibration digital signal and the grade information of the vibration digital signal, grades the vibration digital signal to obtain the actual grade of the vibration digital signal, and compares whether the actual grade of the vibration digital signal exceeds the critical grade of the vibration digital signal;
s5, if the actual grade of the audio digital signal does not exceed the critical grade of the audio digital signal and the actual grade of the vibration digital signal does not exceed the critical grade of the vibration digital signal, stopping further analysis and processing; otherwise, turning to the next step;
the step S5 ends with the second data source screening;
s6: confirming that full-load information of the large vehicle exists, comparing full-load grades of the large vehicle, confirming full-load actual grades of the large vehicle, counting the vehicles confirmed to have the full-load information of the large vehicle according to the full-load actual grades of the large vehicle, storing the counted data as road monitoring data, counting the number of passing parameters and the passing time parameters, and sending the road monitoring data to a third-party data platform through a peripheral interface and an output module.
According to the method, various confusion data sources are screened, a two-layer screening scheme is set, full-load accurate data of the large vehicle is effectively obtained through image judgment, vibration monitoring and audio monitoring initially, the acquired information is analyzed and graded through multiple times of information screening and filtering, accurate road monitoring data is obtained, statistics is carried out for a long period, and a reliable data source is provided for road maintenance and curing processes.
When the embodiment is implemented specifically, the third-party data platform evaluates the fatigue degree and the damage degree of the road of the current road section in a certain period by taking the road monitoring data as a basic data source and combining the current road section including the weather condition, the temperature, the humidity and the precipitation, analyzes and obtains the current road section maintenance scheme, the current road section maintenance scheme includes whether maintenance and maintenance are needed, the maintenance type, the maintenance level and the maintenance process, and provides reliable suggestions for the maintenance and the maintenance process of the road by combining other factors in the full life cycle research of the road, so that the service life of the road is prolonged.
The present invention has been described in relation to the above embodiments, which are only exemplary of the implementation of the present invention. It should be noted that the disclosed embodiments do not limit the scope of the invention. Rather, it is intended that the invention be covered by the appended claims without departing from the spirit and scope of the invention.
Claims (8)
1. A camera with vibration detection function comprises a camera body with a support rod piece, and is characterized in that: the device comprises a lens, a CCD/CMOS sensor, a DSP video processing chip, a main control module, a power supply module, an audio acquisition and coding module, a vibration detection module, a power supply module and an external interface and output module;
the camera lens is arranged at the front end of the camera body, and the audio acquisition and coding module and the vibration detection module are integrated in the camera body;
the lens is arranged on the outer side of the CCD/CMOS sensor, and the CCD/CMOS sensor is electrically connected with the DSP video processing chip;
the DSP video processing chip, the audio acquisition and encoding module, the vibration detection module, the peripheral interface and the output module are electrically connected with the main control module;
the power supply module supplies power to all parts of the camera.
2. The camera with a shake detection function according to claim 1, wherein: the CCD/CMOS sensor collects image information after the lens is imaged and converts the image information into image digital signals, the CCD/CMOS sensor sends the digital signals to the DSP video processing chip, the DSP video processing chip processes the received image digital signals, the digital signals are amplified, corrected and functionally processed, second image digital signals are obtained, and the DSP video processing chip sends the second image digital signals to the main control module.
3. The camera with a shake detection function according to claim 1, wherein: the camera body side omnidirectional audio acquisition and coding module acquires the omnidirectional audio of the camera body side and carries out audio coding to obtain audio digital signals, and the audio acquisition and coding module sends the audio digital signals to the main control module.
4. The camera with a shake detection function according to claim 1, wherein: the vibration detection module collects resonance generated by vibration generated by erecting the ground of the camera body and generates vibration digital signals, and the vibration detection module sends the vibration digital signals to the main control module.
5. The camera with shake detection function according to claim 2, 3 or 4, characterized in that: the main control module receives the second image digital signal, the audio digital signal and the vibration digital signal, processes and analyzes the second image digital signal, identifies whether the second image digital signal contains full-load information of the large vehicle, and counts and stores the full-load information as road monitoring data.
6. The camera with a shake detection function according to claim 1, wherein: the peripheral interface and output module is in communication connection with a third-party data platform, and the main control module sends the second image digital signal, the audio digital signal, the vibration digital signal and the road monitoring data to the third-party data platform through the peripheral interface and output module.
7. A camera analysis method with a shake detection function, which employs the camera with a shake detection function according to any one of claims 1 to 6, characterized in that: the method comprises the following steps:
s1: the method comprises the steps that large-scale vehicle phenomenon information, vehicle full-load phenomenon information, audio digital signal grade information and vibration digital signal grade information are preset in a main control module of a camera with a vibration detection function erected on a current road section, wherein the audio digital signal grade information further comprises an audio digital signal critical grade, and the vibration digital signal grade information further comprises a vibration digital signal critical grade; presetting a full-load grade of a large vehicle;
s2: the main control module identifies whether the second image digital signal contains large-scale vehicle phenomenon information or not and whether the second image digital signal contains vehicle full-load phenomenon information or not, and if the second image digital signal does not contain the large-scale vehicle phenomenon information or the vehicle full-load phenomenon information, further analysis and processing are stopped; otherwise, turning to the next step;
s3: the master control module identifies and compares the audio digital signal and the grade information of the audio digital signal, grades the audio digital signal to obtain the actual grade of the audio digital signal, and compares whether the actual grade of the audio digital signal exceeds the critical grade of the audio digital signal;
s4: the master control module identifies and compares the vibration digital signal and the grade information of the vibration digital signal, grades the vibration digital signal to obtain the actual grade of the vibration digital signal, and compares whether the actual grade of the vibration digital signal exceeds the critical grade of the vibration digital signal;
s5, if the actual grade of the audio digital signal does not exceed the critical grade of the audio digital signal and the actual grade of the vibration digital signal does not exceed the critical grade of the vibration digital signal, stopping further analysis and processing; otherwise, turning to the next step;
s6: confirming that full-load information of the large vehicle exists, comparing full-load grades of the large vehicle, confirming full-load actual grades of the large vehicle, counting the vehicles confirmed to have the full-load information of the large vehicle according to the full-load actual grades of the large vehicle, storing the counted data as road monitoring data, counting the number of passing parameters and the passing time parameters, and sending the road monitoring data to a third-party data platform through a peripheral interface and an output module.
8. The camera analysis method with vibration detection function according to claim 7, characterized in that: the third-party data platform evaluates the fatigue degree and the damage degree of the road of the current road section in a certain period by taking the road monitoring data as a basic data source and combining the weather condition, the temperature, the humidity and the precipitation of the current road section, and analyzes and obtains the current road section maintenance scheme, wherein the current road section maintenance scheme comprises the type, the maintenance level and the maintenance process of whether maintenance and maintenance are needed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210514384.3A CN114785933A (en) | 2022-05-12 | 2022-05-12 | Camera with vibration detection function and analysis method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210514384.3A CN114785933A (en) | 2022-05-12 | 2022-05-12 | Camera with vibration detection function and analysis method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114785933A true CN114785933A (en) | 2022-07-22 |
Family
ID=82436499
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210514384.3A Pending CN114785933A (en) | 2022-05-12 | 2022-05-12 | Camera with vibration detection function and analysis method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114785933A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114996373A (en) * | 2022-03-31 | 2022-09-02 | 重庆市凤筑科技有限公司 | Public transportation big data system, method and storage medium based on geographic information system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108335002A (en) * | 2017-01-20 | 2018-07-27 | 亚信蓝涛（江苏）数据科技有限公司 | A kind of visual road maintenance big data analysis system |
| CN109919069A (en) * | 2019-02-27 | 2019-06-21 | 浙江浩腾电子科技股份有限公司 | Oversize vehicle analysis system based on deep learning |
| CN110096932A (en) * | 2018-01-31 | 2019-08-06 | 北京迈特科智能科技有限公司 | Lane intelligent control box |
| CN113724512A (en) * | 2021-08-27 | 2021-11-30 | 江苏尤特斯新技术有限公司 | Holographic traffic signal lamp system |
-
2022
- 2022-05-12 CN CN202210514384.3A patent/CN114785933A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108335002A (en) * | 2017-01-20 | 2018-07-27 | 亚信蓝涛（江苏）数据科技有限公司 | A kind of visual road maintenance big data analysis system |
| CN110096932A (en) * | 2018-01-31 | 2019-08-06 | 北京迈特科智能科技有限公司 | Lane intelligent control box |
| CN109919069A (en) * | 2019-02-27 | 2019-06-21 | 浙江浩腾电子科技股份有限公司 | Oversize vehicle analysis system based on deep learning |
| CN113724512A (en) * | 2021-08-27 | 2021-11-30 | 江苏尤特斯新技术有限公司 | Holographic traffic signal lamp system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114996373A (en) * | 2022-03-31 | 2022-09-02 | 重庆市凤筑科技有限公司 | Public transportation big data system, method and storage medium based on geographic information system |
| CN114996373B (en) * | 2022-03-31 | 2023-08-08 | 重庆市凤筑科技有限公司 | Public transportation big data system and method based on geographic information system and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113780312B (en) | Highway road surface condition detecting system | |
| CN100466008C (en) | Traffic monitoring method and electronic police system | |
| CN112149522A (en) | Intelligent visual external-damage-prevention monitoring system and method for cable channel | |
| US20130021477A1 (en) | Method and camera for determining an image adjustment parameter | |
| CN114785933A (en) | Camera with vibration detection function and analysis method thereof | |
| CN106851229B (en) | Security and protection intelligent decision method and system based on image recognition | |
| CN113887412A (en) | Detection method, detection terminal, monitoring system and storage medium for pollution emission | |
| CN104994311A (en) | Automatic adjustment light supplement method of electronic police apparatus | |
| CN109326125B (en) | Picture quality diagnosis system and method based on embedded system | |
| CN112419686A (en) | Multistage judgment alarm and event recording system for bridge impact detection | |
| CN115936672A (en) | Smart power grid online safety operation and maintenance management method and system | |
| WO2013096029A2 (en) | Integrated video quantization | |
| CN105959541B (en) | The method for improving image quality is identified by natural environment | |
| CN102104721A (en) | Double-mode intelligent vision sensing system architecture | |
| CN117097994A (en) | Acquisition system for amplifying and enhancing multiple low-light images | |
| CN113643249B (en) | Health state generation method and system of road comprehensive pole system | |
| CN112083693B (en) | Paint production line information management system based on internet of things technology | |
| CN112379362B (en) | Event self-adaptive acquisition equipment and method based on multi-source data fusion | |
| CN101064832A (en) | Railway locomotive trainman visual remote wireless transmission monitoring record system | |
| CN202904884U (en) | High-definition video comprehensive detection system | |
| JP6235302B2 (en) | Surveillance camera and image monitoring device | |
| CN1190952C (en) | Digital image monitoring control system capable of automatic adjusting lens diaphragm and detecting object movement | |
| CN202210291U (en) | License plate identification video acquisition card | |
| CN107623827B (en) | Intelligent CMOS image sensor chip and manufacturing method thereof | |
| CN205644965U (en) | Forbidden automatic monitoring snapshot system of large truck |
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 |