CN114022755B - Image analysis platform and method - Google Patents

Image analysis platform and method Download PDF

Info

Publication number
CN114022755B
CN114022755B CN202210000663.8A CN202210000663A CN114022755B CN 114022755 B CN114022755 B CN 114022755B CN 202210000663 A CN202210000663 A CN 202210000663A CN 114022755 B CN114022755 B CN 114022755B
Authority
CN
China
Prior art keywords
time interval
image
locking
time
information
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
Application number
CN202210000663.8A
Other languages
Chinese (zh)
Other versions
CN114022755A (en
Inventor
章志勇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangsu Mingdu Wisdom Public Safety Technology Research Institute Co ltd
Original Assignee
Jiangsu Mingdu Wisdom Public Safety Technology Research Institute Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jiangsu Mingdu Wisdom Public Safety Technology Research Institute Co ltd filed Critical Jiangsu Mingdu Wisdom Public Safety Technology Research Institute Co ltd
Priority to CN202210000663.8A priority Critical patent/CN114022755B/en
Publication of CN114022755A publication Critical patent/CN114022755A/en
Application granted granted Critical
Publication of CN114022755B publication Critical patent/CN114022755B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42Determining position
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Abstract

An image analysis platform and method comprising: the system comprises a law enforcement recorder configured to correspond to the traffic police and a background monitoring device connected with the law enforcement recorder through a wireless network; the law enforcement recorder comprises a shell, a controller, a wireless communication module and a GPS module are arranged in the shell, a camera is arranged on the outer wall of the shell, and the GPS module, the wireless communication module and the camera are all connected with the controller; a license plate number identification module and a fuzzy degree calculation unit run on the controller; the defects that in the prior art, a law enforcement recorder can only simply collect images containing field vehicle license plates to transmit to a background monitoring device, the efficiency of identifying license plates in the images of the field vehicle license plates is low, a mode of synchronously acquiring the field images and position information corresponding to the field images is lacked, and errors are frequently caused in monitoring wireless network blockage are effectively overcome.

Description

Image analysis platform and method
Technical Field
The invention relates to the technical field of image analysis, in particular to an image analysis platform and method.
Background
The law enforcement recorder is a forensic technical device which is worn by traffic police in site law enforcement and integrates the functions of real-time photographing, recording and the like. The system integrates the functions of photographing, talkback, positioning and storage, can transmit the wireless real-time images, can digitally record the static field conditions in the law enforcement process, and is convenient for the traffic police to apply the law enforcement in various environments.
That is to say, in the field law enforcement of the traffic police, the pictures are collected on site through the law enforcement recorder, and then transmitted to the background monitoring device through the wireless real-time images for displaying and storing, so as to achieve the purpose of field law enforcement and evidence collection of the traffic police.
In practical application, the license plate number of the on-site vehicle sometimes needs to be obtained, but the current law enforcement recorder can only simply collect the image containing the on-site vehicle license plate to transmit to the background monitoring device, and a monitor can identify the license plate number in the image of the vehicle license plate by naked eyes through the image of the on-site vehicle license plate, so that the efficiency of identifying the license plate number in the image of the on-site vehicle license plate is low.
In practical use, it is sometimes necessary to acquire a live image and position information corresponding thereto, but such a method of synchronously acquiring a live image and position information corresponding thereto is currently lacking.
In practical application, if the field recorder is to transmit field evidence information such as image information of a license plate of a field vehicle and field image information to the background monitoring device, the field evidence information is often transmitted through a wireless network, however, the wireless network has the limitation of wireless media, which often causes the problem of blocking, and important equipment such as law enforcement recorder for collecting the field evidence is not favorable for transmitting the field evidence information to the background monitoring device if the wireless network has the problem of blocking, so that it is necessary to perform blocking monitoring on the wireless network, in such cases, wireless network congestion monitoring is performed by using the temporary storage space for evidence information as a basis for congestion determination, and if the value in the temporary storage space is NULL, in addition, when the temporary storage space of the evidence information is higher than the set time interval, no other field evidence information is collected, and the evidence information is considered to be blocked; the other rule is to determine the blockage by using the method of time consumption and time limit exceeding of information message feedback of the field evidence information, and if the time consumption of the information message feedback of the field evidence information is too high or the time limit is exceeded, the blockage is determined.
Under the TFTP standard, the message is not provided with a temporary storage space, or the capacity of the temporary storage space is too low, and the message is allowed to be lost, so that one type of rule usually makes mistakes and the correctness is not high; in addition, the TFTP is a standard for preventing the poor performance of the wireless network and allowing the message loss, because the message loss compensation method of the law enforcement recorder compensates, under the condition of continuous message loss, the information message of the field evidence information compensated by the message loss compensation method has the same bandwidth and frequency point, and some noise is often introduced, especially when the bandwidth and the frequency point are not low; the message loss compensation method compensates for the time consumption of guidance, and under specific application, a monitor is not easy to detect, so that the monitor recognizes the blockage according to the time consumption and does not really block, so that the monitor knows that the blockage is wrong, and another type of rule also usually makes mistakes.
In a word, the field recorder transmits field evidence information such as image information of a field vehicle license plate or field image information to the background monitoring device, and the wireless network monitoring under the TFTP standard has no correct and better monitoring mode at present; therefore, under the condition that a field recorder with high reliability and small time consumption is required to transmit field evidence information to a background monitoring device, how to more correctly achieve wireless network blocking monitoring and give a monitor reliable evidence information transmission feeling is a difficult problem to be overcome at present.
Disclosure of Invention
In order to solve the problems, the invention provides an image analysis platform and an image analysis method, which effectively overcome the defects that in the prior art, a law enforcement recorder can only simply collect images containing field vehicle license plates to transmit to a background monitoring device, the efficiency of identifying the license plates in the images of the field vehicle license plates is low, a mode of synchronously acquiring the field images and corresponding position information is lacked, and the monitoring of wireless network blockage is often mistaken.
In order to overcome the defects in the prior art, the application provides a solution for an image analysis platform and a method, which specifically comprises the following steps:
an image analysis platform comprising:
the system comprises a law enforcement recorder configured to correspond to the traffic police and a background monitoring device connected with the law enforcement recorder through a wireless network;
the law enforcement recorder comprises a shell, a controller, a wireless communication module and a GPS module are arranged in the shell, a camera is arranged on the outer wall of the shell, and the GPS module, the wireless communication module and the camera are all connected with the controller; a license plate number identification module and a fuzzy degree calculation unit run on the controller;
the GPS module is used for collecting field longitude and latitude information and transmitting the field longitude and latitude information to the controller when field image information needs to be collected;
the camera is used for collecting the field image and transmitting the field image to the controller when the field image information needs to be collected; the system is used for collecting the images of the vehicle license plates on site and transmitting the images to the controller when the image information of the vehicle license plates on site needs to be collected;
the license plate number recognition module is used for recognizing corresponding license plate number information in an image of a vehicle license plate on site;
the ambiguity calculation unit is used for calculating the ambiguity of the live image;
the controller is also stored with ID number of the law enforcement recorder, information of the traffic police department to which the traffic police belongs corresponding to the law enforcement recorder, name information of the traffic police corresponding to the law enforcement recorder and the police number information of the traffic police corresponding to the law enforcement recorder;
the modules operating in the controller further comprise:
the system comprises a receiving module, an obtaining module, a notification module I and a notification module II;
the receiving module is used for receiving a first notification instruction transmitted by the background monitoring device, wherein the first notification instruction is used for notifying that the filtering time consumption of the background monitoring device is higher than the upper limit amount of the time consumption, and the filtering time consumption is the time interval between the time point when the background monitoring device achieves filtering of a previous image and the current time point;
the obtaining module is used for obtaining time consumption for collecting the on-site evidence information aiming at the first notification instruction, wherein the time consumption for collecting the on-site evidence information is the time interval between the current time point and the time point of the last time of receiving the on-site image transmitted by the camera or the image of the on-site vehicle license plate;
the notification module I is used for transmitting a notification instruction II to the background monitoring device in a timed manner by using a preset time interval I as a time interval under the condition that the consumed time for collecting the on-site evidence information is higher than the time interval critical amount and is lower than the time interval critical amount II; the notification instruction is used for notifying the camera of image transmission blockage collected;
and the notification module II is used for transmitting a notification instruction III to the background monitoring device under the condition that the consumed time for collecting the on-site evidence information is higher than the time interval critical amount II, and the notification instruction III is used for notifying the image transmission stop of the camera.
Further, under the condition that the time consumption for collecting the on-site evidence information is lower than one time interval critical amount, transmitting a blocking monitoring specification during transmission to the background monitoring device;
the during-transmission congestion monitoring specification comprises: when the filtering time consumption is higher than the upper limit amount of the time consumption and the image display rule is regular one, obtaining a locking time interval amount in a preset time interval two, and confirming the image information transmission blockage of the background monitoring device when the locking time interval amount is high and the time interval critical amount is third; the locking time distance amount is as follows: and within the preset time interval two, the time interval is positioned in the locking state.
Further, the during-transmission congestion monitoring specification further includes:
when the locking time interval is high and the outdated time interval is critical, increasing the blocking frequency by 1;
determining whether the blocking frequency is a high pass frequency threshold number;
and when the blocking frequency is higher than the over-frequency critical number, confirming that the image information transmission of the background monitoring device is blocked frequently.
The module running in the background monitoring device further comprises: the system comprises an index obtaining module, a transmission module, a receiving specification module, a disposal module and a confirmation module;
the index obtaining module is used for obtaining filtering time consumption, wherein the filtering time consumption is a time interval between a time point when the background monitoring device achieves filtering of a previous image and a current time point;
a transmission module, which is used for transmitting a notification instruction I and confirming that the filter time is in the locking condition to the controller when the filter time is higher than the upper limit of the filter time;
a receiving specification module for receiving a congestion monitoring specification during transmission transmitted by the controller;
the processing module is used for obtaining a locking time interval quantity in a preset time interval two under the condition that the image display rule is a rule one, wherein the locking time interval quantity is as follows: within the preset time interval two, the time interval quantity is positioned in the locking condition;
and the confirming module is used for confirming the image information transmission blockage of the background monitoring device when the locking time interval is high and the outdated time interval is critical.
Further, receiving a notification instruction II or a notification instruction III transmitted by the controller; here, the notification instruction is used for notifying the camera of image transfer blocking, and the notification instruction is used for notifying the camera of image transfer stopping; and displaying the notification instruction II or the notification instruction III.
Further, after confirming that the image information transmission of the background monitoring device is blocked, the second method further includes the following steps: displaying a notification instruction, wherein the notification instruction is used for notifying that the image display rule is changed into a rule two through a rule one; the resolution of the image displayed by the rule one is higher than that of the image displayed by the rule two; and aiming at the mode change operation executed by the monitor, changing the image display rule into a rule two through a rule one.
Further, after the image display rule is changed from rule one to rule two, the method two further includes the following steps: obtaining a locking time interval, wherein the locking time interval is a time interval between a time point of a previous confirmation in a locking condition and a current time point; if the locking time interval is higher than a preset time interval three, changing the rule two into the rule one, and increasing the blocking frequency by 1; determining whether the blocking frequency is a high pass frequency threshold number; and when the blocking frequency is higher than the over-frequency critical number, confirming that the image information transmission of the background monitoring device is blocked frequently.
Further, after it is confirmed that the image information of the background monitoring apparatus is frequently blocked, the second method further includes:
and when the locking time interval is high and the time interval is critical, actively changing the image display rule into a rule two through a rule one.
A method of an image analysis platform, comprising:
step 1: when field image information needs to be collected, a GPS module of the law enforcement recorder collects field longitude and latitude information and transmits the field longitude and latitude information to the controller, and a camera of the synchronous law enforcement recorder collects field images and transmits the field images to the controller;
step 2: the controller combines the ID number of the law enforcement recorder, the information of the traffic police department to which the corresponding traffic police belongs, the name information of the traffic police corresponding to the law enforcement recorder, the police number information of the traffic police corresponding to the law enforcement recorder, the site image, the longitude and latitude information of the site and the ambiguity of the site image to form the site image information;
and step 3: when the image information of the vehicle license plate on site needs to be collected, the camera of the law enforcement recorder collects the image of the vehicle license plate on site and transmits the image to the controller;
and 4, step 4: the license plate number recognition module recognizes corresponding license plate number information in the image of the site vehicle license plate, and the controller combines the ID number of the law enforcement recorder, the image of the site vehicle license plate and the license plate number information to form the image information of the site vehicle license plate;
and 5: the controller transmits field evidence information such as field image information or image information of a field vehicle license plate to the background monitoring device, and the field evidence information is displayed after being subjected to image filtering processing;
the step 5 comprises the following steps:
the method I running on the controller comprises the following procedures:
step 5-1: receiving a first notification instruction transmitted by a background monitoring device, wherein the first notification instruction is used for notifying that the filtering time consumption of the background monitoring device is higher than the upper limit amount of the time consumption, and the filtering time consumption is the time interval between the time point when the background monitoring device achieves filtering of a previous image and the current time point;
step 5-2: acquiring time consumption for collecting the on-site evidence information aiming at the first notification instruction, wherein the time consumption for collecting the on-site evidence information is a time interval between a current time point and a time point of last time of collecting an on-site image or an image of an on-site vehicle license plate transmitted by a camera;
step 5-3: under the condition that the consumed time for collecting the on-site evidence information is higher than the time interval critical amount and lower than the time interval critical amount II, a preset time interval I is used as a time interval, and a notification instruction II is transmitted to the background monitoring device at regular time; the notification instruction is used for notifying the camera of image transmission blockage collected;
step 5-4: and under the condition that the consumed time for collecting the on-site evidence information is higher than the time interval critical amount two, transmitting a third notification instruction to the background monitoring device, wherein the third notification instruction is used for notifying the camera that the image transmission is stopped.
Further, under the condition that the time consumption for collecting the on-site evidence information is lower than one time interval critical amount, transmitting a blocking monitoring specification during transmission to the background monitoring device;
the during-transmission congestion monitoring specification comprises: when the filtering time consumption is higher than the upper limit amount of the time consumption and the image display rule is regular one, obtaining a locking time interval amount in a preset time interval two, and confirming the image information transmission blockage of the background monitoring device when the locking time interval amount is high and the time interval critical amount is third; the locking time distance amount is as follows: within the preset time interval two, the time interval quantity is positioned in the locking condition;
the congestion monitoring specification during transmission specifically includes: initially constructing a database on the controller, the name of an information item in the database being P1, registering a lock start time point; the name of another information item in the information base is P2, and information of locking time distance is registered;
the locking condition has an initial point and a final point, the initial point of locking is a condition that the filtering time just exceeds the upper limit of the time consumption, the initial point of locking is a point of time that the filtering time just exceeds the upper limit of the time consumption, the final point of locking is a condition formed when the filtering is finished under the locking condition, the final point of locking is a point of time when the filtering is finished under the locking condition, and then when the locking condition of one round is finished, the initial point of locking under the locking condition of the round and the corresponding locking time interval under the locking condition of the round are respectively added into an information item P1 and an information item P2 of the information base;
the operation mode of the locking time interval is as follows: if the locking time interval used as the blocking period is not higher than the threshold time interval by three and is in the locking condition, the actual time interval in the locking condition is increased by 1 second every 1 second to be used as the locking time interval, and the locking time interval is the total measurement of the actual time interval in the locking condition in the preset time interval by two.
Further, the during-transmission congestion monitoring specification further includes:
when the locking time interval is high and the outdated time interval is critical, increasing the blocking frequency by 1;
determining whether the blocking frequency is a high pass frequency threshold number;
and when the blocking frequency is higher than the over-frequency critical number, confirming that the image information transmission of the background monitoring device is blocked frequently.
The step 5 further comprises:
a second method running on the background monitoring device, the second method comprising the following procedures:
step 5-a: obtaining the filtration time;
step 5-b: when the filtering consumed time is higher than the upper limit amount of consumed time, transmitting a notification instruction I to the controller and confirming that the filter is in the locking condition;
step 5-c: receiving a notification instruction II or a notification instruction III transmitted by the controller;
and 5-d: displaying the notification instruction II or the notification instruction III;
step 5-e: receiving a congestion monitoring specification during transmission communicated by the controller;
step 5-f: obtaining a locking time interval quantity in a preset time interval two under the condition that the image display rule is a rule one;
step 5-g: and when the locking time interval is high and the outdated time interval is critical, confirming the image information transmission blockage of the background monitoring device.
Further, after confirming that the image information transmission of the background monitoring device is blocked, the second method further includes the following steps:
step 5-g-1: displaying an announcement instruction;
step 5-g-2: and aiming at the mode change operation executed by the monitor, changing the image display rule into a rule two through a rule one.
Further, after the image display rule is changed from rule one to rule two, the method two further includes the following steps:
step 5-g-3: obtaining a locking time period;
step 5-g-4: if the locking time interval is higher than a preset time interval three, changing the rule two into the rule one, and increasing the blocking frequency by 1;
step 5-g-5: determining whether the blocking frequency is a high pass frequency threshold number; and when the blocking frequency is higher than the over-frequency critical number, confirming that the image information transmission of the background monitoring device is blocked frequently.
Further, after it is confirmed that the image information of the background monitoring apparatus is frequently blocked, the second method further includes:
and when the locking time interval is high and the time interval is critical, actively changing the image display rule into a rule two through a rule one.
The invention has the beneficial effects that:
when field image information needs to be collected, a GPS module of the law enforcement register collects field longitude and latitude information and transmits the field longitude and latitude information to the controller, and a camera of the synchronous law enforcement register collects field images and transmits the field images to the controller; the controller combines the ID number of the law enforcement register, the information of the traffic police department to which the traffic police belongs, the name information of the traffic police, the police number information of the traffic police, the field image, the longitude and latitude information of the field and the ambiguity of the field image to form field image information; thus, the live image and the corresponding position information are synchronously obtained.
When the image information of the on-site vehicle license plate needs to be collected, the camera of the law enforcement register collects the image of the on-site vehicle license plate and transmits the image to the controller; the license plate number recognition module recognizes corresponding license plate number information in the image of the site vehicle license plate, and the controller combines the ID number of the law enforcement register, the image of the site vehicle license plate and the license plate number information together to form the image information of the site vehicle license plate; the controller transmits field evidence information such as field image information or image information of a field vehicle license plate to the background monitoring device, and the field evidence information is displayed after image filtering processing, so that the efficiency of identifying the license plate number in the field vehicle license plate image is high.
The invention obtains the filtering time consumption at first, when the filtering time consumption is higher than the upper limit amount of the filtering time consumption, the locking condition is confirmed and a notification instruction I is transmitted to the controller, the locking monitoring specification is obtained through receiving the transmission period blocking monitoring specification transmitted by the controller, namely, under the condition that the image display rule is a rule I, the locking time interval quantity in the preset time interval two is obtained, and the locking time interval quantity is determined to be not higher than the over time interval critical quantity three, if so, the image information transmission blocking of the background monitoring device is confirmed; therefore, in the face of the complexity and the unconfirmability in the process of transmitting the field evidence information such as the image information of the license plate of the field vehicle or the field image information to the background monitoring device by the field recorder, the method can achieve more accurate wireless network blocking monitoring.
The defects that in the prior art, a law enforcement register can only simply collect images containing field vehicle license plates to transmit to a background monitoring device, the efficiency of identifying license plates in the images of the field vehicle license plates is low, a mode of synchronously obtaining the field images and position information corresponding to the field images is lacked, and errors are frequently caused in monitoring wireless network blockage are effectively overcome.
Drawings
Fig. 1 is a block diagram of a module running in the controller and a module running in the background monitoring device according to the present invention.
Fig. 2 is a flow chart of steps 1 to 5 of the present invention.
FIG. 3 is a flow chart of step 5-1 through step 5-4 of the present invention.
Detailed Description
The present application will be further described with reference to the accompanying drawings and examples.
As shown in fig. 1-3, the image analysis platform includes:
the system comprises a law enforcement recorder configured to correspond to the traffic police and a background monitoring device connected with the law enforcement recorder through a wireless network; the background monitoring device can be a PC or a notebook. The wireless network can be a GPRS network, a 3G network or a 4G network.
The law enforcement recorder comprises a shell, a controller, a wireless communication module and a GPS module are arranged in the shell, a camera is arranged on the outer wall of the shell, and the GPS module, the wireless communication module and the camera are all connected with the controller; the controller can be a single chip or an ARM processor. A license plate number identification module and a fuzzy degree calculation unit run on the controller; the wireless communication module can be a GPRS module, a 3G module or a 4G module.
The GPS module is used for collecting field longitude and latitude information and transmitting the field longitude and latitude information to the controller when field image information needs to be collected;
the camera is used for collecting the field image and transmitting the field image to the controller when the field image information needs to be collected; the system is used for collecting the images of the vehicle license plates on site and transmitting the images to the controller when the image information of the vehicle license plates on site needs to be collected;
the license plate number recognition module is used for recognizing corresponding license plate number information in an image of a vehicle license plate on site;
the ambiguity calculation unit is used for calculating the ambiguity of the live image;
the controller is also stored with ID number of the law enforcement recorder, information of the traffic police department to which the traffic police belongs corresponding to the law enforcement recorder, name information of the traffic police corresponding to the law enforcement recorder and the police number information of the traffic police corresponding to the law enforcement recorder;
the modules operating in the controller further comprise:
the system comprises a receiving module, an obtaining module, a notification module I and a notification module II;
the receiving module is used for receiving a first notification instruction transmitted by the background monitoring device, wherein the first notification instruction is used for notifying that the filtering time consumption of the background monitoring device is higher than the upper limit amount of the time consumption, and the filtering time consumption is the time interval between the time point when the background monitoring device achieves filtering of a previous image and the current time point;
the obtaining module is used for obtaining time consumption for collecting the on-site evidence information aiming at the first notification instruction, wherein the time consumption for collecting the on-site evidence information is the time interval between the current time point and the time point of the last time of receiving the on-site image transmitted by the camera or the image of the on-site vehicle license plate;
the notification module I is used for transmitting a notification instruction II to the background monitoring device in a timed manner by using a preset time interval I as a time interval under the condition that the consumed time for collecting the on-site evidence information is higher than the time interval critical amount and is lower than the time interval critical amount II; the notification instruction is used for notifying the camera of image transmission blockage collected;
and the notification module II is used for transmitting a notification instruction III to the background monitoring device under the condition that the consumed time for collecting the on-site evidence information is higher than the time interval critical amount II, and the notification instruction III is used for notifying the image transmission stop of the camera.
Further, under the condition that the time consumption for collecting the on-site evidence information is lower than one time interval critical amount, transmitting a blocking monitoring specification during transmission to the background monitoring device;
here, the during-transmission congestion monitoring specification includes: when the filtering time consumption is higher than the upper limit amount of the time consumption and the image display rule is regular one, obtaining a locking time interval amount in a preset time interval two, and confirming the image information transmission blockage of the background monitoring device when the locking time interval amount is high and the time interval critical amount is third; the locking time distance amount is as follows: and within the preset time interval two, the time interval is positioned in the locking state.
Further, the during-transmission congestion monitoring specification further includes:
when the locking time interval is high and the outdated time interval is critical, increasing the blocking frequency by 1;
determining whether the blocking frequency is a high pass frequency threshold number;
and when the blocking frequency is higher than the over-frequency critical number, confirming that the image information transmission of the background monitoring device is blocked frequently.
The module running in the background monitoring device further comprises: the system comprises an index obtaining module, a transmission module, a receiving specification module, a disposal module and a confirmation module;
the index obtaining module is used for obtaining filtering time consumption, wherein the filtering time consumption is a time interval between a time point when the background monitoring device achieves filtering of a previous image and a current time point;
a transmission module, which is used for transmitting a notification instruction I and confirming that the filter time is in the locking condition to the controller when the filter time is higher than the upper limit of the filter time;
a receiving specification module for receiving a congestion monitoring specification during transmission transmitted by the controller;
the processing module is used for obtaining a locking time interval quantity in a preset time interval two under the condition that the image display rule is a rule one, wherein the locking time interval quantity is as follows: within the preset time interval two, the time interval quantity is positioned in the locking condition;
and the confirming module is used for confirming the image information transmission blockage of the background monitoring device when the locking time interval is high and the outdated time interval is critical.
Further, receiving a notification instruction II or a notification instruction III transmitted by the controller; here, the notification instruction is used for notifying the camera of image transfer blocking, and the notification instruction is used for notifying the camera of image transfer stopping; and displaying the notification instruction II or the notification instruction III.
Further, after confirming that the image information transmission of the background monitoring device is blocked, the second method further includes the following steps: displaying a notification instruction, wherein the notification instruction is used for notifying that the image display rule is changed into a rule two through a rule one; the resolution of the image displayed by the rule one is higher than that of the image displayed by the rule two; and aiming at the mode change operation executed by the monitor, changing the image display rule into a rule two through a rule one.
Further, after the image display rule is changed from rule one to rule two, the method two further includes the following steps: obtaining a locking time interval, wherein the locking time interval is a time interval between a time point of a previous confirmation in a locking condition and a current time point; if the locking time interval is higher than a preset time interval three, changing the rule two into the rule one, and increasing the blocking frequency by 1; determining whether the blocking frequency is a high pass frequency threshold number; and when the blocking frequency is higher than the over-frequency critical number, confirming that the image information transmission of the background monitoring device is blocked frequently.
Further, after it is confirmed that the image information of the background monitoring apparatus is frequently blocked, the second method further includes:
and when the locking time interval is high and the time interval is critical, actively changing the image display rule into a rule two through a rule one.
A method of an image analysis platform, comprising:
step 1: when field image information needs to be collected, a GPS module of the law enforcement recorder collects field longitude and latitude information and transmits the field longitude and latitude information to the controller, and a camera of the synchronous law enforcement recorder collects field images and transmits the field images to the controller;
step 2: the controller combines the ID number of the law enforcement recorder, the information of the traffic police department to which the corresponding traffic police belongs, the name information of the traffic police corresponding to the law enforcement recorder, the police number information of the traffic police corresponding to the law enforcement recorder, the site image, the longitude and latitude information of the site and the ambiguity of the site image to form the site image information; the ID number of a law enforcement recorder is the unique identification code provided to the law enforcement recorder.
And step 3: when the image information of the vehicle license plate on site needs to be collected, the camera of the law enforcement recorder collects the image of the vehicle license plate on site and transmits the image to the controller;
and 4, step 4: the license plate number recognition module recognizes corresponding license plate number information in the image of the site vehicle license plate, and the controller combines the ID number of the law enforcement recorder, the image of the site vehicle license plate and the license plate number information to form the image information of the site vehicle license plate;
and 5: the controller transmits field evidence information such as field image information or field vehicle license plate image information to the background monitoring device, and the field evidence information is displayed after image filtering processing, so that the purpose of monitoring is achieved;
the step 5 comprises the following steps:
the method I running on the controller comprises the following procedures:
step 5-1: receiving a notification instruction I transmitted by a background monitoring device;
here, the notification instruction is used to notify that the filtering time of the background monitoring apparatus is higher than an upper limit amount of the filtering time, where the filtering time is a time interval between a time point when the background monitoring apparatus achieves filtering of a previous image and a current time point. The filtering is image filtering, the former image is a field image or an image of a field vehicle license plate in field image information or image information of the field vehicle license plate which is recently acquired by the background monitoring device, and the image filtering is the image filtering of the field image or the image of the field vehicle license plate.
Just as, the controller receives the notification command from the background monitoring device, the upper limit amount of time consumption can be 0.6 seconds, or another amount, where there is no relevant constraint.
Step 5-2: obtaining time consumption for collecting on-site evidence information aiming at the notification instruction I;
here, the time consumed for collecting the on-site evidence information is a time interval between the current time and the previous time when the on-site image transmitted from the camera or the image of the license plate of the on-site vehicle was received.
Furthermore, the collected on-site evidence information is an on-site image transmitted by a camera or an image of a license plate of an on-site vehicle, which is obtained by the controller.
Step 5-3: under the condition that the consumed time for collecting the on-site evidence information is higher than the time interval critical amount and lower than the time interval critical amount II, a preset time interval I is used as a time interval, and a notification instruction II is transmitted to the background monitoring device at regular time;
here, the notification instruction is used to notify the camera of the image delivery blockage collected.
Just as, the preset first time interval can be 3 seconds, the first time interval threshold amount can be 0.6 seconds, the second time interval threshold amount can be 42 seconds, and other amounts, and there is no relevant restriction here.
And under the condition that the time consumption of a live image transmitted by the camera or an image of a live vehicle license plate is higher than 0.6 second and lower than 42 seconds, the controller uses 3 seconds as a time interval to regularly transmit a notification instruction of image transmission blockage of the camera to the background monitoring device.
Step 5-4: and under the condition that the consumed time for collecting the on-site evidence information is higher than the time interval critical amount two, transmitting a third notification instruction to the background monitoring device.
Here, the notification instruction is used to notify that image transfer of the camera is suspended.
If the controller does not receive the live image or the image of the license plate of the live vehicle transmitted by the camera for more than 42 seconds, or obtains the state of dormancy of the controller transmitted by the camera, the controller determines that the controller is suspended, at this time, a notification instruction of the suspension of the image transmission of the camera is transmitted to the background monitoring device, and a monitor beside the background monitoring device determines that the wireless network between the background monitoring device and the controller is not obstructed, and the controller does not execute the operation of correspondingly changing the existing image transmission method.
Further, under the condition that the time consumption for collecting the on-site evidence information is lower than one time interval critical amount, transmitting a blocking monitoring specification during transmission to the background monitoring device;
here, the during-transmission congestion monitoring specification includes: when the filtering time consumption is higher than the upper limit amount of the time consumption and the image display rule is regular one, obtaining a locking time interval amount in a preset time interval two, and confirming the image information transmission blockage of the background monitoring device when the locking time interval amount is high and the time interval critical amount is third; the locking time distance amount is as follows: within the preset time interval two, the time interval quantity is positioned in the locking condition;
the congestion monitoring specification during transmission specifically includes: initially constructing a database on the controller, the name of an information item in the database being P1, registering a lock start time point; the name of another information item in the information base is P2, and information of locking time distance is registered;
the locking condition has an initial point and a final point, the initial point of locking is a condition that the filtering time just exceeds the upper limit of the time consumption, the initial point of locking is a point of time that the filtering time just exceeds the upper limit of the time consumption, the final point of locking is a condition formed when the filtering is finished under the locking condition, the final point of locking is a point of time when the filtering is finished under the locking condition, and then when the locking condition of one round is finished, the initial point of locking under the locking condition of the round and the corresponding locking time interval under the locking condition of the round are respectively added into an information item P1 and an information item P2 of the information base; just as the critical amount of time distance can be 25 seconds, but also another amount, where there is no relevant constraint.
The operation mode of the locking time interval is as follows: if the locking time interval used as the blocking period is not higher than the threshold time interval by three and is in the locking condition, the actual time interval in the locking condition is increased by 1 second every 1 second to be used as the locking time interval, and the locking time interval is the total measurement of the actual time interval in the locking condition in the preset time interval by two.
Further, the during-transmission congestion monitoring specification further includes:
when the locking time interval is high and the outdated time interval is critical, increasing the blocking frequency by 1;
determining whether the blocking frequency is a high pass frequency threshold number;
and when the blocking frequency is higher than the over-frequency critical number, confirming that the image information transmission of the background monitoring device is blocked frequently.
Just as, the time interval critical amount three can be 25 seconds, the time interval critical amount two can be 75 seconds, and the frequency critical number can be three; if the locking time interval is over 25 seconds in 75 seconds, increasing the blocking frequency by 1; and when the blocking frequency is higher than three times, confirming that the image information transmission of the background monitoring device is blocked frequently.
The step 5 further comprises:
a second method running on the background monitoring device, the second method comprising the following procedures:
step 5-a: obtaining the filtration time;
here, the filtering elapsed time is a time interval between a time point when the background monitoring apparatus achieves filtering of a previous image and a current time point.
Step 5-b: when the filtering consumed time is higher than the upper limit amount of consumed time, transmitting a notification instruction I to the controller and confirming that the filter is in the locking condition;
for example, using the filtering elapsed time as a reference, when the filtering elapsed time is higher than the upper limit amount of the elapsed time by 0.6 seconds, it is confirmed that the lock condition is present, and a notification command one is sent to the controller.
And obtaining the time consumption for collecting the on-site evidence information according to the notification instruction; the background monitoring device executes the following procedures:
step 5-c: receiving a notification instruction II or a notification instruction III transmitted by the controller;
here, the notification instruction is used for notifying the camera of image transfer blocking, and the notification instruction is used for notifying the camera of image transfer suspension.
And 5-d: displaying the notification instruction II or the notification instruction III;
furthermore, if the background monitoring apparatus receives a notification instruction of image transfer jam and temporarily does not receive a notification instruction of image transfer stop, the background monitoring apparatus changes to the lock state at a preset time interval or ignores the total lock time interval after the background monitoring apparatus changes to the lock state.
The monitoring person is prevented from changing the wireless network by himself due to the influence of the camera; the changing function changes the image display rule from rule one to rule two.
Step 5-e: receiving a congestion monitoring specification during transmission communicated by the controller;
accordingly, the background monitoring device receives the blocking monitoring specification transmitted by the controller during the transmission.
Step 5-f: obtaining a locking time interval quantity in a preset time interval two under the condition that the image display rule is a rule one;
here, the lock timing amount is: and within the preset time interval two, the time interval is positioned in the locking state.
Step 5-g: and when the locking time interval is high and the outdated time interval is critical, confirming the image information transmission blockage of the background monitoring device.
Further, after confirming that the image information transmission of the background monitoring device is blocked, the second method further includes the following steps:
step 5-g-1: displaying an announcement instruction;
here, the notification instruction is to notify that the image display rule is changed to rule two via rule one; the resolution of the image displayed by rule one is higher than the resolution of the image displayed by rule two.
Further, as in the present invention, the resolution of the image displayed by rule one is higher than that of the image displayed by rule two, that is, when the image resolution is the resolution displayed by rule two, the wireless network condition is under the condition of poor wireless network performance; when the image resolution is the resolution displayed by rule one, the wireless network condition is under a condition that the wireless network performance is good.
Step 5-g-2: and aiming at the mode change operation executed by the monitor, changing the image display rule into a rule two through a rule one.
As such, the image resolution is reduced from 720 x 576 to 480 x 320 in accordance with the mode change operation performed by the monitor.
Further, after the image display rule is changed from rule one to rule two, the method two further includes the following steps:
step 5-g-3: obtaining a locking time period;
here, the lock period is a time interval between the time point when the previous confirmation is in the lock condition and the current time point.
Step 5-g-4: if the locking time interval is higher than a preset time interval three, changing the rule two into the rule one, and increasing the blocking frequency by 1;
furthermore, the image display rule of the background monitoring device becomes rule two, the preset time interval three can be 300 seconds, if the locking condition is not confirmed again after 300 seconds, the background monitoring device is determined to be only temporary wireless network blocking, the resolution 480 x 320 used for image display of the background monitoring device is cancelled, the resolution 720 x 576 is used for image display of the background monitoring device, the background monitoring device is restored to rule one, and the blocking frequency is increased by 1.
Step 5-g-5: determining whether the blocking frequency is a high pass frequency threshold number; and when the blocking frequency is higher than the over-frequency critical number, confirming that the image information transmission of the background monitoring device is blocked frequently.
Further, after it is confirmed that the image information of the background monitoring apparatus is frequently blocked, the second method further includes:
and when the locking time interval is high and the time interval is critical, actively changing the image display rule into a rule two through a rule one.
Furthermore, after the image information transmission blocking frequency of the background monitoring device is higher than the threshold number of the over-frequency, when the locking time span is higher than the over-time span threshold amount by three, the image information transmission blocking is determined again, and at this time, the wireless network performance is determined to be poor, the rule is directly changed into the rule two, and the repeated notification is not continuously executed on the background monitoring device to change the image display rule.
Firstly, obtaining filtering time consumption, confirming the locking condition and transmitting a notification instruction I to the controller when the filtering time consumption is higher than an upper limit amount of the filtering time consumption, and obtaining a locking time interval quantity in a preset time interval II by receiving a transmission period blocking monitoring specification transmitted by the controller under the condition that an image display rule is a rule I, and confirming whether the locking time interval quantity is higher than a time interval critical quantity III, if so, confirming the image information transmission blocking of the background monitoring device; therefore, in the face of the complexity and the unconfirmability in the process of transmitting the field evidence information such as the image information of the license plate of the field vehicle or the field image information to the background monitoring device by the field recorder, the method can achieve more accurate wireless network blocking monitoring.
The present application has been described above in an illustrative manner by way of embodiments, and it will be understood by those skilled in the art that the present disclosure is not limited to the embodiments described above, and various changes, modifications and substitutions may be made without departing from the scope of the present application.

Claims (10)

1. An image analysis platform, comprising:
the system comprises a law enforcement recorder configured to correspond to the traffic police and a background monitoring device connected with the law enforcement recorder through a wireless network;
the law enforcement recorder comprises a shell, a controller, a wireless communication module and a GPS module are arranged in the shell, a camera is arranged on the outer wall of the shell, and the GPS module, the wireless communication module and the camera are all connected with the controller; a license plate number identification module and a fuzzy degree calculation unit run on the controller;
the GPS module is used for collecting field longitude and latitude information and transmitting the field longitude and latitude information to the controller when field image information needs to be collected;
the camera is used for collecting the field image and transmitting the field image to the controller when the field image information needs to be collected; the system is used for collecting the images of the vehicle license plates on site and transmitting the images to the controller when the image information of the vehicle license plates on site needs to be collected;
the license plate number recognition module is used for recognizing corresponding license plate number information in an image of a vehicle license plate on site;
the ambiguity calculation unit is used for calculating the ambiguity of the live image;
the controller is also stored with ID number of the law enforcement recorder, information of the traffic police department to which the traffic police belongs corresponding to the law enforcement recorder, name information of the traffic police corresponding to the law enforcement recorder and the police number information of the traffic police corresponding to the law enforcement recorder;
the modules operating in the controller further comprise:
the system comprises a receiving module, an obtaining module, a notification module I and a notification module II;
the receiving module is used for receiving a first notification instruction transmitted by the background monitoring device, wherein the first notification instruction is used for notifying that the filtering time consumption of the background monitoring device is higher than the upper limit amount of the time consumption, and the filtering time consumption is the time interval between the time point when the background monitoring device achieves filtering of a previous image and the current time point;
the obtaining module is used for obtaining time consumption for collecting the on-site evidence information aiming at the first notification instruction, wherein the time consumption for collecting the on-site evidence information is the time interval between the current time point and the time point of the last time of receiving the on-site image transmitted by the camera or the image of the on-site vehicle license plate;
the notification module I is used for transmitting a notification instruction II to the background monitoring device in a timed manner by using a preset time interval I as a time interval under the condition that the consumed time for collecting the on-site evidence information is higher than the time interval critical amount and is lower than the time interval critical amount II; the notification instruction is used for notifying the camera of image transmission blockage collected;
and the notification module II is used for transmitting a notification instruction III to the background monitoring device under the condition that the consumed time for collecting the on-site evidence information is higher than the time interval critical amount II, and the notification instruction III is used for notifying the image transmission stop of the camera.
2. The image analysis platform of claim 1, wherein a during-transmission blocking monitoring specification is passed towards the background monitoring device on a condition that the elapsed time to collect the in-field evidence information is less than one time distance threshold amount;
the during-transmission congestion monitoring specification comprises: when the filtering time consumption is higher than the upper limit amount of the time consumption and the image display rule is regular one, obtaining a locking time interval amount in a preset time interval two, and confirming the image information transmission blockage of the background monitoring device when the locking time interval amount is high and the time interval critical amount is third; the locking time distance amount is as follows: and within the preset time interval two, the time interval is positioned in the locking state.
3. The image analysis platform of claim 2, wherein the during-transmission congestion monitoring specification further comprises:
when the locking time interval is high and the outdated time interval is critical, increasing the blocking frequency by 1;
determining whether the blocking frequency is a high pass frequency threshold number;
and when the blocking frequency is higher than the over-frequency critical number, confirming that the image information transmission of the background monitoring device is blocked frequently.
4. The image analysis platform of claim 2, wherein the modules running in the background monitoring device further comprise: the system comprises an index obtaining module, a transmission module, a receiving specification module, a disposal module and a confirmation module;
the index obtaining module is used for obtaining filtering time consumption, wherein the filtering time consumption is a time interval between a time point when the background monitoring device achieves filtering of a previous image and a current time point;
a transmission module, which is used for transmitting a notification instruction I and confirming that the filter time is in the locking condition to the controller when the filter time is higher than the upper limit of the filter time;
a receiving specification module for receiving a congestion monitoring specification during transmission transmitted by the controller;
the processing module is used for obtaining a locking time interval quantity in a preset time interval two under the condition that the image display rule is a rule one, wherein the locking time interval quantity is as follows: within the preset time interval two, the time interval quantity is positioned in the locking condition;
and the confirming module is used for confirming the image information transmission blockage of the background monitoring device when the locking time interval is high and the outdated time interval is critical.
5. The image analysis platform of claim 4, wherein a second notification instruction or a third notification instruction is received from the controller; the notification instruction is used for notifying the camera of image transmission blockage, and the notification instruction is used for notifying the camera of image transmission stoppage; displaying the notification instruction II or the notification instruction III;
after confirming that the image information of the background monitoring device is blocked, the method further comprises the following procedures: displaying a notification instruction, wherein the notification instruction is used for notifying that the image display rule is changed into a rule two through a rule one; the resolution of the image displayed by the rule one is higher than that of the image displayed by the rule two; aiming at the mode change operation executed by a monitor, changing the image display rule into a rule two through a rule one;
after the image display rule is changed from rule one to rule two, the method further comprises the following procedures: obtaining a locking time interval, wherein the locking time interval is a time interval between a time point of a previous confirmation in a locking condition and a current time point; if the locking time interval is higher than a preset time interval three, changing the rule two into the rule one, and increasing the blocking frequency by 1; determining whether the blocking frequency is a high pass frequency threshold number; when the blocking frequency is higher than the over-frequency critical number, confirming that the image information transmission of the background monitoring device is frequently blocked;
after confirming that the image information transmission of the background monitoring device is frequently blocked, the method further comprises the following steps:
and when the locking time interval is high and the time interval is critical, actively changing the image display rule into a rule two through a rule one.
6. A method of an image analysis platform, comprising:
step 1: when field image information needs to be collected, a GPS module of the law enforcement recorder collects field longitude and latitude information and transmits the field longitude and latitude information to the controller, and a camera of the synchronous law enforcement recorder collects field images and transmits the field images to the controller;
step 2: the controller combines the ID number of the law enforcement recorder, the information of the traffic police department to which the corresponding traffic police belongs, the name information of the traffic police corresponding to the law enforcement recorder, the police number information of the traffic police corresponding to the law enforcement recorder, the site image, the longitude and latitude information of the site and the ambiguity of the site image to form the site image information;
and step 3: when the image information of the vehicle license plate on site needs to be collected, the camera of the law enforcement recorder collects the image of the vehicle license plate on site and transmits the image to the controller;
and 4, step 4: the license plate number recognition module recognizes corresponding license plate number information in the image of the site vehicle license plate, and the controller combines the ID number of the law enforcement recorder, the image of the site vehicle license plate and the license plate number information to form the image information of the site vehicle license plate;
and 5: the controller transmits field evidence information such as field image information or image information of a field vehicle license plate to the background monitoring device, and the field evidence information is displayed after being subjected to image filtering processing;
the step 5 comprises the following steps:
the method I running on the controller comprises the following procedures:
step 5-1: receiving a first notification instruction transmitted by a background monitoring device, wherein the first notification instruction is used for notifying that the filtering time consumption of the background monitoring device is higher than the upper limit amount of the time consumption, and the filtering time consumption is the time interval between the time point when the background monitoring device achieves filtering of a previous image and the current time point;
step 5-2: acquiring time consumption for collecting the on-site evidence information aiming at the first notification instruction, wherein the time consumption for collecting the on-site evidence information is a time interval between a current time point and a time point of last time of collecting an on-site image or an image of an on-site vehicle license plate transmitted by a camera;
step 5-3: under the condition that the consumed time for collecting the on-site evidence information is higher than the time interval critical amount and lower than the time interval critical amount II, a preset time interval I is used as a time interval, and a notification instruction II is transmitted to the background monitoring device at regular time; the notification instruction is used for notifying the camera of image transmission blockage collected;
step 5-4: and under the condition that the consumed time for collecting the on-site evidence information is higher than the time interval critical amount two, transmitting a third notification instruction to the background monitoring device, wherein the third notification instruction is used for notifying the camera that the image transmission is stopped.
7. The method of the image analysis platform according to claim 6, wherein in a condition that the time consumed for collecting the on-site evidence information is lower than the time distance critical amount by one, a during-transmission blocking monitoring specification is transferred to the background monitoring apparatus;
the during-transmission congestion monitoring specification comprises: when the filtering time consumption is higher than the upper limit amount of the time consumption and the image display rule is regular one, obtaining a locking time interval amount in a preset time interval two, and confirming the image information transmission blockage of the background monitoring device when the locking time interval amount is high and the time interval critical amount is third; the locking time distance amount is as follows: within the preset time interval two, the time interval quantity is positioned in the locking condition;
the congestion monitoring specification during transmission specifically includes: initially constructing a database on the controller, the name of an information item in the database being P1, registering a lock start time point; the name of another information item in the information base is P2, and information of locking time distance is registered;
the locking condition has an initial point and a final point, the initial point of locking is a condition that the filtering time just exceeds the upper limit of the time consumption, the initial point of locking is a point of time that the filtering time just exceeds the upper limit of the time consumption, the final point of locking is a condition formed when the filtering is finished under the locking condition, the final point of locking is a point of time when the filtering is finished under the locking condition, and then when the locking condition of one round is finished, the initial point of locking under the locking condition of the round and the corresponding locking time interval under the locking condition of the round are respectively added into an information item P1 and an information item P2 of the information base;
the operation mode of the locking time interval is as follows: if the locking time interval used as the blocking period is not higher than the threshold time interval by three and is in the locking condition, the actual time interval in the locking condition is increased by 1 second every 1 second to be used as the locking time interval, and the locking time interval is the total measurement of the actual time interval in the locking condition in the preset time interval by two.
8. The method of an image analysis platform of claim 7, wherein blocking the monitoring specification during the transmitting further comprises:
when the locking time interval is high and the outdated time interval is critical, increasing the blocking frequency by 1;
determining whether the blocking frequency is a high pass frequency threshold number;
and when the blocking frequency is higher than the over-frequency critical number, confirming that the image information transmission of the background monitoring device is blocked frequently.
9. The method of the image analysis platform of claim 8, wherein the step 5 further comprises:
a second method running on the background monitoring device, the second method comprising the following procedures:
step 5-a: obtaining the filtration time;
step 5-b: when the filtering consumed time is higher than the upper limit amount of consumed time, transmitting a notification instruction I to the controller and confirming that the filter is in the locking condition;
step 5-c: receiving a notification instruction II or a notification instruction III transmitted by the controller;
and 5-d: displaying the notification instruction II or the notification instruction III;
step 5-e: receiving a congestion monitoring specification during transmission communicated by the controller;
step 5-f: obtaining a locking time interval quantity in a preset time interval two under the condition that the image display rule is a rule one;
step 5-g: when the locking time interval is high and the outdated time interval is critical, confirming the image information transmission blockage of the background monitoring device;
after confirming that the image information transmission of the background monitoring device is blocked, the second method further comprises the following procedures:
step 5-g-1: displaying an announcement instruction;
step 5-g-2: aiming at the mode change operation executed by a monitor, changing the image display rule into a rule two through a rule one;
after the image display rule is changed from the first rule to the second rule, the second method further comprises the following procedures:
step 5-g-3: obtaining a locking time period;
step 5-g-4: if the locking time interval is higher than a preset time interval three, changing the rule two into the rule one, and increasing the blocking frequency by 1;
step 5-g-5: determining whether the blocking frequency is a high pass frequency threshold number; and when the blocking frequency is higher than the over-frequency critical number, confirming that the image information transmission of the background monitoring device is blocked frequently.
10. The method of the image analysis platform according to claim 9, wherein after confirming that the image information transfer of the background monitoring device is frequently blocked, the second method further comprises:
and when the locking time interval is high and the time interval is critical, actively changing the image display rule into a rule two through a rule one.
CN202210000663.8A 2022-01-04 2022-01-04 Image analysis platform and method Active CN114022755B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210000663.8A CN114022755B (en) 2022-01-04 2022-01-04 Image analysis platform and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210000663.8A CN114022755B (en) 2022-01-04 2022-01-04 Image analysis platform and method

Publications (2)

Publication Number Publication Date
CN114022755A CN114022755A (en) 2022-02-08
CN114022755B true CN114022755B (en) 2022-04-05

Family

ID=80069422

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210000663.8A Active CN114022755B (en) 2022-01-04 2022-01-04 Image analysis platform and method

Country Status (1)

Country Link
CN (1) CN114022755B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114356293B (en) * 2022-03-21 2022-05-31 舟谱数据技术南京有限公司 Front-end Select component suspension interaction system and method
CN114809153A (en) * 2022-05-13 2022-07-29 扬州市检验检测中心 Temperature point detection and adjustment system and detection and adjustment method for suction dredge

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002367094A (en) * 2001-06-07 2002-12-20 Toshiba Electronic Systems Co Ltd System for monitoring parking lot
CN105025240A (en) * 2015-07-15 2015-11-04 深圳警翼数码科技有限公司 Law enforcement recorder and control method thereof
CN112185121A (en) * 2020-10-10 2021-01-05 南京拉普拉斯网络信息科技有限责任公司 Traffic accurate law enforcement method and equipment based on 5G
CN113301284A (en) * 2021-07-28 2021-08-24 南京名都智能科技有限公司 Law enforcement recorder system and process

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002367094A (en) * 2001-06-07 2002-12-20 Toshiba Electronic Systems Co Ltd System for monitoring parking lot
CN105025240A (en) * 2015-07-15 2015-11-04 深圳警翼数码科技有限公司 Law enforcement recorder and control method thereof
CN112185121A (en) * 2020-10-10 2021-01-05 南京拉普拉斯网络信息科技有限责任公司 Traffic accurate law enforcement method and equipment based on 5G
CN113301284A (en) * 2021-07-28 2021-08-24 南京名都智能科技有限公司 Law enforcement recorder system and process

Also Published As

Publication number Publication date
CN114022755A (en) 2022-02-08

Similar Documents

Publication Publication Date Title
CN114022755B (en) Image analysis platform and method
EP1470033B1 (en) Vehicle inspection enforcement system and method offering multiple data transmissions on the road
CN108898879A (en) parking data detection system and method
KR20030045085A (en) Monitoring system for vehicle automatic accounting device
EP1975884A1 (en) Mobile object charging system and mobile object charging method by mobile object charging system
US5586130A (en) Method and apparatus for detecting fault conditions in a vehicle data recording device to detect tampering or unauthorized access
CN108877285A (en) The parking data detection system and method for multipoint positioning
CN109360444A (en) A kind of method of video intelligent identification and management parking stall vehicle
CN113129639A (en) Parking position information management method and device, computer storage medium and vehicle central control equipment
CN111645730B (en) Locomotive operation efficiency analysis system
US20210339755A1 (en) Driving state monitoring device, driving state monitoring method, and driving state monitoring system
CN108694854A (en) The public parking position monitoring system of cell
CN115457689B (en) High-speed site detection auxiliary system and method thereof
CN111198875A (en) Vehicle positioning data screening method and device, vehicle-mounted equipment and storage medium
CN109978946A (en) A kind of vehicle location analysis system Internet-based
DE202018006823U1 (en) tachograph arrangement
CN111476915B (en) ETC transaction system and method based on Beidou positioning method and device
CN112785745A (en) Night patrol management method and system
CN110060483A (en) A kind of method, apparatus and application acquiring parking lot information of vehicles
CN113223299B (en) Geomagnetic detection equipment and geomagnetic detection system capable of constructing traffic structured database
CN112489435A (en) Red light running violation monitoring method and roadside device, vehicle-mounted device and vehicle thereof
CN114038229B (en) Roadside parking processing method and equipment
CN116312040A (en) Parking space management method, device and medium based on geomagnetic equipment
US11393222B2 (en) Vehicle management system, vehicle-mounted device, vehicle management method, and program
CN114851962A (en) Drunk driving management system based on remote monitoring data

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
GR01 Patent grant
GR01 Patent grant