CN110958428A - Monitoring method, system, equipment and medium based on multi-stage intelligent gateway equipment - Google Patents
Monitoring method, system, equipment and medium based on multi-stage intelligent gateway equipment Download PDFInfo
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- CN110958428A CN110958428A CN201911119607.0A CN201911119607A CN110958428A CN 110958428 A CN110958428 A CN 110958428A CN 201911119607 A CN201911119607 A CN 201911119607A CN 110958428 A CN110958428 A CN 110958428A
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- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract
The invention provides a monitoring method, a system, equipment and a medium based on multi-stage intelligent gateway equipment, wherein the method comprises the following steps: presetting a plurality of intelligent gateways of different levels; transmitting the characteristics of the monitoring target sample step by step through the multi-level intelligent gateway; acquiring monitoring image information through an intelligent gateway connected with one or more image acquisition devices; processing the monitoring image information to obtain an image processing result; transmitting the image processing result to the intelligent gateway of the upper level; by means of the intelligent gateway, feature data, namely the feature of the monitoring target sample, sinks to the lowest level step by step, basic level personnel using the intelligent gateway of the lowest level do not need to frequently carry out data coordination in the actual processing process, the problem that the approval process of a coordination mechanism is complex is avoided, data sharing and timely case handling are achieved, and the efficiency of handling affairs by basic level policemen or basic level users is improved.
Description
Technical Field
The invention relates to the technical field of security protection, in particular to a monitoring method, a monitoring system, monitoring equipment and a monitoring medium based on multi-stage intelligent gateway equipment.
Background
The public security business focuses on the construction of a social public security prevention and control system scene, is positioned in the management of information data about people in the public security business, and particularly controls key people. However, the population base in the country is large, the data management period of each province is long, the data aggregation and updating are not timely, the management of key people across provinces and cities is difficult, the management pressure of inspection stations and one-site three-station related to external population is large, the hidden danger of large-scale group events is great, and the problems that the data channel is required to be solved by establishing data uplink and issuing through special equipment and the coordination of basic-level public security case handling data is difficult are urgently needed.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, the present invention provides a monitoring method, system, device and medium based on a multi-level intelligent gateway device, which is used to solve the problem of difficult coordination of data in case handling in the basic level of public security.
In order to achieve the above and other related objects, the present invention provides a monitoring method based on a multi-stage intelligent gateway device, including:
presetting a plurality of intelligent gateways of different levels;
transmitting the characteristics of the monitoring target sample step by step through the multi-level intelligent gateway;
acquiring monitoring image information through an intelligent gateway connected with one or more image acquisition devices;
processing the monitoring image information to obtain an image processing result;
and transmitting the image processing result to the intelligent gateway at the upper level.
Optionally, the monitoring method based on the multi-stage intelligent gateway device includes:
the characteristics of the monitoring target samples transmitted step by step are the same;
the step-by-step transmission refers to step-by-step transmission from the intelligent gateway of the upper layer to the intelligent gateway of the lower layer.
Optionally, the monitoring method based on the multi-stage intelligent gateway device includes:
and the characteristics of the monitoring target samples transmitted step by step are different.
Optionally, the monitoring method based on the multi-stage intelligent gateway device includes:
the intelligent gateway at the highest level transmits first-class monitoring target sample characteristics to the intelligent gateways at the middle levels according to the first area identification information;
and the intelligent gateway of the middle level transmits a second type of monitoring target sample characteristics to the intelligent gateway of the lowest level according to second region identification information.
Optionally, the monitoring method based on the multi-stage intelligent gateway device includes:
the intelligent gateway at the highest level transmits first-class monitoring target sample characteristics to the intelligent gateways at the middle levels according to the first area identification information;
and the intelligent gateway of the middle level transmits the third type of monitoring target sample characteristics to the intelligent gateway of the lowest level according to the monitoring scene identification information.
Optionally, in the monitoring method based on the multi-stage intelligent gateway device, the monitoring scenario identification information includes at least one of: checkpoint identification information, airport identification information, high-speed rail station identification information, passenger station identification information, subway identification information, community identification information, campus identification information, and hospital identification information.
Optionally, the monitoring method based on the multi-stage intelligent gateway device includes:
and the intelligent gateway device at the lowest level is connected with the one or more image acquisition devices.
Optionally, the monitoring method based on the multi-stage intelligent gateway device includes:
acquiring the monitoring image information from one or more image acquisition devices through an intelligent gateway connected with the one or more image acquisition devices;
and extracting the characteristics of the monitored object of the monitoring image information, comparing the characteristics with the characteristics of the monitoring target sample, and transmitting a comparison result and/or the monitoring image information to the intelligent gateway of the upper level.
Optionally, in the monitoring method based on the multi-stage intelligent gateway device, the monitored target sample characteristics include at least one of: monitoring the characteristics of the target human face sample and the characteristics of the target human body sample.
Optionally, in the monitoring method based on the multi-stage intelligent gateway device, the image obtaining device includes: camera, face identification box, snapshot machine.
Optionally, the monitoring method based on the multi-stage intelligent gateway device further includes: and when the intelligent gateway of the next level has new monitoring target sample characteristics, transmitting to the intelligent gateway of the previous level, and updating the monitoring target sample characteristics stored by the intelligent gateway of the previous level.
The invention also provides a monitoring system based on the multi-stage intelligent gateway equipment, which comprises:
the multi-level intelligent gateway is used for transmitting the characteristics of the monitoring target sample step by step;
the intelligent gateway is connected with one or more image acquisition devices and is used for acquiring monitoring image information, processing the monitoring image information to obtain an image processing result and transmitting the image processing result to the intelligent gateway at the upper level.
Optionally, in the monitoring system based on the multi-stage intelligent gateway device, the characteristics of the monitoring target samples transmitted stage by stage are the same; the step-by-step transmission refers to step-by-step transmission from the intelligent gateway of the upper layer to the intelligent gateway of the lower layer.
Optionally, the characteristics of the monitoring target samples transmitted step by step are different.
Optionally, the multi-level intelligent gateways include a highest-level intelligent gateway, an intermediate-level intelligent gateway, and a lowest-level intelligent gateway;
the intelligent gateway of the highest level transmits first type monitoring target sample characteristics to the intelligent gateway of the middle level according to the first area identification information;
and the intelligent gateway of the middle level transmits a second type of monitoring target sample characteristics to the intelligent gateway of the lowest level according to second region identification information.
Optionally, the multi-level intelligent gateways include a highest-level intelligent gateway, an intermediate-level intelligent gateway, and a lowest-level intelligent gateway;
the intelligent gateway of the highest level transmits first type monitoring target sample characteristics to the intelligent gateway of the middle level according to the first area identification information;
and the intelligent gateway of the middle level transmits a third type of monitoring target sample characteristics to the intelligent gateway of the lowest level according to the monitoring scene identification information.
Optionally, the monitoring scenario identification information includes at least one of: checkpoint identification information, airport identification information, high-speed rail station identification information, passenger station identification information, subway identification information, community identification information, campus identification information, and hospital identification information.
Optionally, the intelligent gateway device at the lowest level is connected to the one or more image capturing devices.
Optionally, the intelligent gateway is connected to one or more image capturing devices, and is configured to obtain the monitoring image information from the one or more image capturing devices; and extracting the characteristics of the monitored object of the monitoring image information, comparing the characteristics with the characteristics of the monitoring target sample, and transmitting a comparison result and/or the monitoring image information to the intelligent gateway of the upper level.
Optionally, in the monitoring system based on the multi-level intelligent gateway device, when the intelligent gateway of the next level has a new monitoring target sample characteristic, the new monitoring target sample characteristic is transmitted to the intelligent gateway of the previous level, and the intelligent gateway of the previous level updates the monitoring target sample characteristic stored in the intelligent gateway of the previous level.
The present invention also provides an apparatus comprising: one or more processors; and
one or more machine-readable media having instructions stored thereon that, when executed by the one or more processors, cause the apparatus to perform one or more of the methods described above.
The present invention also provides one or more machine-readable media having instructions stored thereon, which when executed by one or more processors, cause an apparatus to perform one or more of the methods described above.
As described above, the monitoring method, system, device and medium based on multi-level intelligent gateway devices provided by the present invention pre-set a plurality of intelligent gateways of different levels; transmitting the characteristics of the monitoring target sample step by step through the multi-level intelligent gateway; acquiring monitoring image information through an intelligent gateway connected with one or more image acquisition devices; processing the monitoring image information to obtain an image processing result; transmitting the image processing result to the intelligent gateway of the upper level; by means of the intelligent gateway, feature data, namely the feature of the monitoring target sample, sinks to the lowest level step by step, basic level personnel using the intelligent gateway of the lowest level do not need to frequently carry out data coordination in the actual processing process, the problem that the approval process of a coordination mechanism is complex is avoided, data sharing and timely case handling are achieved, and the efficiency of handling affairs by basic level policemen or basic level users is improved.
Drawings
Fig. 1 is a flowchart of a monitoring method based on a multi-stage intelligent gateway device according to an embodiment of the present invention.
Fig. 2 is a structural connection diagram of a system based on a multi-level intelligent gateway device according to an embodiment of the present invention.
Fig. 3 is a structural connection diagram of a monitoring system based on a multi-stage intelligent gateway device according to another embodiment of the present invention.
Fig. 4 is a schematic diagram of a hardware structure of a terminal device according to an embodiment.
Fig. 5 is a schematic diagram of a hardware structure of a terminal device according to another embodiment.
Description of the element reference numerals
The system comprises a cloud server 10, a monitoring system 20 based on multi-level intelligent gateway equipment, an intelligent gateway 21 of the highest level, an intelligent gateway 22 of the middle level, an intelligent gateway 23 of the lowest level and image acquisition equipment 30;
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments with reference to fig. 1-5 are only schematic representations of the basic idea of the present invention, and the components related to the present invention are not drawn according to the number, shape and size of the components in actual implementation, and the type, number and ratio of the components in actual implementation may be changed arbitrarily, and the layout of the components may be more complicated.
Referring to fig. 1-3, to achieve the above and other related objects, the present invention provides a monitoring method based on a multi-level intelligent gateway device, including:
s10: presetting a plurality of intelligent gateways of different levels;
s20: transmitting the characteristics of the monitoring target sample step by step through the multi-level intelligent gateway;
s30: acquiring monitoring image information through an intelligent gateway connected with one or more image acquisition devices 30;
s40: processing the monitoring image information to obtain an image processing result;
s50: and transmitting the image processing result to the intelligent gateway at the upper level.
In some embodiments, the monitoring method based on the multi-stage intelligent gateway equipment comprises the steps that the characteristics of the monitoring target samples transmitted stage by stage are the same; the step-by-step transmission refers to step-by-step transmission from the intelligent gateway of the upper layer to the intelligent gateway of the lower layer.
Of course, the step-by-step transmission may also be step-by-step transmission from the intelligent gateway of the next level to the intelligent gateway of the previous level, in which case, in the case that the new monitoring target sample feature exists in the next level, the transmission is performed to the intelligent gateway of the previous level, and the intelligent gateway of the previous level updates the monitoring target sample feature stored therein.
It is understood that the intelligent gateway 21 at the highest level acquires the characteristics of the monitoring target sample and then transmits the characteristics to the intelligent gateways at all levels, including the intelligent gateway connected with one or more image acquisition devices 30. The intelligent gateway connected with one or more image acquisition devices 30 acquires monitoring image information from the image acquisition devices 30, and processes the monitoring image information, such as similarity calculation and threshold judgment on the result of the similarity calculation, to obtain an image processing result; and transmitting the image processing result to the intelligent gateway at the upper level. The intelligent gateway 21 at the highest level may include a storage unit for storing the characteristics of the monitoring target samples, so that the intelligent gateway 21 at the highest level may continuously update the contents of the characteristics of the monitoring target samples, and the result obtained by the intelligent gateway 23 at the lowest level is more time-efficient and accurate.
In some embodiments, the monitoring method based on the multi-stage intelligent gateway device includes:
and the characteristics of the monitoring target samples transmitted step by step are different.
In some embodiments, the monitoring method based on the multi-stage intelligent gateway device includes:
the intelligent gateway 21 at the highest level transmits the first type of monitoring target sample characteristics to the intelligent gateway 22 at the middle level according to the first area identification information;
and the intelligent gateway 22 of the middle hierarchy transmits a second type of monitoring target sample characteristic to the intelligent gateway 23 of the lowest hierarchy according to the second region identification information.
It is understood that the intelligent gateways in multiple levels are, for example, three levels: the monitoring system comprises a highest-level intelligent gateway 21, an intermediate-level intelligent gateway 22 and a lowest-level intelligent gateway 23, wherein the characteristics of monitoring target samples transmitted to the intermediate-level intelligent gateway 22 by the highest-level intelligent gateway 21 correspond to the area (such as Beijing city) where the intermediate-level intelligent gateway 22 is located, and first area identification information is Beijing city; the monitoring target sample characteristics transmitted from the middle-level smart gateway 22 to the lowest-level smart gateway 23 correspond to the area (e.g., the eastern city area) in which the lowest-level smart gateway 23 is located, and here, the second area identification information is the eastern city area.
It is understood that for Beijing City: the monitoring target sample characteristics transmitted from the highest-level intelligent gateway 21 to the middle-level intelligent gateway 22 are "severe psychosis personnel monitoring characteristic library", "campus violence terrorist personnel monitoring characteristic library", "terrorist personnel, general criminals, and visiting personnel monitoring characteristic library" in beijing; for the eastern city area: the monitoring target sample characteristics transmitted from the intermediate-level intelligent gateway 22 to the lowest-level intelligent gateway 23 are "severe mental patient monitoring characteristic library", "campus terrorist personnel monitoring characteristic library", "terrorist personnel, general criminals, and visiting personnel monitoring characteristic library" in the eastern city.
Referring to fig. 3, it can be understood that the intelligent gateway 21 at the highest level may obtain the monitoring target sample characteristics from the database in the cloud server 10.
In some embodiments, the monitoring method based on the multi-stage intelligent gateway device includes:
the intelligent gateway 21 at the highest level transmits the first type of monitoring target sample characteristics to the intelligent gateway 22 at the middle level according to the first area identification information;
and the intermediate-level intelligent gateway 22 transmits the third-class monitoring target sample characteristics to the lowest-level intelligent gateway 23 according to the monitoring scene identification information.
It is understood that the intelligent gateways in multiple levels are, for example, three levels: the monitoring system comprises a highest-level intelligent gateway 21, an intermediate-level intelligent gateway 22 and a lowest-level intelligent gateway 23, wherein monitoring target sample characteristics transmitted to the intermediate-level intelligent gateway 22 by the highest-level intelligent gateway 21 correspond to an area where the intermediate-level intelligent gateway 22 is located, namely first-class monitoring target sample characteristics; the monitoring target sample features transmitted from the intermediate-level intelligent gateway 22 to the lowest-level intelligent gateway 23 correspond to the target monitoring scenario associated with the lowest-level intelligent gateway 23, that is, the third-class monitoring target sample features. The monitoring feature information transmitted by the highest-level intelligent gateway 21 to the middle-level intelligent gateway 22 corresponds to an area (for example, beijing) where the middle-level intelligent gateway 22 is located, that is, a first-class monitoring target sample feature; the monitoring feature information transmitted by the middle-level intelligent gateway 22 to the lowest-level intelligent gateway 23 corresponds to the associated target monitoring scene (e.g. hospital), i.e. the third-class monitoring target sample feature.
It is understood that for Beijing City: the monitoring feature information transmitted from the highest-level intelligent gateway 21 to the middle-level intelligent gateway 22 is a "severe psychosis personnel monitoring feature library", a "campus violence terrorist personnel monitoring feature library", a "terrorist personnel, general criminals, and visiting personnel monitoring feature library" in beijing;
as can be appreciated, for a hospital scenario: the monitoring feature information transmitted from the intermediate-level intelligent gateway 22 to the lowest-level intelligent gateway 23 is a "severe mental patient monitoring feature library" corresponding to the hospital scene features in beijing.
In some embodiments, in the monitoring method based on a multi-stage intelligent gateway device, the monitoring scenario identification information includes at least one of: checkpoint identification information, airport identification information, high-speed rail station identification information, passenger station identification information, subway identification information, community identification information, campus identification information, and hospital identification information.
Therefore, different scenes can be monitored and processed, and the application scenes are more diversified.
In some embodiments, the monitoring method based on the multi-stage intelligent gateway device includes:
the lowest level of intelligent gateway 23 devices are connected to the one or more image acquisition devices 30.
In some embodiments, the monitoring method based on the multi-stage intelligent gateway device includes:
acquiring the monitoring image information from one or more image acquisition devices 30 through an intelligent gateway connected with one or more image acquisition devices 30;
and extracting the characteristics of the monitored object of the monitoring image information, comparing the characteristics with the characteristics of the monitoring target sample, and transmitting a comparison result and/or the monitoring image information to the intelligent gateway of the upper level.
It can be understood that the intelligent gateway connected to the image acquisition device 30 may be the lowest-level intelligent gateway 23, and the lowest-level intelligent gateway 23 may be the intelligent gateway 23 that acquires the monitoring image information acquired by the image acquisition device 30 and performs feature extraction on the monitoring image information to obtain the feature of the monitored object, for example, performing feature extraction on the monitoring image information according to a preset human face feature template to obtain human face feature data, or performing feature extraction on the monitoring image information according to a preset human body key point feature template to obtain human body key point feature data. Namely, the monitored object characteristics include at least one of the following: face feature data and human body key point feature data. The intelligent gateway 23 at the lowest level further compares the monitored target sample feature with the monitored object feature, specifically includes calculating similarity of the monitored target sample feature and the monitored object feature to obtain a similarity parameter, and determining the similarity parameter according to a threshold, where the threshold may be a specific numerical value, such as 85%, and when the similarity parameter is greater than the threshold, performing information annotation on the monitored image information corresponding to the monitored object feature to obtain an image processing result, such as the image processing result, may include: the characteristics of the monitored object, the monitored image information corresponding to the monitored object information, and the information labeled to the monitored image information, such as "severe psychosis personnel", "campus terrorist personnel", "terrorist personnel, general criminals, and visiting personnel monitoring", are not limited herein.
In some embodiments, in the monitoring method based on the multi-stage intelligent gateway device, the monitoring target sample characteristics include at least one of: monitoring the characteristics of the target human face sample and the characteristics of the target human body sample.
It is to be understood that the monitored target human face sample features may be target human face feature data, the monitored target human body sample features may be target human body key point feature data, each feature data is associated with a set of information, such as the a target human face feature data is associated with the a target human body key point feature data, the identity information of a, and identification information, to obtain a set of information, the identification information may include information such as "severe psychosis person", "campus terrorist person", "terrorist person, general criminal, and visit staff supervision", and the identity information of a may include at least one of the following: the age, sex, nationality, height, identification number, and information of the frequent residence of the person A are not limited herein.
In some embodiments, in the monitoring method based on a multi-stage intelligent gateway device, the image acquiring device 30 includes: camera, face identification box, snapshot machine.
Referring to fig. 2-3, the present invention further provides a monitoring system 20 based on a multi-stage intelligent gateway device, including:
the multi-level intelligent gateway is used for transmitting the characteristics of the monitoring target sample step by step;
the intelligent gateway connected to one or more image acquisition devices 30 is configured to acquire monitoring image information, process the monitoring image information to obtain an image processing result, and transmit the image processing result to the intelligent gateway of the upper level.
In some embodiments, in the monitoring system 20 based on the multi-stage intelligent gateway device, the characteristics of the monitoring target samples transmitted stage by stage are the same; the step-by-step transmission refers to step-by-step transmission from the intelligent gateway of the upper layer to the intelligent gateway of the lower layer.
In some embodiments, the monitoring target samples transmitted stage by stage are different in characteristic.
In some embodiments, the multi-level intelligent gateways include the highest level intelligent gateway 21, the middle level intelligent gateway 22, and the lowest level intelligent gateway 23;
the intelligent gateway 21 at the highest level transmits a first type of monitoring target sample characteristic to the intelligent gateway 22 at the middle level according to the first area identification information;
and the intelligent gateway 22 of the middle hierarchy transmits a second type of monitoring target sample characteristic to the intelligent gateway 23 of the lowest hierarchy according to the second region identification information.
In some embodiments, the multi-level intelligent gateways include the highest level intelligent gateway 21, the middle level intelligent gateway 22, and the lowest level intelligent gateway 23;
the intelligent gateway 21 at the highest level transmits a first type of monitoring target sample characteristic to the intelligent gateway 22 at the middle level according to the first area identification information;
and the intermediate-level intelligent gateway 22 transmits the third-class monitoring target sample characteristics to the lowest-level intelligent gateway 23 according to the monitoring scene identification information.
In some embodiments, the monitoring scenario identification information includes at least one of: checkpoint identification information, airport identification information, high-speed rail station identification information, passenger station identification information, subway identification information, community identification information, campus identification information, and hospital identification information.
In some embodiments, the lowest level of intelligent gateway 23 devices are connected to the one or more image acquisition devices 30.
In some embodiments, an intelligent gateway connected to one or more image capturing devices 30, for obtaining the monitoring image information from one or more of the image capturing devices 30; and extracting the characteristics of the monitored object of the monitoring image information, comparing the characteristics with the characteristics of the monitoring target sample, and transmitting a comparison result and/or the monitoring image information to the intelligent gateway of the upper level.
For the embodiment and the advantageous effects of the monitoring system 20 based on multi-level intelligent gateway devices of the present invention, reference is made to the relevant contents of the monitoring method based on multi-level intelligent gateway devices of the present invention, and details are not repeated herein.
The present invention also provides an apparatus comprising: one or more processors; and
one or more machine-readable media having instructions stored thereon that, when executed by the one or more processors, cause the apparatus to perform one or more of the methods described above.
The present invention also provides one or more machine-readable media having instructions stored thereon, which when executed by one or more processors, cause an apparatus to perform one or more of the methods described above.
As described above, the monitoring method, system, device and medium based on multi-level intelligent gateway devices provided by the present invention pre-set a plurality of intelligent gateways of different levels; transmitting the characteristics of the monitoring target sample step by step through the multi-level intelligent gateway; acquiring monitoring image information through an intelligent gateway connected with one or more image acquisition devices 30; processing the monitoring image information to obtain an image processing result; transmitting the image processing result to the intelligent gateway of the upper level; by gradually sinking the characteristic data, namely the characteristics of the monitoring target sample, to the intelligent gateway 23 at the lowest level, basic level personnel using the intelligent gateway 23 at the lowest level do not need to frequently carry out data coordination in the actual processing process, the problem that the approval process of a coordination mechanism is complex is avoided, data sharing and timely case handling are realized, and the efficiency of handling affairs by basic level policemen or basic level users is improved.
An embodiment of the present application further provides an apparatus, which may include: one or more processors; and one or more machine readable media having instructions stored thereon that, when executed by the one or more processors, cause the apparatus to perform the method of fig. 1. In practical applications, the device may be used as a terminal device, and may also be used as a server, where examples of the terminal device may include: the mobile terminal includes a smart phone, a tablet computer, an electronic book reader, an MP3 (Moving Picture Experts Group Audio Layer III) player, an MP4 (Moving Picture Experts Group Audio Layer IV) player, a laptop, a vehicle-mounted computer, a desktop computer, a set-top box, an intelligent television, a wearable device, and the like.
The present application further provides a non-transitory readable storage medium, where one or more modules (programs) are stored in the storage medium, and when the one or more modules are applied to a device, the device may be caused to execute instructions (instructions) of steps included in the method in fig. 1 according to the present application.
Fig. 4 is a schematic diagram of a hardware structure of a terminal device according to an embodiment of the present application. As shown, the terminal device may include: an input device 1100, a first processor 1101, an output device 1102, a first memory 1103, and at least one communication bus 1104. The communication bus 1104 is used to implement communication connections between the elements. The first memory 1103 may include a high-speed RAM memory, and may also include a non-volatile storage NVM, such as at least one disk memory, and the first memory 1103 may store various programs for performing various processing functions and implementing the method steps of the present embodiment.
In some embodiments, the first processor 1101 may be, for example, a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and the first processor 1101 is coupled to the input device 1100 and the output device 1102 through a wired or wireless connection.
In some embodiments, the input device 1100 may include a variety of input devices, such as at least one of a user-oriented user interface, a device-oriented device interface, a software-programmable interface, a camera, and a sensor. In some embodiments, the device-oriented device interface may be a wired interface for data transmission between devices, or may be a hardware plug-in interface (e.g., USB interface, serial port, etc.) for data transmission between devices; in some embodiments, the user-oriented user interface may be, for example, user-oriented control keys, a voice input device for receiving voice input, and a touch-sensitive device (e.g., a touch screen with touch-sensitive functionality, a touch pad, etc.) for receiving user touch input; in some embodiments, the programmable interface of the software may be, for example, an entry for a user to edit or modify a program, such as an input pin interface or an input interface of a chip; the output devices 1102 may include output devices such as a display, audio, and the like.
In this embodiment, the processor of the terminal device includes a function for executing each module of the speech recognition apparatus in each device, and specific functions and technical effects may refer to the above embodiments, which are not described herein again.
Fig. 5 is a schematic hardware structure diagram of a terminal device according to an embodiment of the present application. Fig. 5 is a specific embodiment of the implementation process of fig. 4. As shown, the terminal device of the present embodiment may include a second processor 1201 and a second memory 1202.
The second processor 1201 executes the computer program code stored in the second memory 1202 to implement the method described in fig. 1 in the above embodiment.
The second memory 1202 is configured to store various types of data to support operations at the terminal device. Examples of such data include instructions for any application or method operating on the terminal device, such as messages, pictures, videos, and so forth. The second memory 1202 may include a Random Access Memory (RAM) and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.
Optionally, a second processor 1201 is provided in the processing assembly 1200. The terminal device may further include: communication component 1203, power component 1204, multimedia component 1205, speech component 1206, input/output interfaces 1207, and/or sensor component 1208. The specific components included in the terminal device are set according to actual requirements, which is not limited in this embodiment.
The processing component 1200 generally controls the overall operation of the terminal device. The processing assembly 1200 may include one or more second processors 1201 to execute instructions to perform all or part of the steps of the data processing method described above. Further, the processing component 1200 can include one or more modules that facilitate interaction between the processing component 1200 and other components. For example, the processing component 1200 can include a multimedia module to facilitate interaction between the multimedia component 1205 and the processing component 1200.
The power supply component 1204 provides power to the various components of the terminal device. The power components 1204 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the terminal device.
The multimedia components 1205 include a display screen that provides an output interface between the terminal device and the user. In some embodiments, the display screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the display screen includes a touch panel, the display screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.
The voice component 1206 is configured to output and/or input voice signals. For example, the voice component 1206 includes a Microphone (MIC) configured to receive external voice signals when the terminal device is in an operational mode, such as a voice recognition mode. The received speech signal may further be stored in the second memory 1202 or transmitted via the communication component 1203. In some embodiments, the speech component 1206 further comprises a speaker for outputting speech signals.
The input/output interface 1207 provides an interface between the processing component 1200 and peripheral interface modules, which may be click wheels, buttons, etc. These buttons may include, but are not limited to: a volume button, a start button, and a lock button.
The sensor component 1208 includes one or more sensors for providing various aspects of status assessment for the terminal device. For example, the sensor component 1208 may detect an open/closed state of the terminal device, relative positioning of the components, presence or absence of user contact with the terminal device. The sensor assembly 1208 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact, including detecting the distance between the user and the terminal device. In some embodiments, the sensor assembly 1208 may also include a camera or the like.
The communication component 1203 is configured to facilitate communications between the terminal device and other devices in a wired or wireless manner. The terminal device may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In one embodiment, the terminal device may include a SIM card slot therein for inserting a SIM card therein, so that the terminal device may log onto a GPRS network to establish communication with the server via the internet.
As can be seen from the above, the communication component 1203, the voice component 1206, the input/output interface 1207 and the sensor component 1208 involved in the embodiment of fig. 5 can be implemented as the input device in the embodiment of fig. 4.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (22)
1. A monitoring method based on multi-stage intelligent gateway equipment is characterized by comprising the following steps:
presetting a plurality of intelligent gateways of different levels;
transmitting the characteristics of the monitoring target sample step by step through the multi-level intelligent gateway;
acquiring monitoring image information through an intelligent gateway connected with one or more image acquisition devices;
processing the monitoring image information to obtain an image processing result;
and transmitting the image processing result to the intelligent gateway at the upper level.
2. The monitoring method based on the multi-stage intelligent gateway equipment according to claim 1, characterized by comprising the following steps:
the characteristics of the monitoring target samples transmitted step by step are the same;
the step-by-step transmission refers to step-by-step transmission from the intelligent gateway of the upper layer to the intelligent gateway of the lower layer.
3. The monitoring method based on the multi-stage intelligent gateway equipment according to claim 1, characterized by comprising the following steps:
and the characteristics of the monitoring target samples transmitted step by step are different.
4. The monitoring method based on the multi-stage intelligent gateway device according to claim 3, characterized by comprising the following steps:
the intelligent gateway at the highest level transmits first-class monitoring target sample characteristics to the intelligent gateways at the middle levels according to the first area identification information;
and the intelligent gateway of the middle level transmits a second type of monitoring target sample characteristics to the intelligent gateway of the lowest level according to second region identification information.
5. The monitoring method based on the multi-stage intelligent gateway device according to claim 3, characterized by comprising the following steps:
the intelligent gateway at the highest level transmits first-class monitoring target sample characteristics to the intelligent gateways at the middle levels according to the first area identification information;
and the intelligent gateway of the middle level transmits the third type of monitoring target sample characteristics to the intelligent gateway of the lowest level according to the monitoring scene identification information.
6. The monitoring method based on the multi-level intelligent gateway device according to claim 5, wherein the monitoring scenario identification information includes at least one of: checkpoint identification information, airport identification information, high-speed rail station identification information, passenger station identification information, subway identification information, community identification information, campus identification information, and hospital identification information.
7. The monitoring method based on the multi-stage intelligent gateway equipment according to claim 1, characterized by comprising the following steps:
and the intelligent gateway device at the lowest level is connected with the one or more image acquisition devices.
8. The monitoring method based on the multi-stage intelligent gateway equipment according to claim 1, characterized by comprising the following steps:
acquiring the monitoring image information from one or more image acquisition devices through an intelligent gateway connected with the one or more image acquisition devices;
and extracting the characteristics of the monitored object of the monitoring image information, comparing the characteristics with the characteristics of the monitoring target sample, and transmitting a comparison result and/or the monitoring image information to the intelligent gateway of the upper level.
9. The multi-level intelligent gateway device-based monitoring method according to claim 1, wherein the monitoring target sample characteristics comprise at least one of: monitoring the characteristics of the target human face sample and the characteristics of the target human body sample.
10. The monitoring method based on the multi-stage intelligent gateway device according to claim 1, wherein the image acquisition device comprises: camera, face identification box, snapshot machine.
11. The monitoring method based on the multi-stage intelligent gateway device according to claim 1,
and when the intelligent gateway of the next level has new monitoring target sample characteristics, transmitting to the intelligent gateway of the previous level, and updating the monitoring target sample characteristics stored by the intelligent gateway of the previous level.
12. A monitoring system based on multi-level intelligent gateway equipment is characterized by comprising:
the multi-level intelligent gateway is used for transmitting the characteristics of the monitoring target sample step by step;
the intelligent gateway is connected with one or more image acquisition devices and is used for acquiring monitoring image information, processing the monitoring image information to obtain an image processing result and transmitting the image processing result to the intelligent gateway at the upper level.
13. The multi-stage intelligent gateway device-based monitoring system according to claim 12, wherein the monitoring target samples transmitted stage by stage have the same characteristics; the step-by-step transmission refers to step-by-step transmission from the intelligent gateway of the upper layer to the intelligent gateway of the lower layer.
14. The multi-stage intelligent gateway device-based monitoring system according to claim 12, wherein the monitoring target samples transmitted stage by stage are different in characteristics.
15. The multi-level intelligent gateway device-based monitoring system of claim 14, wherein the multi-level intelligent gateways comprise a highest-level intelligent gateway, an intermediate-level intelligent gateway, and a lowest-level intelligent gateway;
the intelligent gateway of the highest level transmits first type monitoring target sample characteristics to the intelligent gateway of the middle level according to the first area identification information;
and the intelligent gateway of the middle level transmits a second type of monitoring target sample characteristics to the intelligent gateway of the lowest level according to second region identification information.
16. The multi-level intelligent gateway device-based monitoring system of claim 14, wherein the multi-level intelligent gateways comprise a highest-level intelligent gateway, an intermediate-level intelligent gateway, and a lowest-level intelligent gateway;
the intelligent gateway of the highest level transmits first type monitoring target sample characteristics to the intelligent gateway of the middle level according to the first area identification information;
and the intelligent gateway of the middle level transmits a third type of monitoring target sample characteristics to the intelligent gateway of the lowest level according to the monitoring scene identification information.
17. The multi-level intelligent gateway device-based monitoring system of claim 16, wherein the monitoring scenario identification information includes at least one of: checkpoint identification information, airport identification information, high-speed rail station identification information, passenger station identification information, subway identification information, community identification information, campus identification information, and hospital identification information.
18. The multi-level intelligent gateway device-based monitoring system of claim 12, wherein a lowest-level intelligent gateway device is connected to the one or more image acquisition devices.
19. The multi-stage intelligent gateway device based monitoring system according to claim 12, wherein the intelligent gateway is connected to one or more image acquisition devices, and is configured to acquire the monitoring image information from one or more image acquisition devices;
and extracting the characteristics of the monitored object of the monitoring image information, comparing the characteristics with the characteristics of the monitoring target sample, and transmitting a comparison result and/or the monitoring image information to the intelligent gateway of the upper level.
20. The monitoring system based on multi-stage intelligent gateway devices according to claim 12,
and when the intelligent gateway of the next level has new monitoring target sample characteristics, transmitting to the intelligent gateway of the previous level, and updating the monitoring target sample characteristics stored by the intelligent gateway of the previous level.
21. An apparatus, comprising:
one or more processors; and
one or more machine-readable media having instructions stored thereon that, when executed by the one or more processors, cause the apparatus to perform the method recited by one or more of claims 1-11.
22. One or more machine-readable media having instructions stored thereon, which when executed by one or more processors, cause an apparatus to perform the method recited by one or more of claims 1-11.
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