CN110751800A - Voice alarm prompt system based on video AI intelligent analysis - Google Patents
Voice alarm prompt system based on video AI intelligent analysis Download PDFInfo
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- CN110751800A CN110751800A CN201910948326.XA CN201910948326A CN110751800A CN 110751800 A CN110751800 A CN 110751800A CN 201910948326 A CN201910948326 A CN 201910948326A CN 110751800 A CN110751800 A CN 110751800A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B3/00—Audible signalling systems; Audible personal calling systems
- G08B3/10—Audible signalling systems; Audible personal calling systems using electric transmission; using electromagnetic transmission
- G08B3/1008—Personal calling arrangements or devices, i.e. paging systems
- G08B3/1016—Personal calling arrangements or devices, i.e. paging systems using wireless transmission
- G08B3/1025—Paging receivers with audible signalling details
- G08B3/1033—Paging receivers with audible signalling details with voice message alert
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
- G06K17/0029—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device the arrangement being specially adapted for wireless interrogation of grouped or bundled articles tagged with wireless record carriers
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/46—Interconnection of networks
- H04L12/4641—Virtual LANs, VLANs, e.g. virtual private networks [VPN]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Abstract
The invention discloses a video AI-based public network customized voice alarm system, which comprises a front-end system, an equipment unified management module, a VPN switch and a back-end video intelligent analysis server component, and relates to the technical field of network communication. This public network customization pronunciation alarm system based on video AI can realize can real-time identification present alarm event eigenvalue taking place, get rid of staff's wrong report through matching staff's eigenvalue, can be directed against present appointed region, current time and current personnel's eigenvalue, the pronunciation prompt message that reports an emergency and asks for help or increased vigilance of customization, promote the stereo set of reporting an emergency near the place region in real time, carry out real-time pronunciation and report an emergency and ask for help or increased vigilance, realize driving away the mesh that personnel left current danger area, the video eigenvalue through RFID technique and staff uniform combines simultaneously, avoid causing the drawback of unable discernment staff's wrong report because video single means such as video remote personnel pixel undersize.
Description
Technical Field
The invention relates to the technical field of network communication, in particular to a video AI-based public network customized voice alarm system.
Background
The public network is relative to the internal network, the IP address obtained by the computer on the Internet of the internal network is a reserved address on the Internet, the IP address obtained by the computer on the Internet of the public network is a public address of the Internet and is an unreserved address, and the computer of the public network and other computers on the Internet can freely access each other.
The existing traditional voice alarm prompting system also has the following problems:
1. the traditional voice alarm system is mainly based on physical sensing technical means such as infrared sensing, microwave sensing and the like, and generates a trigger signal when a human body is sensed to reach the vicinity of alarm equipment, so that the alarm equipment is triggered to play voice prompt information recorded in advance;
2. when the traditional voice alarm equipment is deployed with edge equipment nodes far away from a main node, comprehensive wiring cannot be carried out, a 4G router is required to be connected with a public network to be in butt joint with a server, a corresponding relation between a terminal node and the server is configured in a DDNS domain name resolution mode or a port mapping mode, the IP addresses of the terminal and the server need public network IP addresses, and the problem that the system response is slow due to the DDNS domain name resolution speed easily occurs.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a public network customized voice alarm system based on video AI, which solves the problems that the traditional voice alarm equipment cannot distinguish staff, people or animals, is easy to generate false alarm, the triggered alarm prompt content is fixed, and comprehensive wiring cannot be carried out, so that the system response is slow due to the DDNS domain name resolution speed.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a public network customized voice alarm system based on video AI comprises a front-end system, an equipment unified management module, a VPN switch and a rear-end video intelligent analysis server component, wherein the front-end system comprises an IPC camera, an IP intelligent sound and an RFID reader-writer, the rear-end video intelligent analysis server component comprises a transmission layer, a data layer and an application layer, the application layer comprises a video intelligent analysis module, an alarm logic analysis module and a statistic analysis module, and the transmission layer comprises a VPN module.
The invention also discloses a working process of the public network customized voice alarm system based on the video AI, which specifically comprises the following steps:
s1, when the person enters the IPC specified area range;
s2, the video intelligent analysis module firstly makes a preliminary judgment in a designated area to judge whether the object is an object needing to be detected, and when the human body characteristics are detected;
s3, the alarm logic analysis module judges whether the RFID characteristic value signal is received, if the RFID characteristic value signal is received, the S4 is entered, and if the RFID characteristic value signal is not received, the S5 is entered;
s4, judging the event to be a normal event, canceling alarm pushing and ending the process;
s5, extracting characteristic values of the clothes of the person in the picture through a video intelligent analysis module, and carrying out classification comparison on the characteristic values;
s6, judging whether the characteristic value is larger than the threshold value of the characteristic value of the staff model through the video intelligent analysis module, and accordingly determining whether the staff model is the staff, if the staff model is the staff, entering S7, and if the staff model is not the staff, entering S8;
s7, judging the event to be a normal event, canceling alarm pushing and ending the process;
s8, generating an alarm event of the IPC equipment ID corresponding to the event, and generating an alarm voice prompt file in a data layer in a user-defined way according to the human body characteristic value and the strategy detected by the current event, wherein the header file of the corresponding voice file also comprises the ID number of the IPC equipment corresponding to the event;
s9, judging whether the ID number network environment of the target node IPC equipment is in a public network or a private network, if so, entering S10, and if so, entering S11;
s10, the system establishes a path between the server and the IPC device ID number in the VPN module in the transmission layer, pushes the voice file to the target IP sound device to play the alarm prompt in real time, and the process is finished;
s11, the system establishes a path between the server and the IPC ID directly through the LAN in the transmission layer, the voice file is sent to the target IP sound equipment to play the alarm prompt in real time, and the process is finished.
The invention also discloses a front-end equipment node flow of the public network customized voice alarm system based on the video AI, which specifically comprises the following steps:
s1, adding IPC, RFID receiver and IP sound node hardware;
s2, equipment software initialization configuration of newly added IPC, RFID receiver and IP sound node;
s3, determine that the current network architecture is a public network by the device management module? If so, go to S4, if not, go to S5;
s4, adding a VPN switch at the terminal node, and carrying out equipment addition configuration by the transmission layer VPN module, wherein the newly added VPN switch equipment is added into the VPN network;
s5, the device management module increases the IP address and the initialization configuration parameter of the newly added device;
s6, configuring an intelligent analysis detection strategy of the newly added equipment by the video analysis module;
s7, configuring the generation rule of the alarm custom information of the newly added equipment by the alarm management module;
and S8, the equipment management module performs heartbeat training detection on all the equipment, and the newly added equipment is formally started.
Preferably, the RFID reader/writer performs wireless communication with the RFID electronic tag through an antenna, and the RFID reader/writer includes a high-frequency module (transmitter and receiver), a control unit, and a reader antenna.
Preferably, the alarm logic analysis module is used for judging the RFID characteristic value signal.
Preferably, the video intelligent analysis module is used for judging whether the characteristic value is larger than a threshold value of the characteristic value of the worker model.
Preferably, the IPC camera is formed by combining a network coding module and an analog camera.
(III) advantageous effects
The invention provides a public network customized voice alarm system based on video AI. The method has the following beneficial effects:
(1) the public network customized voice alarm system based on the video AI is characterized in that a person enters an IPC (International Mobile communications) specified area range through S1; s2, the video intelligent analysis module firstly makes a preliminary judgment in a designated area to judge whether the object is an object needing to be detected, and when the human body characteristics are detected; s3, the alarm logic analysis module judges whether the RFID characteristic value signal is received, if the RFID characteristic value signal is received, the S4 is entered, and if the RFID characteristic value signal is not received, the S5 is entered; s4, judging the event to be a normal event, canceling alarm pushing and ending the process; s5, extracting characteristic values of the clothes of the person in the picture through a video intelligent analysis module, and carrying out classification comparison on the characteristic values; s6, judging whether the characteristic value is larger than the threshold value of the characteristic value of the staff model through the video intelligent analysis module, and accordingly determining whether the staff model is the staff, if the staff model is the staff, entering S7, and if the staff model is not the staff, entering S8; s7, judging the event to be a normal event, canceling alarm pushing and ending the process; s8, generating an alarm event of the IPC equipment ID corresponding to the event, and generating an alarm voice prompt file in a data layer in a user-defined way according to the human body characteristic value and the strategy detected by the current event, wherein the header file of the corresponding voice file also comprises the ID number of the IPC equipment corresponding to the event; s9, judging whether the ID number network environment of the target node IPC equipment is in a public network or a private network, if so, entering S10, and if so, entering S11; s10, the system establishes a path between the server and the IPC device ID number in the VPN module in the transmission layer, pushes the voice file to the target IP sound device to play the alarm prompt in real time, and the process is finished; s11, the system establishes a path between the server and the IPC ID directly through the LAN in the transmission layer, the voice file is sent to the target IP sound equipment to play the alarm prompt in real time, the process is finished, can realize the real-time recognition of the characteristic value of the alarm event which is currently happening, eliminate the false alarm of the staff by matching the characteristic value of the staff, generate customized alarm voice prompt information aiming at the current designated area, the current time and the characteristic value of the current staff, push the alarm sound near the area where the event happens in real time to carry out real-time voice alarm, and realize the purpose of expelling the staff from the current dangerous area, meanwhile, the identification of appointed workers is realized by combining the RFID technology with the video characteristic values of uniform of the workers, and the defect that the misinformation of the workers cannot be identified due to video single means such as undersize of pixel points of remote personnel at the video is avoided.
(2) The video AI-based public network customized voice alarm system is characterized in that hardware of S1, newly added IPC, RFID receivers and IP sound nodes is adopted; s2, equipment software initialization configuration of newly added IPC, RFID receiver and IP sound node; s3, determine that the current network architecture is a public network by the device management module? If so, go to S4, if not, go to S5; s4, adding a VPN switch at the terminal node, and carrying out equipment addition configuration by the transmission layer VPN module, wherein the newly added VPN switch equipment is added into the VPN network; s5, the device management module increases the IP address and the initialization configuration parameter of the newly added device; s6, configuring an intelligent analysis detection strategy of the newly added equipment by the video analysis module; s7, the alarm management module configures a generation rule of the alarm custom information of the newly added equipment, the 4G internet is used for transparent transmission, a wide area LAN is realized in a cloud VPN mode, comprehensive wiring is not needed for part of edge nodes far away from the main node, public network IP addresses and domain names are saved, engineering implementation cost is saved, system response rate is improved, and user experience is improved.
Drawings
FIG. 1 is a schematic diagram of a 4G Internet architecture according to the present invention;
FIG. 2 is a schematic diagram of the LAN system architecture of the present invention;
FIG. 3 is a flow chart of the operation of the system of the present invention;
fig. 4 is a flowchart of the front-end device node process of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-4, an embodiment of the present invention provides a technical solution: a public network customized voice alarm system based on video AI utilizes the related algorithm in the field of computer vision, under the condition of almost no manual intervention, the video image sequence collected by the system is automatically analyzed and calculated, namely, the moving object in the video image is mainly detected, tracked, identified and suspicious object is detected, the video image sequence is intelligently analyzed and compared on the basis, the false alarm of the staff is eliminated through the identification of RFID or the characteristic value of the staff at the moment, the abnormal event can be accurately identified, meanwhile, the customized voice alarm system can be generated according to the characteristic content of the current video identification, the voice alarm system is pushed to the field area to play in real time for real-time voice alarm prompt, the field early warning is carried out in a comprehensive management and control platform, and the management efficiency and reliability of video monitoring are improved, and the system comprises a front end system, an equipment unified management module, The system comprises a VPN switch and a back-end video intelligent analysis server component, wherein the front-end system comprises an IPC Camera, an IP intelligent sound and an RFID reader-writer, the back-end video intelligent analysis server component comprises a transmission layer, a data layer and an application layer, the application layer comprises a video intelligent analysis module, an alarm logic analysis module and a statistical analysis module, the transmission layer comprises a VPN module, the IPC is an abbreviation of the IP Camera, the IP is an internet protocol, the Camera is a Camera and a video Camera, the IPCamera is a network Camera as the name implies, and the IPCamera is a new generation Camera generated by combining a traditional Camera and a network technology.
The invention also discloses a working process of the public network customized voice alarm system based on the video AI, which specifically comprises the following steps:
s1, when the person enters the IPC specified area range;
s2, the video intelligent analysis module firstly makes a preliminary judgment in a designated area to judge whether the object is an object needing to be detected, and when the human body characteristics are detected;
s3, the alarm logic analysis module judges whether the RFID characteristic value signal is received, if the RFID characteristic value signal is received, the S4 is entered, and if the RFID characteristic value signal is not received, the S5 is entered;
s4, judging the event to be a normal event, canceling alarm pushing and ending the process;
s5, extracting characteristic values of the clothes of the person in the picture through a video intelligent analysis module, and carrying out classification comparison on the characteristic values;
s6, judging whether the characteristic value is larger than the threshold value of the characteristic value of the staff model through the video intelligent analysis module, and accordingly determining whether the staff model is the staff, if the staff model is the staff, entering S7, and if the staff model is not the staff, entering S8;
s7, judging the event to be a normal event, canceling alarm pushing and ending the process;
s8, generating an alarm event of the IPC equipment ID corresponding to the event, and generating an alarm voice prompt file in a data layer in a user-defined way according to the human body characteristic value and the strategy detected by the current event, wherein the header file of the corresponding voice file also comprises the ID number of the IPC equipment corresponding to the event;
s9, judging whether the ID number network environment of the target node IPC equipment is in a public network or a private network, if so, entering S10, and if so, entering S11;
s10, the system establishes a path between the server and the IPC device ID number in the VPN module in the transmission layer, pushes the voice file to the target IP sound device to play the alarm prompt in real time, and the process is finished;
s11, the system establishes a path between the server and the IPC ID directly through the LAN in the transmission layer, the voice file is sent to the target IP sound equipment to play the alarm prompt in real time, and the process is finished.
The invention also discloses a front-end equipment node flow of the public network customized voice alarm system based on the video AI, which can realize transparent transmission through a 4G internet, realize a wide area LAN (local area network) in a cloud VPN (virtual private network) mode, save public network IP (Internet protocol) addresses and domain names aiming at partial edge nodes far away from the main node, save engineering implementation cost, improve the response speed of the system and improve user experience, and specifically comprises the following steps:
s1, adding IPC, RFID receiver and IP sound node hardware;
s2, equipment software initialization configuration of newly added IPC, RFID receiver and IP sound node;
s3, determine that the current network architecture is a public network by the device management module? If so, go to S4, if not, go to S5;
s4, adding a VPN switch at the terminal node, and carrying out equipment addition configuration by the transmission layer VPN module, wherein the newly added VPN switch equipment is added into the VPN network;
s5, the device management module increases the IP address and the initialization configuration parameter of the newly added device;
s6, configuring an intelligent analysis detection strategy of the newly added equipment by the video analysis module;
s7, configuring the generation rule of the alarm custom information of the newly added equipment by the alarm management module;
and S8, the equipment management module performs heartbeat training detection on all the equipment, and the newly added equipment is formally started.
In the invention, the RFID reader-writer performs wireless communication with the RFID electronic tag through an antenna, and the RFID reader-writer comprises a high-frequency module (a transmitter and a receiver), a control unit and a reader antenna.
In the invention, the alarm logic analysis module is used for judging the RFID characteristic value signal.
In the invention, the video intelligent analysis module is used for judging whether the characteristic value is larger than the threshold value of the characteristic value of the worker model.
In the invention, the IPC camera is formed by combining a network coding module and an analog camera.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. The utility model provides a public network customization voice warning system based on video AI, includes front end system, the unified management module of equipment, VPN switch and rear end video intelligent analysis server subassembly, its characterized in that: the front-end system comprises an IPC camera, an IP intelligent sound and an RFID reader-writer, the rear-end video intelligent analysis server component comprises a transmission layer, a data layer and an application layer, the application layer comprises a video intelligent analysis module, an alarm logic analysis module and a statistic analysis module, and the transmission layer comprises a VPN module.
2. The video AI-based public network customized voice alarm system according to claim 1, wherein: the work flow specifically comprises the following steps:
s1, when the person enters the IPC specified area range;
s2, the video intelligent analysis module firstly makes a preliminary judgment in a designated area to judge whether the object is an object needing to be detected, and when the human body characteristics are detected;
s3, the alarm logic analysis module judges whether the RFID characteristic value signal is received, if the RFID characteristic value signal is received, the S4 is entered, and if the RFID characteristic value signal is not received, the S5 is entered;
s4, judging the event to be a normal event, canceling alarm pushing and ending the process;
s5, extracting characteristic values of the clothes of the person in the picture through a video intelligent analysis module, and carrying out classification comparison on the characteristic values;
s6, judging whether the characteristic value is larger than the threshold value of the characteristic value of the staff model through the video intelligent analysis module, and accordingly determining whether the staff model is the staff, if the staff model is the staff, entering S7, and if the staff model is not the staff, entering S8;
s7, judging the event to be a normal event, canceling alarm pushing and ending the process;
s8, generating an alarm event of the IPC equipment ID corresponding to the event, and generating an alarm voice prompt file in a data layer in a user-defined way according to the human body characteristic value and the strategy detected by the current event, wherein the header file of the corresponding voice file also comprises the ID number of the IPC equipment corresponding to the event;
s9, judging whether the ID number network environment of the target node IPC equipment is in a public network or a private network, if so, entering S10, and if so, entering S11;
s10, the system establishes a path between the server and the IPC device ID number in the VPN module in the transmission layer, pushes the voice file to the target IP sound device to play the alarm prompt in real time, and the process is finished;
s11, the system establishes a path between the server and the IPC ID directly through the LAN in the transmission layer, the voice file is sent to the target IP sound equipment to play the alarm prompt in real time, and the process is finished.
3. The video AI-based public network customized voice alarm system according to claim 1, wherein: the front-end equipment node flow specifically comprises the following steps:
s1, adding IPC, RFID receiver and IP sound node hardware;
s2, equipment software initialization configuration of newly added IPC, RFID receiver and IP sound node;
s3, determine that the current network architecture is a public network by the device management module? If so, go to S4, if not, go to S5;
s4, adding a VPN switch at the terminal node, and carrying out equipment addition configuration by the transmission layer VPN module, wherein the newly added VPN switch equipment is added into the VPN network;
s5, the device management module increases the IP address and the initialization configuration parameter of the newly added device;
s6, configuring an intelligent analysis detection strategy of the newly added equipment by the video analysis module;
s7, configuring the generation rule of the alarm custom information of the newly added equipment by the alarm management module;
and S8, the equipment management module performs heartbeat training detection on all the equipment, and the newly added equipment is formally started.
4. The video AI-based public network customized voice alarm system according to claim 1, wherein: the RFID reader-writer carries out wireless communication with the RFID electronic tag through an antenna, and comprises a high-frequency module (a transmitter and a receiver), a control unit and a reader antenna.
5. The video AI-based public network customized voice alarm system according to claim 1, wherein: the alarm logic analysis module is used for judging the RFID characteristic value signal.
6. The video AI-based public network customized voice alarm system according to claim 1, wherein: the video intelligent analysis module is used for judging whether the characteristic value is larger than the threshold value of the characteristic value of the worker model.
7. The video AI-based public network customized voice alarm system according to claim 1, wherein: the IPC camera is formed by combining a network coding module and an analog camera.
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| CN113112722A (en) * | 2021-03-03 | 2021-07-13 | 杭州海康威视数字技术股份有限公司 | Event detection method, device, system and equipment |
| CN114268541A (en) * | 2021-12-22 | 2022-04-01 | 成都鼎安华智慧物联网股份有限公司 | Access method of internet and video equipment |
| CN117409517A (en) * | 2023-10-19 | 2024-01-16 | 光谷技术有限公司 | Voice alarm system and method based on video AI behavior analysis |
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| CN113112722A (en) * | 2021-03-03 | 2021-07-13 | 杭州海康威视数字技术股份有限公司 | Event detection method, device, system and equipment |
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