CN110852306A - Safety monitoring system based on artificial intelligence - Google Patents
Safety monitoring system based on artificial intelligence Download PDFInfo
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- CN110852306A CN110852306A CN201911172289.4A CN201911172289A CN110852306A CN 110852306 A CN110852306 A CN 110852306A CN 201911172289 A CN201911172289 A CN 201911172289A CN 110852306 A CN110852306 A CN 110852306A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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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 belongs to the technical field of safety monitoring, and particularly relates to a safety monitoring system based on artificial intelligence, which comprises a video acquisition end, a server, a cloud computing module, a communication module and an artificial intelligence module, wherein the output end of the video acquisition end is connected with the input end of the server, the output end of the server is connected with the input end of the cloud computing module, a data transmission interface of the cloud computing module is connected with a transmission interface of the communication module, and the accuracy of an image information content analysis result of a target object can be improved by using the artificial intelligence module; through the arrangement of the AI analysis module, the accuracy of obtaining an analysis result of the face in the image can be improved, so that the speed and the efficiency of recognition can be improved; the external remote monitoring terminal and the alarm module can perform timely alarm function when an emergency situation is identified, and inform a user, so that the user can quickly acquire information.
Description
Technical Field
The invention relates to the technical field of safety monitoring, in particular to a safety monitoring system based on artificial intelligence.
Background
Artificial intelligence is abbreviated in english as AI. The method is a new technical science for researching and developing theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.
Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can react in a manner similar to human intelligence, a field of research that includes robotics, language recognition, image recognition, natural language processing, and expert systems, among others. Since the birth of artificial intelligence, theories and technologies become mature day by day, and application fields are expanded continuously, so that science and technology products brought by the artificial intelligence in the future can be assumed to be 'containers' of human intelligence. The artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but can think like a human, and can also exceed human intelligence.
The artificial intelligence system is widely applied at present, has the ability of autonomous learning, and can be applied to various production environments.
The household security equipment is usually used for monitoring indoor theft prevention and safety, but the household security equipment is difficult to inform a user in time, and the acquisition and analysis results are inaccurate, so that the use of intelligent equipment is influenced.
Disclosure of Invention
The invention aims to provide a safety monitoring system based on artificial intelligence, which aims to solve the problems that the safety protection equipment is usually used in a household to monitor indoor theft prevention and safety, but the safety protection equipment is difficult to inform a user in time, and the acquisition and analysis results are inaccurate, so that the use of the intelligent equipment is influenced.
In order to achieve the purpose, the invention provides the following technical scheme: a safety monitoring system based on artificial intelligence comprises a video acquisition end, a server, a cloud computing module, a communication module and an artificial intelligence module, wherein the output end of the video acquisition end is connected with the input end of the server, the output end of the server is connected with the input end of the cloud computing module, a data transmission interface of the cloud computing module is connected with a transmission interface of the communication module, and the transmission interface of the communication module is connected with the transmission interface of the artificial intelligence module;
the artificial intelligence module comprises an input end, a processor, an output end and an AI analysis module, wherein an output interface of the input end is connected with an input interface of the processor through a data line, an output interface of the processor is connected with the output end through a data line, and a transmission interface of the processor is connected with the AI analysis module through a data line;
the video acquisition end acquires image information of a target object and outputs the image information to the server, the server outputs the image information to the cloud computing module, and the cloud computing module performs primary identification processing on the image information;
the cloud computing module outputs the image information of the target object to the artificial intelligence module through the communication module, and the artificial intelligence module analyzes the image information of the target object and obtains the content of the image information of the target object;
the image information of the target object is output from the input end, analyzed and processed by the processor and the AI analysis module, and output the analysis and processing result to the cloud computing module through the communication module.
Preferably, the video acquisition terminal, the server, the cloud computing module, the communication module and the artificial intelligence module are connected through wired transmission or wireless transmission.
Preferably, the video acquisition end, the server, the cloud computing module, the communication module and the artificial intelligence module are connected through wireless transmission.
Preferably, the wireless transmission adopts one or more of a WiFi transmission protocol, a bluetooth transmission protocol, a gprs transmission protocol or a ZigBee transmission protocol.
Preferably, the safety monitoring system based on artificial intelligence further comprises an alarm module, and the alarm module is connected with the output end of the artificial intelligence through a data line.
Preferably, the safety monitoring system based on artificial intelligence further comprises a remote monitoring terminal, and data transmission connection is established between the remote monitoring terminal and the communication module.
Preferably, the alarm module is a light alarm or a loud speaker alarm.
Compared with the prior art, the invention has the beneficial effects that:
1) by using the artificial intelligence module, the accuracy of the image information content analysis result of the target object can be improved;
2) through the arrangement of the AI analysis module, the accuracy of obtaining an analysis result of the face in the image can be improved, so that the speed and the efficiency of recognition can be improved;
3) the external remote monitoring terminal and the alarm module can perform timely alarm function when an emergency situation is identified, and inform a user, so that the user can quickly acquire information.
Drawings
FIG. 1 is a logical block diagram of the system of the present invention;
FIG. 2 is a system logic block diagram of the artificial intelligence module 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.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Example (b):
referring to fig. 1-2, the present invention provides a technical solution: a safety monitoring system based on artificial intelligence comprises a video acquisition end, a server, a cloud computing module, a communication module and an artificial intelligence module, wherein the output end of the video acquisition end is connected with the input end of the server, the output end of the server is connected with the input end of the cloud computing module, a data transmission interface of the cloud computing module is connected with a transmission interface of the communication module, and the transmission interface of the communication module is connected with the transmission interface of the artificial intelligence module;
the video acquisition end adopts a Haikang fisheye camera, the model is DS-2CD3955FWD-IWS, and the video acquisition end can basically support sdk secondary developed IP cameras. The fisheye camera is distorted compared with a common camera, so that the fisheye camera generally needs to be subjected to back distortion when being applied, and the step causes larger delay, so that the fisheye camera does not need to be used as much as possible if the fisheye camera is not required to be used specifically.
The video capture side captures a video stream, which refers to the transmission of video data, which can be processed as a steady and continuous stream over a network, for example. Because of the streaming, the client browser or plug-in is able to display the multimedia data before the entire file is transferred. The video streaming technology is based on 2-key technology, video coding technology and scalable video distribution technology development.
The artificial intelligence module comprises an input end, a processor, an output end and an AI analysis module, wherein an output interface of the input end is connected with an input interface of the processor through a data line, an output interface of the processor is connected with the output end through a data line, and a transmission interface of the processor is connected with the AI analysis module through a data line;
the video acquisition end acquires image information of a target object and outputs the image information to the server, the server outputs the image information to the cloud computing module, and the cloud computing module performs primary identification processing on the image information;
the cloud computing module outputs the image information of the target object to the artificial intelligence module through the communication module, and the artificial intelligence module analyzes the image information of the target object and obtains the content of the image information of the target object;
the image information of the target object is output from the input end, analyzed and processed by the processor and the AI analysis module, and output the analysis and processing result to the cloud computing module through the communication module.
The face recognition scheme based on deep learning accurately recognizes face information in a picture, and provides face attribute recognition, key point positioning and a face 1: 1 comparison, face 1: n identification, biopsy, etc.
It mainly covers the following aspects:
and (3) living body detection: the human face living body detection capability in an off-line/on-line mode is provided, whether an operation user is a real person or not is judged in the human face recognition process, cheating attacks such as photos, videos and molds are effectively resisted, and the service safety is guaranteed. Wherein mobile end development is commonly used for the following functions.
Face detection: and detecting the human face in the image, and marking a frame for the human face. After the human face is detected, the human face can be analyzed, and 72 key points such as eye, mouth and nose contours are obtained to accurately identify various human face attributes such as sex, age, expression and other information.
Face comparison: the similarity of two faces is calculated by extracting the features of the faces, so that whether the same person exists is judged, and a similarity score is given. A comparison operation to help confirm whether the user is himself or herself with the user ID being known, that is, 1: 1, identity authentication. The method can be used for scenes such as real identity verification, people and certificate integrated verification and the like.
Face searching: and giving a photo, and comparing the photo with N faces in the designated face library to find out the most similar face or faces. And returning user information and matching degree according to the matching degree of the face to be recognized and the face in the existing face library, namely 1: and N, retrieving the human face. The method can be used for the relevant scenes of user identity identification and identity authentication.
Video streaming face acquisition: and the capabilities of face detection, face tracking, face acquisition and the like are called off-line, a face picture is rapidly acquired, the quality of the acquired face and picture is ensured, and the face recognition application of each scene is efficiently constructed by matching with an API (application programming interface).
The video acquisition end, the server, the cloud computing module, the communication module and the artificial intelligence module are connected through wired transmission or wireless transmission.
The video acquisition end, the server, the cloud computing module, the communication module and the artificial intelligence module are connected through wireless transmission.
The wireless transmission adopts one or more of WiFi transmission protocol, Bluetooth transmission protocol, gprs transmission protocol or ZigBee transmission protocol.
The safety monitoring system based on the artificial intelligence further comprises an alarm module, and the alarm module is connected with the output end of the artificial intelligence through a data line.
The safety monitoring system based on artificial intelligence further comprises a remote monitoring terminal, and data transmission connection is established between the remote monitoring terminal and the communication module.
The alarm module is a light alarm or a loud speaker alarm.
The application comprises the following steps: a user collects indoor and outdoor video streams through a video collection end, and inputs face images, which are face images of family or relatives and friends, into a cloud computing module and an artificial intelligence module in advance for distinguishing strange face images;
the cloud computing module and the artificial intelligence module perform face recognition on the video stream collected by the video collection end, when a stranger appears in the video stream, the alarm module starts warning and reminding to attract the attention of a user, when the stranger does not conform to the conventional situation, the user can timely find out the out-of-phase through the remote monitoring terminal and timely process the out-of-phase, if alarming is performed, the video stream can be downloaded to serve as a reporting basis in the later period, and therefore the user can conveniently adopt legal means to protect the legitimate rights and interests of the user.
While there have been shown and described the fundamental principles and essential features of the invention and advantages thereof, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof; the present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein, and any reference signs in the claims are not intended to be construed as limiting the claim concerned.
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 safety monitoring system based on artificial intelligence, includes video acquisition end, server and cloud computing module, its characterized in that: the output end of the video acquisition end is connected with the input end of the server, the output end of the server is connected with the input end of the cloud computing module, the data transmission interface of the cloud computing module is connected with the transmission interface of the communication module, and the transmission interface of the communication module is connected with the transmission interface of the artificial intelligence module;
the artificial intelligence module comprises an input end, a processor, an output end and an AI analysis module, wherein an output interface of the input end is connected with an input interface of the processor through a data line, an output interface of the processor is connected with the output end through a data line, and a transmission interface of the processor is connected with the AI analysis module through a data line;
the video acquisition end acquires image information of a target object and outputs the image information to the server, the server outputs the image information to the cloud computing module, and the cloud computing module performs primary identification processing on the image information;
the cloud computing module outputs the image information of the target object to the artificial intelligence module through the communication module, and the artificial intelligence module analyzes the image information of the target object and obtains the content of the image information of the target object;
the image information of the target object is output from the input end, analyzed and processed by the processor and the AI analysis module, and output the analysis and processing result to the cloud computing module through the communication module.
2. The artificial intelligence based security monitoring system of claim 1, wherein: the video acquisition end, the server, the cloud computing module, the communication module and the artificial intelligence module are connected through wired transmission or wireless transmission.
3. The artificial intelligence based security monitoring system of claim 2, wherein: the video acquisition end, the server, the cloud computing module, the communication module and the artificial intelligence module are connected through wireless transmission.
4. The artificial intelligence based security monitoring system of claim 3, wherein: the wireless transmission adopts one or more of a WiFi transmission protocol, a Bluetooth transmission protocol, a gprs transmission protocol or a ZigBee transmission protocol.
5. The artificial intelligence based security monitoring system of claim 1, wherein: the safety monitoring system based on the artificial intelligence further comprises an alarm module, and the alarm module is connected with the output end of the artificial intelligence through a data line.
6. The artificial intelligence based security monitoring system of claim 1, wherein: the safety monitoring system based on artificial intelligence further comprises a remote monitoring terminal, and data transmission connection is established between the remote monitoring terminal and the communication module.
7. The artificial intelligence based security monitoring system of claim 5, wherein: the alarm module is a light alarm or a loud speaker alarm.
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| CN201911172289.4A CN110852306A (en) | 2019-11-26 | 2019-11-26 | Safety monitoring system based on artificial intelligence |
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