CN116403377A - Abnormal behavior and hidden danger detection device in public place - Google Patents
Abnormal behavior and hidden danger detection device in public place Download PDFInfo
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- CN116403377A CN116403377A CN202310364849.6A CN202310364849A CN116403377A CN 116403377 A CN116403377 A CN 116403377A CN 202310364849 A CN202310364849 A CN 202310364849A CN 116403377 A CN116403377 A CN 116403377A
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- 206010000117 Abnormal behaviour Diseases 0.000 title claims abstract description 53
- 238000001514 detection method Methods 0.000 title claims abstract description 39
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
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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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
- H04N23/51—Housings
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
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Abstract
The invention relates to the technical field of AI image recognition, and particularly discloses a device for detecting abnormal behaviors and hidden dangers in public places, which comprises a sunshade, a camera, an infrared module, an abnormal sound detection module, a processor, a man-machine interaction module, a voice module, a background monitoring module and an alarm module, wherein the voice module is used for monitoring the abnormal behaviors and hidden dangers in public places; the infrared module is arranged on the right side of the camera, the abnormal sound detection module is arranged at the tail part of the camera, and the voice module is arranged at the lower end of the camera and the central control room. The abnormal behavior and potential safety hazard of the current public place are detected, the behaviors and the surrounding environment of people are analyzed through the processor, when the abnormal behavior and the potential hazard are found, the unconventional behavior in the public place is dissuaded in time, and corresponding measures can be taken for the safety problem of the public place at the first time. The invention improves the safety, the ordering and the commonality of public places, effectively ensures the satisfaction degree and the comfort degree of residents in the public places, reduces human errors, reduces the cost of manpower, material resources and time, and improves the monitoring efficiency. The device can meet various requirements of different public places.
Description
Technical Field
The invention relates to the technical field of AI image recognition, in particular to a device for detecting abnormal behaviors and hidden dangers in public places.
Background
In public places such as markets, parks, airports, subway stations and the like, people are dense, and the flow of people is large, so that certain potential safety hazards exist, such as fire, terrorist attacks, robbers and the like. In public places, there are abnormal behaviors, such as carrying suspicious articles, making noises, fighting, maliciously destroying, graffiti, carrying pets, smoking, illegally parking, etc., and these abnormal behaviors may bring about potential safety hazards to public places. Meanwhile, various hidden problems such as fire, safety order, noise and the like exist. In order to secure public places, a series of measures including strengthening security force, setting up monitoring cameras, conducting security inspection, and the like are required. Among them, security inspection is one of important means for securing public places. The traditional safety inspection mode is mostly manual inspection, but the mode has the problems of high labor cost, large omission rate and the like.
The target detection has made breakthrough progress in the field of computer vision, and has been widely applied in the fields of unmanned aerial vehicle, face detection, vehicle license plate recognition, unmanned aerial vehicle, industrial detection and the like. Abnormal behaviors and hidden dangers existing in public places can be identified and monitored through technologies such as artificial intelligence, machine vision and sensors. Has great significance in reducing manpower and speed. Wherein, abnormal behavior recognition and hidden trouble detection are also one of them.
At present, people have higher requirements on comfort and safety in public places, but when emergency occurs, the problem of slow discovery often occurs. Resulting in reduced comfort and greater incidents.
Disclosure of Invention
Therefore, the invention aims to avoid disputes and safety accidents and provides a device for detecting abnormal behaviors and hidden dangers in public places. The method is used for solving the problems of abnormal behavior and potential safety hazards in public places in the prior art, is convenient to discover the problems of the abnormal behavior and the potential safety hazards in time, and solves the problem of untimely discovery of efficiency. The travel comfort and the travel safety of people in public places are improved. Can meet the requirements of most occasions.
The invention provides a device for detecting abnormal behaviors and hidden dangers in a public place, which comprises a sunshade, a camera, an infrared module, an abnormal sound detection module, a processor, a man-machine interaction module, a voice module, an alarm module and a background monitoring module, wherein the sunshade is connected with the camera; the infrared module is arranged on the right side of the camera; the abnormal sound detection module is arranged at the tail part of the video camera; the voice module is arranged in the camera and a central control room; the processor, the background monitoring module, the man-machine interaction module and the alarm module are arranged in a central control room;
as a further improvement, the camera is vertically downwards arranged on the supporting foot stool, and the camera forms an included angle of 60 degrees with the vertical direction of the supporting foot stool.
As a further improvement, the cameras are all Xenics area array shortwave infrared cameras, and the abnormal sound detection modules are additionally arranged at the lower ends of the cameras before the cameras are additionally arranged.
The invention provides a public place abnormal behavior and hidden danger detection device, which is characterized in that the common functions comprise the following steps:
the first step: behavioral image acquisition, sound signal acquisition and infrared light acquisition
1-1, collecting crowd behavior images in public places in real time;
1-2, collecting the sound decibel size and frequency of a public place in real time;
1-3, setting parameters of the thermal imager, such as temperature range, color distribution, frame rate, etc., according to the characteristics of the detected object and environmental conditions. Meanwhile, a calibration plate is used for calibrating the measurement range so as to ensure the accuracy and reliability of measurement;
and a second step of: behavioural image and sound signal preprocessing
2-1, denoising the behavior image, namely, carrying out median filtering denoising treatment on the image on the basis of the step 1-1, namely, sorting pixel values around each pixel point in the image, taking a median value to replace the pixel value, and reducing salt and pepper noise and speckle noise.
2-2, dividing the behavior image, namely on the basis of the step 2-1, selecting a dynamic threshold method to divide the behavior image into images, and removing the background image.
2-3, extracting the characteristic of the behavior image, and extracting the characteristic of the behavior image by a human body posture characteristic extraction method and an action characteristic extraction method on the basis of the step 2-2, so as to obtain the angle and the distance of the joint. Meanwhile, the behavior of a person is decomposed into a plurality of action parts, and then each action part is subjected to characteristic extraction, including action cycle, action energy and the like.
2-4, denoising the sound signals, pre-emphasis processing is carried out on the sound on the basis of the step 1-2, and high-pass filtering is carried out on the sound signals so as to emphasize high-frequency components and improve the stability and accuracy of the signals.
2-5, segmenting the sound signal, and dividing the sound signal into a plurality of continuous small segments on the basis of the step 2-4 so as to carry out further processing.
2-6, extracting sound characteristics, and extracting characteristic parameters such as MFCC, power spectral density and the like from the voice signals on the basis of the step 2-5, wherein the characteristic parameters are used as input of subsequent processing.
2-7, detecting the temperature of the object, scanning the object in the public place on the basis of the step 1-3, and recording the temperature data of each position.
And a third step of: detection of abnormal behaviors and hidden dangers in public places
3-1, detecting abnormal behaviors, analyzing human behaviors in public places on the basis of the step 2-3, and comparing acquired data with data on a training set.
3-2, detecting the sound signals, and analyzing the sound characteristics of public places on the basis of the step 2-6, such as analyzing the frequency, wanted reading, harmonic components and the like of the sound signals.
3-3, detecting infrared signals, analyzing the infrared signals in public places on the basis of the step 2-7, processing and analyzing recorded temperature data, searching abnormal temperature values, and judging whether hot spot areas exist or not.
Fourth step: alert and data preservation
4-1, alarming abnormal behaviors, namely alarming in a central control room in time when abnormal behaviors are detected on the basis of the step 3-1, and alarming through a voice system.
4-2, abnormal sound alarming, namely alarming in a central control room in time when abnormal sound is detected on the basis of the step 3-2, and alarming through a voice system.
4-3, alarming abnormal infrared hot spot, and on the basis of the step 3-3, sending out an alarm signal in time when an abnormal hot spot area is detected, and further checking and processing.
4-4, data storage, namely storing the measured data for later analysis and comparison. And (3) on the basis of the steps 4-1, 4-2 and 4-3, additionally storing images, sounds and infrared hot spots of abnormal frequency bands when abnormal conditions occur.
The implementation of the invention has the beneficial effects that: the device for detecting the abnormal behaviors and hidden dangers in the public places combines a camera, an infrared module, an abnormal sound detection module, a processor, a man-machine interaction module, a voice module, an alarm module and a background monitoring module. When the intelligent control system is set up in places with large flow of people or hidden danger in public places, the camera can collect images, sounds and infrared rays of people and transmit the data to the central control room for data preprocessing and data analysis, and real-time data of all areas can be displayed on a screen of the central control room. The invention increases the travelling comfort and safety of people; human errors are reduced, negligence and errors possibly occur in the human operation and management process, and the abnormal behavior and hidden danger detection device can automatically detect the abnormal behavior and hidden danger without manual intervention, so that the human errors are reduced; the cost is saved, the labor, material and time costs are reduced, and meanwhile, the maintenance cost of the monitoring equipment is reduced; the efficiency is improved, the abnormal behavior and hidden danger detection device can monitor and analyze behaviors and conditions in places in real time, so that the monitoring efficiency is improved, and abnormal conditions can be responded quickly; the detection device for abnormal behaviors and hidden dangers in the public places can record and analyze the behavior and condition data in the places, and support is provided for safety management and prediction.
Correspondingly, the invention adopts the camera to be vertically downwards arranged on the supporting foot stool, so that the quality of the behavior image can be improved, and the camera forms an included angle of 60 degrees with the vertical direction of the supporting foot stool, so that the quality of the behavior image of the person can be improved.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a diagram showing the process of positioning a surveillance camera in proximity to a surveillance area, and the angular selection of the camera from a stand;
fig. 2 is a diagram showing a relationship among a field angle of a camera, a distance from the camera to an imaging target (object), and a field ratio.
Fig. 3 is a general block diagram of a public place abnormal behavior and hidden danger detection device.
Fig. 4 is a flow chart of a public place abnormal behavior and hidden trouble detection device.
FIG. 5 is a flow chart of a usage scenario of a public place abnormal behavior and hidden danger detection device.
Detailed Description
In order to better understand the technical solutions of the present invention, the following description will be made in detail with reference to the accompanying drawings and specific embodiments, and it should be noted that, without conflict, the embodiments of the present application and features in the embodiments may be combined with each other.
Referring to fig. 1, fig. 1 shows a first embodiment of a public place abnormal behavior and hidden danger detection device, which includes a sunshade, a camera, an infrared module, an abnormal sound detection module, a processor, a man-machine interaction module, a voice module, an alarm module, and a background monitoring module; the infrared module is arranged on the right side of the camera; the abnormal sound detection module is arranged at the tail part of the video camera; the voice module is arranged in the camera and a central control room; the processor, the background monitoring module, the man-machine interaction module and the alarm module are arranged in a central control room;
referring to fig. 2, the camera is vertically downwards arranged on the supporting foot stool, and the camera forms an included angle of 60 degrees with the vertical direction of the supporting foot stool, so that the stability and consistency of the image acquisition of the door and window products are ensured.
Furthermore, the cameras adopt Xenics area array shortwave infrared cameras, and an abnormal sound detection module is additionally arranged at the lower ends of the cameras before the cameras are additionally arranged.
During operation, the camera can collect images, sounds and infrared rays of people, data are transmitted to the central control room for data preprocessing and data analysis, and real-time data of all areas can be displayed on the screen of the central control room. Referring to fig. 3, the device for detecting abnormal behaviors and hidden dangers in public places provided by the embodiment of the invention comprises the following steps:
the first step: behavioral image acquisition, sound signal acquisition and infrared light acquisition
1-1, collecting crowd behavior images in public places in real time;
1-2, collecting the sound decibel size and frequency of a public place in real time;
1-3, setting parameters of the thermal imager, such as temperature range, color distribution, frame rate, etc., according to the characteristics of the detected object and environmental conditions. Meanwhile, a calibration plate is used for calibrating the measurement range so as to ensure the accuracy and reliability of measurement;
and a second step of: behavioural image and sound signal preprocessing
2-1, denoising the behavior image, namely, carrying out median filtering denoising treatment on the image on the basis of the step 1-1, namely, sorting pixel values around each pixel point in the image, taking a median value to replace the pixel value, and reducing salt and pepper noise and speckle noise.
2-2, dividing the behavior image, namely on the basis of the step 2-1, selecting a dynamic threshold method to divide the behavior image into images, and removing the background image.
2-3, extracting the characteristic of the behavior image, and extracting the characteristic of the behavior image by a human body posture characteristic extraction method and an action characteristic extraction method on the basis of the step 2-2, so as to obtain the angle and the distance of the joint. Meanwhile, the behavior of a person is decomposed into a plurality of action parts, and then each action part is subjected to characteristic extraction, including action cycle, action energy and the like.
2-4, denoising the sound signals, pre-emphasis processing is carried out on the sound on the basis of the step 1-2, and high-pass filtering is carried out on the sound signals so as to emphasize high-frequency components and improve the stability and accuracy of the signals.
2-5, segmenting the sound signal, and dividing the sound signal into a plurality of continuous small segments on the basis of the step 2-4 so as to carry out further processing.
2-6, extracting sound characteristics, and extracting characteristic parameters such as MFCC, power spectral density and the like from the voice signals on the basis of the step 2-5, wherein the characteristic parameters are used as input of subsequent processing.
2-7, detecting the temperature of the object, scanning the object in the public place on the basis of the step 1-3, and recording the temperature data of each position.
And a third step of: detection of abnormal behaviors and hidden dangers in public places
3-1, detecting abnormal behaviors, analyzing human behaviors in public places on the basis of the step 2-3, and comparing acquired data with data on a training set.
3-2, detecting the sound signals, and analyzing the sound characteristics of public places on the basis of the step 2-6, such as analyzing the frequency, wanted reading, harmonic components and the like of the sound signals.
3-3, detecting infrared signals, analyzing the infrared signals in public places on the basis of the step 2-7, processing and analyzing recorded temperature data, searching abnormal temperature values, and judging whether hot spot areas exist or not.
Fourth step: alert and data preservation
4-1, alarming abnormal behaviors, namely alarming in a central control room in time when abnormal behaviors are detected on the basis of the step 3-1, and alarming through a voice system.
4-2, abnormal sound alarming, namely alarming in a central control room in time when abnormal sound is detected on the basis of the step 3-2, and alarming through a voice system.
4-3, alarming abnormal infrared hot spot, and on the basis of the step 3-3, sending out an alarm signal in time when an abnormal hot spot area is detected, and further checking and processing.
4-4, data storage, namely storing the measured data for later analysis and comparison. And (3) on the basis of the steps 4-1, 4-2 and 4-3, additionally storing images, sounds and infrared hot spots of abnormal frequency bands when abnormal conditions occur.
The invention detects the human body behavior characteristics and infrared rays, and can ensure the safety and the comfort of public places such as markets, parks, subway stations and the like; human errors are reduced; the labor, material and time costs are reduced; the efficiency of solving the potential safety hazard is improved;
the abnormal behavior includes, but is not limited to, carrying suspicious articles, making noise, fighting, maliciously destroying, writing with intention, carrying pets, smoking, parking illegally, etc. The user can select corresponding behavior detection in the central control room according to the scene requirement of the user.
The hidden trouble includes but is not limited to fire, safety order, noise, etc. The user can select corresponding behavior detection in the central control room according to the scene requirement of the user.
In summary, while the above-described preferred embodiments have been described, it should be noted that although various changes and modifications can be made by those skilled in the art, it is intended that such changes and modifications be included within the scope of the present invention unless they depart from the scope of the present invention.
Claims (9)
1. The device for detecting the abnormal behavior and hidden danger in the public place is characterized by comprising a sunshade, a camera, an infrared module, an abnormal sound detection module, a processor, a man-machine interaction module, a voice module, an alarm module and a background monitoring module;
the infrared module is arranged on the right side of the camera;
the abnormal sound detection module is arranged at the tail part of the video camera;
the voice module is arranged at the lower end of the camera and in the central control room;
the processor, the background monitoring module, the man-machine interaction module and the alarm module are arranged in a central control room.
2. The device for detecting abnormal behaviors and hidden dangers in public places according to claim 1, wherein the camera is vertically downwards arranged on the supporting foot stool, and an included angle of 60 degrees is formed between the camera and the vertical direction of the supporting foot stool, as shown in the figure A. The wide angle of the camera should be moderate, as shown in figure two.
3. The device for detecting abnormal behaviors and hidden dangers in public places according to claim 1, wherein the man-machine interaction module and the background monitoring module can monitor field pictures, temperatures, decibels and behavior data in real time in a central control room. The abnormal behavior may be selected and a threshold set.
4. The public place abnormal behavior and hidden danger detection device according to claim 1, wherein the voice module can persuade and verbally warn the offender found.
5. The device for detecting abnormal behaviors and hidden dangers in public places according to claim 1, wherein the cameras are all Xenics area array short wave infrared cameras, and an abnormal sound detection module is additionally arranged at the lower ends of the cameras before the cameras are additionally arranged.
6. The device for detecting abnormal behavior and hidden danger in public places according to claim 1, wherein the infrared module detects the temperature of the environment. And when the abnormal data exceeds the threshold value, warning related responsible personnel through the central control room alarm module.
7. The device for detecting abnormal behaviors and hidden dangers in public places according to claim 1, wherein a current target picture shot by the camera device is obtained, the current target picture is input into a processor for abnormal behavior detection and species detection, and the abnormal behavior detection model is updated and selected according to environmental changes;
when the abnormal behavior detection model identifies abnormal behaviors in the current target picture, a central control room alarm module is used for alarming related responsible personnel.
The abnormal behavior comprises, but is not limited to, carrying suspicious articles, making noises, fighting, maliciously destroying, writing with intention, carrying pets, smoking, illegally parking, and the like. Hidden hazards include, but are not limited to, fire, safety order, noise, and the like.
The step of updating the abnormal behavior detection model according to the environment change comprises the following steps: acquiring multi-frame target pictures shot by the camera device in preset time, and acquiring multi-frame training pictures from a training set for last training of the abnormal behavior detection model; and acquiring the abnormal sound detection module, and detecting sound decibels and noisy degree in preset time. A threshold value is set according to the specific environment, and an alarm prompt is generated when the data of the abnormal behavior exceeds the threshold value.
The abnormal behavior can be selected through a central control room. Different abnormal behavior detection types are set according to different scene requirements.
8. An identification system for a captured image, comprising:
a server device having a database storing a plurality of image recognition applications; and a network camera network-linked to the server apparatus.
The server device is provided with:
a field-of-view ratio estimating unit that detects a target from a captured image captured by the network camera; and a candidate application selection unit that selects, from among a plurality of image recognition applications each of which is set with an appropriate field of view ratio, an image recognition application corresponding to the estimated field of view ratio as a candidate application based on the appropriate field of view ratio of each of the image recognition applications and the field of view ratio estimated by the field of view ratio estimation unit, the server device presenting information of the selected candidate application to a user of the network camera, transmitting a program of the candidate application selected by the user to the network camera, the field of view ratio estimation unit extracting a target within the captured image, and estimating the field of view ratio based on a field of view angle of the network camera and a positional relationship between the target and the network camera.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor is implemented when executing the program.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN117475608A (en) * | 2023-12-28 | 2024-01-30 | 云南远信科技有限公司 | Multi-scene security monitoring method based on unmanned aerial vehicle cluster |
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2023
- 2023-04-06 CN CN202310364849.6A patent/CN116403377A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN117409517B (en) * | 2023-10-19 | 2024-05-07 | 光谷技术有限公司 | Voice alarm system and method based on video AI behavior analysis |
| CN117475608A (en) * | 2023-12-28 | 2024-01-30 | 云南远信科技有限公司 | Multi-scene security monitoring method based on unmanned aerial vehicle cluster |
| CN117475608B (en) * | 2023-12-28 | 2024-03-08 | 云南远信科技有限公司 | Multi-scene security monitoring method based on unmanned aerial vehicle cluster |
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