CN110738178A - Garden construction safety detection method and device, computer equipment and storage medium - Google Patents
Garden construction safety detection method and device, computer equipment and storage medium Download PDFInfo
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- CN110738178A CN110738178A CN201910996083.7A CN201910996083A CN110738178A CN 110738178 A CN110738178 A CN 110738178A CN 201910996083 A CN201910996083 A CN 201910996083A CN 110738178 A CN110738178 A CN 110738178A
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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
- G06V40/70—Multimodal biometrics, e.g. combining information from different biometric modalities
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Abstract
The invention discloses types of garden construction safety detection methods, devices, computer equipment and storage media, wherein the method comprises the steps of obtaining images to be detected of a garden construction site collected in real time, identifying personnel images in the images to be detected, carrying out behavior detection on the personnel images, detecting whether illegal behaviors exist in the personnel images, wherein the illegal behaviors refer to behaviors which are predefined and forbidden to be implemented in the garden construction site, obtaining face images in the personnel images when the illegal behaviors are detected, identifying constructors corresponding to the face images, and recording the illegal behaviors corresponding to the constructors.
Description
Technical Field
The invention relates to the technical field of safety detection, in particular to a method and a device for detecting construction safety of types of parks, computer equipment and a storage medium.
Background
The traditional garden safety management mode is usually based on guards, and continuous repeated patrol of safety patrol personnel, and the potential safety hazard is usually caused by the fact that garden workers avoid safety patrol personnel and conduct illegal behaviors, so that disasters occur.
Disclosure of Invention
The invention provides kinds of park construction safety detection methods, devices, computer equipment and storage media, aiming at solving the problem that construction safety cannot be monitored in real time in the prior art.
The aspect of the invention provides a garden construction safety detection method which comprises the steps of obtaining images to be detected of a garden construction site collected in real time, identifying personnel images in the images to be detected, carrying out behavior detection on the personnel images, detecting whether illegal behaviors exist in the personnel images, wherein the illegal behaviors refer to behaviors which are defined in advance and are forbidden to be implemented in the garden construction site, obtaining face images in the personnel images when the illegal behaviors are detected, identifying constructors corresponding to the face images, and recording the illegal behaviors corresponding to the constructors.
Optionally, the image to be detected is set up that the camera of garden job site was gathered, wherein, discernment personnel's image in the image to be detected includes: acquiring video data acquired by the camera in real time; extracting an image of a moving object appearing in the video data; selecting a plurality of images from the extracted images as the images to be detected; identifying a person image of the plurality of images.
Optionally, identifying the constructor corresponding to the face image includes: adopting a face recognition algorithm to recognize the face image to obtain a recognition result; judging whether the identification result is a person in a preset white list or not; and if the persons are persons in the white list, executing a step of recording the violation behaviors corresponding to the constructors.
Optionally, if the person is not a person in the white list, sending a reminding message to a background, wherein the reminding message is used for reminding a user that a stranger enters the park construction site.
Optionally, before determining whether the identification result is a person in a preset white list, the method further includes: generating corresponding examination passing proofs for workers who pass the construction safety examination, and acquiring corresponding photos; adding the workers passing the construction safety assessment into the white list, and uploading the photos to a background database; and removing the workers failing the construction safety assessment from the white list.
Optionally, identifying the constructor corresponding to the face image includes: matching the face image with a face image prestored in a database; calculating the similarity between the face image and the face image in the database; and taking the constructor corresponding to the face image with the highest similarity as the constructor corresponding to the face image, and acquiring the user information of the constructor.
Optionally, after the violation behavior corresponding to the constructor is recorded, the method further includes: counting attribute information of the violation behaviors; and generating a statistical data report of the violation.
The invention also provides a garden construction safety detection device in aspects, which comprises a acquisition module, a recognition module, a detection module, a second acquisition module and a recording module, wherein the acquisition module is used for acquiring images to be detected of a garden construction site acquired in real time, the recognition module is used for recognizing personnel images in the images to be detected, the detection module is used for performing behavior detection on the personnel images and detecting whether illegal behaviors exist in the personnel images, the illegal behaviors refer to behaviors which are predefined and forbidden to be implemented in the garden construction site, the second acquisition module is used for acquiring face images in the personnel images when the illegal behaviors are detected, the second recognition module is used for recognizing constructors corresponding to the face images, and the recording module is used for recording the illegal behaviors corresponding to the constructors.
In another aspect of the invention, there is also provided computer apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method when executing the computer program.
In another aspect of the invention, there is also provided computer readable storage media having stored thereon a computer program which, when executed by a processor, performs the steps of the method.
According to the embodiment of the invention, the real-time performance of construction safety detection is higher, the violation data can be recorded and the labor cost is reduced compared with the manual inspection mode in the prior art by acquiring the image to be detected of the park construction site acquired in real time, identifying the personnel image from the image to be detected, then performing behavior detection, determining the corresponding constructor and recording the violation when the violation is detected.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a diagram of a campus security management system according to an embodiment of the present invention;
FIG. 2 is a flow chart of a park construction safety detection method in an embodiment of the invention;
FIG. 3 is a schematic view of a park construction safety detection apparatus according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a hardware structure of a computer device according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it is to be understood that the described embodiments are partial embodiments, but not all embodiments .
In the description of the present invention, it should be noted that the terms "", "second", "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Before the method of the embodiment of the invention is introduced, application scenes of the embodiment of the invention are introduced, as shown in fig. 1, the park security management system of the embodiment of the invention comprises a front end and a back end, wherein the front end comprises a camera and a park management client, the camera is used for shooting video data of each corner and construction site, the park management client is used for carrying out information input and local content checking operation, the back end comprises an algorithm server, a data server and a headquarter management client, the algorithm server is used for executing functions of image recognition, face recognition, behavior detection and the like, the data server is used for storing and transmitting a visual algorithm to obtain related images, the related images are transmitted to a picture server in a large data stream type processing mode for being displayed by the front end in real time, data obtained by the visual algorithm are obtained in a data warehouse in a stream type processing mode, the latest data obtained by the picture video server is stored in a relational or non-relational database in a data cleaning mode, the data obtained by the picture video server is synchronized to a front end program, and a park security manager can check information through a terminal browser (mobile phone, computer, pad) and other equipment at any time.
Safety assessment of workers is carried out through the system, white list detection is carried out by using non-fit machine vision, strangers timely find out safety management methods such as prevention of entering a park and violation statistics of workers, illegal pictures of the workers in scenes are collected through the services operated at the server side and the terminal camera, and are recorded and stored; processing the pictures through a worker violation detection algorithm operated by the server to obtain a detection result related to the potential safety hazard; and making data statistics and enhancing the safety management of the park.
The embodiment of the invention provides an garden construction safety detection method, which can be executed by a background in the system, and as shown in fig. 2, the method comprises the following steps:
and S101, acquiring a real-time acquired image to be detected of the construction site of the park.
The images to be detected can be acquired in real time by cameras arranged at various positions of a construction site of the park. The image data acquired by the camera is acquired and used as an image to be detected for subsequent monitoring and identification. The cameras of the embodiments of the present invention may be installed at various locations of a construction site, for example, an equipment operating room, the outdoors, etc., for photographing various corners around a building or operators of equipment. And when the constructor does not carry a safety helmet or smoking and other illegal operations, capturing corresponding image data for subsequent detection and identification.
And S102, identifying a person image in the image to be detected.
As described above, the image to be detected is collected by the camera installed on the construction site of the park, and the shot image to be detected often includes a large number of background images, and in this case, the person image needs to be identified from the background images for subsequent judgment. Accordingly, the camera in the embodiment of the present invention may adopt a camera with a built-in tracking algorithm, and the tracking algorithm may identify and control the camera to track and shoot a moving object in the field of view.
As an alternative , in step S102, the identifying the person image in the image to be detected may include:
step S1021, video data acquired by the camera in real time are acquired;
step S1022, extracting an image in which a moving object appears in the video data;
step S1023, selecting a plurality of images from the extracted images as the images to be detected;
and step S1024, identifying the personnel images in the multiple images.
In the embodiment of the invention, the camera can acquire the video data under the field of view of the camera in a non-differential real-time recording mode, and the image of the moving object in the video data is extracted by acquiring the video data shot by the camera. The moving object may be an object whose position changes, or an object whose posture changes, for example, a moving vehicle, a person, or a person whose expression, motion, or posture changes. The process of extracting the moving object is to remove the data which only contains the background image in the video data, so that the data size of subsequent identification can be realized, and the identification speed is improved.
The extracted images of the moving objects are selected from a plurality of images, and the specific selection mode can be set in advance, because the shot video data comprises a large number of images of the similar moving objects, the moving objects do not move too much in 1s, and the shot images are dozens of images, redundancy removal operation is needed, namely, images of a plurality of different moving objects can be selected from the extracted images by using a preset strategy, for the images of the moving objects, corresponding similarity threshold values are set, then preset amount of images before and after the target images and the similarity of the images are calculated, when the similarity is higher than the similarity threshold value, of the images are selected as images to be detected, for example, for the images, the similarity is calculated between the images in 10s (24 images are shot per second), and if the similarity exceeds the similarity threshold value, images are selected.
For the recognition of the personnel image, a human body recognition algorithm can be adopted for recognition, the human body recognition algorithm can be an algorithm model obtained by deep learning neural network technology training, and the specific recognition algorithm is not limited in the embodiment of the invention.
Step S103, performing behavior detection on the personnel image, and detecting whether an illegal behavior exists in the personnel image, wherein the illegal behavior refers to a behavior which is defined in advance and is forbidden to be implemented on the construction site of the park.
For the person image, it is detected whether there is an illegal action therein, such as non-wearing of a safety helmet, smoking, or the like. The behavior detection adopts a preset behavior detection algorithm, and utilizes deep learning and neural network technology to train all defined violation images in advance to obtain a behavior detection algorithm model for behavior detection. Specifically, a large amount of image data of illegal behaviors are extracted to serve as training samples, the constructed neural network model is trained, and when the preset recognition accuracy is achieved, a final algorithm model is formed.
And step S104, when the illegal behavior is detected, acquiring a face image in the personnel image.
When the violation behavior is identified, the identity of the person needs to be identified, and therefore, the face image in the person image needs to be acquired for subsequent face identification to determine the identity information of the person. Because the person image may have a face or no face, when there is a face, the person image can be directly intercepted from the person image; if no face exists or the face is incomplete, a clear face image can be found from other similar images (such as the redundancy-removed image).
And step S105, identifying constructors corresponding to the face images.
And step S106, recording the violation behaviors corresponding to the constructors.
And for the acquired face image, identifying by adopting a face identification algorithm, determining corresponding constructors, namely determining the identities of the corresponding constructors, and then recording corresponding violation behaviors. Recording violations includes: the place of occurrence, time of occurrence, and the violation itself are recorded.
According to the embodiment of the invention, the real-time performance of construction safety detection is higher, the violation data can be recorded and the labor cost is reduced compared with the manual inspection mode in the prior art by acquiring the image to be detected of the park construction site acquired in real time, identifying the personnel image from the image to be detected, then performing behavior detection, determining the corresponding constructor and recording the violation when the violation is detected.
As optional implementation manners of the embodiment of the present invention, in step S105, the identifying the constructor corresponding to the face image includes:
s1051, adopting a face recognition algorithm to recognize the face image to obtain a recognition result;
s1052, judging whether the identification result is a person in a preset white list or not;
s1053, if the person is in the white list, executing the step of recording the violation behavior corresponding to the constructor; and if the person is not the person in the white list, sending a reminding message to a background, wherein the reminding message is used for reminding a user that a stranger enters the construction site of the park.
In the embodiment of the invention, the face recognition algorithm can also be an algorithm model obtained by deep learning and neural network technology training, and the specific algorithm is not limited. And (3) adopting a face recognition algorithm to recognize the identity of the person in the face image, then judging whether the person is a person in a white list, and if the person is in the white list, executing subsequent steps, such as recording illegal behaviors. If the person is not in the white list, the person is possible to enter illegally, and a reminding message is sent to a background to remind corresponding staff.
In the embodiment of the invention, the uncooperative human face detection is adopted, the dynamic identification is based on the video stream, the whole detection process is not required to be actively matched by others, and the human face identification can be quickly and accurately realized by normal walking. By setting the white list, idle and miscellaneous personnel who illegally enter can be detected, and the safety of a construction site is improved.
optionally, before determining whether the identification result is a person in a preset white list, the embodiment of the present invention further includes generating a corresponding examination pass certificate for a worker who passes the construction safety examination, and acquiring a corresponding photo, adding the worker who passes the construction safety examination to the white list, uploading the photo to a background database, and removing the worker who fails the construction safety examination from the white list.
In the embodiment of the invention, the constructors also need to be subjected to unscheduled examination, the construction safety examination is added into the white list after passing the relevant construction safety examination, and the construction safety examination is removed from the white list if the construction safety examination is not passed, namely, the construction safety examination cannot enter the construction site. And uploading the picture of the user when the user passes the examination for subsequent identification and comparison, wherein the uploaded picture can be a picture on an identity card or a picture collected on the spot.
Specifically, the system administrator checks the persons who pass the safety assessment, the persons are defaulted to be the identity card photos, in addition, the recent photos can be uploaded and modified to be used as a base library, and the persons who pass the security assessment are modified to be white lists. If the original white list person fails to pass the safety assessment in the next assessment, the system automatically removes the person from the white list. Workers with unqualified assessment states cannot be added into the white list.
The acquisition area has trailing or other faces which are not in the white list; and recording the day; meanwhile, a stranger reminding message is sent to the management system through the Internet of things module; and a mail or a short message can be set to inform a manager to follow up in time and prevent strangers from entering, so that safety accidents are avoided.
As optional implementation manners, identifying the constructor corresponding to the face image in the embodiment of the present invention may include matching the face image with a face image pre-stored in a database, calculating a similarity between the face image and the face image in the database, and taking the constructor corresponding to the face image with the highest similarity as the constructor corresponding to the face image to obtain user information of the constructor.
In this embodiment, the similarity between the obtained face image and the database image is directly calculated, then the face image and the database image are sorted, and the identity information corresponding to the face with the highest similarity is used as the identity of the constructor.
According to optional implementation manners of the embodiment of the invention, after recording the violation behaviors corresponding to the constructors, the method further comprises the steps of counting attribute information of the violation behaviors and generating a statistical data report of the violation behaviors.
And counting the times of smoking and not wearing the safety helmet at workers and monitoring points so as to assist managers in managing construction parties. And generating a statistical data report. The statistics of different violation times of construction sites is carried out to assist managers to urge the construction party to rectify and reform.
The embodiment of the present invention further provides types of device for detecting the construction safety of the garden, which can be used to execute the method of the above embodiment, as shown in fig. 3, the device includes:
an acquisition module 301, configured to acquire an image to be detected of a park construction site acquired in real time;
, an identifying module 302 for identifying a person image in the image to be detected;
the detection module 303 is configured to perform behavior detection on the person image, and detect whether an illegal behavior exists in the person image, where the illegal behavior is a behavior that is predefined and prohibited to be implemented on the construction site of the park;
a second obtaining module 304, configured to obtain a face image in the person image when the violation behavior is detected to exist;
the second recognition module 305 is used for recognizing constructors corresponding to the face images;
and the recording module 306 is used for recording the violation behaviors corresponding to the constructors.
According to the embodiment of the invention, the real-time performance of construction safety detection is higher, the violation data can be recorded and the labor cost is reduced compared with the manual inspection mode in the prior art by acquiring the image to be detected of the park construction site acquired in real time, identifying the personnel image from the image to be detected, then performing behavior detection, determining the corresponding constructor and recording the violation when the violation is detected.
For specific description, reference is made to the above method embodiments, which are not described herein again.
types of computer devices are also provided in the embodiment, such as a desktop computer, a rack server, a blade server, a tower server, or a rack server (including a stand-alone server or a server cluster composed of multiple servers) capable of executing programs, etc. the computer device 20 of the embodiment at least includes, but is not limited to, a memory 21 and a processor 22, which are communicatively connected to each other via a system bus, as shown in fig. 4.
In this embodiment, the memory 21 (i.e., readable storage medium) includes a Flash memory, a hard disk, a multimedia Card, a Card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, etc. in embodiments, the memory 21 may be an internal storage unit of the computer device 20, such as a hard disk or a memory of the computer device 20. in embodiments, the memory 21 may also be an external storage device of the computer device 20, such as a plug-in hard disk provided on the computer device 20, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Card), etc. of course, the memory 21 may include both an internal storage unit of the computer device 20 and an external storage unit thereof. in this embodiment, the memory 21 is generally used to store operating systems and application software installed on the computer device 20, such as an application software, and may be used to temporarily store various types of data, such as a construction site, and to output various types of data.
The processor 22 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data Processing chip in embodiments, the processor 22 is generally configured to control the overall operation of the computer device 20. in this embodiment, the processor 22 is configured to execute program code stored in the memory 21 or to process data, such as to execute a campus construction safety monitoring apparatus, to implement the campus construction safety monitoring method of the embodiment.
The present embodiment also provides computer-readable storage media, such as flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), Random Access Memory (RAM), Static Random Access Memory (SRAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), Programmable Read Only Memory (PROM), magnetic memory, magnetic disk, optical disk, server, App application mall, etc., on which computer programs are stored, which when executed by a processor implement corresponding functions.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications of this invention are intended to be covered by the present application.
Claims (10)
1, kind of garden construction safety detection method, its characterized in that, includes:
acquiring a real-time acquired image to be detected of a park construction site;
identifying a person image in the image to be detected;
performing behavior detection on the personnel image, and detecting whether an illegal behavior exists in the personnel image, wherein the illegal behavior is a behavior which is defined in advance and is forbidden to be implemented on the construction site of the park;
when the illegal behavior is detected to exist, acquiring a face image in the personnel image;
identifying constructors corresponding to the face images;
and recording the corresponding violation behaviors of the constructors.
2. The campus construction safety inspection method according to claim 1, wherein the image to be inspected is acquired by a camera provided at the campus construction site, wherein identifying the person image in the image to be inspected comprises:
acquiring video data acquired by the camera in real time;
extracting an image of a moving object appearing in the video data;
selecting a plurality of images from the extracted images as the images to be detected;
identifying a person image of the plurality of images.
3. The park construction safety detection method according to claim 1 or 2, characterized in that identifying constructors corresponding to the face images comprises:
adopting a face recognition algorithm to recognize the face image to obtain a recognition result;
judging whether the identification result is a person in a preset white list or not;
and if the persons are persons in the white list, executing a step of recording the violation behaviors corresponding to the constructors.
4. The park construction safety detection method according to claim 3,
and if the person is not the person in the white list, sending a reminding message to a background, wherein the reminding message is used for reminding a user that a stranger enters the construction site of the park.
5. The park construction safety detection method according to claim 3, before judging whether the identification result is a person in a preset white list, further comprising:
generating corresponding examination passing proofs for workers who pass the construction safety examination, and acquiring corresponding photos;
adding the workers passing the construction safety assessment into the white list, and uploading the photos to a background database;
and removing the workers failing the construction safety assessment from the white list.
6. The park construction safety detection method according to claim 3, wherein identifying constructors corresponding to the face images comprises:
matching the face image with a face image prestored in a database;
calculating the similarity between the face image and the face image in the database;
and taking the constructor corresponding to the face image with the highest similarity as the constructor corresponding to the face image, and acquiring the user information of the constructor.
7. The park construction safety detection method according to claim 3, after recording the violation corresponding to the constructor, further comprising:
counting attribute information of the violation behaviors;
and generating a statistical data report of the violation.
8, kind of garden construction safety inspection device, its characterized in that includes:
an acquisition module, which is used for acquiring real-time acquired images to be detected of the construction site of the park;
an recognition module for recognizing images of persons in the image to be detected;
the detection module is used for carrying out behavior detection on the personnel image and detecting whether an illegal behavior exists in the personnel image, wherein the illegal behavior refers to a behavior which is defined in advance and is forbidden to be implemented on the construction site of the park;
the second acquisition module is used for acquiring a face image in the personnel image when the violation behavior is detected;
the second identification module is used for identifying constructors corresponding to the face images;
and the recording module is used for recording the violation behaviors corresponding to the constructors.
Computer device of claim 9, , comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of any of claims 1 to 7 through when executing the computer program.
A computer-readable storage medium , having a computer program stored thereon, characterized in that the computer program, when being executed by a processor, carries out the steps of the method of any of claims 1 to 7 through .
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