CN110772803A - Adult detection method based on cloud processing - Google Patents
Adult detection method based on cloud processing Download PDFInfo
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- CN110772803A CN110772803A CN201810850880.XA CN201810850880A CN110772803A CN 110772803 A CN110772803 A CN 110772803A CN 201810850880 A CN201810850880 A CN 201810850880A CN 110772803 A CN110772803 A CN 110772803A
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63G—MERRY-GO-ROUNDS; SWINGS; ROCKING-HORSES; CHUTES; SWITCHBACKS; SIMILAR DEVICES FOR PUBLIC AMUSEMENT
- A63G31/00—Amusement arrangements
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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 relates to a cloud processing-based adult detection method, which comprises the step of detecting an adult by using a cloud processing-based adult detection platform, wherein the cloud processing-based adult detection platform comprises the following steps: the air cushion is arranged on the ground below the bungee jumping equipment and is in an uninflated state in a default state; the inflation pump is connected with the air cushion and is used for inflating the air cushion; the real-time acquisition equipment is arranged above the bungee equipment and is used for acquiring high-definition image data of the position where the bungee equipment is located so as to obtain and output a real-time acquisition image; the cloud processing equipment is used for identifying whether each pixel point in the fitted image belongs to a face pixel point or not based on a preset face gray upper limit threshold and a preset face gray lower limit threshold, combining each face pixel point in the fitted image obtained through identification to obtain a face sub-image, and performing characteristic analysis on the face sub-image to judge whether a human body target corresponding to the face sub-image is an adult target or not.
Description
Technical Field
The invention relates to the field of cloud processing, in particular to an adult detection method based on cloud processing.
Background
Under the condition of no shutdown of cloud processing, nodes are added, and the processing capacity of the platform is automatically increased; the nodes are reduced, and the processing capacity of the platform is automatically reduced. Therefore, seamless connection with the resource pool can be achieved, resources are dynamically applied or released according to the calculation and storage tasks, and the resource utilization rate is improved to the maximum extent.
A cloud computing platform is constructed by adopting an X86 architecture cheap computer, and hardware fault tolerance is replaced by software fault tolerance, so that the cost is greatly saved. Under the conditions of target performance and reliability, the cost can be saved by about 10 times compared with the traditional small machine and commercial database scheme.
Disclosure of Invention
When the cloud processing equipment judges that a human body target corresponding to a bungee field image is not an adult target, the inflator pump is turned on to realize the inflation action of the air cushion so as to increase the protection force on minors; and the superposition number of the filtering windows for filtering processing is determined based on the detection result of the number of the bright lines of the image, so that the self-adaptive capacity of the image filtering processing is improved.
According to an aspect of the present invention, there is provided a cloud processing-based adult detection method, the method comprising detecting an adult using a cloud processing-based adult detection platform, the cloud processing-based adult detection platform comprising: the air cushion is arranged on the ground below the bungee jumping equipment and is in an uninflated state in a default state; and the inflating pump is connected with the air cushion and is used for inflating the air cushion.
More specifically, in the adult detection platform based on cloud processing, further comprising:
and the real-time acquisition equipment is arranged above the bungee equipment and used for acquiring high-definition image data of the position of the bungee equipment so as to obtain and output a real-time acquisition image.
More specifically, in the adult detection platform based on cloud processing, further comprising:
bungee device, including the serving drum, bind the rope body, rope body releaser, tension detector and DC power supply, bind the rope body and be used for binding bungee personnel shank, tension detector sets up bind the rope body the position of bungee personnel shank is used for binding the position of bungee personnel shank carries out real-time tension measurement to binding the rope body the position of bungee personnel shank to obtain real-time rope body pulling force, the bungee personnel shank is binded to the one end of binding the rope body, the other end convolute on the serving drum after with rope body releaser is connected, DC power supply with rope body releaser is connected, is used for rope body releaser provides the power supply, tension detector passes through lithium cell power supply.
More specifically, in the adult detection platform based on cloud processing, further comprising:
the auxiliary lighting equipment is arranged above the bungee equipment and used for detecting the ambient brightness of the position where the bungee equipment is located so as to determine whether to perform auxiliary lighting action on the position where the bungee equipment is located or not based on the ambient brightness; the auxiliary lighting device includes an LED lighting sub-device, a light amount measuring sub-device, and a light emission controlling sub-device; the noise extraction equipment is connected with the real-time acquisition equipment and is used for receiving the real-time acquired image and extracting bright lines in the real-time acquired image one by one to obtain the number of the bright lines in the real-time acquired image; the window overlapping equipment is connected with the noise extraction equipment and used for receiving the bright line number and determining the overlapping number of the filtering windows for executing filtering based on the bright line number, wherein the more the bright line number is, the more the overlapping number of the filtering windows for executing filtering is determined to be, each overlapped filtering window is rectangular in shape, and the width of the rectangle is 1 pixel point; the pixel selection equipment is respectively connected with the noise extraction equipment and the window superposition equipment and is used for acquiring each pixel value of each nearby pixel point of each pixel point of the real-time acquired image based on the shape of the superposed filtering window and determining whether each nearby pixel point is positioned on the bright line extracted by the noise extraction equipment so as to remove one or more nearby pixel points positioned on the bright line from each nearby pixel point of each pixel point of the real-time acquired image to obtain each residual pixel point; the multi-window filtering device is connected with the pixel selection device and used for taking each pixel point of the real-time collected image as a filtering pixel point and performing weighted average calculation on each pixel value of each residual pixel point corresponding to the filtering pixel point to obtain a replacement pixel value of the filtering pixel point, wherein the step of performing weighted average calculation on each pixel value of each residual pixel point corresponding to the filtering pixel point comprises the following steps: the longer the distance from the residual pixel points to the filtering pixel points is, the smaller the weighted value used by the residual pixel points is; the image fitting equipment is connected with the multi-window filtering equipment and used for fitting a corresponding fitted image based on the replacement pixel values of all filtering pixel points of the real-time collected image; the power supply equipment is respectively connected with the noise extraction equipment, the window superposition equipment, the pixel selection equipment, the multi-window filtering equipment and the image fitting equipment, and is used for interrupting the power supply to the window superposition equipment, the pixel selection equipment and the multi-window filtering equipment when the number of bright lines output by the noise extraction equipment is zero, and directly outputting a real-time acquisition image in the noise extraction equipment to the image fitting equipment to be output as a fitted image; the cloud processing equipment is connected with the image fitting equipment and used for receiving the fitted image, identifying whether each pixel point in the fitted image belongs to a face pixel point or not based on a preset upper face gray threshold and a preset lower face gray threshold, combining each face pixel point in the fitted image obtained through identification to obtain a face sub-image, and performing feature analysis on the face sub-image to judge whether a human body target corresponding to the face sub-image is an adult target or not; the air cushion control switch is respectively connected with the cloud processing equipment and the inflator pump and is used for turning on the inflator pump to realize the action of inflating the air cushion when the cloud processing equipment judges that the human body target corresponding to the face sub-image is not an adult target; and the cloud processing equipment sends an adult identification instruction when judging that the human body target corresponding to the face sub-image is an adult target.
More specifically, in the cloud processing-based adult detection platform: the power supply device is further configured to resume power supply to the window superimposing device, the pixel selecting device, and the multi-window filtering device when the number of bright lines output by the noise extracting device is non-zero.
More specifically, in the cloud processing-based adult detection platform: and the cloud processing equipment sends a non-adult identification instruction when judging that the human body target corresponding to the face sub-image is not an adult target.
More specifically, in the cloud processing-based adult detection platform: in the auxiliary lighting device, the light emission control sub-device is connected to the LED lighting sub-device and the light amount measurement sub-device, respectively.
More specifically, in the cloud processing-based adult detection platform: in the auxiliary lighting apparatus, the light quantity measuring sub-apparatus is configured to detect an ambient brightness at a location where the bungee device is located.
More specifically, in the cloud processing-based adult detection platform: in the auxiliary lighting device, determining whether to perform an auxiliary lighting action on a location where a bungee device is located based on the ambient brightness comprises: and when the ambient brightness of the position of the bungee jumping equipment is less than or equal to a preset brightness threshold value, triggering the LED lighting sub-equipment to perform auxiliary lighting action on the position of the bungee jumping equipment.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic structural diagram of a cylinder holder of an adult detection platform based on cloud processing according to an embodiment of the invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The cloud processing adopts a NoSQL + relational database mixed mode, most mass data are stored in a distributed platform and are subjected to distributed processing, and a small amount of data with high real-time requirements are stored in a relational database, so that various types of services can be supported. The method not only supports inquiry, statistics and analysis services, but also supports deep data mining and business intelligent analysis services.
In order to overcome the defects, the invention builds an adult detection method based on cloud processing, and the method comprises the step of detecting an adult by using an adult detection platform based on cloud processing. The adult detection platform based on cloud processing can effectively solve corresponding technical problems.
An adult detection platform based on cloud processing according to an embodiment of the invention comprises:
the air cushion is arranged on the ground below the bungee jumping equipment and is in an uninflated state in a default state;
and the inflating pump is connected with the air cushion and is used for inflating the air cushion.
Next, the detailed structure of the cloud processing-based adult detection platform of the present invention will be further described.
In the adult detection platform based on cloud processing, further comprising:
and the real-time acquisition equipment is arranged above the bungee equipment and used for acquiring high-definition image data of the position of the bungee equipment so as to obtain and output a real-time acquisition image.
In the adult detection platform based on cloud processing, further comprising:
a cylinder holder for holding a rope drum, as shown in fig. 1;
bungee device, including the serving drum, bind the rope body, rope body releaser, tension detector and DC power supply, bind the rope body and be used for binding bungee personnel shank, tension detector sets up bind the rope body the position of bungee personnel shank is used for binding the position of bungee personnel shank carries out real-time tension measurement to binding the rope body the position of bungee personnel shank to obtain real-time rope body pulling force, the bungee personnel shank is binded to the one end of binding the rope body, the other end convolute on the serving drum after with rope body releaser is connected, DC power supply with rope body releaser is connected, is used for rope body releaser provides the power supply, tension detector passes through lithium cell power supply.
In the adult detection platform based on cloud processing, further comprising:
the auxiliary lighting equipment is arranged above the bungee equipment and used for detecting the ambient brightness of the position where the bungee equipment is located so as to determine whether to perform auxiliary lighting action on the position where the bungee equipment is located or not based on the ambient brightness; the auxiliary lighting device includes an LED lighting sub-device, a light amount measuring sub-device, and a light emission controlling sub-device;
the noise extraction equipment is connected with the real-time acquisition equipment and is used for receiving the real-time acquired image and extracting bright lines in the real-time acquired image one by one to obtain the number of the bright lines in the real-time acquired image;
the window overlapping equipment is connected with the noise extraction equipment and used for receiving the bright line number and determining the overlapping number of the filtering windows for executing filtering based on the bright line number, wherein the more the bright line number is, the more the overlapping number of the filtering windows for executing filtering is determined to be, each overlapped filtering window is rectangular in shape, and the width of the rectangle is 1 pixel point;
the pixel selection equipment is respectively connected with the noise extraction equipment and the window superposition equipment and is used for acquiring each pixel value of each nearby pixel point of each pixel point of the real-time acquired image based on the shape of the superposed filtering window and determining whether each nearby pixel point is positioned on the bright line extracted by the noise extraction equipment so as to remove one or more nearby pixel points positioned on the bright line from each nearby pixel point of each pixel point of the real-time acquired image to obtain each residual pixel point;
the multi-window filtering device is connected with the pixel selection device and used for taking each pixel point of the real-time collected image as a filtering pixel point and performing weighted average calculation on each pixel value of each residual pixel point corresponding to the filtering pixel point to obtain a replacement pixel value of the filtering pixel point, wherein the step of performing weighted average calculation on each pixel value of each residual pixel point corresponding to the filtering pixel point comprises the following steps: the longer the distance from the residual pixel points to the filtering pixel points is, the smaller the weighted value used by the residual pixel points is;
the image fitting equipment is connected with the multi-window filtering equipment and used for fitting a corresponding fitted image based on the replacement pixel values of all filtering pixel points of the real-time collected image;
the power supply equipment is respectively connected with the noise extraction equipment, the window superposition equipment, the pixel selection equipment, the multi-window filtering equipment and the image fitting equipment, and is used for interrupting the power supply to the window superposition equipment, the pixel selection equipment and the multi-window filtering equipment when the number of bright lines output by the noise extraction equipment is zero, and directly outputting a real-time acquisition image in the noise extraction equipment to the image fitting equipment to be output as a fitted image;
the cloud processing equipment is connected with the image fitting equipment and used for receiving the fitted image, identifying whether each pixel point in the fitted image belongs to a face pixel point or not based on a preset upper face gray threshold and a preset lower face gray threshold, combining each face pixel point in the fitted image obtained through identification to obtain a face sub-image, and performing feature analysis on the face sub-image to judge whether a human body target corresponding to the face sub-image is an adult target or not;
the air cushion control switch is respectively connected with the cloud processing equipment and the inflator pump and is used for turning on the inflator pump to realize the action of inflating the air cushion when the cloud processing equipment judges that the human body target corresponding to the face sub-image is not an adult target;
and the cloud processing equipment sends an adult identification instruction when judging that the human body target corresponding to the face sub-image is an adult target.
In the cloud processing-based adult detection platform: the power supply device is further configured to resume power supply to the window superimposing device, the pixel selecting device, and the multi-window filtering device when the number of bright lines output by the noise extracting device is non-zero.
In the cloud processing-based adult detection platform: and the cloud processing equipment sends a non-adult identification instruction when judging that the human body target corresponding to the face sub-image is not an adult target.
In the cloud processing-based adult detection platform: in the auxiliary lighting device, the light emission control sub-device is connected to the LED lighting sub-device and the light amount measurement sub-device, respectively.
In the cloud processing-based adult detection platform: in the auxiliary lighting apparatus, the light quantity measuring sub-apparatus is configured to detect an ambient brightness at a location where the bungee device is located.
In the cloud processing-based adult detection platform: in the auxiliary lighting device, determining whether to perform an auxiliary lighting action on a location where a bungee device is located based on the ambient brightness comprises: and when the ambient brightness of the position of the bungee jumping equipment is less than or equal to a preset brightness threshold value, triggering the LED lighting sub-equipment to perform auxiliary lighting action on the position of the bungee jumping equipment.
In addition, in the multi-window filtering device, image filtering, namely, suppressing the noise of the target image under the condition of keeping the detail features of the image as much as possible, is an indispensable operation in image preprocessing, and the effectiveness and reliability of subsequent image processing and analysis are directly affected by the quality of the processing effect.
Due to the imperfections of the imaging system, the transmission medium, and the recording device, the digital images are often contaminated by various noises during the formation, transmission, and recording processes thereof. In addition, noise may also be introduced into the resulting image at some point in the image processing when the input image object is not as expected. These noises often appear as an isolated pixel or block of pixels on the image that causes a strong visual effect. In general, the noise signal is not correlated with the object to be studied-it appears in the form of useless information, disturbing the observable information of the image. For digital image signals, the noise table is more or less extreme values, and the extreme values act on the real gray values of image pixels through addition and subtraction to cause bright and dark point interference on the image, so that the image quality is greatly reduced, and the follow-up work of image restoration, segmentation, feature extraction, image identification and the like is influenced. Two basic issues must be considered to construct an effective noise suppression filter: the noise in the target and the background can be effectively removed; meanwhile, the shape, the size and the specific geometric and topological structure characteristics of the image target can be well protected.
One of the commonly used image filtering modes is a non-linear filter, generally speaking, when the signal spectrum and the noise spectrum are mixed or when the signal contains non-superimposed noise, such as noise caused by system nonlinearity or the presence of non-gaussian noise, etc.), the conventional linear filtering techniques, such as fourier transform, while filtering out noise, always blur the image details (such as edges, etc.) in some way, thereby causing the positioning accuracy of the image linear features and the extractability of the features to be reduced. The nonlinear filter is based on a nonlinear mapping relation of an input signal, a specific noise can be mapped to be zero approximately, the main characteristic of the signal is reserved, and therefore the nonlinear filter can overcome the defects of the linear filter to a certain extent.
By adopting the adult detection platform based on cloud processing, aiming at the technical problem of limited protection capability of a bungee field in the prior art, when the cloud processing equipment judges that a human body target corresponding to a bungee field image is not an adult target, the inflator pump is turned on to realize the action of inflating an air cushion so as to increase the protection force on minors; and determining the superposition number of filtering windows for filtering processing based on the detection result of the number of bright lines of the image, thereby improving the self-adaptive capacity of the image filtering processing and solving the technical problem.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (9)
1. A cloud processing-based adult detection method comprising detecting an adult using a cloud processing-based adult detection platform, wherein the cloud processing-based adult detection platform comprises:
the air cushion is arranged on the ground below the bungee jumping equipment and is in an uninflated state in a default state;
and the inflating pump is connected with the air cushion and is used for inflating the air cushion.
2. The method of claim 2, wherein the platform further comprises:
and the real-time acquisition equipment is arranged above the bungee equipment and used for acquiring high-definition image data of the position of the bungee equipment so as to obtain and output a real-time acquisition image.
3. The method of claim 2, wherein the platform further comprises:
bungee device, including the serving drum, bind the rope body, rope body releaser, tension detector and DC power supply, bind the rope body and be used for binding bungee personnel shank, tension detector sets up bind the rope body the position of bungee personnel shank is used for binding the position of bungee personnel shank carries out real-time tension measurement to binding the rope body the position of bungee personnel shank to obtain real-time rope body pulling force, the bungee personnel shank is binded to the one end of binding the rope body, the other end convolute on the serving drum after with rope body releaser is connected, DC power supply with rope body releaser is connected, is used for rope body releaser provides the power supply, tension detector passes through lithium cell power supply.
4. The method of claim 3, wherein the platform further comprises:
the auxiliary lighting equipment is arranged above the bungee equipment and used for detecting the ambient brightness of the position where the bungee equipment is located so as to determine whether to perform auxiliary lighting action on the position where the bungee equipment is located or not based on the ambient brightness; the auxiliary lighting device includes an LED lighting sub-device, a light amount measuring sub-device, and a light emission controlling sub-device;
the noise extraction equipment is connected with the real-time acquisition equipment and is used for receiving the real-time acquired image and extracting bright lines in the real-time acquired image one by one to obtain the number of the bright lines in the real-time acquired image;
the window overlapping equipment is connected with the noise extraction equipment and used for receiving the bright line number and determining the overlapping number of the filtering windows for executing filtering based on the bright line number, wherein the more the bright line number is, the more the overlapping number of the filtering windows for executing filtering is determined to be, each overlapped filtering window is rectangular in shape, and the width of the rectangle is 1 pixel point;
the pixel selection equipment is respectively connected with the noise extraction equipment and the window superposition equipment and is used for acquiring each pixel value of each nearby pixel point of each pixel point of the real-time acquired image based on the shape of the superposed filtering window and determining whether each nearby pixel point is positioned on the bright line extracted by the noise extraction equipment so as to remove one or more nearby pixel points positioned on the bright line from each nearby pixel point of each pixel point of the real-time acquired image to obtain each residual pixel point;
the multi-window filtering device is connected with the pixel selection device and used for taking each pixel point of the real-time collected image as a filtering pixel point and performing weighted average calculation on each pixel value of each residual pixel point corresponding to the filtering pixel point to obtain a replacement pixel value of the filtering pixel point, wherein the step of performing weighted average calculation on each pixel value of each residual pixel point corresponding to the filtering pixel point comprises the following steps: the longer the distance from the residual pixel points to the filtering pixel points is, the smaller the weighted value used by the residual pixel points is;
the image fitting equipment is connected with the multi-window filtering equipment and used for fitting a corresponding fitted image based on the replacement pixel values of all filtering pixel points of the real-time collected image;
the power supply equipment is respectively connected with the noise extraction equipment, the window superposition equipment, the pixel selection equipment, the multi-window filtering equipment and the image fitting equipment, and is used for interrupting the power supply to the window superposition equipment, the pixel selection equipment and the multi-window filtering equipment when the number of bright lines output by the noise extraction equipment is zero, and directly outputting a real-time acquisition image in the noise extraction equipment to the image fitting equipment to be output as a fitted image;
the cloud processing equipment is connected with the image fitting equipment and used for receiving the fitted image, identifying whether each pixel point in the fitted image belongs to a face pixel point or not based on a preset upper face gray threshold and a preset lower face gray threshold, combining each face pixel point in the fitted image obtained through identification to obtain a face sub-image, and performing feature analysis on the face sub-image to judge whether a human body target corresponding to the face sub-image is an adult target or not;
the air cushion control switch is respectively connected with the cloud processing equipment and the inflator pump and is used for turning on the inflator pump to realize the action of inflating the air cushion when the cloud processing equipment judges that the human body target corresponding to the face sub-image is not an adult target;
and the cloud processing equipment sends an adult identification instruction when judging that the human body target corresponding to the face sub-image is an adult target.
5. The method of claim 4, wherein:
the power supply device is further configured to resume power supply to the window superimposing device, the pixel selecting device, and the multi-window filtering device when the number of bright lines output by the noise extracting device is non-zero.
6. The method of claim 5, wherein:
and the cloud processing equipment sends a non-adult identification instruction when judging that the human body target corresponding to the face sub-image is not an adult target.
7. The method of claim 6, wherein:
in the auxiliary lighting device, the light emission control sub-device is connected to the LED lighting sub-device and the light amount measurement sub-device, respectively.
8. The method of claim 7, wherein:
in the auxiliary lighting apparatus, the light quantity measuring sub-apparatus is configured to detect an ambient brightness at a location where the bungee device is located.
9. The method of any of claims 4-8, wherein:
in the auxiliary lighting device, determining whether to perform an auxiliary lighting action on a location where a bungee device is located based on the ambient brightness comprises: and when the ambient brightness of the position of the bungee jumping equipment is less than or equal to a preset brightness threshold value, triggering the LED lighting sub-equipment to perform auxiliary lighting action on the position of the bungee jumping equipment.
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| CN110772803B (en) | 2021-01-29 |
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