CN110991212B - Instant authentication system based on network transmission - Google Patents

Instant authentication system based on network transmission Download PDF

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CN110991212B
CN110991212B CN201910238233.8A CN201910238233A CN110991212B CN 110991212 B CN110991212 B CN 110991212B CN 201910238233 A CN201910238233 A CN 201910238233A CN 110991212 B CN110991212 B CN 110991212B
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image
human body
area
luggage
equipment
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CN110991212A (en
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张霞
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Ganzhou rising Network Technology Co., Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/20Scenes; Scene-specific elements in augmented reality scenes
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources

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  • Multimedia (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Signal Processing (AREA)
  • Image Analysis (AREA)

Abstract

The invention relates to an instant authentication system based on network transmission, comprising: the first identification equipment is used for identifying each human body area where each human body target is respectively located in the real-time correction image based on the human body imaging characteristics; the second identification equipment is used for identifying each baggage area where each baggage target is respectively located in the real-time correction image based on the baggage imaging characteristics; a distance detection device for performing the following actions for each baggage area: and carrying out contour analysis on the human body area closest to the human body area to obtain the human body number corresponding to the human body area. The instant authentication system based on network transmission has compact design and convenient operation. Due to the fact that a network authentication mode is adopted, each piece of luggage and the nearest human body in the customized processing image are authenticated respectively to determine whether the luggage and the nearest human body are in a binding relationship, and further whether a luggage taking action by mistake exists is judged, and therefore the airborne luggage is prevented from being lost.

Description

Instant authentication system based on network transmission
Technical Field
The invention relates to the field of network transmission, in particular to an instant authentication system based on network transmission.
Background
Network transmission refers to the process of communicating according to a network transmission protocol with a series of lines (optical fibers, twisted pair, etc.) through a circuit's adjustment changes. The network transmission requires a medium, i.e. a physical path between a sender and a receiver in the network, which has a certain influence on the data communication of the network. Common transmission media are: twisted pair, coaxial cable, fiber optics, and wireless transmission media. Network protocols are some specifications for the transfer, management, of information in networks, including the internet.
As well as the need for human-to-human interaction to comply with certain rules, the need for computers to communicate with each other is commonly followed by certain rules, which are called network protocols. Network protocols are typically divided into several levels, and two communicating parties can only communicate with each other at a common level.
Disclosure of Invention
The present invention needs to have at least the following three important points:
(1) the method comprises the steps of adopting a network authentication mode to authenticate each piece of luggage and the nearest human body in a customized processing image respectively so as to determine whether the luggage and the nearest human body are in a binding relationship, and further judging whether a luggage taking action by mistake exists or not, so that the loss of airborne luggage is prevented;
(2) on the basis of bilinear interpolation, the numerical judgment of the monotonicity parameter of the background image is carried out according to the repetition degree of each blue component value of each pixel point in the background image, so that the efficiency and the speed of the numerical judgment of the monotonicity parameter of the background image are improved;
(3) and selecting smooth space filtering equipment or statistical sorting filtering equipment to perform filtering processing according to different numerical values of the monotonicity parameters of the image to be processed so as to obtain image data with higher filtering quality.
According to an aspect of the present invention, there is provided an instant authentication system based on network transmission, the system comprising:
the first identification equipment is connected with the geometric correction equipment and used for identifying each human body area where each human body target is respectively located in the real-time correction image based on the human body imaging characteristics;
the second identification device is connected with the geometric correction device and used for identifying each luggage area where each luggage target is respectively located in the real-time correction image based on the luggage imaging characteristics;
the distance detection equipment is respectively connected with the first identification equipment and the second identification equipment and used for carrying out the following actions on each luggage area: carrying out contour analysis on the human body area closest to the human body area to obtain a human body number corresponding to the human body area;
the distance detection device is further used for performing contour analysis on each baggage area to obtain a baggage number corresponding to each baggage area;
the distance detection device is further configured to perform the following for each baggage area: when the luggage number corresponding to the luggage area is not matched with the human body number corresponding to the human body area closest to the luggage area, sending a reminding instruction of taking the luggage by mistake;
the network transmission equipment is connected with the distance detection equipment and is also connected with background database equipment through a mobile communication network, and the background database stores the pre-shot image and the corresponding human body number of each passenger arriving at the current shift and also stores the pre-shot image and the corresponding luggage number of each luggage arriving at the current shift;
the global camera shooting mechanism is arranged at an exit of the airport and used for executing camera shooting operation towards the airport internal area behind the exit so as to obtain and output a corresponding rear area image;
the interpolation processing equipment is connected with the global camera mechanism and used for receiving the rear area image and executing bilinear interpolation processing on the rear area image to obtain a bilinear interpolation image;
the background identification device is used for receiving the bilinear interpolation image and stripping a foreground image from the bilinear interpolation image to obtain a corresponding background image;
the monotonicity detection equipment is connected with the background identification equipment and is used for receiving the background image and executing monotonicity detection on the background image so as to obtain and output a monotonicity parameter of the background image;
in the monotonicity detecting apparatus, performing monotonicity detection on the background image to obtain a monotonicity parameter of the background image includes: the smaller the repetition degree of each blue component value of each pixel point in the background image is, the smaller the monotonicity parameter of the obtained background image is.
The instant authentication system based on network transmission has compact design and convenient operation. Due to the fact that a network authentication mode is adopted, each piece of luggage and the nearest human body in the customized processing image are authenticated respectively to determine whether the luggage and the nearest human body are in a binding relationship, and further whether a luggage taking action by mistake exists is judged, and therefore the airborne luggage is prevented from being lost.
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Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a view illustrating a scene at an exit of an airport where an instant authentication system based on network transmission is located according to an embodiment of the present invention.
Detailed Description
Embodiments of the instant authentication system based on network transmission of the present invention will be described in detail below with reference to the accompanying drawings.
Mobile communications (mobile communications) communicate the way communications between a mobile user and a fixed-point user or between mobile users.
Both parties of the communication have one or both parties in motion. Including land, sea, and air mobile communications. The frequency bands used are spread over low, medium, high, very high and very high frequencies. The mobile communication system is composed of mobile station, base station and mobile exchange. If communication with a mobile station is desired, the mobile exchange sends a call to the whole network through each base station, the called station sends an answer signal after receiving the answer, the mobile exchange assigns a channel to the mobile station after receiving the answer and transmits a signaling to make it ring from the channel of the speech channel.
At present, when people selected the aircraft trip, because cabin inner space's is limited, generally adopt the mode that passenger and luggage were placed respectively, just so lead to people just to look for various luggage after arriving, have chaotic space in the order, the phenomenon of luggage of taking by mistake or lawless persons steal luggage appears easily, consequently, needs a mechanism, can effectively distinguish above-mentioned phenomenon.
In order to overcome the defects, the invention builds an instant authentication system based on network transmission, and can effectively solve the corresponding technical problem.
Fig. 1 is a view illustrating a scene at an exit of an airport where an instant authentication system based on network transmission is located according to an embodiment of the present invention.
The instant authentication system based on network transmission shown according to the embodiment of the invention comprises:
the first identification equipment is connected with the geometric correction equipment and used for identifying each human body area where each human body target is respectively located in the real-time correction image based on the human body imaging characteristics;
the second identification device is connected with the geometric correction device and used for identifying each luggage area where each luggage target is respectively located in the real-time correction image based on the luggage imaging characteristics;
the distance detection equipment is respectively connected with the first identification equipment and the second identification equipment and used for carrying out the following actions on each luggage area: carrying out contour analysis on the human body area closest to the human body area to obtain a human body number corresponding to the human body area;
the distance detection device is further used for performing contour analysis on each baggage area to obtain a baggage number corresponding to each baggage area;
the distance detection device is further configured to perform the following for each baggage area: when the luggage number corresponding to the luggage area is not matched with the human body number corresponding to the human body area closest to the luggage area, sending a reminding instruction of taking the luggage by mistake;
the network transmission equipment is connected with the distance detection equipment and is also connected with background database equipment through a mobile communication network, and the background database stores the pre-shot image and the corresponding human body number of each passenger arriving at the current shift and also stores the pre-shot image and the corresponding luggage number of each luggage arriving at the current shift;
the global camera shooting mechanism is arranged at an exit of the airport and used for executing camera shooting operation towards the airport internal area behind the exit so as to obtain and output a corresponding rear area image;
the interpolation processing equipment is connected with the global camera mechanism and used for receiving the rear area image and executing bilinear interpolation processing on the rear area image to obtain a bilinear interpolation image;
the background identification device is used for receiving the bilinear interpolation image and stripping a foreground image from the bilinear interpolation image to obtain a corresponding background image;
the monotonicity detection equipment is connected with the background identification equipment and is used for receiving the background image and executing monotonicity detection on the background image so as to obtain and output a monotonicity parameter of the background image;
in the monotonicity detecting apparatus, performing monotonicity detection on the background image to obtain a monotonicity parameter of the background image includes: the smaller the repetition degree of each blue component value of each pixel point in the background image is, the smaller the monotonicity parameter of the obtained background image is;
the selection processing equipment is connected with the monotonicity detection equipment and is used for opening a data channel from the interpolation processing equipment to the smooth space filtering equipment and closing a data channel from the interpolation processing equipment to the statistical sorting filtering equipment when the monotonicity parameter of the received background image exceeds the limit;
a smooth spatial filtering device for performing a smooth spatial filtering process on the received bilinear interpolated image to obtain and output a corresponding selective filtered image when a data channel with the interpolation processing device is opened;
the statistical sorting filtering device is used for executing statistical sorting filtering processing on the received bilinear interpolation image when a data channel of the interpolation processing device is opened so as to obtain and output a corresponding selective filtering image;
the selection processing device is further configured to close a data channel from the interpolation processing device to a smooth space filtering device and open a data channel from the interpolation processing device to a statistical sorting filtering device when the monotonicity parameter of the received background image is not over-limit;
the geometric correction device is respectively connected with the smooth space filtering device and the statistical sorting filtering device and is used for executing geometric correction processing on the received selective filtering image so as to obtain and output a corresponding real-time correction image;
in the distance detection device, performing contour analysis on a human body region closest to the distance detection device to obtain a human body number corresponding to the human body region includes: and respectively carrying out similarity analysis on the human body area and each pre-shot image of each passenger arriving at the shift currently to obtain a human body number corresponding to the pre-shot image with the highest similarity.
Next, the detailed structure of the instant authentication system based on network transmission according to the present invention will be further described.
The instant authentication system based on network transmission can also comprise:
and the SDARM storage chip is respectively connected with the smooth space filtering equipment and the statistic sorting filtering equipment and is used for receiving and storing the selective filtering image.
The instant authentication system based on network transmission can also comprise:
the global camera shooting mechanism comprises a shooting support, a brightness measuring instrument, an auxiliary light source, an optical filter, a lens, an image sensor, a content analyzer and an LED lamp.
In the instant authentication system based on network transmission:
the shooting support is used for supporting the brightness measuring instrument, the auxiliary light source, the optical filter, the lens, the image sensor, the content analyzer and the LED lamp.
In the instant authentication system based on network transmission:
the brightness measuring instrument is used for measuring an ambient brightness mean value within a preset time interval, the auxiliary light source is connected with the brightness measuring instrument and is used for receiving the ambient brightness mean value and determining whether to emit auxiliary light or not based on the ambient brightness mean value, the optical filter is arranged in front of the lens, the lens is arranged in front of the image sensor, the image sensor is used for outputting a rear area image, the content analyzer is connected with the image sensor and is used for receiving the rear area image output by the image sensor and analyzing the rear area image as follows: and detecting each edge line in the rear area image, and determining whether to send out a blurring alarm signal according to the distribution uniformity of each edge line in the rear area image.
In the instant authentication system based on network transmission:
in the content analyzer, determining whether to send out a blurring alarm signal according to the distribution uniformity of each edge line in the rear area image includes: and when the distribution uniformity of each edge line in the rear area image exceeds the limit, sending a blurring alarm signal.
In the instant authentication system based on network transmission:
and the LED lamp is connected with the content analyzer and is used for emitting red light at a preset flashing frequency when receiving the blurring alarm signal.
In the instant authentication system based on network transmission:
and the auxiliary light source also determines the intensity of the emitted auxiliary light according to the size of the environment brightness mean value after determining to emit the auxiliary light, wherein the intensity of the emitted auxiliary light is smaller when the environment brightness mean value is larger.
In the instant authentication system based on network transmission:
the LED lamp is also used for not carrying out any flashing operation when the blurring alarm signal is not received.
In addition, the SDRAM: synchronous Dynamic Random Access Memory, wherein synchronization refers to that a Synchronous clock is required for Memory work, and internal command sending and data transmission are based on the Synchronous clock; dynamic means that the memory array needs to be refreshed continuously to ensure that data is not lost; random means that data are not stored linearly and sequentially, but data are read and written by freely appointing addresses. The clock frequency of the SDRAM is the frequency of data storage. The operating voltage of the SDRAM is 3.3V.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature.
Although the present invention has been described with reference to the above embodiments, it should be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention should be subject to the scope defined by the claims of the present application.

Claims (8)

1. An instant authentication system based on network transmission, the system comprising:
the first identification equipment is connected with the geometric correction equipment and used for identifying each human body area where each human body target is respectively located in the real-time correction image based on the human body imaging characteristics;
the second identification device is connected with the geometric correction device and used for identifying each luggage area where each luggage target is respectively located in the real-time correction image based on the luggage imaging characteristics;
the distance detection equipment is respectively connected with the first identification equipment and the second identification equipment and used for carrying out the following actions on each luggage area: carrying out contour analysis on the human body area closest to the human body area to obtain a human body number corresponding to the human body area;
the distance detection device is further used for performing contour analysis on each baggage area to obtain a baggage number corresponding to each baggage area;
the distance detection device is further configured to perform the following for each baggage area: when the luggage number corresponding to the luggage area is not matched with the human body number corresponding to the human body area closest to the luggage area, sending a reminding instruction of taking the luggage by mistake;
the network transmission equipment is connected with the distance detection equipment and is also connected with background database equipment through a mobile communication network, and the background database stores the pre-shot image and the corresponding human body number of each passenger arriving at the current shift and also stores the pre-shot image and the corresponding luggage number of each luggage arriving at the current shift;
the global camera shooting mechanism is arranged at an exit of the airport and used for executing camera shooting operation towards the airport internal area behind the exit so as to obtain and output a corresponding rear area image;
the interpolation processing equipment is connected with the global camera mechanism and used for receiving the rear area image and executing bilinear interpolation processing on the rear area image to obtain a bilinear interpolation image;
the background identification device is used for receiving the bilinear interpolation image and stripping a foreground image from the bilinear interpolation image to obtain a corresponding background image;
the monotonicity detection equipment is connected with the background identification equipment and is used for receiving the background image and executing monotonicity detection on the background image so as to obtain and output a monotonicity parameter of the background image;
in the monotonicity detecting apparatus, performing monotonicity detection on the background image to obtain a monotonicity parameter of the background image includes: the smaller the repetition degree of each blue component value of each pixel point in the background image is, the smaller the monotonicity parameter of the obtained background image is;
the selection processing equipment is connected with the monotonicity detection equipment and is used for opening a data channel from the interpolation processing equipment to the smooth space filtering equipment and closing a data channel from the interpolation processing equipment to the statistical sorting filtering equipment when the monotonicity parameter of the received background image exceeds the limit;
a smooth spatial filtering device for performing a smooth spatial filtering process on the received bilinear interpolated image to obtain and output a corresponding selective filtered image when a data channel with the interpolation processing device is opened;
the statistical sorting filtering device is used for executing statistical sorting filtering processing on the received bilinear interpolation image when a data channel of the interpolation processing device is opened so as to obtain and output a corresponding selective filtering image;
the selection processing device is further configured to close a data channel from the interpolation processing device to a smooth space filtering device and open a data channel from the interpolation processing device to a statistical sorting filtering device when the monotonicity parameter of the received background image is not over-limit;
the geometric correction device is respectively connected with the smooth space filtering device and the statistical sorting filtering device and is used for executing geometric correction processing on the received selective filtering image so as to obtain and output a corresponding real-time correction image;
in the distance detection device, performing contour analysis on a human body region closest to the distance detection device to obtain a human body number corresponding to the human body region includes: and respectively carrying out similarity analysis on the human body area and each pre-shot image of each passenger arriving at the shift currently to obtain a human body number corresponding to the pre-shot image with the highest similarity.
2. The instant authentication system based on network transmission as claimed in claim 1, wherein said system further comprises:
and the SDARM storage chip is respectively connected with the smooth space filtering equipment and the statistic sorting filtering equipment and is used for receiving and storing the selective filtering image.
3. The instant authentication system based on network transmission as claimed in claim 2, wherein said system further comprises:
the global camera shooting mechanism comprises a shooting support, a brightness measuring instrument, an auxiliary light source, an optical filter, a lens, an image sensor, a content analyzer and an LED lamp.
4. The instant authentication system based on network transmission according to claim 3, characterized in that:
the shooting support is used for supporting the brightness measuring instrument, the auxiliary light source, the optical filter, the lens, the image sensor, the content analyzer and the LED lamp.
5. The instant authentication system based on network transmission according to claim 4, characterized in that:
the brightness measuring instrument is used for measuring an ambient brightness mean value within a preset time interval, the auxiliary light source is connected with the brightness measuring instrument and is used for receiving the ambient brightness mean value and determining whether to emit auxiliary light or not based on the ambient brightness mean value, the optical filter is arranged in front of the lens, the lens is arranged in front of the image sensor, the image sensor is used for outputting a rear area image, the content analyzer is connected with the image sensor and is used for receiving the rear area image output by the image sensor and analyzing the rear area image as follows: and detecting each edge line in the rear area image, and determining whether to send out a blurring alarm signal according to the distribution uniformity of each edge line in the rear area image.
6. The instant authentication system based on network transmission according to claim 5, wherein:
in the content analyzer, determining whether to send out a blurring alarm signal according to the distribution uniformity of each edge line in the rear area image includes: and when the distribution uniformity of each edge line in the rear area image exceeds the limit, sending a blurring alarm signal.
7. The instant authentication system based on network transmission of claim 6, characterized in that:
and the LED lamp is connected with the content analyzer and is used for emitting red light at a preset flashing frequency when receiving the blurring alarm signal.
8. The instant authentication system based on network transmission according to claim 7, wherein:
and the auxiliary light source also determines the intensity of the emitted auxiliary light according to the size of the environment brightness mean value after determining to emit the auxiliary light, wherein the intensity of the emitted auxiliary light is smaller when the environment brightness mean value is larger.
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