CN114387038A - Billboard system combining artificial intelligence and computer vision - Google Patents

Billboard system combining artificial intelligence and computer vision Download PDF

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CN114387038A
CN114387038A CN202210068133.7A CN202210068133A CN114387038A CN 114387038 A CN114387038 A CN 114387038A CN 202210068133 A CN202210068133 A CN 202210068133A CN 114387038 A CN114387038 A CN 114387038A
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郭一帆
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0251Targeted advertisements
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09FDISPLAYING; ADVERTISING; SIGNS; LABELS OR NAME-PLATES; SEALS
    • G09F27/00Combined visual and audible advertising or displaying, e.g. for public address
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09GARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G5/00Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
    • G09G5/10Intensity circuits
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09GARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2320/00Control of display operating conditions
    • G09G2320/06Adjustment of display parameters
    • G09G2320/0626Adjustment of display parameters for control of overall brightness

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Abstract

The invention relates to a billboard system combining artificial intelligence and computer vision, comprising: display screen, camera device, light sensor, acoustic sensor, speaker, shell, storage module, network module, well accuse module and communication module, wherein storage module has big data face information. The crowd information is collected through the camera device and is transmitted to the central control module, the central control module compares and analyzes the collected information and big data, and the playing time of various advertisements is specifically adjusted; the central control module can also count the playing scores and the effective playing times of the single advertisements, know the effective playing effect of the advertisements, reject the advertisements with insufficient effective playing effect, increase the putting force of the advertisements with good playing effect and strengthen the advertisement putting effect.

Description

Billboard system combining artificial intelligence and computer vision
Technical Field
The invention relates to the technical field of billboards, in particular to a billboard system combining artificial intelligence and computer vision.
Background
Advertisement is one of the ways of culture media, and is a publicity means for publically and widely transmitting information to the public through a certain form of media. The large advertising boards are arranged in various places, intersections and the like in cities, are basically electronic advertising boards, are mainly favorable for information propagation in places with large pedestrian volume, and improve the advertising effect.
The effectiveness of a billboard, i.e. the amount of value of the media price, is related to many parameters, such as: lighting conditions, size of stationary people around the billboard, dwell time, etc. A plurality of factors are organically combined together, and the advertising effect of the advertisement is influenced. However, the current advertisement delivery can only be estimated by experience, and the currently delivered advertisement information cannot be adjusted in a targeted manner according to the proportions of different ages and sexes in the crowd, so that the advertisement delivery effect is poor.
Disclosure of Invention
Therefore, the invention provides a billboard system combining artificial intelligence and computer vision, which is used for overcoming the problem of poor billboard putting effect in the prior art.
To achieve the above objects, the present invention provides a billboard system combining artificial intelligence and computer vision, comprising:
the display screen is used for displaying advertisement content to the crowd;
the camera device is arranged at the upper end of the display screen and used for collecting crowd information below the display screen;
the storage module is arranged behind the display screen, connected with the display screen and used for storing different advertisement contents;
the network module is arranged behind the display screen, is connected with the storage module and is used for connecting the system with the Internet so as to automatically update the advertisement content;
the central control module is arranged behind the display screen, is respectively connected with the display screen, the camera device, the storage module and the network module, and is used for regulating and controlling the working state of each part;
the communication module is arranged behind the display screen, is connected with the central control module and is used for enabling a worker to remotely control the system;
the optical sensor is arranged at the top of the display screen, is connected with the central control module and is used for detecting the brightness of the environment surrounding the system;
the sound sensor is arranged behind the display screen, is connected with the central control module and is used for detecting the volume of the environment around the system;
the loudspeakers are arranged on the left side and the right side of the display screen, connected with the central control module and used for playing audio in the advertisement;
a housing wrapped around the display screen to protect components housed within the system;
the camera device can capture the visual focus of a crowd, count the total visual stay time J and the total stay times K of people in the crowd to a certain advertisement, and calculate the playing score H of the advertisement according to the counted J value and the counted K value, wherein H is J + alpha + K + beta;
a crowd number matrix M0, a play scoring standard matrix group H0 and an effective play time matrix L0 are arranged in the central control module;
for the crowd number matrix M0, M0(M1, M2, M3, M4), wherein M1 is a first preset number, M2 is a second preset number, M3 is a third preset number, and M4 is a fourth preset number, the progress is made;
for the play scoring criteria matrix set H0, H0(H1, H2, H3, H4), where H1 is the first play scoring criteria matrix, H2 is the second play scoring criteria matrix, H3 is the third play scoring criteria matrix, and H4 is the fourth play scoring criteria matrix;
for the ith playing scoring criterion matrix Hi, i is 1,2,3,4, Hi (Hi1, Hi2), where Hi1 is the ith playing scoring criterion score one, Hi2 is the ith playing scoring criterion score two, and the parameters decrease in sequence;
for the valid playing times matrix L0, L0(L1, L2), where L1 is the preset first valid playing times, and L2 is the preset second valid playing times;
when the billboard system is in operation, the central control module compares the population number N with parameters in M0:
when N is less than or equal to M1, the central control module selects parameters in an H1 matrix from a playing scoring standard matrix group H0 as scoring standards for the advertisement;
when M1 is more than N and less than or equal to M2, the central control module selects H2 from the playing scoring standard matrix group H0 as a scoring standard;
when M2 is more than N and less than or equal to M3, the central control module selects H3 from the playing scoring standard matrix group H0 as a scoring standard;
when M3 is more than N and less than or equal to M4, the central control module selects H4 from the playing scoring standard matrix group H0 as a scoring standard;
when the central control module selects the ith playing scoring standard matrix Hi from the playing scoring standard matrix group H0 as a scoring standard, the central control module compares the playing scoring H of the advertisement with the parameters in the Hi matrix in sequence:
when the equipment plays an advertisement for the first time, the central control module records the effective playing times Lj of the advertisement as 0;
when the advertisement playing times are more than 1 and H is more than or equal to Hi1, the central control module counts effective playing times Lj', Lj ═ Lj + 1;
when the advertisement playing times are more than 1 and H is more than or equal to Hi2 and less than Hi1, the central control module counts effective playing times Lj', Lj ═ Lj + 0;
when the advertisement playing times are greater than 1 and H is less than Hi2, the central control module counts effective playing times Lj', Lj ═ Lj-1;
when the central control module finishes counting the effective playing times Lj for one advertisement, the central control module compares the Lj with the parameters in the L0 matrix:
when Lj is less than or equal to L1, the central control module judges that the effective playing effect of the advertisement is insufficient and does not play the advertisement any more;
when the L1 is more than Lj and less than or equal to L2, the central control module judges that the effective playing effect of the advertisement is general and does not adjust the playing of the advertisement;
when Lj is larger than L2, the central control module judges that the effective playing effect of the advertisement is good, and the playing times of the advertisement are increased.
Further, the central control module is provided with a consumption group matrix A0, a consumption group compensation coefficient matrix B0, an advertisement category matrix CO and an advertisement category compensation parameter matrix group D0;
for the consumption group matrixes a0, a0(a1, a2, A3, a4), wherein a1 is a preset first-class consumption group, a2 is a preset second-class consumption group, A3 is a preset third-class consumption group, and a4 is a preset fourth-class consumption group;
for the consumption group compensation coefficient matrixes B0, B0(B1, B2, B3, B4), wherein B1 is a preset first type consumption group compensation coefficient, B2 is a preset second type consumption group compensation coefficient, B3 is a preset third type consumption group compensation coefficient, and B4 is a preset fourth type consumption group compensation coefficient;
for the advertisement category matrix CO, CO (C1, C2, C3, C4), where C1 is a preset first category advertisement, C2 is a preset second category advertisement, C3 is a preset third category advertisement, and C4 is a preset fourth category advertisement;
for the advertisement category, compensating parameter matrix groups D0, D0(D1, D2, D3, D4), wherein D1 is a first advertisement compensation parameter matrix, D2 is a second advertisement compensation parameter matrix, D3 is a third advertisement compensation parameter matrix, and D4 is a fourth advertisement compensation parameter matrix;
for the ith advertisement compensation parameter matrix Di, i is 1,2,3,4, Di (Di1, Di2, Di3, Di4), wherein Di1 is a first type consumer group compensation parameter in the ith advertisement, Di2 is a second type consumer group compensation parameter in the ith advertisement, Di3 is a third type consumer group compensation parameter in the ith advertisement, and Di4 is a fourth type consumer group compensation parameter in the ith advertisement;
when the system runs, the storage module stores face information obtained according to big data, the camera device collects the crowd information below the display screen and transmits the collected information to the central control module, the central control module counts the crowd number in the collected image information, calls the big data face information in the storage module after counting, compares the information with the collected image information to judge the consumer group type of each person in the collected image information, and after counting, the central control module records the total number of people below the display screen as N, the number of people belonging to a first type of consumption group A1 in the crowd as N1, the number of people belonging to a second type of consumption group A2 in the crowd as N2, the number of people belonging to a third type of consumption group A3 in the crowd as N3, and the number of people belonging to a fourth type of consumption group A4 in the crowd as N4;
after the statistics is completed, the central control module respectively calculates the purchasing power scores bi, i of the various consumer groups as 1,2,3 and 4,
Figure BDA0003481021860000041
after the calculation is completed, the central control module calculates the ith advertisement playing score ci and the total score c of the advertisement scores according to the corresponding parameters in bi and D0, wherein i is 1,2,3 and 4:
Figure BDA0003481021860000042
c=c1+c2+c3+c4
after the calculation is finished, the central control module calculates the percentage ei of the ith class score advertisement score in the total score according to c and ci,
Figure BDA0003481021860000043
the central control module is also provided with a playing period time T, and can respectively calculate various advertisement playing times Ti according to the percentage ei of the ith fraction advertisement score in the total fraction, wherein Ti is T ei;
and in a playing period T, the central control module sets the playing time of various advertisements as Ti, and when the total playing time of the system reaches T, the central control module repeats the operation to re-determine the playing time of various advertisements in the playing period T.
Furthermore, a recognition rate passing parameter matrix P0(P1, P2, P3, P4) is arranged in the central control module, wherein P1 is a preset passing first parameter, P2 is a preset passing second parameter, P3 is a preset passing third parameter, and P4 is a preset passing fourth parameter;
the central control module selects corresponding preset passing parameters according to the comparison result of the total number of people N and the parameters in the M0 matrix:
when N is less than or equal to M1, the central control module selects P1 as a parameter from the recognition rate through the parameter matrix P0;
when M1 is more than N and less than or equal to M2, the central control module selects P2 as a parameter from the recognition rate through a parameter matrix P0;
when M2 is more than N and less than or equal to M3, the central control module selects P3 as a parameter from the recognition rate through a parameter matrix P0;
when M3 is more than N and less than or equal to M4, the central control module selects P4 as a parameter from the recognition rate through a parameter matrix P0;
when the image information is collected by the camera device and sent to the central control module, the central control module counts the total number of people N ', N ' ═ N1+ N2+ N3+ N4 passing below the display screen, wherein the total number of people N ' can identify the preset consumption types;
the central control module calculates the identification rate p of the central control module according to the N value and the N' value,
Figure BDA0003481021860000051
after the calculation is completed, the central control module compares the calculation result p with the selected parameter Pi, i is 1,2,3,4:
when p is larger than or equal to Pi, the central control module does not adjust the big data face information stored in the storage module;
and when p is less than Pi, the central control module starts the network module and enables the system and the internet to perform data interaction through the network module so as to update the big data face information stored in the storage module.
Further, the central control module is provided with an ambient brightness matrix R0, a display screen brightness compensation parameter matrix R0, an ambient sound intensity matrix S0 and a loudspeaker sound compensation parameter matrix S0;
for the ambient brightness matrix R0, R0(R1, R2, R3, R4), where R1 is the preset first ambient brightness, R2 is the preset second ambient brightness, R3 is the preset third ambient brightness, and R4 is the preset fourth ambient brightness;
for the display screen brightness compensation parameter matrixes r0 and r0(r1, r2, r3 and r4), wherein r1 is a preset first display screen brightness compensation parameter, r2 is a preset second display screen brightness compensation parameter, r3 is a preset third display screen brightness compensation parameter, and r4 is a preset fourth display screen brightness compensation parameter;
for the ambient sound intensity matrix S0, S0(S1, S2, S3, S4), wherein S1 is the preset first ambient sound intensity, S2 is the preset second ambient sound intensity, S3 is the preset third ambient sound intensity, and S4 is the preset fourth ambient sound intensity;
for the speaker sound compensation parameter matrix s0, s0(s1, s2, s3, s4), wherein s1 is a preset first speaker sound intensity compensation parameter, s2 is a preset second speaker sound intensity compensation parameter, s3 is a preset third speaker sound intensity compensation parameter, and s4 is a preset fourth speaker sound intensity compensation parameter;
when the advertising system runs, the light sensor detects the brightness R of the surrounding environment of the display screen in real time and transmits the detected result to the central control module, and the central control module compares the R with the internal parameters of the R0 matrix:
when R is not more than R1, the central control module selects R1 from R0 as the brightness compensation parameter of the display screen;
when R is more than R1 and less than or equal to R2, the central control module selects R2 from R0 as a display screen brightness compensation parameter;
when R is more than R2 and less than or equal to R3, the central control module selects R3 from R0 as a display screen brightness compensation parameter;
when R is more than R3 and less than or equal to R4, the central control module selects R4 from R0 as a display screen brightness compensation parameter;
after the selection is completed, the central control module adjusts the brightness value of the display screen to r according to the selected brightness compensation parameter ri of the display screen, i is 1,2,3,4:
Figure BDA0003481021860000061
wherein k1 is a display screen brightness correction parameter, and r' is a display screen brightness reference value;
when the advertisement system runs, the sound sensor detects the sound intensity S of the surrounding environment of the display screen in real time and transmits the detected result to the central control module, and the central control module compares the S with the parameters in the S0 matrix:
when S is not more than S1, the central control module selects S1 from S0 as a speaker sound intensity compensation parameter;
when S1 is larger than S2, the central control module selects S2 from S0 as a speaker sound intensity compensation parameter;
when S2 is larger than S3, the central control module selects S3 from S0 as a speaker sound intensity compensation parameter;
when S3 is larger than S4, the central control module selects S4 from S0 as a speaker sound intensity compensation parameter;
after the selection is completed, the central control module adjusts the sound intensity value of the loudspeaker to be s, i is 1,2,3,4 according to the selected sound intensity compensation parameter si of the loudspeaker:
Figure BDA0003481021860000062
where k2 is a speaker sound intensity correction parameter, and s' is a speaker sound intensity reference value.
Furthermore, the staff can be remotely connected with the central control module through the communication module and the network module to remotely control the advertising board.
Furthermore, when the staff is remotely connected with the central control module, the staff can receive and record voice through the remote PC terminal and transmit the voice information to the central control module, and the central control module plays the voice information through a loudspeaker so as to realize real-time voice broadcasting.
Furthermore, the number n of minimum advertisement playing persons is set in the central control module; when the advertising system operates, the camera device collects crowd information below the display screen in real time, the detected crowd total number is recorded as N, and a detection result is transmitted to the central control module, and the central control module compares the N with the N: when the number N of people passing through the system in two continuous playing periods T is less than N, the central control module controls the display screen to be turned off to stop the advertisement playing;
when the display screen is turned off, the camera device continues to collect crowd information below the display screen, and when N is larger than N, the central control module controls the display screen to be bright so as to continue to play advertisements;
further, the camera device comprises a plurality of cameras, and can acquire complete crowd information by acquiring images from multiple angles.
Furthermore, the central control module is provided with a peripheral interface, and when a worker cannot remotely control the system, the worker can be connected with the peripheral through the peripheral interface to adjust the working state of each component.
Compared with the prior art, the billboard system combining artificial intelligence and computer vision has the advantages that the central control module is provided with a consumer group matrix A0(A1, A2, A3, A4), a consumer group compensation coefficient matrix B0(B1, B2, B3, B4), an advertisement category matrix CO (C1, C2, C3, C4) and an advertisement category compensation parameter matrix group D0(D1, D2, D3, D4); the storage module stores face information obtained according to big data, the camera device collects the information of people below the display screen and transmits the collected information to the central control module, the central control module calls the big data face information in the storage module and compares the big data face information with the information collected by the camera device, the number of people A1 in the people below the display screen is counted and is recorded as N1, the number of people A2 in the people is recorded as N2, the number of people A3 in the people is recorded as N3, the number of people A4 in the people is recorded as N4, and the total number of people in the people is recorded as N; the method comprises the steps of determining the ith advertisement playing score ci by calculating the purchasing power score bi of each consumer group in the crowd, further knowing the percentage ei of the ith score advertisement score in the total score, and finally calculating the playing time Ti of each type of advertisement within the playing period time T.
Furthermore, the camera device can capture the visual focus of people, can count the total visual stay time J and the total stay times K of people in people to a certain advertisement, and calculate the playing score H of the advertisement, a people number matrix M0(M1, M2, M3, M4), a playing score standard matrix H0(H1, H2, H3, H4) and an effective playing time matrix L0(L1, L2) are arranged in the central control module, and the effective playing effect of the advertisement is known by calculating the playing score H and the effective playing times Lj of a single advertisement, so that the advertisement with insufficient effective playing effect is removed, the putting strength of the advertisement with good effective playing effect is increased, and the advertisement putting effect can be further enhanced.
Furthermore, the identification rate in the central control module is calculated through a parameter matrix P0(P1, P2, P3 and P4), whether the big data face information stored in the storage module meets the identification requirement is known, and when the identification requirement is not met, the big data face information stored in the storage module is updated, so that the face data of the billboard system can be updated in time, accurate advertisement delivery can be performed on different crowds, and the advertisement delivery effect is further enhanced.
Furthermore, the central control module is provided with an ambient brightness matrix R0(R1, R2, R3, R4), a display screen brightness compensation parameter matrix R0(R1, R2, R3, R4), an ambient sound intensity matrix S0(S1, S2, S3, S4), and a speaker sound compensation parameter matrix S0(S1, S2, S3, S4), the optical sensor detects the ambient brightness R of the display screen in real time and transmits the detected result to the central control module, the central control module compares the parameters in the R0 matrix with the parameters in the R0 matrix to determine a display screen brightness compensation parameter ri, and then calculates and adjusts the display screen brightness R; the sound sensor detects the sound intensity S of the surrounding environment of the display screen in real time and transmits the detected result to the central control module, the central control module compares the S with the parameters in the S0 matrix to determine the speaker sound intensity compensation parameter si, and then calculates the speaker sound intensity value S and adjusts the speaker sound intensity value S. The display screen brightness and the loudspeaker sound intensity are adjusted in real time through the surrounding environment, the playing cost is saved, meanwhile, the display screen brightness and the loudspeaker sound intensity are adjusted to be in a proper range, the comfort level of people watching advertisements is increased, and the advertisement putting effect is further enhanced.
Furthermore, the communication module and the network module can be remotely connected with the central control module by a worker, so that the remote control of the billboard is realized. When the staff is remotely connected with the central control module, the voice can be received and recorded through the remote PC terminal and the voice information is transmitted to the central control module, and the central control module plays the voice information through the loudspeaker, so that real-time voice broadcasting is realized. Not only reduces the maintenance cost and the workload of workers, but also increases the functionality of the advertisement system.
Further, be equipped with minimum advertisement broadcast number of people N in the well accuse module, camera device gathers in real time display screen below crowd information, the crowd total number who detects is marked as N and transmits the testing result to well accuse module, well accuse module comparison N and N size: when N is less than N in two continuous playing periods T, the central control module controls the display screen to be off and stops the advertisement playing; when the display screen is turned off, the camera device continues to collect crowd information below the display screen, and when N is larger than N, the central control module controls the display screen to be bright and continues to play advertisements. The cost is saved, and meanwhile, the advertisement putting effect is further enhanced.
Drawings
FIG. 1 is a schematic front view of a billboard system incorporating artificial intelligence and computer vision in accordance with the present invention;
FIG. 2 is a schematic diagram of the back internal structure of a billboard system that combines artificial intelligence with computer vision in accordance with the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.
It should be noted that in the description of the present invention, the terms of direction or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, which are only for convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Referring to fig. 1 and 2, fig. 1 is a schematic front view of a billboard system combining artificial intelligence and computer vision according to the present invention, and fig. 2 is a schematic back view of the billboard system combining artificial intelligence and computer vision according to the present invention. The invention relates to a billboard system combining artificial intelligence and computer vision, which comprises: display screen 1, camera device 2, optical sensor 3, acoustic sensor 4, speaker 5, shell 6, storage module 7, network module 8, well accuse module 9 and communication module 10.
Wherein the display screen 1 is used for displaying advertisement content to the crowd; the camera device 2 is arranged at the upper end of the display screen and used for collecting crowd information below the display screen 1; the storage module 7 is arranged behind the display screen 1, connected with the display screen 1 and used for storing different advertisement contents; the network module 8 is arranged behind the display screen 1 and connected with the storage module 7, so that the system can be connected with the Internet and automatically updates advertisement contents; the central control module 9 is arranged behind the display screen 1 and is respectively connected with the display screen 1, the camera device 2, the storage module 7 and the network module 8 so as to regulate and control the working states of all the components; the communication module 10 is arranged behind the display screen 1 and connected with the central control module 9, so that a worker can remotely control the billboard control system; the optical sensor 3 is arranged at the top of the display screen 1, connected with the central control module 9 and used for detecting the ambient brightness environment of the system; the sound sensor 4 is arranged behind the display screen 1 and connected with the central control module 9 to detect the sound environment around the system; the loudspeakers 5 are arranged on the left side and the right side of the display screen 1, connected with the central control module 9 and used for playing audio frequencies in advertisements; the housing 6 is wrapped around the display screen 1 to protect the components carried therein.
When the billboard system combining artificial intelligence and computer vision works, the camera device 2 can capture the visual focus of people, count the total visual stay time J and the total stay times K of people in people on a certain advertisement, and calculate the playing score H of the advertisement according to the counted J value and the counted K value, wherein H is J + K;
a crowd number matrix M0, a play scoring standard matrix group H0 and an effective play time matrix L0 are arranged in the central control module 9;
for the crowd number matrix M0, M0(M1, M2, M3, M4), wherein M1 is a first preset number, M2 is a second preset number, M3 is a third preset number, and M4 is a fourth preset number, the progress is made;
for the play scoring criteria matrix set H0, H0(H1, H2, H3, H4), where H1 is the first play scoring criteria matrix, H2 is the second play scoring criteria matrix, H3 is the third play scoring criteria matrix, and H4 is the fourth play scoring criteria matrix;
for the ith playing scoring criterion matrix Hi, i is 1,2,3,4, Hi (Hi1, Hi2), where Hi1 is the ith playing scoring criterion score one, Hi2 is the ith playing scoring criterion score two, and the parameters decrease in sequence;
for the valid playing times matrix L0, L0(L1, L2), where L1 is the preset first valid playing times, and L2 is the preset second valid playing times;
when the billboard system is in operation, the central control module 9 compares the population number N with parameters in M0:
when N is less than or equal to M1, the central control module 9 selects parameters in the H1 matrix from the playing scoring standard matrix group H0 as scoring standards for the advertisement;
when M1 is more than N and less than or equal to M2, the central control module 9 selects H2 from the playing scoring standard matrix group H0 as a scoring standard;
when M2 is more than N and less than or equal to M3, the central control module 9 selects H3 from the playing scoring standard matrix group H0 as a scoring standard;
when M3 is more than N and less than or equal to M4, the central control module 9 selects H4 from the playing scoring standard matrix group H0 as a scoring standard;
when the central control module 9 selects the ith playing scoring standard matrix Hi from the playing scoring standard matrix group H0 as the scoring standard, the central control module 9 compares the playing scoring H of the advertisement with the parameters in the Hi matrix in sequence:
when the device plays an advertisement for the first time, the central control module 9 records the effective playing times Lj of the advertisement as 0;
when the advertisement playing times are greater than 1 and H is greater than or equal to Hi1, the central control module 9 counts effective playing times Lj', Lj ═ Lj + 1;
when the number of times of playing the advertisement is greater than 1 and H is greater than or equal to Hi2 and less than Hi1, the central control module 9 counts effective playing times Lj', Lj ═ Lj + 0;
when the number of times of playing the advertisement is greater than 1 and H is less than Hi2, the central control module 9 counts the number of times of playing the advertisement Lj', Lj ═ Lj-1;
when the central control module 9 finishes counting the effective playing times Lj for one advertisement, the central control module 9 compares Lj with the parameters in the L0 matrix:
when Lj is less than or equal to L1, the central control module 9 judges that the effective playing effect of the advertisement is insufficient and does not play the advertisement any more;
when L1 is more than Lj and less than or equal to L2, the central control module 9 judges that the effective playing effect of the advertisement is general and does not adjust the playing of the advertisement;
when Lj is greater than L2, the central control module 9 determines that the effective playing effect of the advertisement is good, and increases the playing times of the advertisement.
Further, the central control module 9 is provided with a consumption group matrix a0, a consumption group compensation coefficient matrix B0, an advertisement category matrix CO and an advertisement category compensation parameter matrix group D0;
for the consumption group matrixes a0, a0(a1, a2, A3, a4), wherein a1 is a preset first-class consumption group, a2 is a preset second-class consumption group, A3 is a preset third-class consumption group, and a4 is a preset fourth-class consumption group;
for the consumption group compensation coefficient matrixes B0, B0(B1, B2, B3, B4), wherein B1 is a preset first type consumption group compensation coefficient, B2 is a preset second type consumption group compensation coefficient, B3 is a preset third type consumption group compensation coefficient, and B4 is a preset fourth type consumption group compensation coefficient;
for the advertisement category matrix CO, CO (C1, C2, C3, C4), where C1 is a preset first category advertisement, C2 is a preset second category advertisement, C3 is a preset third category advertisement, and C4 is a preset fourth category advertisement;
for the advertisement category, compensating parameter matrix groups D0, D0(D1, D2, D3, D4), wherein D1 is a first advertisement compensation parameter matrix, D2 is a second advertisement compensation parameter matrix, D3 is a third advertisement compensation parameter matrix, and D4 is a fourth advertisement compensation parameter matrix;
for the ith advertisement compensation parameter matrix Di, i is 1,2,3,4, Di (Di1, Di2, Di3, Di4), wherein Di1 is a first type consumer group compensation parameter in the ith advertisement, Di2 is a second type consumer group compensation parameter in the ith advertisement, Di3 is a third type consumer group compensation parameter in the ith advertisement, and Di4 is a fourth type consumer group compensation parameter in the ith advertisement;
when the system is operated, the storage module 7 stores face information obtained according to big data, the camera device 2 collects the crowd information below the display screen 1 and transmits the collected information to the central control module 9, the central control module 9 counts the crowd amount in the collected image information, calls the big data face information in the storage module 7 after counting, compares the information with the collected image information to judge the type of the consumer group to which each person in the collected image information belongs, after counting, the central control module 9 records the total number of people below the display screen 1 as N, the number of people belonging to a first type of consumption group A1 in the crowd as N1, the number of people belonging to a second type of consumption group A2 in the crowd as N2, the number of people belonging to a third type of consumption group A3 in the crowd as N3, and the number of people belonging to a fourth type of consumption group A4 in the crowd as N4;
after the statistics is completed, the central control module 9 calculates the purchasing power scores bi, i ═ 1,2,3,4,
Figure BDA0003481021860000121
after the calculation is completed, the central control module 9 calculates the i-th advertisement playing score ci and the total score c of the advertisement scores according to the corresponding parameters in bi and D0, where i is 1,2,3,4:
Figure BDA0003481021860000131
c=c1+c2+c3+c4
after the calculation is finished, the central control module 9 calculates the percentage ei of the ith class score advertisement score in the total score according to c and ci,
Figure BDA0003481021860000132
the central control module 9 is further provided with a playing period time T, and the central control module 9 can respectively calculate various advertisement playing times Ti, where Ti is T ei, according to the percentage ei of the ith category of score advertisement scores in the total score;
in a playing period T, the central control module 9 sets the playing time of each type of advertisement as Ti, and when the total playing time of the system reaches T, the central control module 9 repeats the above operations to re-determine the playing time of each type of advertisement in the playing period T.
Furthermore, a recognition rate passing parameter matrix P0(P1, P2, P3, P4) is provided in the central control module 9, wherein P1 is a preset passing first parameter, P2 is a preset passing second parameter, P3 is a preset passing third parameter, and P4 is a preset passing fourth parameter;
the central control module 9 selects corresponding preset passing parameters according to the comparison result of the total number of people N and the parameters in the M0 matrix:
when N is less than or equal to M1, the central control module 9 selects P1 as a parameter from the recognition rate passing parameter matrix P0;
when M1 is more than N and less than or equal to M2, the central control module 9 selects P2 as a parameter from the recognition rate through a parameter matrix P0;
when M2 is more than N and less than or equal to M3, the central control module 9 selects P3 as a parameter from the recognition rate through a parameter matrix P0;
when M3 is more than N and less than or equal to M4, the central control module 9 selects P4 as a parameter from the recognition rate through a parameter matrix P0;
when the image information is collected by the camera device 2 and sent to the central control module 9, the central control module 9 counts the total number of people N ', N' ═ N1+ N2+ N3+ N4 who can pass under the display screen 1 belonging to the preset consumption category;
the central control module 9 calculates the recognition rate p of the central control module 9 according to the N value and the N' value,
Figure BDA0003481021860000133
after the calculation is completed, the central control module 9 compares the calculation result p with the selected parameter Pi, where i is 1,2,3,4:
when p is larger than or equal to Pi, the central control module 9 does not adjust the big data face information stored in the storage module 7;
when p is less than Pi, the central control module 9 starts the network module 8 and enables the system and the internet to perform data interaction through the network module 8 so as to update the big data face information existing in the storage module 7.
Specifically, the central control module 9 is provided with an ambient brightness matrix R0, a display screen 1 brightness compensation parameter matrix R0, an ambient sound intensity matrix S0, and a speaker 5 sound compensation parameter matrix S0;
for the ambient brightness matrix R0, R0(R1, R2, R3, R4), where R1 is the preset first ambient brightness, R2 is the preset second ambient brightness, R3 is the preset third ambient brightness, and R4 is the preset fourth ambient brightness;
for the brightness compensation parameter matrix r0, r0(r1, r2, r3, r4) of the display screen 1, wherein r1 is a preset first display screen 1 brightness compensation parameter, r2 is a preset second display screen 1 brightness compensation parameter, r3 is a preset third display screen 1 brightness compensation parameter, and r4 is a preset fourth display screen 1 brightness compensation parameter;
for the ambient sound intensity matrix S0, S0(S1, S2, S3, S4), wherein S1 is the preset first ambient sound intensity, S2 is the preset second ambient sound intensity, S3 is the preset third ambient sound intensity, and S4 is the preset fourth ambient sound intensity;
for the speaker 5 sound compensation parameter matrix s0, s0(s1, s2, s3, s4), where s1 is the preset first speaker 5 sound intensity compensation parameter, s2 is the preset second speaker 5 sound intensity compensation parameter, s3 is the preset third speaker 5 sound intensity compensation parameter, and s4 is the preset fourth speaker 5 sound intensity compensation parameter;
when the advertising system is running, the light sensor detects the brightness R of the surrounding environment of the display screen 1 in real time and transmits the detected result to the central control module 9, and the central control module 9 compares the R with the parameters in the R0 matrix:
when R is not more than R1, the central control module 9 selects R1 from R0 as the brightness compensation parameter of the display screen 1;
when R is more than R1 and less than or equal to R2, the central control module 9 selects R2 from R0 as the brightness compensation parameter of the display screen 1;
when R is more than R2 and less than or equal to R3, the central control module 9 selects R3 from R0 as the brightness compensation parameter of the display screen 1;
when R is more than R3 and less than or equal to R4, the central control module 9 selects R4 from R0 as the brightness compensation parameter of the display screen 1;
after the selection is completed, the central control module 9 adjusts the brightness value of the display screen 1 to r, i is 1,2,3,4 according to the selected brightness compensation parameter ri of the display screen 1:
Figure BDA0003481021860000141
wherein k1 is a brightness correction parameter of the display screen 1, and r' is a brightness reference value of the display screen 1;
when the advertising system is running, the sound sensor 4 detects the sound intensity S of the surrounding environment of the display screen 1 in real time and transmits the detected result to the central control module 9, and the central control module 9 compares the S with the parameters in the S0 matrix:
when S is less than or equal to S1, the central control module 9 selects S1 from S0 as the sound intensity compensation parameter of the loudspeaker 5;
when S1 is more than S and less than or equal to S2, the central control module 9 selects S2 from S0 as the sound intensity compensation parameter of the loudspeaker 5;
when S2 is more than S and less than or equal to S3, the central control module 9 selects S3 from S0 as the sound intensity compensation parameter of the loudspeaker 5;
when S3 is more than S and less than or equal to S4, the central control module 9 selects S4 from S0 as the sound intensity compensation parameter of the loudspeaker 5;
after the selection is completed, the central control module 9 adjusts the sound intensity value of the speaker 5 to s, i is 1,2,3,4 according to the selected sound intensity compensation parameter si of the speaker 5:
Figure BDA0003481021860000151
where k2 is a speaker 5 sound intensity correction parameter, and s' is a speaker 5 sound intensity reference value.
Specifically, the staff can remotely connect the central control module 9 through the communication module 10 and the network module 8 to remotely control the billboard.
Specifically, when the staff is remotely connected to the central control module 9, the staff can receive and record voice through the remote PC and transmit voice information to the central control module 9, and the central control module 9 plays the voice information through the speaker 5 to realize real-time voice broadcasting.
Specifically, the central control module 9 is provided with a minimum number n of advertisement playing persons; when the advertising system operates, the camera device 2 collects the crowd information below the display screen 1 in real time, the detected crowd total number is recorded as N, the detection result is transmitted to the central control module 9, and the central control module 9 compares the N with the N: when the number N of people passing through the system in two continuous playing periods T is less than N, the central control module 9 controls the display screen 1 to be off to stop the advertisement playing;
when the display screen 1 is turned off, the camera device 2 continues to collect crowd information below the display screen 1, and when N is larger than N, the central control module 9 controls the display screen 1 to be bright so as to continue to play advertisements;
specifically, the camera device 2 includes a plurality of cameras, and can capture complete crowd information by performing image acquisition from a plurality of angles.
Specifically, the central control module 9 is provided with a peripheral interface, and when the system cannot be remotely controlled by a worker, the worker can connect with the peripheral through the peripheral interface to adjust the working state of each component.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (9)

1. A billboard system combining artificial intelligence with computer vision, comprising:
the display screen is used for displaying advertisement content to the crowd;
the camera device is arranged at the upper end of the display screen and used for collecting crowd information below the display screen;
the storage module is arranged behind the display screen, connected with the display screen and used for storing different advertisement contents;
the network module is arranged behind the display screen, is connected with the storage module and is used for connecting the system with the Internet so as to automatically update the advertisement content;
the central control module is arranged behind the display screen, is respectively connected with the display screen, the camera device, the storage module and the network module, and is used for regulating and controlling the working state of each part;
the communication module is arranged behind the display screen, is connected with the central control module and is used for enabling a worker to remotely control the system;
the optical sensor is arranged at the top of the display screen, is connected with the central control module and is used for detecting the brightness of the environment surrounding the system;
the sound sensor is arranged behind the display screen, is connected with the central control module and is used for detecting the volume of the environment around the system;
the loudspeakers are arranged on the left side and the right side of the display screen, connected with the central control module and used for playing audio in the advertisement;
a housing wrapped around the display screen to protect components housed within the system;
the camera device can capture the visual focus of a crowd, count the total visual stay time J and the total stay times K of people in the crowd to a certain advertisement, and calculate the playing score H of the advertisement according to the counted J value and the counted K value, wherein H is J + alpha + K + beta;
a crowd number matrix M0, a play scoring standard matrix group H0 and an effective play time matrix L0 are arranged in the central control module;
for the crowd number matrix M0, M0(M1, M2, M3, M4), wherein M1 is a first preset number, M2 is a second preset number, M3 is a third preset number, and M4 is a fourth preset number, the progress is made;
for the play scoring criteria matrix set H0, H0(H1, H2, H3, H4), where H1 is the first play scoring criteria matrix, H2 is the second play scoring criteria matrix, H3 is the third play scoring criteria matrix, and H4 is the fourth play scoring criteria matrix;
for the ith playing scoring criterion matrix Hi, i is 1,2,3,4, Hi (Hi1, Hi2), where Hi1 is the ith playing scoring criterion score one, Hi2 is the ith playing scoring criterion score two, and the parameters decrease in sequence;
for the valid playing times matrix L0, L0(L1, L2), where L1 is the preset first valid playing times, and L2 is the preset second valid playing times;
when the billboard system is in operation, the central control module compares the population number N with parameters in M0:
when N is less than or equal to M1, the central control module selects parameters in an H1 matrix from a playing scoring standard matrix group H0 as scoring standards for the advertisement;
when M1 is more than N and less than or equal to M2, the central control module selects H2 from the playing scoring standard matrix group H0 as a scoring standard;
when M2 is more than N and less than or equal to M3, the central control module selects H3 from the playing scoring standard matrix group H0 as a scoring standard;
when M3 is more than N and less than or equal to M4, the central control module selects H4 from the playing scoring standard matrix group H0 as a scoring standard;
when the central control module selects the ith playing scoring standard matrix Hi from the playing scoring standard matrix group H0 as a scoring standard, the central control module compares the playing scoring H of the advertisement with the parameters in the Hi matrix in sequence:
when the equipment plays an advertisement for the first time, the central control module records the effective playing times Lj of the advertisement as 0;
when the advertisement playing times are more than 1 and H is more than or equal to Hi1, the central control module counts effective playing times Lj', Lj ═ Lj + 1;
when the advertisement playing times are more than 1 and H is more than or equal to Hi2 and less than Hi1, the central control module counts effective playing times Lj', Lj ═ Lj + 0;
when the advertisement playing times are greater than 1 and H is less than Hi2, the central control module counts effective playing times Lj', Lj ═ Lj-1;
when the central control module finishes counting the effective playing times Lj for one advertisement, the central control module compares the Lj with the parameters in the L0 matrix:
when Lj is less than or equal to L1, the central control module judges that the effective playing effect of the advertisement is insufficient and does not play the advertisement any more;
when the L1 is more than Lj and less than or equal to L2, the central control module judges that the effective playing effect of the advertisement is general and does not adjust the playing of the advertisement;
when Lj is larger than L2, the central control module judges that the effective playing effect of the advertisement is good, and the playing times of the advertisement are increased.
2. A billboard system combining artificial intelligence and computer vision according to claim 1, in which the central module is provided with a consumer group matrix a0, a consumer group compensation coefficient matrix B0, an advertisement category matrix CO and an advertisement category compensation parameter matrix set D0;
for the consumption group matrixes a0, a0(a1, a2, A3, a4), wherein a1 is a preset first-class consumption group, a2 is a preset second-class consumption group, A3 is a preset third-class consumption group, and a4 is a preset fourth-class consumption group;
for the consumption group compensation coefficient matrixes B0, B0(B1, B2, B3, B4), wherein B1 is a preset first type consumption group compensation coefficient, B2 is a preset second type consumption group compensation coefficient, B3 is a preset third type consumption group compensation coefficient, and B4 is a preset fourth type consumption group compensation coefficient;
for the advertisement category matrix CO, CO (C1, C2, C3, C4), where C1 is a preset first category advertisement, C2 is a preset second category advertisement, C3 is a preset third category advertisement, and C4 is a preset fourth category advertisement;
for the advertisement category, compensating parameter matrix groups D0, D0(D1, D2, D3, D4), wherein D1 is a first advertisement compensation parameter matrix, D2 is a second advertisement compensation parameter matrix, D3 is a third advertisement compensation parameter matrix, and D4 is a fourth advertisement compensation parameter matrix;
for the ith advertisement compensation parameter matrix Di, i is 1,2,3,4, Di (Di1, Di2, Di3, Di4), wherein Di1 is a first type consumer group compensation parameter in the ith advertisement, Di2 is a second type consumer group compensation parameter in the ith advertisement, Di3 is a third type consumer group compensation parameter in the ith advertisement, and Di4 is a fourth type consumer group compensation parameter in the ith advertisement;
when the system runs, the storage module stores face information obtained according to big data, the camera device collects the crowd information below the display screen and transmits the collected information to the central control module, the central control module counts the crowd number in the collected image information, calls the big data face information in the storage module after counting, compares the information with the collected image information to judge the consumer group type of each person in the collected image information, and after counting, the central control module records the total number of people below the display screen as N, the number of people belonging to a first type of consumption group A1 in the crowd as N1, the number of people belonging to a second type of consumption group A2 in the crowd as N2, the number of people belonging to a third type of consumption group A3 in the crowd as N3, and the number of people belonging to a fourth type of consumption group A4 in the crowd as N4;
after the statistics is completed, the central control module respectively calculates the purchasing power scores bi, i of the various consumer groups as 1,2,3 and 4,
Figure FDA0003481021850000041
after the calculation is completed, the central control module calculates the ith advertisement playing score ci and the total score c of the advertisement scores according to the corresponding parameters in bi and D0, wherein i is 1,2,3 and 4:
Figure FDA0003481021850000042
c=c1+c2+c3+c4
after the calculation is finished, the central control module calculates the percentage ei of the ith class score advertisement score in the total score according to c and ci,
Figure FDA0003481021850000043
the central control module is also provided with a playing period time T, and can respectively calculate various advertisement playing times Ti according to the percentage ei of the ith fraction advertisement score in the total fraction, wherein Ti is T ei;
and in a playing period T, the central control module sets the playing time of various advertisements as Ti, and when the total playing time of the system reaches T, the central control module repeats the operation to re-determine the playing time of various advertisements in the playing period T.
3. A billboard system combining artificial intelligence and computer vision according to claim 2, in which a recognition rate passing parameter matrix P0(P1, P2, P3, P4) is provided in the central module, wherein P1 is a preset passing first parameter, P2 is a preset passing second parameter, P3 is a preset passing third parameter, and P4 is a preset passing fourth parameter;
the central control module selects corresponding preset passing parameters according to the comparison result of the total number of people N and the parameters in the M0 matrix:
when N is less than or equal to M1, the central control module selects P1 as a parameter from the recognition rate through the parameter matrix P0;
when M1 is more than N and less than or equal to M2, the central control module selects P2 as a parameter from the recognition rate through a parameter matrix P0;
when M2 is more than N and less than or equal to M3, the central control module selects P3 as a parameter from the recognition rate through a parameter matrix P0;
when M3 is more than N and less than or equal to M4, the central control module selects P4 as a parameter from the recognition rate through a parameter matrix P0;
when the image information is collected by the camera device and sent to the central control module, the central control module counts the total number of people N ', N ' ═ N1+ N2+ N3+ N4 passing below the display screen, wherein the total number of people N ' can identify the preset consumption types;
the central control module calculates the identification rate p of the central control module according to the N value and the N' value,
Figure FDA0003481021850000044
after the calculation is completed, the central control module compares the calculation result p with the selected parameter Pi, i is 1,2,3,4:
when p is larger than or equal to Pi, the central control module does not adjust the big data face information stored in the storage module;
and when p is less than Pi, the central control module starts the network module and enables the system and the internet to perform data interaction through the network module so as to update the big data face information stored in the storage module.
4. A billboard system combining artificial intelligence and computer vision according to claim 1, in which the central module has an ambient brightness matrix R0, a display screen brightness compensation parameter matrix R0, an ambient sound intensity matrix S0, a speaker sound compensation parameter matrix S0;
for the ambient brightness matrix R0, R0(R1, R2, R3, R4), where R1 is the preset first ambient brightness, R2 is the preset second ambient brightness, R3 is the preset third ambient brightness, and R4 is the preset fourth ambient brightness;
for the display screen brightness compensation parameter matrixes r0 and r0(r1, r2, r3 and r4), wherein r1 is a preset first display screen brightness compensation parameter, r2 is a preset second display screen brightness compensation parameter, r3 is a preset third display screen brightness compensation parameter, and r4 is a preset fourth display screen brightness compensation parameter;
for the ambient sound intensity matrix S0, S0(S1, S2, S3, S4), wherein S1 is the preset first ambient sound intensity, S2 is the preset second ambient sound intensity, S3 is the preset third ambient sound intensity, and S4 is the preset fourth ambient sound intensity;
for the speaker sound compensation parameter matrix s0, s0(s1, s2, s3, s4), wherein s1 is a preset first speaker sound intensity compensation parameter, s2 is a preset second speaker sound intensity compensation parameter, s3 is a preset third speaker sound intensity compensation parameter, and s4 is a preset fourth speaker sound intensity compensation parameter;
when the advertising system runs, the light sensor detects the brightness R of the surrounding environment of the display screen in real time and transmits the detected result to the central control module, and the central control module compares the R with the internal parameters of the R0 matrix:
when R is not more than R1, the central control module selects R1 from R0 as the brightness compensation parameter of the display screen;
when R is more than R1 and less than or equal to R2, the central control module selects R2 from R0 as a display screen brightness compensation parameter;
when R is more than R2 and less than or equal to R3, the central control module selects R3 from R0 as a display screen brightness compensation parameter;
when R is more than R3 and less than or equal to R4, the central control module selects R4 from R0 as a display screen brightness compensation parameter;
after the selection is completed, the central control module adjusts the brightness value of the display screen to r according to the selected brightness compensation parameter ri of the display screen, i is 1,2,3,4:
Figure FDA0003481021850000051
wherein k1 is a display screen brightness correction parameter, and r' is a display screen brightness reference value;
when the advertisement system runs, the sound sensor detects the sound intensity S of the surrounding environment of the display screen in real time and transmits the detected result to the central control module, and the central control module compares the S with the parameters in the S0 matrix:
when S is not more than S1, the central control module selects S1 from S0 as a speaker sound intensity compensation parameter;
when S1 is larger than S2, the central control module selects S2 from S0 as a speaker sound intensity compensation parameter;
when S2 is larger than S3, the central control module selects S3 from S0 as a speaker sound intensity compensation parameter;
when S3 is larger than S4, the central control module selects S4 from S0 as a speaker sound intensity compensation parameter;
after the selection is completed, the central control module adjusts the sound intensity value of the loudspeaker to be s, i is 1,2,3,4 according to the selected sound intensity compensation parameter si of the loudspeaker:
Figure FDA0003481021850000061
where k2 is a speaker sound intensity correction parameter, and s' is a speaker sound intensity reference value.
5. The billboard system combining artificial intelligence and computer vision according to claim 1, wherein a worker can remotely connect the central control module through the communication module and the network module to remotely control the billboard.
6. The billboard system combining artificial intelligence and computer vision according to claim 5, wherein when a worker connects the central control module remotely, the worker can receive and record voice through the remote PC terminal and transmit voice information to the central control module, and the central control module plays the voice information through the speaker to realize real-time voice broadcasting.
7. The billboard system combining artificial intelligence and computer vision according to claim 1, wherein a minimum number of ads playing n is set in the central module; when the advertising system operates, the camera device collects crowd information below the display screen in real time, the detected crowd total number is recorded as N, and a detection result is transmitted to the central control module, and the central control module compares the N with the N: when the number N of people passing through the system in two continuous playing periods T is less than N, the central control module controls the display screen to be turned off to stop the advertisement playing;
when the display screen is turned off, the camera device continues to collect crowd information below the display screen, and when N is larger than N, the central control module controls the display screen to be bright so as to continue to play advertisements.
8. A billboard system combining artificial intelligence and computer vision according to claim 1, in which the camera means comprises a plurality of cameras capable of capturing complete demographic information by image acquisition from multiple angles.
9. The billboard system combining artificial intelligence and computer vision according to claim 1, wherein the central control module is provided with a peripheral interface through which a worker can connect to the peripheral to adjust the operating status of the components when the worker is unable to remotely control the system.
CN202210068133.7A 2022-01-20 2022-01-20 Billboard system combining artificial intelligence and computer vision Withdrawn CN114387038A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116959370A (en) * 2023-09-19 2023-10-27 深圳市鸿茂元智光电有限公司 LED screen display control method and system and display screen
CN117408760A (en) * 2023-12-14 2024-01-16 成都亚度克升科技有限公司 Picture display method and system based on artificial intelligence

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116959370A (en) * 2023-09-19 2023-10-27 深圳市鸿茂元智光电有限公司 LED screen display control method and system and display screen
CN116959370B (en) * 2023-09-19 2023-11-24 深圳市鸿茂元智光电有限公司 LED screen display control method and system and display screen
CN117408760A (en) * 2023-12-14 2024-01-16 成都亚度克升科技有限公司 Picture display method and system based on artificial intelligence
CN117408760B (en) * 2023-12-14 2024-02-27 成都亚度克升科技有限公司 Picture display method and system based on artificial intelligence

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