CN113706205A - Advertisement putting method based on portrait recognition and system applying method - Google Patents
Advertisement putting method based on portrait recognition and system applying method Download PDFInfo
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Abstract
The invention provides an advertisement putting method based on portrait recognition and a system applying the method, comprising the following steps: s1, acquiring images of nearest personnel in a preset range in front of the advertising player 1; s2, determining whether the nearest person is facing the advertising machine 1, if yes, proceeding to step S3, and if no, proceeding to step S1; according to the invention, through the interaction between the consumer and the advertisement machine, the interested advertisements are quickly screened for the consumer in the process that the consumer skips the advertisements; when the consumer receives the consumption coupon in advance, different playlists are generated according to different character characteristics of males and females; the coupons with different probabilities and limits can be flexibly adjusted, the expected psychology of consumers is further improved, the effect of attracting the consumers is achieved, and the commercial transaction rate of merchants for putting advertisements is improved through effective interaction and the advertisement types which are interesting to the consumers in the shortest time.
Description
Technical Field
The invention belongs to the field of advertisements, and particularly relates to an advertisement putting method based on portrait recognition and a system applying the method.
Background
The application of artificial intelligence technology in the advertising industry is mainly to simulate human thinking through a computer and intelligently process the problems in the advertising operation, and because the artificial intelligence in the advertising industry at present is mainly based on natural language understanding consumer insight and intelligent advertisement strategy analysis.
Based on the description, the inventor finds that comprehensive cognition, understanding and judgment on consumer information cannot be achieved only through appearance information artificial intelligence in the advertisement industry at the present stage, advertising strategies which are targeted and most beneficial to being popularized by merchants cannot be personalized for new and old consumers in limited areas, and the types of advertisements which are not interested in consumers and are frequently pushed easily occur, so that the watching frequency of the consumers on the advertisement popularization mode can be reduced.
Disclosure of Invention
In order to solve the technical problems, the invention provides an advertisement putting method based on portrait recognition and a system applying the method, so as to solve the problems that in the existing advertisement industry at the present stage, comprehensive cognition, understanding and judgment on consumer information cannot be achieved only through appearance information artificial intelligence, in a limited area, an advertisement strategy which is targeted and most beneficial to being popularized by a merchant cannot be personalized for new and old consumers, and frequent advertisement types which are not interested by consumers are easily pushed, so that the watching frequency of the consumers on the advertisement popularization mode can be reduced.
Aiming at the defects of the prior art, the invention discloses an advertisement putting method based on portrait recognition, which is achieved by the following specific technical means:
s1, acquiring images of nearest personnel in a preset range in front of the advertising player 1;
s2, determining whether the nearest person is facing the advertising machine 1, if yes, proceeding to step S3, and if no, proceeding to step S1;
s3, playing the advertisement according to the predetermined sequence, judging whether the recent people have skipped advertisements during watching the advertisement, if yes, going to step S4, otherwise, going to step S5;
s4, obtaining the type corresponding to the skipped advertisement during the period that the nearest person watches the advertisement, eliminating the advertisement with the same or similar type as the skipped advertisement in the preset sequence, generating a cache first play list, and playing the advertisement according to the cache first play list;
s5, judging whether the nearest person clicks the coupon during the advertisement watching period, if yes, entering the step S6, otherwise, entering the step S3;
s6, obtaining the type corresponding to the clicked coupon advertisement during the period that the nearest person watches the advertisement; removing the advertisements with the same or similar types as the clicked coupon advertisements in the preset sequence to generate a cache second play list, and playing the advertisements according to the cache second play list; or ordering the advertisements with the same or similar types as the received coupon advertisements in the preset sequence to generate a cache third play list, and playing the advertisements according to the cache third play list.
Compared with the prior art, the invention has the following advantagesAdvantageous effects：
According to the invention, through the interaction between the consumer and the advertisement machine, the interested advertisements are quickly screened for the consumer in the process that the consumer skips the advertisements; when the consumer receives the consumption coupon in advance, different playlists are generated according to different character characteristics of males and females; the coupons can be packed and received together according to different consumption coupons pre-received by consumers, the consumers can conveniently consume for many times, the coupons with different probabilities and limits can be flexibly adjusted according to different states of the consumers when watching advertisements, the expected psychology of the consumers is further improved, the effect of attracting the consumers is achieved, and the commercial types interested by the consumers are provided through effective interaction in the shortest time, so that the commercial rate of advertising by merchants is improved.
Drawings
Fig. 1 is a flowchart of an advertisement delivery method based on portrait recognition.
Fig. 2 is a schematic view of a face from different angles.
FIG. 3 is a schematic illustration of a human-machine interaction presentation.
Fig. 4 is a schematic structural diagram of an artificial intelligent advertising machine.
Detailed Description
The embodiments of the present invention will be described in further detail with reference to the drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "connected" and "connected" are to be interpreted broadly, e.g., as being fixed or detachable or integrally connected; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Examples
Referring to fig. 1 to 4, the present invention provides an advertisement delivery method based on portrait identification, including:
s1, acquiring images of nearest personnel in a preset range in front of the advertising player 1;
s2, determining whether the nearest person is facing the advertising machine 1, if yes, proceeding to step S3, and if no, proceeding to step S1;
s3, playing the advertisement according to the predetermined sequence, judging whether the recent people have skipped advertisements during watching the advertisement, if yes, going to step S4, otherwise, going to step S5;
s4, obtaining the type corresponding to the skipped advertisement during the period that the nearest person watches the advertisement, eliminating the advertisement with the same or similar type as the skipped advertisement in the preset sequence, generating a cache first play list, and playing the advertisement according to the cache first play list;
s5, judging whether the nearest person clicks the coupon during the advertisement watching period, if yes, entering the step S6, otherwise, entering the step S3;
s6, obtaining the type corresponding to the clicked coupon advertisement during the period that the nearest person watches the advertisement; removing the advertisements with the same or similar types as the clicked coupon advertisements in the preset sequence to generate a cache second play list, and playing the advertisements according to the cache second play list; or ordering the advertisements with the same or similar types as the received coupon advertisements in the preset sequence to generate a cache third play list, and playing the advertisements according to the cache third play list.
In step 1, the predetermined range is a distance that can interact with the advertisement player 1. Specifically, in this embodiment, the advertisement machine 1 is an interactive robot capable of being operated by a touch screen, and the interaction distance is generally 0 to 0.5 meter. In other embodiments, the advertisement player 1 may be in a remote sensing type interaction mode, a button type interaction mode, a gesture control type interaction mode, or the like, and the interaction distance is set as the actual control distance of the advertisement player 1.
In one embodiment, the step of determining whether the nearest person is facing the advertisement player 1 in step S2 includes:
and judging whether four eye corners of the two eyes of the nearest person are recognized, if so, judging that the nearest person faces the advertising player 1, and if not, judging that the nearest person does not face the advertising player 1. In other words, whether or not to face the advertising machine can be judged only by recognizing the four corners of the two eyes of the nearest person.
In order to more accurately determine whether the nearest person faces the advertisement player 1, in another embodiment, referring to fig. 2, the four corner marks are a1, a2, B1, and B2, and the step of determining whether the nearest person faces the advertisement player 1 includes:
judging whether four eye angles of two eyes of the nearest person are identified, if so, entering the next step, and if not, judging that the nearest person does not face the advertising player 1;
acquiring the distance between the two eyes of the nearest person as A and B respectively, and acquiring max (A, B), wherein the max (A, B) is the maximum value of A or B;
and judging whether | A-B |/max (A, B) is greater than or equal to 0.5, if so, judging that the nearest person faces the advertising player 1, and if not, judging that the nearest person does not face the advertising player 1.
It is understood that when the ratio of | a-B |/max (a, B) approaches 1, it indicates that the face of the nearest person is facing the advertising player 1. Therefore, the closer the ratio of | A-B |/max (A, B) is to 1, the greater the probability that the face of the nearest person will look at the advertiser 1. Therefore, in another embodiment, it is more preferable that | a-B |/max (a, B) is determined whether or not | a-B |/max (a, B) is equal to or greater than 0.8, and if yes, it is determined that the nearest person is directed to the advertisement player 1, and if not, it is determined that the nearest person is not directed to the advertisement player 1.
In step S3, the term "skipping advertisement" refers to that the user interacts with the advertising machine 1 to skip the advertisement that is not of interest by a button, gesture, or voice, or other means.
In step S4, it is assumed that the advertisements in the predetermined order are sequentially ordered as: 1. cosmetic A; 2. catering A; 3. a cosmetic B; 4. clothing A; 5. catering B; 6. movie A; 7. and (4) clothes B. Suppose that the customer skips this advertisement while watching advertisement 1. cosmetic a. At this time, the same or similar type of advertisement (cosmetics) as the skipped advertisement in the predetermined order is culled, and a cached first playlist is generated: 1. catering A; 2. clothing A; 3. catering B; 4. movie A; 5. and (4) clothes B. It can be understood that the cached first playlist is a temporary playlist, and when the current user leaves, the system deletes the cached first playlist and plays the cached first playlist in the original sequence.
In step S6, after obtaining the type corresponding to the clicked coupon advertisement during the advertisement viewing period of the nearest person, the method further includes:
and storing the clicked coupon in a coupon storage box.
Wherein the coupon storage box may be configured to resemble a "shopping cart" in which the clicked coupon is stored.
After the storing of the clicked coupon in the coupon storage frame, the method further includes:
packaging the coupons stored in the coupon storage frame and generating a two-dimensional code link for acquiring the packaged coupons; and the user can obtain the two-dimension code of the packaged coupon by scanning the two-dimension code.
Further, the arrangement order of the coupons in the coupon storage frame can be arranged according to the order of clicking, which is not described in detail herein.
As a further improvement, the advertising machine 1 may further include a printing device for sequentially printing the coupons in the coupon storage frame.
As a further improvement, the advertisement machine 1 may further include an NFC module, configured to interact the coupon in the coupon storage frame with a mobile phone through the NFC module, so as to obtain the coupon in the coupon storage frame.
In step S6, removing the same or similar type of advertisement in the predetermined sequence as the clicked coupon advertisement, generating a cached second playlist, and playing the advertisement according to the cached second playlist; or ordering the advertisements with the same or similar type as the clicked coupon advertisement in a preset sequence to generate a cached third play list, and playing the advertisements according to the cached third play list, wherein the method comprises the following steps:
acquiring the gender characteristics of the nearest viewer;
when the recent viewer is male, removing the advertisements with the same or similar types as the clicked coupon advertisements in the preset sequence to generate a cache second play list, and playing the advertisements according to the cache second play list;
and when the latest viewer is female, ordering the advertisements with the same or similar types as the clicked coupon advertisement in a preset sequence to generate a cached third play list, and playing the advertisements according to the cached third play list.
This is because men are generally selective and unwilling to compare prices and therefore cull the same or similar type of advertisement in the predetermined order as the clicked coupon advertisement. Women generally have complex selectivity and are willing to repeatedly compare prices, and the same or similar type of advertisement as the clicked coupon advertisement in the predetermined sequence is sorted ahead, so that the female user can watch the advertisement for the first time and compare the prices. Acquiring the type corresponding to the clicked coupon advertisement during the period that the nearest person watches the advertisement; removing the advertisements with the same or similar types as the clicked coupon advertisements in the preset sequence to generate a cache second play list, and playing the advertisements according to the cache second play list; or ordering the advertisements with the same or similar types as the received coupon advertisements in the preset sequence to generate a cache third play list, and playing the advertisements according to the cache third play list.
Wherein, in step S6, when the nearest viewer is male, it is assumed that the advertisements in the predetermined order are sequentially ordered as: 1. cosmetic A; 2. catering A; 3. a cosmetic B; 4. clothing A; 5. catering B; 6. movie A; 7. and (4) clothes B. Suppose a customer clicks on a cosmetic a-related coupon while watching advertisement 1. cosmetic a, at which time the same or similar type of advertisement (cosmetics) in a predetermined order as the clicked advertisement is culled, generating a cached second playlist: 1. catering A; 2. clothing A; 3. catering B; 4. movie A; 5. clothing B; suppose a customer is watching a second playlist advertisement 1. at restaurant A, click on the coupon associated with restaurant A, at this point, remove (restaurant) the same or similar type of advertisement in the predetermined order as the skipped advertisement, and generate a cached 2 nd-1 st playlist: 1. clothing A; 2. movie A; 3. clothing B; and so on.
Further, in step S6, when the nearest viewer is female, it is assumed that the advertisements in the predetermined order are sequentially ordered as: 1. cosmetic A; 2. catering A; 3. a cosmetic B; 4. clothing A; 5. catering B; 6. movie A; 7. clothing B; 8. and (C) a cosmetic. Suppose a customer clicks on a cosmetic a-related coupon while watching advertisement 1. cosmetic a, at which time the same or similar type of advertisement in a predetermined order as the clicked advertisement is selected (cosmetics), generating a cached third playlist: 1. a cosmetic B; 2. a cosmetic C; when the advertisement is returned, the advertisement with the same or similar type as the clicked advertisement in the preset sequence is removed (cosmetics), and a 3-1 playing list is generated: 1. catering A; 2. clothing A; 3. catering B; 4. movie A; 5. clothing B; and so on.
It can be understood that the cached first playlist is a temporary playlist, and when the current user leaves, the system deletes the cached first playlist and plays the cached first playlist in the original sequence
The embodiment further provides an artificial intelligence advertisement delivery system based on image recognition, which specifically includes:
step 3, playing the advertisements according to a preset sequence, judging whether the recent people have skipped advertisements during watching the advertisements, if so, entering step 4, otherwise, entering step 5;
step 4, obtaining the type corresponding to the skipped advertisement during the period that the nearest person watches the advertisement, eliminating the advertisement with the same or similar type as the skipped advertisement in the preset sequence, generating a cache first play list, and playing the advertisement according to the cache first play list;
step 5, judging whether the nearest person clicks the coupon during the advertisement watching period, if so, entering step 6, otherwise, entering step 3;
step 6, obtaining the type corresponding to the clicked coupon advertisement during the period that the nearest person watches the advertisement; removing the advertisements with the same or similar types as the clicked coupon advertisements in the preset sequence to generate a cache second play list, and playing the advertisements according to the cache second play list; or ordering the advertisements with the same or similar types as the received coupon advertisements in the preset sequence to generate a cache third play list, and playing the advertisements according to the cache third play list.
The embodiments of the present invention have been presented for purposes of illustration and description, and are not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiment was chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
Claims (8)
1. An advertisement putting method based on portrait recognition is characterized by comprising the following steps:
s1, acquiring images of nearest personnel in a preset range in front of the advertising player;
s2, judging whether the nearest personnel faces the advertising machine, if yes, the step S3 is carried out, and if no, the step S1 is carried out;
s3, playing the advertisement according to the predetermined sequence, judging whether the recent people have skipped advertisements during watching the advertisement, if yes, going to step S4, otherwise, going to step S5;
s4, obtaining the type corresponding to the skipped advertisement during the period that the nearest person watches the advertisement, eliminating the advertisement with the same or similar type as the skipped advertisement in the preset sequence, generating a cache first play list, and playing the advertisement according to the cache first play list;
s5, judging whether the nearest person clicks the coupon during the advertisement watching period, if yes, entering the step S6, otherwise, entering the step S3;
s6, obtaining the type corresponding to the clicked coupon advertisement during the period that the nearest person watches the advertisement; removing the advertisements with the same or similar types as the clicked coupon advertisements in the preset sequence to generate a cache second play list, and playing the advertisements according to the cache second play list; or ordering the advertisements with the same or similar types as the received coupon advertisements in the preset sequence to generate a cache third play list, and playing the advertisements according to the cache third play list.
2. The method of claim 1, wherein the predetermined range is a distance that can be interacted with the advertising machine.
3. An advertising method based on portrait recognition according to claim 1, wherein the step of determining whether the nearest person faces the advertising player comprises:
and judging whether four eye corners of the two eyes of the nearest person are identified, if so, judging that the nearest person faces the advertising machine, and if not, judging that the nearest person does not face the advertising machine.
4. An advertising method based on portrait recognition according to claim 1, wherein the step of determining whether the nearest person faces the advertising player comprises:
judging whether four eye angles of two eyes of the nearest person are identified, if so, entering the next step, and if not, judging that the nearest person does not face the advertising machine;
acquiring the distance between the two eyes of the nearest person as A and B respectively, and acquiring max (A, B);
and judging whether | A-B |/max (A, B) is greater than or equal to 0.5, if so, judging that the nearest person faces the advertising machine, and if not, judging that the nearest person does not face the advertising machine.
5. The method for advertising based on portrait recognition as claimed in claim 1, wherein after obtaining the type corresponding to the clicked coupon advertisement during the recent people watching the advertisement, further comprising:
and storing the clicked coupon in a coupon storage box.
6. The method for advertising based on portrait recognition according to claim 5, wherein after storing the clicked coupon in the coupon storage box, the method further comprises:
packaging the coupons stored in the coupon storage frame and generating a two-dimensional code link for acquiring the packaged coupons; and the user can obtain the two-dimension code of the packaged coupon by scanning the two-dimension code.
7. The method for delivering advertisements based on human image recognition as claimed in claim 1, wherein the advertisements with the same or similar type as the clicked coupon advertisement in the predetermined sequence are removed to generate a cached second playlist, and the advertisements are played according to the cached second playlist; or ordering the advertisements with the same or similar type as the clicked coupon advertisement in a preset sequence to generate a cached third play list, and playing the advertisements according to the cached third play list, wherein the method comprises the following steps:
acquiring the gender characteristics of the nearest viewer;
when the recent viewer is male, removing the advertisements with the same or similar types as the clicked coupon advertisements in the preset sequence to generate a cache second play list, and playing the advertisements according to the cache second play list;
and when the latest viewer is female, ordering the advertisements with the same or similar types as the clicked coupon advertisement in a preset sequence to generate a cached third play list, and playing the advertisements according to the cached third play list.
8. An artificial intelligence advertisement delivery system based on image recognition includes:
step 1, obtaining images of nearest personnel in a preset range in front of the advertising machine 1;
step 2, judging whether the nearest personnel face the advertising player 1, if so, entering step 3, and if not, entering step 1;
step 3, playing the advertisements according to a preset sequence, judging whether the recent people have skipped advertisements during watching the advertisements, if so, entering step 4, otherwise, entering step 5;
step 4, obtaining the type corresponding to the skipped advertisement during the period that the nearest person watches the advertisement, eliminating the advertisement with the same or similar type as the skipped advertisement in the preset sequence, generating a cache first play list, and playing the advertisement according to the cache first play list;
step 5, judging whether the nearest person clicks the coupon during the advertisement watching period, if so, entering step 6, otherwise, entering step 3;
step 6, obtaining the type corresponding to the clicked coupon advertisement during the period that the nearest person watches the advertisement; removing the advertisements with the same or similar types as the clicked coupon advertisements in the preset sequence to generate a cache second play list, and playing the advertisements according to the cache second play list; or ordering the advertisements with the same or similar types as the received coupon advertisements in the preset sequence to generate a cache third play list, and playing the advertisements according to the cache third play list.
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