BR102020018747A2

BR102020018747A2 - System and method of detection of fraud in weighing individuals

Info

Publication number: BR102020018747A2
Application number: BR102020018747-3A
Authority: BR
Inventors: José Andrade Trigo; Sandra Cristina Azevedo Rocha; Welton De Abreu
Original assignee: Jose Andrade Trigo; Sandra Cristina Azevedo Rocha; Welton De Abreu
Priority date: 2020-09-14
Filing date: 2020-09-14
Publication date: 2022-03-29
Also published as: WO2022051826A1

Abstract

A presente invenção revela um sistema de detecção de burla em pesagem de indivíduos onde é analisada uma pluralidade de medidas instantâneas da massa dos mesmos, sendo essas medidas captadas em um determinado intervalo de tempo e, detectando discrepâncias entre as mesmas, resulta-se na invalidação da pesagem. O sistema ainda tem a possibilidade de compreender a funcionalidade de autenticação do indivíduo a ser pesado por meio de um leitor de impressão digital (4). Adicionalmente, a presente invenção apresenta um Método de Detecção de Burla em Pesagem de Indivíduos em que é analisada a variação das medidas instantâneas de massa corpórea de um indivíduo realizadas em um determinado intervalo de tempo e, com essa análise, constata-se se ocorreu ou não tentativa de burla na pesagem.

The present invention reveals a fraud detection system in weighing individuals where a plurality of instantaneous measurements of their mass are analyzed, these measurements being captured in a certain time interval and, detecting discrepancies between them, resulting in invalidation. of weighing. The system also has the possibility to understand the authentication functionality of the individual to be weighed through a fingerprint reader (4). Additionally, the present invention presents a Fraud Detection Method in Weighing Individuals in which the variation of instantaneous measurements of an individual's body mass performed in a certain time interval is analyzed and, with this analysis, it is verified whether or not no attempt to cheat at the weigh-in.

Description

SCAM DETECTION SYSTEM AND METHOD IN INDIVIDUAL WEIGHING

Field of invention:

[001] A presente invenção se insere no campo da mensuração de massa corporal de indivíduos, mais precisamente na averiguação da veracidade da medida.[001] The present invention is part of the field of measuring the body mass of individuals, more precisely in the verification of the veracity of the measure.

Fundamentals of the invention:

[002] As modalidades esportivas de combate destacam-se tanto do ponto de vista histórico, quanto à sua representatividade em competições internacionais, como os Jogos Olímpicos. Os esportes de combate bem como as artes marciais estão presentes em nosso país desde o início do século XX e são atividades corporais que influenciam nossa sociedade com seus valores, traços culturais e participação popular, propiciando muitos benefícios tanto na saúde física quanto mental de seus praticantes. Atualmente podem ser consideradas atividades de física, defesa pessoal, prática esportiva, além de serem constantemente associadas a um estilo de vida.[002] Combat sports stand out both from a historical point of view, as well as their representativeness in international competitions, such as the Olympic Games. Combat sports as well as martial arts have been present in our country since the beginning of the 20th century and are bodily activities that influence our society with their values, cultural traits and popular participation, providing many benefits both in the physical and mental health of their practitioners. . Currently, they can be considered physical activities, self-defense, sports, in addition to being constantly associated with a lifestyle.

[003] Os esportes de combate abrangem todas as modalidades que envolvam dois atletas disputando entre si a vitória de uma luta, sendo ela determinada por pontos, perda dos sentidos, desistência ou desclassificação. Na tentativa de que as disputas sejam mais equilibradas, são encontradas divisões por categorias de idade, peso e, algumas vezes graduação.[003] Combat sports cover all modalities that involve two athletes disputing each other for the victory of a fight, which is determined by points, loss of consciousness, withdrawal or disqualification. In an attempt to make the disputes more balanced, divisions are found by categories of age, weight and, sometimes, graduation.

[004] Estudos demonstram que a maior parte dos atletas tem dificuldade em se manter dentro dos limites de peso de sua categoria. A maioria dos competidores reduz grande quantidade de seu peso dias antes das competições, com o intuito de enquadrar-se em categorias mais leves do que a correspondente do seu peso habitual. Após a pesagem o atleta recupera parte do peso perdido para a luta, a fim de obter vantagem em relação ao seu oponente.[004] Studies show that most athletes have difficulty keeping within the weight limits of their category. Most competitors reduce a large amount of their weight days before competitions, in order to fit into lighter categories than their usual weight. After the weigh-in, the athlete regains part of the weight lost for the fight, in order to gain an advantage over his opponent.

[005] Entretanto essa prática é bastante desgastante para o atleta devido à restrição severa na ingestão de alimentos e líquidos, exercícios extenuantes, treinamento com roupas emborrachadas, utilização de saunas, indução de vômitos, e o uso de agentes farmacológicos, como laxantes e diuréticos. Essas práticas são potencialmente prejudiciais à saúde, pois causam efeitos fisiológicos adversos.[005] However, this practice is quite exhausting for the athlete due to severe restriction in food and liquid intake, strenuous exercise, training with rubber clothes, use of saunas, inducing vomiting, and the use of pharmacological agents such as laxatives and diuretics. . These practices are potentially harmful to health as they cause adverse physiological effects.

[006] Devido a essas complicações há atletas que, de alguma forma, tentam manipular o resultado com intuito de obter um valor de medição abaixo do valor real e dentro da categoria desejada. Tendo isto em vista, faz-se necessário o desenvolvimento de uma solução de detecção dos tipos possíveis de manipulação de valores de pesagem de indivíduos.[006] Due to these complications there are athletes who, somehow, try to manipulate the result in order to obtain a measurement value below the real value and within the desired category. Bearing this in mind, it is necessary to develop a solution to detect the possible types of manipulation of individual weighing values.

State of the Technique:

[007] Atualmente encontramos algumas balanças voltadas a detecção de manipulação de resultados que apresentam certa similaridade para com a presente invenção. Entretanto a presente invenção contém recursos onde elimina problemas técnicos presentes em tais balanças contidas no estado da técnica.[007] Currently we find some balances aimed at the detection of manipulation of results that present some similarity to the present invention. However, the present invention contains resources where it eliminates technical problems present in such balances contained in the state of the art.

[008] Para ressaltar esse entendimento podemos observar o documento US9901289 "BIOMEASURAMENT DEVICE WITH USER VERIFICATION AND METHODS OF USING THE SAME" que revela um dispositivo e um método de pesagem que contém um sistema de detecção de burla e práticas não saudáveis de emagrecimento. A detecção da possível burla utiliza uma imagem ou um vídeo do usuário, feito na hora da pesagem, que verifica alguns aspectos como a linha de contorno corporal da imagem e as compara com o peso medido e com dados armazenados anteriormente.[008] To emphasize this understanding, we can observe the document US9901289 "BIOMEASURAMENT DEVICE WITH USER VERIFICATION AND METHODS OF USING THE SAME" which reveals a device and a weighing method that contains a fraud detection system and unhealthy weight loss practices. The detection of possible fraud uses an image or a video of the user, taken at the time of weighing, which checks some aspects such as the body contour line of the image and compares them with the measured weight and with previously stored data.

[009] As diferenças entre a solução apresentada no documento supracitado para com a presente invenção são consideravelmente grandes, como por exemplo: a necessidade do uso de imagens do indivíduo na hora da pesagem. Entretanto, a maior diferença se dá na necessidade de se obter uma pesagem prévia do indivíduo para fins de comparação.[009] The differences between the solution presented in the aforementioned document and the present invention are considerably large, such as: the need to use images of the individual at the time of weighing. However, the biggest difference is in the need to obtain a previous weighing of the individual for comparison purposes.

Brief description of the invention:

[010] A presente invenção revela um sistema de detecção de burla em pesagem de qualquer indivíduo, onde é analisado uma pluralidade de medidas instantâneas da massa dele, sendo essas medidas captadas em um determinado intervalo de tempo e, detectando discrepâncias entre as mesmas, resulta-se na invalidação da pesagem. O sistema ainda tem a possibilidade de compreender a funcionalidade de autenticação do indivíduo a ser pesado por meio de um leitor de impressão digital (4) . Adicionalmente, a presente invenção apresenta um Método de Detecção de Burla em Pesagem de Indivíduos em que é analisada a variação das medidas instantâneas de massa corpórea de um indivíduo realizadas em um determinado intervalo de tempo e, com essa análise, constata-se se ocorreu ou não tentativa de burla na pesagem.[010] The present invention reveals a fraud detection system in weighing any individual, where a plurality of instantaneous measurements of his mass are analyzed, these measurements being captured in a certain time interval and, detecting discrepancies between them, results up in the invalidation of the weighing. The system also has the possibility of understanding the authentication functionality of the individual to be weighed through a fingerprint reader (4) . Additionally, the present invention presents a Fraud Detection Method in Weighing Individuals in which the variation of instantaneous measurements of an individual's body mass performed in a certain time interval is analyzed and, with this analysis, it is verified whether or not no attempt to cheat at the weigh-in.

Brief description of figures:

[011] Para obter uma total e completa visualização do objeto desta invenção, são apresentadas as figuras as quais se faz referências, conforme se segue.[011] In order to obtain a total and complete visualization of the object of this invention, the figures to which references are made are presented, as follows.

[012] A figura 1 mostra a representação do Sistema e as interações de seus elementos, em uma configuração da presente invenção.[012] Figure 1 shows the representation of the System and the interactions of its elements, in a configuration of the present invention.

[013] A figura 2 mostra a representação do Sistema e as interações de seus elementos, em uma configuração da presente invenção.[013] Figure 2 shows the representation of the System and the interactions of its elements, in a configuration of the present invention.

[014] A figura 3 mostra as etapas do Método e seus respectivos processos, na forma preferencial da presente invenção.[014] Figure 3 shows the steps of the Method and their respective processes, in the preferred form of the present invention.

[015] A figura 4 mostra um exemplo de variação de pesagens instantâneas em uma pesagem normal, sem burla.[015] Figure 4 shows an example of variation of instantaneous weighing in a normal weighing, without fraud.

[016] A figura 5 mostra um exemplo de variação de pesagens instantâneas em uma pesagem burlada.[016] Figure 5 shows an example of variation of instantaneous weighing in a cheated weighing.

[017] A figura 6 mostra o gráfico referente ao critério 5: Módulo da diferença entre a média do segmento e a média global da sessão de pesagem do método.[017] Figure 6 shows the graph referring to criterion 5: Module of the difference between the segment average and the global average of the method weighing session.

Detailed description of the invention:

[018] A presente invenção, conforme observado na figura 1, revela um sistema de detecção de burla em pesagem de indivíduos onde é analisado uma pluralidade de medidas instantâneas da massa do mesmo sendo essas medidas captadas em um determinado intervalo de tempo e, detectando discrepâncias entre as mesmas, resulta-se na invalidação da pesagem. O referido sistema compreende, em sua configuração essencial, em: uma balança digital (1); uma unidade de processamento (2); e um visor (3).[018] The present invention, as seen in Figure 1, reveals a fraud detection system in weighing individuals where a plurality of instantaneous measurements of the mass of the same are analyzed, these measurements being captured in a certain time interval and, detecting discrepancies between them, the weighing is invalidated. Said system comprises, in its essential configuration, in: a digital scale (1); a processing unit (2); and a display (3).

[019] A balança digital (1) tem a função de medir a massa corpórea do indivíduo uma pluralidade de vezes por um determinado intervalo de tempo e fornecer essa pluralidade de medidas instantâneas a unidade de processamento (2). A balança (1) deve ter a capacidade de medir a massa corpórea do indivíduo pelo menos 10 vezes a cada segundo e ter meios de comunicação para envio dos dados da pesagem.[019] The digital scale (1) has the function of measuring the individual's body mass a plurality of times for a certain time interval and providing this plurality of instantaneous measurements to the processing unit (2). The scale (1) must have the ability to measure the individual's body mass at least 10 times every second and have communication means to send weighing data.

[020] A unidade de processamento (2) tem a função de receber as informações da balança (1), processar essas informações, detectar discrepâncias entre as mesmas, interpretar essas discrepâncias e, com essa interpretação, constatar a validade da pesagem.[020] The processing unit (2) has the function of receiving information from the balance (1), processing this information, detecting discrepancies between them, interpreting these discrepancies and, with this interpretation, verifying the validity of the weighing.

[021] Vale ressaltar que, quando um indivíduo se encontra na posição ortostática, vulgo "de pé", o mesmo não se encontra totalmente estático e sim constantemente buscando o equilíbrio. Esse reequilíbrio constante gera, na balança digital (1), uma variação entre as medidas instantâneas da massa corpórea do indivíduo, onde a validação da pesagem é constatada de acordo com a análise dessa variação.[021] It is worth mentioning that, when an individual is in the orthostatic position, known as "standing", he is not completely static, but constantly seeking balance. This constant rebalancing generates, on the digital scale (1), a variation between the instantaneous measurements of the individual's body mass, where the validation of the weighing is verified according to the analysis of this variation.

[022] Se a pesagem for considerada válida, o processador (2) fornece o valor médio das medidas de massa corpórea do indivíduo para o visor (3). Se a pesagem for considerada inválida, a unidade de processamento (2) fornece uma mensagem ao visor (3) assinalando a invalidade da mesma.[022] If the weighing is considered valid, the processor (2) provides the average value of the individual's body mass measurements to the display (3). If the weighing is considered invalid, the processing unit (2) provides a message to the display (3) indicating its invalidity.

[023] O visor (3) tem a função de receber informações provindas da unidade de processamento (2) e apresentar as mesmas, em que essas informações são o valor médio das medidas da massa corpórea do indivíduo pesado ou uma mensagem de invalidez da pesagem.[023] The display (3) has the function of receiving information from the processing unit (2) and presenting the same, in which this information is the average value of the measurements of the body mass of the weighed individual or a message of invalidity of the weighing .

[024] O sistema ainda tem a possibilidade de compreender a funcionalidade de autenticação do indivíduo a ser pesado, para isso a unidade de processamento (2) deve ter a capacidade de se conectar à internet (8) para o estabelecimento da comunicação com um servidor (6) na rede. O sistema, para autenticar o indivíduo a ser pesado, deve compreender ainda, conforme observado na figura 2, um leitor de impressão digital (4), pelo menos um dispositivo eletrônico móvel (5), um servidor (6) e um banco de dados (7).[024] The system still has the possibility to understand the authentication functionality of the individual to be weighed, for this the processing unit (2) must have the ability to connect to the internet (8) to establish communication with a server (6) on the net. The system, to authenticate the individual to be weighed, must also comprise, as seen in Figure 2, a fingerprint reader (4), at least one mobile electronic device (5), a server (6) and a database (7).

[025] O leitor de impressão digital (4) tem a função auxiliar a identificação do indivíduo a ser pesado através do escaneamento da impressão digital da região plantar do pé, vulgo sola do pé, ou parte da mesma e fornecer os dados referentes a impressão digital para a unidade de processamento (2).[025] The fingerprint reader (4) has the function of assisting the identification of the individual to be weighed by scanning the fingerprint of the plantar region of the foot, commonly known as the sole of the foot, or part of it and providing the data referring to the impression. digital to the processing unit (2).

[026] A unidade de processamento (2), por sua vez, envia os dados referentes a impressão digital da região plantar do pé do indivíduo a ser pesado para o servidor (6).[026] The processing unit (2), in turn, sends the data regarding the fingerprint of the plantar region of the individual's foot to be weighed to the server (6).

[027] O dispositivo eletrônico móvel (5) tem a função de fazer a interface entre o usuário (indivíduo a ser pesado) e o sistema, realizar o cadastro das informações dos usuários, fornecer as informações do cadastro de usuário para o servidor (6), auxiliar na autenticação de login de usuário no sistema fornecendo as informações de login para o servidor (6) , permitir o acesso do usuário ao sistema, receber do servidor mensagem de invalidação da autenticação de login de usuário. O dispositivo eletrônico móvel (5) deve conter meios de conexão à internet (8).[027] The mobile electronic device (5) has the function of making the interface between the user (individual to be weighed) and the system, performing the registration of user information, providing the user registration information to the server (6 ), assist in user login authentication in the system by providing login information to the server (6) , allow user access to the system, receive user login authentication invalidation message from the server. The mobile electronic device (5) must contain means of connection to the internet (8).

[028] Vale ressaltar que as informações de login do usuário estão contidas nas informações de cadastro de usuários, que o acesso do usuário ao sistema é permitido se as informações de login inseridas pelo usuário forem correspondentes às informações de login salvas no banco de dados (7) e a mensagem de invalidação da autenticação é enviada se as informações de login inseridas pelo usuário não forem correspondentes às informações de login salvas no bando de dados (7).[028] It is worth mentioning that the user login information is contained in the user registration information, that user access to the system is allowed if the login information entered by the user matches the login information saved in the database ( 7) and the authentication invalid message is sent if the login information entered by the user does not match the login information saved in the database (7).

[029] O banco de dados (7) tem a função de armazenar as informações referentes ao cadastro e à impressão digital da região plantar do pé dos usuários do sistema (indivíduos a serem pesados) e permitir acesso as mesmas pelo servidor (6) .[029] The database (7) has the function of storing information regarding the registration and fingerprint of the foot plantar region of the system users (individuals to be weighed) and allowing access to them by the server (6) .

[030] O servidor (6) tem a função de gerenciar a autenticação do login do usuário (indivíduo a ser pesado) e de gerenciar a verificação da identidade do indivíduo a ser pesado.[030] The server (6) has the function of managing the authentication of the user login (individual to be weighed) and of managing the verification of the identity of the individual to be weighed.

[031] Na primeira vez em que um usuário (indivíduo a ser pesado) for fazer uso da presente invenção o servidor (6) recebe do dispositivo eletrônico móvel (5) as informações de cadastro do usuário, recebe as informações da impressão digital da região plantar do pé do usuário e armazena as mesmas no banco de dados de forma vinculada.[031] The first time a user (individual to be weighed) uses the present invention, the server (6) receives from the mobile electronic device (5) the user's registration information, receives the fingerprint information of the region of the user's foot and stores them in the database in a linked manner.

[032] Nas demais vezes em que um usuário (indivíduo a ser pesado) for fazer uso da presente invenção o servidor (6) recebe do dispositivo eletrônico móvel (5) as informações de login de um usuário e verifica se as mesmas estão de acordo com as informações de login armazenadas no banco de dados (7). O servidor (7) ainda recebe da unidade de processamento (2) as informações da impressão digital da região plantar do pé do usuário e verifica se as mesmas estão de acordo com as informações da impressão digital da região plantar do pé armazenadas no banco de dados (7).[032] In other times when a user (individual to be weighed) uses the present invention, the server (6) receives from the mobile electronic device (5) the login information of a user and checks if they are in accordance with the login information stored in the database (7). The server (7) still receives from the processing unit (2) the fingerprint information of the user's plantar region and verifies that they are in accordance with the information of the fingerprint of the plantar region of the foot stored in the database. (7).

[033] Se as informações de login de um usuário não estiverem de acordo com as informações de login armazenadas no banco de dados (7), o servidor (6) não permite o acesso do usuário (indivíduo a ser pesado) ao sistema, não sendo realizada a pesagem.[033] If a user's login information does not match the login information stored in the database (7), the server (6) does not allow the user (individual to be weighed) access to the system, no weighing being performed.

[034] Se as informações de impressão digital da região plantar do pé do usuário não estiverem de acordo com as informações de impressão digital da região plantar do pé do usuário armazenadas no banco de dados (7), o servidor (6) invalida a pesagem.[034] If the fingerprint information of the user's plantar region does not match the fingerprint information of the user's plantar region stored in the database (7), the server (6) invalidates the weighing .

[035] Adicionalmente, a presente invenção apresenta um Método de Detecção de Burla em Pesagem de Indivíduos, conforme observado na figura 3, em que é analisada a variação das medidas instantâneas de massa corpórea de um indivíduo realizadas em um determinado intervalo de tempo e, com essa análise, constata-se se ocorreu ou não tentativa de burla na pesagem. O referido método compreende, em sua configuração preferencial, nas seguintes etapas: aquisição e armazenamento de dados, divisão dos trechos de pesagem (slots) relativos aos parâmetros característicos, análise de trechos de pesagens (slots) e validação da pesagem.[035] Additionally, the present invention presents a Fraud Detection Method in Weighing Individuals, as seen in Figure 3, in which the variation of instantaneous measurements of an individual's body mass performed in a given time interval is analyzed and, with this analysis, it is verified whether or not there was an attempt to cheat in the weighing. Said method comprises, in its preferred configuration, the following steps: data acquisition and storage, division of weighing sections (slots) related to characteristic parameters, analysis of weighing sections (slots) and weighing validation.

[036] Na etapa 1, de aquisição e armazenamento de dados, são adquiridas as medições instantâneas da massa corpórea de um indivíduo por um determinado intervalo de tempo, realizados por uma balança digital. Tais medições são estruturadas em forma de "linha do tempo" e armazenadas como uma série temporal em memória embarcada para análise posterior.[036] In step 1, data acquisition and storage, instant measurements of an individual's body mass are acquired for a certain time interval, performed by a digital scale. Such measurements are structured in the form of a "timeline" and stored as a time series in embedded memory for further analysis.

[037] Na etapa 2, de divisão dos trechos de pesagem (slots) relativos aos parâmetros característicos, para cada parâmetro característico, a série temporal é dividida em uma determinada quantidade de slots de diferentes tamanhos, contendo medições consecutivas em relação à linha do tempo do total de medições.[037] In step 2, division of weighing sections (slots) related to characteristic parameters, for each characteristic parameter, the time series is divided into a certain number of slots of different sizes, containing consecutive measurements in relation to the timeline of the total measurements.

[038] É utilizada uma pluralidade de parâmetros característicos para a constatação da ocorrência de tentativa de burla na pesagem. Os mesmos são preferencialmente, mas não se limitam a:

1) Diferença entre o peso instantâneo máximo e o peso instantâneo mínimo no slot;
2) Razão entre a variância das pesagens e a variância das diferenças entre as pesagens;
3) Coeficientes da curva de regressão polinomial (pesagem em função do tempo);
4) Curtose da amostra;
5) Módulo da diferença entre a média do segmento e a média global da sessão de pesagem;
6) Quantidade de picos e vales de alta intensidade dividido pelo intervalo de tempo do slot;
7) Quantidade de picos e vales de alta intensidade dividido pelo intervalo de tempo do slot, multiplicado pela raiz quadrada do valor médio da pesagem;
8) Tempo de estabilização de picos e vales;
9) Tempo de estabilização de picos e vales dividido pelo valor médio da pesagem; e
10) Coeficientes da Transformada Rápida de Fourier.

[038] A plurality of characteristic parameters is used to verify the occurrence of a fraud attempt in the weighing. These are preferably, but not limited to:

1) Difference between the maximum instantaneous weight and the minimum instantaneous weight in the slot;
2) Ratio between the variance of the weighings and the variance of the differences between the weighings;
3) Polynomial regression curve coefficients (weighing as a function of time);
4) Sample kurtosis;
5) Module of the difference between the segment average and the global average of the weighing session;
6) Number of high intensity peaks and valleys divided by the slot time interval;
7) Number of high-intensity peaks and valleys divided by the slot time interval, multiplied by the square root of the average weighing value;
8) Peak and valley stabilization time;
9) Peak and valley stabilization time divided by the average weight value; and
10) Fast Fourier Transform Coefficients.

[039] Para cada um dos parâmetros característicos é atribuído um intervalo de tempo de slots diferente pelo fato dos parâmetros terem a necessidade de avaliações diferenciadas. Os intervalos de tempo dos slots preferencias dos parâmetros característicos estão contidos na tabela a seguir:

[039] For each of the characteristic parameters, a different slot time interval is assigned because the parameters need different evaluations. The time intervals of the preferred slots of the characteristic parameters are contained in the following table:

[040] Na etapa 3, análise de slots, cada parâmetro característico é analisado individualmente em cada um dos slots, onde se compara a estimativa do parâmetro característico com uma faixa considerada aceitável. Toda vez que a estimativa se encontra fora desta faixa, diz-se que aquele slot daquele parâmetro característico é inválido. Essa análise de slots possui faixas de aceitação específicas para cada parâmetro característico conforme detalhado na tabela a seguir:

[040] In step 3, slot analysis, each characteristic parameter is analyzed individually in each of the slots, where the estimate of the characteristic parameter is compared with a range considered acceptable. Whenever the estimate is outside this range, that slot for that characteristic parameter is said to be invalid. This slot analysis has specific acceptance ranges for each characteristic parameter as detailed in the following table:

[041] Na etapa 4, validação da pesagem, é verificada a quantidade de slots inválidos para cada um dos parâmetros característicos. Se essa quantidade for maior que uma determinada porcentagem, estabelecida conforme tabela a seguir, é constatada a tentativa de burla na pesagem e esta é invalidada.

[041] In step 4, weighing validation, the number of invalid slots for each of the characteristic parameters is checked. If this amount is greater than a certain percentage, established according to the following table, the attempt to evade the weighing is verified and it is invalidated.

Application example:

[042] Conforme observado nas figuras 4 e 5, podemos notar a diferença dos padrões de variação de pesagens instantâneas em uma pesagem normal, sem tentativa de burla, e uma pesagem burlada.[042] As seen in figures 4 and 5, we can see the difference in the patterns of variation of instantaneous weighing in a normal weighing, without an attempt to cheat, and a cheated weighing.

[043] Na figura 6 observamos o gráfico referente a avaliação do critério 5 do Método de Detecção de Burla, em que é monitorada o Módulo da diferença entre a média do segmento e a média global da sessão de pesagem dividido pela média global da pesagem referente a pesagem da figura 5.[043] In figure 6 we see the graph referring to the evaluation of criterion 5 of the Scam Detection Method, in which the Module of the difference between the segment average and the global average of the weighing session is monitored, divided by the global average of the referring weighing the weight in figure 5.

[044] Conforme mencionado o Módulo da diferença entre a média do segmento e a média global da sessão de pesagem dividido pela média global da pesagem em um slot, para ser considerado como válido, deve ser inferior a 0,006.[044] As mentioned in the Module the difference between the segment average and the global average of the weighing session divided by the global average of the weighing in a slot, to be considered valid, it must be less than 0.006.

[045] Na figura 6, conforme destacado, o valor do Módulo da diferença entre a média do segmento e a média global da sessão de pesagem dividido pela média global da pesagem em um dos slots de tempo ultrapassa o valor de limiar de 0,006. Isso acarreta na invalidação do slot.[045] In Figure 6, as highlighted, the Modulus value of the difference between the segment average and the global average of the weighing session divided by the global average of the weighing in one of the time slots exceeds the threshold value of 0.006. This causes the slot to be invalidated.

[046] Uma vez que, conforme mencionado, se 10% dos slots forem invalidados a pesagem é detectada a tentativa burla da mesma.[046] Since, as mentioned, if 10% of the slots are invalidated, the weighing attempt is detected.

[047] Os versados na arte valorizarão os conhecimentos aqui apresentados e poderão reproduzir a invenção nas modalidades apresentadas e em outras variantes, abrangidas no escopo das reivindicações anexas.[047] Those skilled in the art will appreciate the knowledge presented here and will be able to reproduce the invention in the modalities presented and in other variants, covered by the scope of the appended claims.

Claims

Fraud Detection System in Individual Weighing characterized by the fact of collecting and analyzing a plurality of instantaneous measurements of an individual's body mass, detecting discrepancies between instantaneous measurements of body mass, verifying the occurrence of attempted fraud in weighing and understanding: a digital scale (1); a processing unit (2); and a display (3).

System, according to claim 1, characterized in that the digital scale (1) measures the individual's body mass a plurality of times for a given time interval and provides this plurality of instantaneous measurements to the processing unit (2), in which it has the ability to measure the individual's body mass at least 10 times every second.

System according to claim 1, characterized in that the processing unit (2) receives the individual's body mass information from the scale (1), processes the individual's body mass information, detects discrepancies between the mass information individual's body, interpret these discrepancies and verify the validity of the weighing.

System, according to claim 1 or 3, characterized in that the analysis of discrepancies between the information on the body mass are carried out in the variations between the instantaneous measurements of the individual's body mass.

System, according to any one of claims 1, 3 or 4, characterized in that the processor (2) provides the average value of the individual's body mass measurements or a message indicating the invalidity of the weighing to the display (3).

System, according to claim 1, characterized in that the display (3) receives information from the processing unit (2) and presents the same;
where the information is the average value of the body mass measurements of the individual weighed or a message indicating the invalidity of the weighing.

Fraud Detection System in Individual Weighing characterized by the fact of identifying and authenticating the individual to be weighed, collecting and analyzing a plurality of instantaneous measurements of the body mass of an individual, detecting discrepancies between the instantaneous measurements of the body mass, verifying the occurrence of trying to cheat in weighing and understanding: a digital scale (1); a processing unit (2); a display (3); a fingerprint reader (4), at least one mobile electronic device (5); a server (6); and a database (7).

System, according to claim 7, characterized in that the digital scale (1) measures the individual's body mass a plurality of times for a given time interval and provides this plurality of instantaneous measurements to the processing unit (2),
in which it has the ability to measure the individual's body mass at least 10 times every second.

System, according to claim 7, characterized in that the processing unit (2) receives the individual's body mass information from the scale (1), processes the individual's body mass information, detects discrepancies between the mass information individual's body, interpret these discrepancies, verify the validity of the weighing, receive from the fingerprint reader (4) information regarding the scanning of the fingerprint of the plantar region of the foot or part of it of the individual to be weighed, have means of connection to the internet, establish communication with the server (6), send information regarding the scanning of the fingerprint of the plantar region of the foot or part of it and the body mass of the individual to be weighed to the server (6) and receive information regarding authentication of the individual to be weighed from the server (6).

System, according to claim 7 or 9, characterized in that the analysis of discrepancies between the information on the body mass is performed in the variation between the instantaneous measurements of the individual's body mass.

System, according to any one of claims 7, 9 or 10, characterized in that the processor (2) provides the average value of the individual's body mass measurements or a message indicating the invalidity of the weighing to the display (3).

System, according to claim 7, characterized in that the display (3) receives information from the processing unit (2) and presents the same,
where the information is the average value of the body mass measurements of the individual weighed or a message indicating the invalidity of the weighing.

System, according to claim 7, characterized in that the fingerprint reader (4) scans the fingerprint of the plantar region of the foot or part of it and provides the data regarding the fingerprint to the processing unit (2).

System, according to claim 7, characterized in that the mobile electronic device (5) interfaces between the individual to be weighed and the system, registers user information, provides user registration information to the server (6), assist in user login authentication in the system by providing login information to the server (6), allow user access to the system, receive user login authentication invalidation message from server, contain means of connection to the internet (8) and establish communication with the server (6).

System, according to claim 7, characterized in that the database (7) stores information regarding the registration and fingerprint of the plantar region of the individuals' foot and allows the server (6) to access them.

System according to claim 7, characterized in that the server (6) manages the authentication of the user login (individual to be weighed) and the verification of the identity of the individual to be weighed,
where the first time a user (individual to be weighed) makes use of the present invention, the server (6) receives from the mobile electronic device (5) the registration information and receives from the processing unit (2) the printing information digital image of the plantar region of the user's foot and stores them in the database in a linked manner,
at other times when a user (individual to be weighed) is going to make use of the present invention, the server (6) receives from the mobile electronic device (5) the login information of a user and verifies that they are in accordance with the information login data stored in the database (7), receives from the processing unit (2) the fingerprint information of the user's plantar region of the foot and verifies that they are in accordance with the information of the fingerprint of the plantar region of the foot stored in the database (7);
where if a user's login information does not agree with the login information stored in the database (7), the server (6) does not allow the user (individual to be weighed) access to the system and is not carried out the weighing,
if the fingerprint information of the user's plantar region does not match the fingerprint information of the user's plantar region stored in the database (7), the weighing is invalid.

Method of Detection of Fraud in Weighing Individuals characterized by the fact that it analyzes the variation of instantaneous measurements of body mass of an individual carried out in a certain time interval, detecting whether or not there was an attempt to deceive in the weighing and understanding the following steps:

1) Data acquisition and storage;
2) Division of weighing sections (slots) related to the characteristic parameters;
3) Analysis of weighing sections (slots); and 4) Validation of weighing.

Method, according to claim 17, characterized in that in step 1, Data acquisition and storage, instant measurements of an individual's body mass are acquired for a certain time interval and stored in a time series in embedded memory.

Method, according to claim 17, characterized in that in step 2, Division of weighing sections (slots) related to the characteristic parameters, the time series is divided into a certain number of slots containing consecutive measurements in relation to the timeline of the total measurements,
where the slots are of different sizes for each of the characteristic parameters.

Method according to claim 17 or 19, characterized in that the characteristic parameters are preferably composed of a combination of:

Method according to any one of claims 17, 19 or 20, characterized in that the slot sizes for each characteristic parameter are preferably:

1) Up to 10 seconds for the Difference between the maximum instantaneous weight and the minimum instantaneous weight in slot divided by the global average of the weighing;
2) Up to 10 seconds for the Ratio between the variance of the weighings and the variance of the differences between the weighings;
3) More than 2 seconds for the coefficients of the polynomial regression curve (weighing as a function of time);
4) Up to 10 seconds (must contain at least 30 instantaneous weighings) for the Kurtosis of the sample;
5) Up to 10 seconds for the Module of the difference between the segment average and the global average of the weighing session divided by the global average of the weighing;
6) Greater than 2 seconds for the Amount of high intensity peaks and valleys divided by the slot time interval;
7) Greater than 2 seconds for the Amount of high intensity peaks and valleys divided by the slot time interval, multiplied by the square root of the average weighing value;
8) Up to 10 seconds for peaks and valleys stabilization time;
9) Up to 10 seconds for the peaks and valleys stabilization time divided by the average value of the weighing; and
10) Greater than 2 seconds for Fast Fourier Transform Coefficients.

Method according to claim 17, characterized in that in step 3, Slot analysis, each characteristic parameter is analyzed individually in each of the slots,
where the estimate of the characteristic parameter is compared with a range considered acceptable and if the estimate is outside this range, the slot is invalid.

Method, according to claim 17 or 22, characterized in that specific acceptance ranges for each characteristic parameter are preferably:

1) Below 0.1 for the Difference between the maximum instantaneous weight and the minimum instantaneous weight in slot divided by the global average of the weighing;
2) Less than 10.0 for the Ratio between the variance of weighings and the variance of differences between weighings;
3) Modulus of the first-order coefficient less than 0.5 and Modulus of the second-order coefficient less than 0.1 for the Coefficients of the polynomial regression curve (weighing as a function of time);
4) Greater than -2 for the Kurtosis of the sample;
5) Below 0.006 for the Modulus of the difference between the segment average and the global average of the weighing session divided by the global average of the weighing;
6) Between 2Hz and 20Hz for the amount of high intensity peaks and valleys divided by the slot time interval;
7) Between 10Hz*kg^(0.5) and 200Hz*kg^(0.5) for the Amount of high intensity peaks and valleys divided by the slot time interval, multiplied by the square root of the average weight value;
8) Up to 2 seconds for the peaks and valleys stabilization time;
9) Up to 2 s/kg for the peaks and valleys stabilization time divided by the average value of the weighing; and
10) Coefficient of the second vibration mode greater than 3% of the sum of the coefficients of the first 30 vibration modes; e Third vibration mode coefficient greater than 3% of the sum of the coefficients of the first 30 vibration modes.

Method, according to claim 17, characterized in that in step 4, Weighing validation, the number of invalid slots for each of the characteristic parameters is verified,
in which the attempt to evade the weighing is verified if this amount is greater than a certain percentage, invalidating the weighing.

Method, according to claim 24, characterized in that the invalidation percentages are:

1) 10% on the Difference between the maximum instantaneous weight and the minimum instantaneous weight in a slot divided by the global average of the weighing;
2) 10% in the Ratio between the variance of the weighings and the variance of the differences between the weighings;
3) 10% in the coefficients of the polynomial regression curve (weighing as a function of time);
4) 10% in the kurtosis of the sample;
5) 10% in the Module of the difference between the segment average and the global average of the weighing session divided by the global average of the weighing;
6) 10% on the Amount of high intensity peaks and valleys divided by the slot time interval;
7) 10% on the Amount of high intensity peaks and valleys divided by the slot time interval, multiplied by the square root of the average weighing value;
8) 10% on Peak and Valley Stabilization Time;
9) 10% on Peak and Valley Stabilization Time divided by the average weight value; and
10) 10% on Fast Fourier Transform Coefficients.