WO2023017535A1

WO2023017535A1 - A realtime nutrition and health monitoring system and method of operation thereof

Info

Publication number: WO2023017535A1
Application number: PCT/IN2022/050715
Authority: WO
Inventors: Ankur Jain
Original assignee: Udyogyantra Technologies Llp
Priority date: 2021-08-10
Filing date: 2022-08-09
Publication date: 2023-02-16

Abstract

The present invention relates to an IoT and AI based real time health and nutrition monitoring platform to digitize, authenticate, and monitor the food being served to an individual or group of people, specifically in last mile delivery. The present invention collects or acquires different parameters of food such as image, temperature, and weight along with the parameters of individual to whom that food is to be served such as facial recognition, weight, and height of the individual. The AI model ensures that the right nutrition is served to the individual at the last mile, based on the BMI of the individual to meet their nutritional level needs and therefore to improve their health. In addition to authentication of nutrition and the individual at the last mile, the system creates a digital health record of growth of the individual versus the nutrition being consumed.

Description

A REALTIME NUTRITION AND HEALTH MONITORING SYSTEM AND METHOD OF OPERATION THEREOF

CROSS REFERENCE TO RELATED APPLICATION

[001] This application is an improvement in or modification of Indian application titled “A SYSTEM AND METHOD FOR QUALITY CHECK OF COOKED AND PACKAGED FOOD”, Indian application number 202011008924, dated March 02, 2020, which has now been granted as Indian patent 365722 on April 29, 2021.

FIELD OF THE INVENTION

[002] The present invention generally relates to a nutrition and health monitoring system and method of its operation thereof. More specifically the present invention relates to an loT (Internet of things) and Al based real time health and nutrition monitoring platform to digitize, authenticate, and monitor the food being served at last mile.

BACKGROUND OF THE INVENTION

[003] A healthy diet is vital to reduce the risk of diseases and to have a strong, happy, and energetic lifestyle. Nowadays most of the people are very careful about what they feed their body and look towards the nutritional value of the foods they eat. The packaged food available in the grocery store generally have the information of the nutrient level present but frequent consumption of the packaged food is not good for health. However, the freshly cooked meals are heathy but presently there is no provision to analyze the nutritional level present in the cooked food/meal.

[004] Moreover, malnutrition is a major public health problem in undeveloped and developing countries. In India, 94 percent of children in the age group of 6 to 9 are mildly, moderately, or severely underweight. About 67.5 percent of children under 5 years and 69%of adolescent girls suffer from anaemia due to iron and folic acid deficiency. Undemutrition predisposes the child to infection and complements its effect in contributing to child mortality. [005] In some countries, the school meal distribution programme is designed to better the nutritional standing of school-age children nationwide. In India, the Mid-day Meal Scheme is a school meal programme of the Government, which supplies free lunches on working days for children serving 120,000,000 children, a minimum content of 300 calories of energy and 8- 12 gram protein per day for a minimum of 200 days, in over 1,265,000 schools and Education Guarantee Scheme centres, is the largest of its kind in the world. However, most of the monitoring of this scheme is manual and hence prone to system level inconsistencies in delivery. Manual execution of this last mile assembly is prone to errors and subjectivity and there are no standards / benchmarks on the food assembled at last mile.

[006] The importance of tracking nutrition being given to the children is important. Therefore, keeping in view of the problems associated with the state of the art, there is a need of a solution which ensures consistency and standardization of last file food assembly and serving process.

OBJECTIVE OF THE INVENTION

[007] The primary objective of the present invention is to provide a real time health and nutrition monitoring platform to digitize, authenticate, and monitor the food being served at last mile.

[008] Another objective of the present invention is to provide a health and nutrition monitoring platform which identifies the contents and nutritional value in food being served to any individual.

[009] Another objective of the present invention is to provide a health and nutrition monitoring platform which can predict the health trends based on the nutritional intake and BMI of an individual.

[0010] Other objects and advantages of the present invention will become apparent from the following description taken in connection with the accompanying drawings, wherein, by way of illustration and example, the aspects of the present invention are disclosed. SUMMARY OF INVENTION

[0011] The present invention generally relates to an loT and Al based real time the health and nutrition monitoring system and method of its operation. The present invention discloses a an enclosure with a front opening, a tray, a processing unit, a display unit, a fan opening, light source, a 1D/2D label code scanner and plurality of sensors incorporated with IOT nodes. The Al model detects the nutritional level in the meal that is placed in the enclosure of the health and nutrition monitoring system. Further, the system also acquires details of the individual to whom the meal is being served. The individual’s details like weight, height and face are acquired by the system to calculate the body mass index (BMI). The ML and trained Al model provides approval/rej ection to the meal for an individual, based on the nutrients need of the individual on the basis of his/her BMI and the nutrients level extracted from the meal.

BRIEF DESCRIPTION OF THE DRAWINGS

[0012] A complete understanding of the present invention may be obtained by reference to the accompanying drawings, when taken in conjunction with the detailed description thereof and in which:

[0013] Figure 1 illustrates the enclosure of the health and nutrition monitoring system;

[0014] Figure 2 illustrates the connection of the mini-computer with the cloud infrastructure;

[0015] Figure 3 illustrates the decision-making process of Al to authenticate the quality and quantity of food/meal;

[0016] Figure 4 illustrates the GUI of the display unit or Web or Mobile Application;

[0017] Figure 5 illustrates the health and nutrition monitoring for students in school meals; and [0018] Figure 6 illustrates the health and nutrition authentication on the basis of quality, quantity and traceability.

[0019] Figure 7 illustrates the flow chart for the method nutrition authentication on the basis of quality, quantity and traceability.

DETAILED DESCRIPTION OF THE INVENTION

[0020] The following description describes various features and functions of the disclosed system and method with reference to the accompanying figure. In the figure, similar symbols identify similar components, unless context dictates otherwise. The illustrative aspects described herein are not meant to be limiting. It may be readily understood that certain aspects of the disclosed system and method can be arranged and combined in a wide variety of different configurations, all of which are contemplated herein.

[0021] Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope of the invention. In addition, descriptions of well-known functions and constructions are omitted for clarity and conciseness

[0022] Features that are described and/or illustrated with respect to one embodiment may be used in the same way or in a similar way in one or more other embodiments and/or in combination with or instead of the features of the other embodiments.

[0023] The terms and words used in the following description and claims are not limited to the bibliographical meanings, but, are merely used to enable a clear and consistent understanding of the invention. Accordingly, it should be apparent to those skilled in the art that the following description of exemplary embodiments of the present invention are provided for illustration purpose only and not for the purpose of limiting the invention.

[0024] It is to be understood that the singular forms “a,” “an,” and “the” include plural referents unless the context clearly dictates otherwise [0025] It should be emphasized that the term “comprises/comprising” when used in this specification is taken to specify the presence of stated features, integers, steps or components but does not preclude the presence or addition of one or more other features, integers, steps, components or groups thereof. The equations used in the specification are only for computation purpose.

[0026] The present invention relates to an loT and Al based real time health and nutrition monitoring platform to digitize, authenticate, and monitor the food being served to an individual or group of people, specifically in last mile delivery. In accordance with the present invention, the system includes IOT nodes to acquire different parameters of food such as image, temperature, and weight along with the parameters of individual to whom that food is to be served such as facial recognition, weight, and height of the individual. The parameters captured by the IOT nodes are transmitted to the cloud application for remote tracking, monitoring and reporting at various levels. The system includes an Artificial Intelligence model for automated decision-making process to authenticate the quality and quantity of the food to be served. Hence, the present system is based on IOT (Internet of things), Artificial Intelligence technologies and cloud computing.

[0027] Referring to figure 1, the health and nutrition monitoring system comprises an enclosure with a front opening 101, a tray 102, a processing unit 107, a display unit 108, a fan opening 109, light source, a 1D/2D label code scanner 103 and plurality of sensors incorporated with IOT nodes. The different parameters of food is acquired by placing the food on the tray from the front opening of the enclosure of the health and nutrition monitoring system. The plurality of sensors captures the parameters of food like weight, temperature, images of the food etc. The plurality of sensors includes but not limited to a temperature sensor 105, a weight sensor 104, an image sensor 106, a gas sensor, IR sensor for size estimation and a 1D/2D label code scanner 103. Further, the health and nutrition monitoring system also acquires details of the individual to whom the food is being served. The individual’s details like weight, height and face are acquired by the system to calculate the body mass index (BMI). [0028] Referring to figure 2, the health and nutrition monitoring system comprises of a mini computer which acts as a processing unit and incorporated with a rechargeable battery and provided with internet connectivity. The parameters details acquired from the temperature sensor, weight sensor, image sensor, gas sensor, IR sensor for size, 1D/2D label code scanners is processed and gathered by the IOT nodes and communicated to the mini-computer for further processing. The mini-computer has a local cache memory, local Al model and python application to locally process the data acquired from the IOT nodes of the various sensors. The Al model detects the food items that is placed in the enclosure of the health and nutrition monitoring system. The Al model also detects if the right individual stands to receive the food placed on the tray. The decision-making process of Al to authenticate the quality and quantity of food is done in three steps i.e. Identification, Classification and Feature Extraction as shown in figure 3.

[0029] The identifications step is to check if a real food plate has been put on the platform. The classification step identifies the type of food like Rice, Roti, Vegetable, Daal, Curd, Salad etc. Further, the feature extraction step analyze the detail of the classified food item like colour of pulses, number of fruits, quality of a banana etc. By using the ML and trained Al model, the food/meals which is approved by Al is authorized to be shared with the individual. The decision-making process of Al and ML to authenticate the quality and quantity of food is done by comparing the acquired data from the sensors against the desired range of the corresponding parameters fetched form the cloud. Figure 2 depicts the communication of the mini-computer with the cloud infrastructure through an API gateway.

[0030] Figure 4 illustrates the GUI of the display unit of the enclosure of the health and nutrition monitoring system, where the details of the individual and the details of the food which is being served is depicted. A part of the display unit reflects the image, weight, height and BMI of the individual. Another part of the display unit reflects the details of the meal that is served to the individual which includes image of the food with the details of the dishes; weight of the food, calories, fibre, protein, fats, carbs, calcium and vitamins present in the meal. These details of nutrients in food is extracted by the three steps decision-making process of Al. Further, the ML and trained Al model provides approval/rej ection to the meal for an individual, based on the nutrients need of the individual on the basis of his/her BMI and the nutrients level extracted from the meal. For example, based on the BMI of an individual if particular set of nutrients is needed to be consumed and if the same is present in the meal, then the system reflects “ready to consume” message on display unit.

[0031] One of the aspect of the present invention is tracking, monitoring and reporting the nutrient level being given to each individual digitally. This is done by collecting the data over a period of time for an individual and processes the acquired data and compare it against the desired range of the corresponding parameters fetched form the cloud to analyze the details of the nutrient level being given to him/her. The health and nutrition details of any individual can be accessed through a display unit. Further, the said details can also be accessed by the Web or Mobile Application which can be accessed through a touch screen display.

[0032] Another aspect of the present invention is the method for monitoring the health and nutrition which consisting the steps of receiving a food or meal for authentication; capturing individual details to monitor health and analyzing the nutrition need; acquisition of image, temperature, and weight of food; acquisition of facial recognition, weight, and height of individual; calculating body index mass of the individual; extracting calories, fibre, protein, fats, carbs, calcium and vitamins present in the food; displaying individual’s details and nutrient level present in the food; and displaying the acceptability status based on nutrient need of the individual on the basis of BMI and nutrient present in the food.

[0033] In an exemplary embodiment of the present invention as shown in figure 5, a school, school meals, mid-day meal schemes or world food programme is tracked for the students by using loT and Al based real time health and nutrition monitoring system to identify the student and the food contents along with the quantity being served to the student in real time. The Al model ensures that the right nutrition is reaching to the intended recipient student at the last mile. Hence, the meal is served based on the BMI of the student to meet their nutrient need and therefore to improve their health.

[0034] In an exemplary embodiment of the present invention as shown in figure 6, the school meals is authenticated on the basis of quality, quantity and traceability. The raw materials used for meal production is authenticated from the supply level. The raw materials is authenticated by the loT and Al based real time health and nutrition monitoring system and provided with an authentication QR code by the label printing module of the system. At the kitchen unit and at different locations, the QR code is scanned for its authenticity. The meal prepared is then served after ensuring the nutrient level by the health and nutrition monitoring system as described in previous exemplary embodiment. Because of the availability of the cloud application in the loT and Al based real time health and nutrition monitoring system, all the captured data and information can be tracked, monitored and reported at various levels remotely by the school/state health authorities as well as the parents of the student. [0035] While the present invention has been described with reference to one or more preferred aspects, which aspects have been set forth in considerable detail for the purposes of making a complete disclosure of the invention, such aspects are merely exemplary and are not intended to be limiting or represent an exhaustive enumeration of all aspects of the invention. The scope of the invention, therefore, shall be defined solely by the following claims.

Claims

CLAIMS:

1) A health and nutrition monitoring system, comprising: an enclosure with plurality of sensors incorporated with IOT (Internet of things) nodes to capture various parameters related to food and an individual; a processing unit 107 incorporated with a rechargeable battery and internet connectivity to process the acquired parameters; an Al model; a label printing module for printing a tamper proof; a touch based display unit 108 to display the various parameters related to the food and the individual and to operate the machine; the Web or Mobile Application; wherein, the processing unit evaluates body mass index of the individual; the Al model extract the nutrient level in the food; and the ML and trained Al model provides real time approval/rej ection to the meal on the display unit based on the nutrients need of the individual on the basis of his/her body mass index.

2) The health and nutrition monitoring system as claimed in claim 1, wherein the processing unit 107 acquires various parameters from the plurality of sensors which are selected from but not limited to temperature sensor 105, weight sensor 104, image sensor 106, gas sensor and infrared sensor for size.

3) The health and nutrition monitoring system as claimed in claim 1, wherein the plurality of sensors captures parameters of food such that but not limited to image, temperature, and weight.

4) The health and nutrition monitoring system as claimed in claim 1, wherein the plurality of sensors captures parameters of individual such that but not limited to facial recognition, weight, and height.

9 5) The health and nutrition monitoring system as claimed in claim 1, wherein the Al model extracts calories, fibre, protein, fats, carbs, calcium and vitamins present in the food.

6) The health and nutrition monitoring system as claimed in claim 1, wherein the Web or Mobile Application allows remote tracking of the health and nutrition details of any individual.

7) A method for monitoring the health and nutrition, consisting the steps of

• receiving a food or meal for authentication;

• capturing individual details to monitor health and analyzing the nutrition need;

• acquisition of image, temperature, and weight of food;

• acquisition of facial recognition, weight, and height of individual;

• calculating body index mass of the individual;

• extracting calories, fibre, protein, fats, carbs, calcium and vitamins present in the food;

• displaying individual’s details and nutrient level present in the food; and

• displaying the acceptability status based on nutrient need of the individual on the basis of BMI and nutrient present in the food.