WO2018045711A1

WO2018045711A1 - Method and device for determining food item and mobile terminal

Info

Publication number: WO2018045711A1
Application number: PCT/CN2017/072058
Authority: WO
Inventors: 贾鑫
Original assignee: 中兴通讯股份有限公司
Priority date: 2016-09-07
Filing date: 2017-01-22
Publication date: 2018-03-15
Also published as: CN107807106A

Abstract

A method and device for determining a food item and a mobile terminal. The method comprises: transmitting an infrared light covering a preset frequency range to a target food item and receiving a corresponding reflected light (S11); determining, on the basis of the transmitted infrared light and of the received reflected light, absorption characteristic information of the target food item with respect to the infrared light covering the preset frequency range (S12); comparing the absorption characteristic information with a prestored absorption characteristic model, and determining the name of the target food item on the basis of the comparison result (S13). Solved is the problem in the prior art of a visually impaired person being prone to hazards of accidental ingestion due to inability to distinguish food items.

Description

Food determination method and device, mobile terminal

Technical field

This document relates to, but is not limited to, the field of communication technology, and relates to a method and device for determining food, and a mobile terminal.

Background technique

Blind people are a large group in society. How to provide more convenient life services for blind users is a widespread concern. Especially the problems that must be faced every day, such as eating and drinking for the blind, the lack of vision makes the blind people unable to distinguish the food, which is easy to cause dangers such as eating, which brings great inconvenience and trouble to the blind.

Summary of the invention

The following is an overview of the topics detailed in this document. This Summary is not intended to limit the scope of the claims.

The embodiment of the invention provides a method and a device for determining a food, and a mobile terminal, which solves the problem that the blind person cannot distinguish the food in the related art, thereby easily causing the danger of eating by mistake.

An embodiment of the present invention provides a food determining method, including: transmitting infrared light covering a preset frequency range to a target food and receiving corresponding reflected light; determining the target according to the emitted infrared light and the received reflected light. The absorption characteristic information of the food to the infrared light covering the preset frequency range; comparing the absorption characteristic information with the pre-stored absorption characteristic model, and determining the name of the target food according to the comparison result.

Optionally, the transmitting the infrared light covering the preset frequency range to the target food and receiving the corresponding reflected light comprises: transmitting the infrared light covering the preset frequency range to the target food by changing a frequency of the infrared light Receive corresponding reflected light.

Optionally, the preset frequency range includes at least one frequency interval.

Optionally, the determining, according to the emitted infrared light and the received reflected light, the absorption characteristic information of the target food to the infrared light covering the preset frequency range comprises: respectively determining the The target food absorbs the infrared light of each frequency in the preset frequency range and draws a corresponding absorption characteristic curve by using the absorption rate corresponding to all the frequencies in the preset frequency range.

Optionally, the comparing the absorption characteristic information with the pre-stored absorption characteristic model, and determining the name of the target food according to the comparison result comprises: determining a similarity between the absorption characteristic information and the absorption characteristic model, When the similarity between the absorption characteristic information and the absorption characteristic model is greater than a preset threshold, determining that the food name corresponding to the absorption characteristic model is the name of the target food.

Optionally, the determining the similarity between the absorption characteristic information and the absorption characteristic model comprises: using the absorption characteristic information as a pair of longitudinal coordinate values of two points corresponding to the same abscissa in the absorption characteristic model as a pair Calculating a difference, obtaining a difference data queue; determining a standard deviation for each data in the difference data queue; determining a similarity between the absorption characteristic information and the absorption characteristic model according to the determined standard deviation.

Optionally, the determining the similarity between the absorption characteristic information and the absorption characteristic model comprises: using the absorption characteristic information as a pair of longitudinal coordinate values of two points corresponding to the same abscissa in the absorption characteristic model as a pair Calculating a difference; determining a similarity between the absorption characteristic information and the absorption characteristic model according to a ratio of the number of points having a difference smaller than a preset range.

Optionally, before the determining the name of the target food according to the comparison result, the method further includes: separately acquiring, by the one or more foods, absorption characteristic information of the infrared light of the preset frequency range to establish The absorption characteristics model for each food.

Optionally, after the determining the name of the target food according to the comparison result, the method further comprises: receiving an infrared signal emitted by the target food itself to determine a temperature of the target food.

An embodiment of the present invention further provides a food determining apparatus, comprising: a transmitting and receiving unit, configured to emit infrared light covering a preset frequency range to a target food and receive corresponding reflected light; and determining a unit, configured to The infrared light emitted by the receiving unit and the received reflected light determine absorption characteristic information of the target food for infrared light covering the preset frequency range; and the comparing unit is configured to set the absorption characteristic information determined by the determining unit with the pre-stored The absorption characteristic model is compared, and the name of the target food is determined based on the comparison result.

Optionally, the transmitting and receiving unit is configured to: emit infrared light that covers a preset frequency range and receive corresponding reflected light to the target food by changing a frequency of the infrared light.

Optionally, the determining unit is configured to: respectively determine an absorption rate of the target food to infrared light of each frequency in the preset frequency range, and use an absorption rate corresponding to all frequencies in the preset frequency range Draw the corresponding absorption characteristic curve.

Optionally, the comparing unit is configured to: determine a similarity between the absorption characteristic information and the absorption characteristic model, where the similarity between the absorption characteristic information determined by the determining unit and the absorption characteristic model is greater than a preset threshold In the case, it is determined that the food name corresponding to the absorption characteristic model is the name of the target food.

Optionally, the comparison unit includes a first similarity determination module, and the first similarity determination module is configured to: compare the absorption characteristic information with two points of the same abscissa in the absorption characteristic model The axis coordinate value is used as a pair of difference values to obtain a difference data queue; a standard deviation is obtained for each data in the difference data queue; and the absorption characteristic information is determined according to the obtained standard deviation The similarity of the absorption characteristic model.

Optionally, the comparing unit includes a second similarity determining module, where the second similarity determining module is configured to: the longitudinal axis coordinate of the two points corresponding to the same abscissa in the absorption characteristic model The value is used as a pair of difference values; and the similarity between the absorption characteristic information and the absorption characteristic model is determined according to the ratio of the number of points whose difference is smaller than the preset range.

Optionally, the device further includes: an acquiring unit, configured to respectively acquire one or more infrared light of the food to the preset frequency range before determining the name of the target food according to the comparison result Absorbing characteristic information to establish a model of the absorption characteristics corresponding to each food.

Optionally, the device further includes: a temperature determining unit configured to receive an infrared signal emitted by the target food itself to determine a temperature of the target food after the determining the name of the target food according to the comparison result.

The embodiment of the invention further provides a mobile terminal, comprising: a processor, a memory, an infrared transceiver device, and an output device; the processor is configured to perform the following process: controlling the infrared transceiver device to transmit a preset frequency range to the target food Infrared light and receiving corresponding reflected light; determining, according to the emitted infrared light and the received reflected light, absorption characteristic information of the target food on infrared light covering the preset frequency range; The information is compared with the pre-stored absorption characteristic model, and the name of the target food is determined according to the comparison result; the memory is set to be stored a program executed by the device; the infrared transceiver device is configured to emit infrared light covering a preset frequency range to the target food under the control of the processor and receive corresponding reflected light; the output device is configured to be in the After the processor determines the name of the target food, the name is output.

Embodiments of the present invention also provide a computer readable storage medium having computer executable instructions stored therein, the food executable method being implemented when the computer executable instructions are executed.

The food determining method and device provided by the embodiment of the present invention can determine the absorption characteristics of the target food for the infrared light of the frequency by emitting infrared light covering the preset frequency range to the target food and receiving the corresponding reflected light. Then, by comparing the absorption characteristic information with the pre-existing absorption characteristic model, the name of the target food is determined, thereby helping the blind person to identify the specific food and providing great convenience for the blind person's life. Other aspects will be apparent upon reading and understanding the drawings and detailed description.

DRAWINGS

1 is a flow chart of a food determining method according to an embodiment of the present invention;

2 is a schematic view showing absorption of infrared light of different frequencies by different foods in an embodiment of the present invention;

3 is another flow chart of a food determining method according to an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of a food determining apparatus according to an embodiment of the present invention.

detailed description

The invention will be described in detail below with reference to the accompanying drawings. It is understood that the specific embodiments described herein are merely illustrative of the application and are not intended to be limiting.

As shown in FIG. 1 , an embodiment of the present invention provides a food determining method, including:

Step S11, emitting infrared light covering a preset frequency range to the target food and receiving corresponding reflected light;

Step S12: determining, according to the emitted infrared light and the received reflected light, absorption characteristic information of the target food on infrared light covering the preset frequency range;

In step S13, the absorption characteristic information is compared with a pre-stored absorption characteristic model, and the name of the target food is determined according to the comparison result.

The food determining method provided by the embodiment of the present invention can determine the absorption characteristics of the target food for the infrared light of the frequency by emitting infrared light covering the preset frequency range to the target food and receiving the corresponding reflected light, and then adopting the absorption characteristic. The information is compared with the pre-existing absorption characteristics model to determine the name of the target food, which can help the blind to identify the specific food and provide great convenience for the blind person's life.

In this embodiment, in step S11, by changing the frequency of the infrared light, infrared light covering a preset frequency range may be emitted to the target food and corresponding reflected light may be received, for example, may be sequentially performed for a period of time. Increasing or decreasing the frequency of the infrared light, wherein the infrared light of each frequency corresponds to a part of the absorbed light and a part of the reflected light on the target food. Of course, in other embodiments of the present application, infrared light of various frequencies can also be simultaneously emitted to the target food, and the absorption and reflection of the infrared light of the target food by the target food can be detected at one time.

Optionally, the preset frequency range may include a frequency interval or a plurality of frequency intervals, and the specific range of the frequency interval may be determined according to the sensitivity and discrimination of the food to the infrared light, and the absorption characteristic is selected to most clearly distinguish one of the corresponding foods. Or multiple frequency bands.

In this embodiment, in step S12, determining, according to the emitted infrared light and the received reflected light, the absorption characteristic information of the target food to the infrared light covering the preset frequency range may include: separately determining The target food has an absorption rate of infrared light of each frequency in the preset frequency range, and draws a corresponding absorption characteristic curve by using an absorption rate corresponding to all frequencies in the preset frequency range.

For example, as shown in Figure 2, the horizontal axis is the frequency of infrared light, and the vertical axis is the absorption rate of food for infrared light. Three different absorption characteristics are shown in the figure, corresponding to three kinds of foods. The food has different infrared absorption and feedback for different frequencies, as shown in Table 1.

Table 1

After obtaining the absorption characteristic curve of the target food, in step S13, the absorption characteristic information can be compared with the pre-stored absorption characteristic model, and the name of the target food can be determined based on the comparison result. Optionally, determining the similarity between the absorption characteristic information and the absorption characteristic model, if the similarity between the absorption characteristic information and the absorption characteristic model is greater than a preset threshold, determining that the food name corresponding to the absorption characteristic model is The name of the target food.

Alternatively, the absorption characteristic information and the absorption characteristic model can be expressed in various forms such as arrays, coordinates, curves, etc., but the essence reflects the absorption characteristics of food for different frequencies of infrared light. Taking the curve form as an example, how to compare the absorption characteristic information with the absorption characteristic model, and other forms of comparison methods are similar.

Optionally, the determining the similarity between the absorption characteristic information and the absorption characteristic model comprises: using the absorption characteristic information as a vertical coordinate value of two points corresponding to the same abscissa in the absorption characteristic model as a pair a difference value, a difference data queue is obtained; a standard deviation is obtained for each data in the difference data queue; and a similarity between the absorption characteristic information and the absorption characteristic model is determined according to the determined standard deviation.

Optionally, the determining the similarity between the absorption characteristic information and the absorption characteristic model comprises: using the absorption characteristic information as a vertical coordinate value of two points corresponding to the same abscissa in the absorption characteristic model as a pair a difference; determining a similarity between the absorption characteristic information and the absorption characteristic model according to a ratio of the number of points having a difference smaller than a preset range.

In this embodiment, there are many mature algorithms for how to compare the similarity of two curves. At present, the discrimination methods mainly include the similarity function definition method and the eigenvalue method. It is assumed that the two curves A and B are each composed of N points, and the horizontal axis (X-axis) coordinate value of each point is the same, where N is a positive integer greater than or equal to 1. Among them, the curve A is a curve drawn based on the absorption characteristic information, and the curve B is a curve corresponding to the pre-stored absorption characteristic model. Alternatively, the following two methods can be used to determine the degree of similarity between curve B and curve A.

Method 1: The data values of the difference axes are obtained by taking the coordinate values of the vertical axes of the two points corresponding to the two curves as a pair, such as X ₁ , X ₂ , X ₃ , ... Xn. Then, the standard deviation σ is obtained, and its average value (arithmetic mean value) is μ, as shown in the formula (1). The smaller the standard deviation obtained, the higher the similarity is, and the larger the standard deviation is, the lower the similarity is. If the standard deviation is less than the preset threshold, the two curves may be considered similar, and the food name corresponding to the absorption characteristic model is determined to be the name of the target food.

Method 2: Taking the vertical axis coordinate values of the two points corresponding to the two curves as a pair of difference values, assuming a data queue of the vertical axis (Y-axis) coordinate values of 50 key points, and then pressing the given curve The key point calculation error, the more points that fall within the error range, the higher the similarity. Therefore, an error range can be set in advance, and the maximum value and the minimum value of the Y-axis corresponding to each frequency point when the food is tested multiple times can be recorded as the error range. When the actual measurement is made, the two curves are considered similar if the number of points falling within the error range is higher than the preset cover threshold (eg, 80%).

For example, for a curve with 50 key points, the 50 key points of the two curves do not coincide, but if more than 80% of the points (for example, 42 points) fall within the error range, then the two curves can be considered similar. The name of the food corresponding to the pre-stored absorption characteristic model is determined as the name of the target food. The detected food name can be broadcasted by sound, so that the blind can pre-determine what food is eaten.

In the above embodiment, it is necessary to compare the determined absorption characteristic information with the pre-stored absorption characteristic model. It can be seen that the accuracy of the absorption characteristic model is directly related to whether or not the food can be accurately determined. In order to obtain an accurate absorption characteristic model, optionally, in the embodiment of the present invention, before the determining the name of the target food according to the comparison result, the method further comprises: separately acquiring one or more food pairs The absorption characteristic information of the infrared light of the preset frequency range is used to establish an absorption characteristic model corresponding to each food.

It should be noted that each food material in the food absorbs different degrees of infrared invisible light at different frequencies, so the variation curve of the infrared absorption function of different foods is different. The absorption The characteristic model may be a curve of the amount of infrared reflection, absorption, or reflectance, absorption rate, etc. recorded by the food as the frequency of the infrared light changes, and the curve is saved and corresponds to a food name to form an absorption characteristic model.

When the infrared light is emitted to the food next time, the infrared light frequency is sequentially increased in order, and the infrared function change curve value of the food return is obtained, and then compared with the pre-stored absorption characteristic model, the food name is obtained according to the correspondence relationship between the function change curve and the food name. . Thus, as the user's usage and recorded data continue to increase, the detection accuracy will increase as the library becomes more abundant.

Optionally, after the determining the name of the target food according to the comparison result, in order to avoid a situation such as burns caused by the user eating the food, the method may further include: receiving an infrared signal emitted by the target food itself to determine The temperature of the target food.

In this embodiment, after detecting the parameter of the infrared radiation of the target food, the temperature value of the target food can be determined by the corresponding relationship between the infrared parameter and the temperature built in the terminal, and after the voice value is broadcasted, the blind person can broadcast according to the broadcast. The temperature value determines whether or not to eat, thus avoiding burns. The correspondence between food and temperature can be as shown in Table 2.

食物材料ingredients	温度数值Temperature value	红外线参数Infrared parameter
食物1Food 1	温度1Temperature 1	参数1Parameter 1
	温度2Temperature 2	参数2Parameter 2
	温度3Temperature 3	参数3Parameter 3
	…...	…...
食物2Food 2	温度1Temperature 1	参数1Parameter 1
	温度2Temperature 2	参数2Parameter 2
	温度3Temperature 3	参数3Parameter 3
	…...	…...

Table 2

In the present embodiment, when the temperature of the object to be tested is higher than the absolute zero (i.e., -273.15 ° C), infrared rays are radiated to the outside. Because of the corresponding relationship between infrared parameters and temperature, the corresponding temperature measurement The measurement accuracy of the object is high, while the measurement accuracy for other types of temperature measurement objects is low. For example, the correspondence between the infrared parameter and the water temperature is higher for the water test accuracy, and for the pasta test. Therefore, the correspondence relationship with the object to be tested can be selected from the corresponding relationship according to the type information of the object to be tested. For example, when the object to be tested is a pasta, the user can select the corresponding relationship of the temperature of the pasta; when the object to be tested is water The user can choose to measure the correspondence of water temperature. The terminal may select an infrared parameter and a temperature correspondence relationship that match the food name from the corresponding relationship according to the obtained food name, and the terminal may specifically identify the infrared parameter and the temperature corresponding to the object to be tested by determining the object to be tested, and determine the location. The temperature value of the object to be tested is described. In this embodiment, the terminal can determine the infrared parameter and the temperature corresponding relationship of the object to be tested by identifying the object to be tested, and query the temperature value corresponding to the parameter of the infrared ray of the object to be tested, that is, obtain the object to be tested. Temperature value.

Optionally, the output of the temperature value is not necessarily intuitive, and the words such as: cold food, hot food, hot food, suitable temperature, high temperature, and high temperature may be used instead of specific temperature values.

Optionally, in order to be able to use the meal assisting function in a suitable occasion, the food determining method provided by the embodiment of the present invention may further include a food position before emitting the infrared light of the preset frequency range and receiving the corresponding reflected light to the target food. Detection steps.

In this embodiment, the smart terminal may determine whether an object exists in the preset range of the terminal; if there is an object, measure a distance between the terminal and the object; and determine whether the distance is less than a preset threshold; When the distance is less than the preset threshold, a voice prompt is issued to inform the user to start performing food name detection and temperature detection.

First, it is determined whether there is an object in the preset range of the terminal, wherein the preset range may be within a range in which the infrared temperature measuring device of the terminal emits infrared rays, and the determining manner may be that the infrared detecting device emits infrared rays into the preset range, if preset If there is an object in the range, the object will be reflected back after receiving the infrared light from the infrared temperature measuring device. The measuring method of measuring the distance between the terminal and the object may be that the terminal emits infrared rays, and the object will reflect after receiving the infrared ray, and the terminal calculates the distance between the terminal and the object according to the speed of the infrared ray, the time of transmitting the infrared ray, and the time of receiving the infrared ray. . Then, it can be determined whether the measured distance between the terminal and the food is less than a preset threshold, and the preset threshold can be set according to an actual scene. For example, the preset threshold may be 1 meter, 50 cm, 20 cm, 5 cm, or the like. If the distance is less than a preset threshold, a voice prompt is sent to inform the user to start execution Food name detection and temperature detection.

The food determination method provided by the present application will be described in detail below by way of specific examples. As shown in FIG. 3, in this embodiment, the food determining method may include the following steps:

Step S201, determining a location of the target food to be tested;

Determining whether there is an object in the preset range of the terminal; if there is an object in the preset range, measuring a distance between the terminal and the object; determining whether the distance is less than a preset threshold; if the distance is less than a preset When the threshold is set, a voice prompt is issued to inform the user to start performing food name detection and temperature detection.

In this embodiment, the infrared detecting device is used to emit infrared rays into a preset range. If an object exists in the preset range, the object will be reflected back after receiving the infrared rays of the infrared temperature measuring device. The measuring method of measuring the distance between the terminal and the object may be that the control terminal emits infrared rays, and the object will reflect after receiving the infrared light, and the terminal calculates the distance between the terminal and the object according to the speed of the infrared light, the time of transmitting the infrared light, and the time of receiving the infrared light. distance. It is further determined whether the measured distance between the terminal and the food is less than a preset threshold, and the preset threshold may be set according to an actual scenario.

Step S202, transmitting infrared rays of a specific wavelength band to the target food to be tested and receiving infrared rays values of the wavelength band returned by the food;

When scanning food, linearly increasing the infrared frequency in t time, the infrared frequency of the terminal emitting linearly to the food means sequentially emitting near-infrared invisible light of different wavelength bands, and the near-infrared invisible light of the different wavelength bands is different The food material has the best absorption effect of the matching band of invisible light.

Step S203, the food name and each band infrared feedback parameter are associated to form an absorption characteristic model and saved to the terminal;

Optionally, the feedback parameter may include infrared light reflection amount, reflectance, absorption amount, absorption rate, and the like. The terminal records the change curve of the infrared absorption amount value at time t, and forms a functional relationship of the change of the infrared absorption amount in the t time, and stores it in the terminal together with the food name to form a correspondence relationship as shown in Table 1.

Step S204, when the next time the terminal is used to emit infrared invisible light to the food, the hair is sequentially increased. Sending a frequency for transmission, and measuring a variation curve of the received infrared value of the band;

Step S205, determining the name of the target food to be tested according to the correspondence between the infrared absorption parameter and the food name in the pre-stored absorption characteristic model;

The value of the change curve of the infrared absorption amount in the t time during which the food received by the terminal is returned is compared with Table 1, and the food name can be known. The detected food name is sent to the controller, and the controller broadcasts the food name through the sound broadcast device, and the blind person can pre-determine what food is eaten according to the broadcasted food name.

Step S206, the infrared sensor detects a parameter of the target food radiating infrared rays;

Step S207: Query the temperature corresponding to the parameter of the infrared radiation of the object to be tested according to the corresponding relationship between the infrared parameter and the temperature of each food name stored in advance, thereby obtaining the temperature value of the object to be tested.

As shown in FIG. 4, an embodiment of the present invention further provides a food determining apparatus, including:

The transmitting and receiving unit 31 is configured to emit infrared light covering the preset frequency range to the target food and receive the corresponding reflected light;

The determining unit 32 is configured to determine, according to the infrared light emitted by the transmitting and receiving unit and the received reflected light, absorption characteristic information of the target food on infrared light covering the preset frequency range;

The comparing unit 33 is configured to compare the absorption characteristic information determined by the determining unit with the pre-stored absorption characteristic model, and determine the name of the target food according to the comparison result.

The food determining apparatus provided by the embodiment of the invention can determine the absorption characteristic of the target food for the infrared light of the frequency by emitting infrared light covering the preset frequency range to the target food and receiving the corresponding reflected light, and then adopting the absorption characteristic The information is compared with the pre-existing absorption characteristics model to determine the name of the target food, which can help the blind to identify the specific food and provide great convenience for the blind person's life.

Optionally, the transmitting and receiving unit 31 is configured to: emit infrared light that covers a preset frequency range and receive corresponding reflected light to the target food by changing a frequency of the infrared light.

Optionally, the determining unit 32 is configured to: respectively determine the target food to the preset frequency The absorption rate of infrared light at each frequency in the range, and the corresponding absorption characteristic curve is drawn by the absorption rate corresponding to all frequencies in the preset frequency range.

Optionally, the comparing unit 33 is configured to: determine the similarity between the absorption characteristic information and the absorption characteristic model, where the similarity between the absorption characteristic information determined by the determining unit 32 and the absorption characteristic model is greater than a preset threshold And determining that the food name corresponding to the absorption characteristic model is the name of the target food.

Optionally, the comparison unit includes a first similarity determination module, and the first similarity determination module is configured to: vertically axis the two points corresponding to the same abscissa in the absorption characteristic model The coordinate value is used as a pair of difference values to obtain a difference data queue X ₁ , X ₂ , X ₃ , ... Xn; a standard deviation is obtained for each data in the difference data queue; The standard deviation determines the similarity of the absorption characteristic information to the absorption characteristic model.

Optionally, the comparison unit includes a second similarity determination module, and the second similarity determination module is configured to: the longitudinal axis of the two points corresponding to the same abscissa in the absorption characteristic model The coordinate value is used as a pair of difference values; and the similarity between the absorption characteristic information and the absorption characteristic model is determined according to the ratio of the number of points whose difference is smaller than the preset range.

Optionally, the food determining apparatus provided by the embodiment of the present invention may further include: an acquiring unit, configured to respectively acquire one or more foods to the preset before determining the name of the target food according to the comparison result The absorption characteristic information of the infrared light in the frequency range is used to establish a corresponding absorption characteristic model for each food.

Optionally, the food determining apparatus provided by the embodiment of the present invention may further include a temperature determining unit configured to receive an infrared signal emitted by the target food itself to determine the target after determining the name of the target food according to the comparison result. The temperature of the food.

The embodiment of the invention further provides a mobile terminal, comprising: a processor, a memory, an infrared transceiver device, and an output device;

The processor is configured to perform a process of: controlling the infrared transceiver device to emit infrared light covering a preset frequency range to a target food and receiving corresponding reflected light; determining, according to the emitted infrared light and the received reflected light Absorbing characteristic information of the target food to infrared light covering the preset frequency range; comparing the absorption characteristic information with a pre-stored absorption characteristic model, and determining a name of the target food according to the comparison result;

The memory is configured to store a program executed by the processor;

The infrared transceiver device is configured to emit infrared light covering a preset frequency range to the target food under the control of the processor and receive corresponding reflected light;

The output device is configured to output the name after the processor determines the name of the target food.

The embodiment of the invention further provides a computer readable storage medium, wherein the computer readable storage medium stores computer executable instructions, and the computer executable instructions are implemented to implement a food confirmation method.

The mobile terminal provided by the embodiment of the present invention can determine the absorption characteristic of the target food for the infrared light of the frequency by emitting infrared light covering the preset frequency range to the target food and receiving the corresponding reflected light, and then adopting the absorption characteristic information. In contrast to the pre-existing absorption characteristics model, the name of the target food is determined, which can help the blind person to identify the specific food and provide great convenience for the blind person's life.

It is to be understood that the term "comprises", "comprising", or any other variants thereof, is intended to encompass a non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes those elements. It also includes other elements that are not explicitly listed, or elements that are inherent to such a process, method, article, or device. An element that is defined by the phrase "comprising a ..." does not exclude the presence of additional equivalent elements in the process, method, item, or device that comprises the element.

Through the description of the above embodiments, those skilled in the art can clearly understand that the foregoing embodiment method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be through hardware, but in many cases, the former is better. Implementation. Based on such understanding, the technical solution of the present application, which is essential or contributes to the related art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk, CD-ROM). The instructions include a number of instructions for causing a terminal device (which may be a cell phone, computer, server, air conditioner, or network device, etc.) to perform the methods described in various embodiments of the present application.

The above is only an alternative embodiment of the present application, and thus does not limit the scope of the patent application, and the equivalent structure or equivalent process transformation of the specification and the drawings of the present application, or directly or indirectly applied to other related technologies. The fields are all included in the scope of patent protection of this application.

One of ordinary skill in the art will appreciate that all or a portion of the above steps may be performed by a program to instruct related hardware, such as a processor, which may be stored in a computer readable storage medium, such as a read only memory, disk or optical disk. Wait. Alternatively, all or part of the steps of the above embodiments may also be implemented using one or more integrated circuits. Correspondingly, each module/unit in the above embodiment may be implemented in the form of hardware, for example, by implementing an integrated circuit to implement its corresponding function, or may be implemented in the form of a software function module, for example, executing a program stored in the memory by a processor. / instruction to achieve its corresponding function. This application is not limited to any specific combination of hardware and software. A person skilled in the art should understand that the technical solutions of the present application can be modified or equivalent, without departing from the spirit and scope of the technical solutions of the present application, and should be included in the scope of the claims of the present application.

Industrial applicability

The above technical solutions can help blind people to identify specific foods and provide great convenience for the lives of the blind.

Claims

A food determination method comprising:

Infrared light covering a preset frequency range is emitted to the target food and receives corresponding reflected light;

Determining absorption characteristic information of the target food against infrared light covering the preset frequency range according to the emitted infrared light and the received reflected light;

The absorption characteristic information is compared with a pre-stored absorption characteristic model, and the name of the target food is determined based on the comparison result.
The method according to claim 1, wherein the transmitting the infrared light covering the preset frequency range to the target food and receiving the corresponding reflected light comprises:

By changing the frequency of the infrared light, infrared light covering a predetermined frequency range is emitted to the target food and corresponding reflected light is received.
The method of claim 1 wherein: said predetermined frequency range comprises at least one frequency interval.
The method according to claim 1, wherein the determining, according to the emitted infrared light and the received reflected light, the absorption characteristic information of the target food to infrared light covering the preset frequency range comprises:

The absorption rate of the infrared light of the target food to each frequency in the preset frequency range is respectively determined, and the corresponding absorption characteristic curve is drawn by using the absorption rate corresponding to all the frequencies in the preset frequency range.
The method according to claim 1, wherein said comparing said absorption characteristic information with a pre-stored absorption characteristic model, and determining the name of said target food based on the comparison result comprises:

Determining the similarity between the absorption characteristic information and the absorption characteristic model, and determining that the food name corresponding to the absorption characteristic model is the target food when the similarity between the absorption characteristic information and the absorption characteristic model is greater than a preset threshold The name.
The method of claim 5 wherein: the determining the similarity between the absorption characteristic information and the absorption characteristic model comprises:

The absorption characteristic information and the absorption characteristic model have two points corresponding to the same abscissa The vertical axis coordinate value is used as a pair of difference values to obtain a difference data queue;

Finding a standard deviation for each of the data in the difference data queue;

A similarity between the absorption characteristic information and the absorption characteristic model is determined based on the determined standard deviation.
The method of claim 5 wherein: the determining the similarity between the absorption characteristic information and the absorption characteristic model comprises:

The absorption characteristic information and the longitudinal axis coordinate values of the two points corresponding to the same abscissa in the absorption characteristic model are used as a pair of difference values;

The similarity between the absorption characteristic information and the absorption characteristic model is determined according to the ratio of the number of points whose difference is smaller than the preset range.
The method according to any one of claims 1 to 7, before the determining the name of the target food based on the comparison result, the method further comprising:

The absorption characteristic information of the infrared light of the predetermined frequency range of the one or more foods is separately obtained to establish an absorption characteristic model corresponding to each food.
The method according to any one of claims 1 to 7, after the determining the name of the target food based on the comparison result, the method further comprises:

Receiving an infrared signal emitted by the target food itself to determine a temperature of the target food.
A food determining device comprising:

a transmitting and receiving unit configured to emit infrared light covering a preset frequency range to the target food and receive corresponding reflected light;

a determining unit configured to determine, according to the infrared light emitted by the transmitting and receiving unit and the received reflected light, absorption characteristic information of the target food to infrared light covering the preset frequency range;

The comparing unit is configured to compare the absorption characteristic information determined by the determining unit with the pre-stored absorption characteristic model, and determine the name of the target food according to the comparison result.
The apparatus according to claim 10, wherein said transmitting and receiving unit is configured to: emit infrared light that covers a predetermined frequency range and receive corresponding reflected light to said target food by changing a frequency of said infrared light .
The apparatus of claim 10 wherein: said predetermined frequency range comprises at least one frequency interval.
The apparatus according to claim 10, wherein the determining unit is configured to: respectively determine an absorption rate of the target food to infrared light of each frequency within the preset frequency range, and utilize a preset frequency range The corresponding absorption curve is plotted for the absorbance corresponding to all frequencies.
The apparatus according to claim 10, wherein: said comparing unit is configured to: determine a similarity between said absorption characteristic information and said absorption characteristic model, wherein said absorption characteristic information is more similar to said absorption characteristic model than said In the case where the threshold is set, it is determined that the food name corresponding to the absorption characteristic model is the name of the target food.
The apparatus of claim 14, wherein: said comparing unit comprises a first similarity determining module, said first similarity determining module being configured to:

And calculating, by using the absorption characteristic information and the vertical axis coordinate values of two points corresponding to the same abscissa in the absorption characteristic model as a pair of difference values, to obtain a difference data queue;

Finding a standard deviation for each of the data in the difference data queue;

A similarity between the absorption characteristic information and the absorption characteristic model is determined based on the determined standard deviation.
The apparatus according to claim 14, wherein: said comparing unit comprises a second similarity determining module, and said second similarity determining module is configured to:

The absorption characteristic information and the longitudinal axis coordinate values of the two points corresponding to the same abscissa in the absorption characteristic model are used as a pair of difference values;

The similarity between the absorption characteristic information and the absorption characteristic model is determined according to the ratio of the number of points whose difference is smaller than the preset range.
The apparatus according to any one of claims 10 to 16, the apparatus further comprising:

Obtaining a unit, configured to respectively acquire absorption characteristic information of one or more foods for infrared light of the preset frequency range before determining the name of the target food according to the comparison result, to establish corresponding to each food Absorption characteristics model.
The apparatus according to any one of claims 10 to 16, further comprising: a temperature determining unit configured to, after determining the name of the target food based on the comparison result, An infrared signal emitted by the target food itself is received to determine the temperature of the target food.
A mobile terminal includes: a processor, a memory, an infrared transceiver device, and an output device;

The processor is configured to perform the following process:

Controlling, the infrared transceiver device emits infrared light covering a preset frequency range to the target food and receives corresponding reflected light; determining, according to the emitted infrared light and the received reflected light, the target food pair covering the preset Absorption characteristic information of infrared light in a frequency range; comparing the absorption characteristic information with a pre-stored absorption characteristic model, and determining a name of the target food according to the comparison result;

The memory is configured to store a program executed by the processor;

The infrared transceiver device is configured to emit infrared light covering a preset frequency range to the target food under the control of the processor and receive corresponding reflected light;

The output device is configured to output the name after the processor determines the name of the target food.