KR102104982B1 - Slicing ability evaluation support apparatus for food and operating method thereof - Google Patents

Abstract

Disclosed are an apparatus for supporting evaluation of slicing ability for food ingredients and an operating method thereof. The present invention relate to an automated evaluation technique capable of objectively evaluating how well food ingredients are sliced by measuring the dimensions of pieces of the ingredients and the time taken to cut the food ingredients with a knife when a chef cuts the ingredients with the knife.

Description

Slicing ABILITY EVALUATION SUPPORT APPARATUS FOR FOOD AND OPERATING METHOD THEREOF

The present invention relates to an apparatus capable of evaluating the slicing ability of food ingredients and a method of operating the same.

Many cooking contests have adopted "harmony between ingredients" as the criteria for judging. At this time, the harmony between the materials is an item for evaluating whether the size and shape of the material are constant and sliced into suitable sizes.

In addition, the regulations for judging the famous Korean cooking competitions stipulate that "the amount and size of meat and vegetables must be constant."

However, in the cooking competition so far, the evaluation items have not been evaluated through objective figures. When evaluating the harmony between ingredients, the judges often look at the finished dish with their eyes, sometimes carrying a ruler and measuring the size of a few of the cooked ingredients.

However, it has a problem of being greatly biased at the discretion of the judges depending on the measurement method. Also, it is very difficult for the judges to determine the size of all cooked ingredients. In particular, individual measurements of ingredients become more difficult after food has been cooked.

Therefore, the need for automation and digitization emerges in evaluating how well the food ingredients are sliced. Thus, in the present invention, when a chef cuts a food material with a knife, an automated evaluation capable of objectively evaluating how well the food material is sliced by measuring the dimensions of the material pieces and the time taken to use the food material with a knife. I would like to present a technique.

The present invention provides an automated evaluation technology capable of objectively evaluating how well the food ingredients are sliced by measuring the dimensions of the ingredients and the time taken to use the food ingredients when the chef cuts the food ingredients with a knife. I would like to present.

The device for evaluating cutting ability for food materials according to an embodiment of the present invention includes a pressure value receiving unit configured to receive a pressure value sensed whenever a food material is cut with a knife through a pressure sensor provided on the cutting board, in a horizontal direction of the cutting board. The front image acquisition unit acquires a cross-sectional image of each of the plurality of pieces of material generated by cutting the food material with a knife through the first camera located, and the plurality through the second camera located on the top of the cutting board Upper image acquisition unit for obtaining a cross-sectional image of the top surface of each of the pieces of material, virtual surrounding the outer region for each of the plurality of pieces of material from the cross-sectional image of the front of each of the plurality of material pieces Create a first rectangle of, and from the cross-sectional image for the top surface of each of the plurality of pieces of material A generating unit for generating a virtual second rectangle surrounding the outer region of the upper surface of each piece of material, and for each of the plurality of pieces of material, eight pieces constituting the first rectangle and the second rectangle After measuring the length of the edge, and calculating the accuracy value indicating the accuracy of the knife based on the error between the eight reference lengths and the length of the eight corners predetermined to correspond to the eight edges, and then the plurality of pieces of material An accuracy score calculating unit that calculates an average of the accuracy values calculated for each of the fields as an accuracy score for the food material, and the plurality of pieces of the material of each of the eight corners constituting the first rectangle and the second rectangle. Calculate the average and standard deviation for the measured length in the field, and calculate the average for each of the eight edges. After calculating the consistency value indicating the consistency between the pieces of the material for each length of the eight corners based on the quasi-deviation, the average of the consistency values calculated at each of the eight corners is added to the food material. Consistency score calculation unit for calculating the consistency score for the unit, checks the reception interval time of the pressure value received through the pressure sensor, sums the reception interval time of the pressure value, and calculates the total time required for the food material to be sliced. After calculation, a quick score calculation unit for calculating a quick score for the food material so as to have a negative correlation with the calculated total time, a first indicating the thickness of the material piece among the four corners constituting the second rectangle The average of the measured lengths of the plurality of pieces of material of the edge is calculated and then averaged to the first edge. Thickness score calculation unit for calculating the thickness score for the food ingredients to be proportional, evaluation score calculation unit for calculating the slicing evaluation score for the food ingredients based on the accuracy score, the consistency score, the quickness score and the thickness score And a score output unit that outputs the slicing evaluation score for the food ingredient on a screen.

In addition, according to an embodiment of the present invention, a method of operating a device for evaluating slicing ability for a food material includes receiving a pressure value sensed whenever the food material is cut with a knife through a pressure sensor provided on the cutting board, Acquiring a cross-sectional image of the front of each of the plurality of pieces of material generated by cutting the food material with a knife through a first camera located in a horizontal direction, the plurality through a second camera located on the top of the cutting board Obtaining a cross-sectional image of the top surface of each of the pieces of material, a virtual first surrounding an outer region of the front of each of the plurality of material pieces from a cross-sectional image of the front of each of the plurality of material pieces Create a rectangle, each of the plurality of material pieces from a cross-sectional image of the top surface of each of the plurality of material pieces Creating a virtual second rectangle surrounding the outer area for each top surface, measuring the length of the eight corners constituting the first rectangle and the second rectangle for each of the plurality of pieces of material, , Calculates an accuracy value indicating the accuracy of cutting based on an error between the eight reference lengths predetermined to correspond to the eight edges and the length of the eight edges, and then calculated for each of the plurality of material pieces Calculating an average of the accuracy values as an accuracy score for the food ingredients, an average of the measured lengths of the plurality of material pieces of each of the eight corners constituting the first rectangle and the second rectangle, and Calculate the standard deviation, and the eight corners based on the average and standard deviation calculated for each of the eight corners. Calculating a consistency value indicating consistency between the plurality of material pieces for each length, and calculating an average of the consistency values calculated at each of the eight corners as a consistency score for the food material, the Check the reception interval time of the pressure value received through the pressure sensor, sum the reception interval time of the pressure value, calculate the total time taken for the food material to be sliced, and then negatively correlate with the calculated total time Calculating a quickness score for the food ingredients to have a relationship, an average over a measurement length in the plurality of material pieces of the first edge indicating the thickness of the material piece among the four corners constituting the second rectangle Calculating a thickness score for the food material so as to be inversely proportional to the average of the first corners after calculating, And calculating a slice evaluation score for the food ingredient based on an accuracy score, the consistency score, the quickness score, and the thickness score, and outputting the slice evaluation score for the food ingredient on a screen.

The present invention provides an automated evaluation technology capable of objectively evaluating how well the food ingredients are sliced by measuring the dimensions of the ingredients and the time taken to use the food ingredients when the chef cuts the food ingredients with a knife. Can be presented.

1 is a view showing the structure of a device for evaluating slicing ability for food ingredients according to an embodiment of the present invention.
2 and 3 are diagrams for explaining the operation of the device for evaluating the slicing ability for food ingredients according to an embodiment of the present invention.
4 is a flowchart illustrating an operation method of a device for evaluating slicing ability for food ingredients according to an embodiment of the present invention.

Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings. It should be understood that these descriptions are not intended to limit the invention to specific embodiments, and include all modifications, equivalents, or substitutes included in the spirit and scope of the invention. In describing each drawing, similar reference numerals have been used for similar components, and unless otherwise defined, all terms used in this specification, including technical or scientific terms, have common knowledge in the technical field to which the present invention pertains. It has the same meaning as commonly understood by people who have it.

In this document, when it is said that a part "includes" a certain component, this means that other components may be further included rather than excluding other components unless specifically stated to the contrary. In addition, in various embodiments of the present invention, each component, functional blocks, or means may be composed of one or more sub-components, and the electrical, electronic, and mechanical functions performed by each component are electronic Circuits, integrated circuits, ASIC (Application Specific Integrated Circuit) can be implemented by a variety of known elements or mechanical elements, each of which may be implemented separately or may be implemented by integrating two or more into one.

On the other hand, the steps of the blocks or flowcharts of the accompanying block diagrams are computer program instructions that are mounted in a processor or memory of data processing equipment such as a general purpose computer, a special purpose computer, a portable notebook computer, and a network computer to perform designated functions. It can be interpreted as meaning. Since these computer program instructions can be stored in a memory provided in a computer device or in a computer readable memory, the functions described in the blocks of the block diagrams or steps of the flowchart are produced as an article containing instruction means for performing this. It may be. In addition, each block or step may represent a module, segment, or portion of code that includes one or more executable instructions for executing the specified logical function (s). It should also be noted that in some alternative embodiments, the functions mentioned in blocks or steps may be executed out of order. For example, two blocks or steps shown in succession may be performed substantially simultaneously, or may be performed in reverse order, and in some cases, some blocks or steps may be omitted.

1 is a view showing the structure of a device for evaluating slicing ability for food ingredients according to an embodiment of the present invention.

Referring to FIG. 1, the apparatus 110 for supporting the slicing ability evaluation for food ingredients according to the present invention includes a pressure value receiving unit 111, a front image acquisition unit 112, a top image acquisition unit 113, and a generation unit 114 ), Accuracy score calculator 115, consistency score calculator 116, quickness score calculator 117, thickness score calculator 118, evaluation score calculator 119, and score output 120 do.

First, in the present invention, the front of each of the plurality of pieces of material 240 generated by cutting the food material with a knife in the horizontal direction of the cutting board 230 on which the food material is placed, as shown in reference numeral 210 of FIG. 2. A first camera 211 for photographing a camera may be located, and photographing the top surface of each of the plurality of material pieces 240 at the top of the cutting board 230 as illustrated in reference numeral 220 of FIG. 2 For the second camera 221 may be located.

In addition, a pressure sensor for recognizing a pressure applied to the surface of the cutting board 230 by the knife may be mounted inside the cutting board 230 whenever the food material is cut with a knife.

At this time, the pressure value receiving unit 111 receives the pressure value sensed whenever the food material is cut with a knife through the pressure sensor provided on the cutting board 230.

The front image acquisition unit 112 is a cross-sectional image of the front surface of each of the plurality of material pieces 240 generated by cutting the food material with a knife through the first camera 211 located in the horizontal direction of the cutting board 230. To acquire.

The top image acquisition unit 113 acquires a cross-sectional image of the top surface of each of the plurality of pieces of material 240 through the second camera 221 located on the top of the cutting board 230.

The generator 114 generates a virtual first rectangle surrounding the outer region of each of the plurality of material pieces 240 from the cross-sectional image of the front of each of the plurality of material pieces 240, and An imaginary second rectangle surrounding the outer region of each of the plurality of material pieces 240 is generated from the cross-sectional image of the upper surface of each of the material pieces 240.

In relation to this, the generating unit 114, as shown by reference numeral 250, from the cross-sectional image of the front of each of the plurality of pieces of material 240, the outer region of the front of each of the plurality of pieces of material 240 A virtual first rectangle 250 surrounding the can be generated. At this time, the generating unit 114 is located at the leftmost point 251, the rightmost point 252 located at the leftmost, and the uppermost point in the cross-sectional image of each of the plurality of pieces of material 240. After selecting the upper end point 253 and the lower end point 254 located at the bottom, spaced apart by a predetermined reference distance from the left point 251, the right point 252, the upper point 253, and the lower point 254 By selecting the four points (255, 256, 257, 258) located at a given point and drawing a line segment connecting each of the four points (255, 256, 257, 258), a first rectangle 250 is created. You can.

In the same way, the generating unit 114, as shown by the reference numeral 260, from the cross-sectional image of the top surface of each of the plurality of material pieces 240, the top surface of each of the plurality of material pieces 240 A virtual second rectangle 260 surrounding the outer region for may be generated. At this time, the generation unit 114 in the cross-sectional image of the top surface of each of the plurality of pieces of material 240, the leftmost point on the left, the rightmost point on the right, the uppermost point on the top, the most After selecting the bottom point located at the bottom, select the four points located at a point separated by a predetermined reference distance from the left, right, top, and bottom points, and draw a line segment connecting each of the four points. , The second rectangle 260 may be generated.

In this way, when the first rectangle 250 and the second rectangle 260 for each of the plurality of material pieces 240 are generated, the accuracy score calculating unit 115 for each of the plurality of material pieces 240, The lengths of the eight corners constituting the first rectangle 250 and the second rectangle 260 are measured, and based on the error between the eight reference lengths predetermined to correspond to the eight corners and the lengths of the eight corners. Then, after calculating an accuracy value indicating the accuracy of the knife, an average of the accuracy values calculated for each of the plurality of material pieces 240 is calculated as an accuracy score for the food material.

At this time, according to an embodiment of the present invention, the accuracy score calculation unit 115 for each of the plurality of pieces of material 240, the first rectangle 250 and the second rectangle 260 constituting the eight Measure the length of the edge, calculate the average for the error rate between the eight reference lengths and the length of the eight corners, which are predetermined to correspond to the eight edges, and have a negative correlation with the average for the error rate After calculating the accuracy value, an average of the accuracy values calculated for each of the plurality of material pieces 240 may be calculated as an accuracy score for the food material.

In relation to this, the first rectangle 250 and the second rectangle 260 generated for each of the plurality of pieces of material 240 may be represented in the form of a figure shown at 310 and 320 of FIG. 3, At this time, the first rectangle 250 and the second rectangle 260 may have a total of eight corners called X1, X2, X3, X4, X5, X6, X7, X8, as illustrated in reference numeral 320. have.

At this time, the accuracy score calculating unit 115, for each of the plurality of pieces of material 240, the eight corners constituting the first rectangle 250 and the second rectangle 260 (X1, X2, X3, X4) , X5, X6, X7, X8) are measured, and corresponding to the eight corners (X1, X2, X3, X4, X5, X6, X7, X8), the predetermined eight reference lengths and the eight The error rate between the lengths of the edges X1, X2, X3, X4, X5, X6, X7, X8 can be calculated.

Here, the eight reference lengths mean the optimal lengths of each of the eight corners (X1, X2, X3, X4, X5, X6, X7, X8), assuming that the food material is most optimally sliced. As an example, the eight reference lengths are values that can be set in advance by the user, and can be variously set and set according to the type of food material.

For example, when it is said that there are five pieces of material 240, the accuracy score calculator 115 configures the first rectangle 250 and the second rectangle 260 for each of the five pieces of material. Measure the length of the eight corners (X1, X2, X3, X4, X5, X6, X7, X8), and to the eight corners (X1, X2, X3, X4, X5, X6, X7, X8) It is possible to calculate an error rate between eight reference lengths predetermined as corresponding and the lengths of the eight corners X1, X2, X3, X4, X5, X6, X7, and X8.

를 연산할 수 있다. 이러한 방식으로, 정확성 점수 산출부(115)는 5개의 재료 조각들 각각에 대해서 8개의 모서리(X1, X2, X3, X4, X5, X6, X7, X8)에 대응되는 것으로 미리 정해진 8개의 기준 길이와 8개의 모서리(X1, X2, X3, X4, X5, X6, X7, X8)의 길이 간의 오차율을 연산할 수 있다.In relation to this, when the length of the edge of X2 for the material piece 1 is measured as '3.6cm', and the reference length corresponding to X2 is '3cm', the accuracy score calculating unit 115 determines the X2 value of the material piece 1 to X2. With error rate for the corner

Can be calculated. In this way, the accuracy score calculator 115 has eight reference lengths that are predetermined to correspond to eight edges (X1, X2, X3, X4, X5, X6, X7, X8) for each of the five material pieces. And the error rates between the lengths of the eight corners (X1, X2, X3, X4, X5, X6, X7, X8).

At this time, the eight reference lengths predetermined to correspond to the eight corners (X1, X2, X3, X4, X5, X6, X7, X8) and the eight corners (X1, measured for each of the five material pieces) Assuming that the lengths of X2, X3, X4, X5, X6, X7, and X8 are the same as in Table 1 below (unit of each length is cm), the calculated error rate for each of the five pieces of material is as follows. It can be represented as shown in Table 2.

Corner type Reference length Piece 1 Piece 2 Piece 3 Piece 4 Piece 5 X1 3 3 3.5 3.1 2.8 2.5 X2 3 3.6 3.5 3.1 2.8 2.9 X3 4 5 5.1 5.5 5.7 4.8 X4 4 5.2 5.1 4.8 4.9 5.3 X5 3 2.5 3.2 2.7 2.9 3.1 X6 3 3 3.5 3.1 2.8 2.5 X7 8 6.2 6.1 5.75 5.2 6.71 X8 8 6 6.16 5.11 4.85 5.64

Corner type Piece 1 Piece 2 Piece 3 Piece 4 Piece 5 X1 0 0.17 0.03 0.07 0.17 X2 0.2 0.17 0.03 0.07 0.03 X3 0.25 0.28 0.38 0.43 0.2 X4 0.3 0.28 0.2 0.23 0.33 X5 0.17 0.07 0.1 0.03 0.03 X6 0 0.17 0.03 0.07 0.17 X7 0.23 0.24 0.28 0.35 0.16 X8 0.25 0.23 0.36 0.39 0.3

As shown in Table 2, when the error rate with the reference length for the length of the eight edges (X1, X2, X3, X4, X5, X6, X7, X8) for each of the five pieces of material is calculated, the accuracy score The calculator 115 may calculate an average of eight error rates calculated from each of the five pieces of material.

In relation to this, the average error rate for each of the five pieces of material may be represented as Table 3 below.

Piece 1 Piece 2 Piece 3 Piece 4 Piece 5 0.18 0.20 0.18 0.21 0.17

Thus, when the average of the error rates for each of the five material pieces is calculated, the accuracy score calculating unit 115 calculates an accuracy value for each of the five material pieces so as to have a negative correlation with the average for the error rate. You can.

At this time, according to an embodiment of the present invention, the accuracy score calculator 115 may calculate the accuracy value according to the operation of Equation 1 below.

Here, AC is the accuracy value e means the average error rate.

When the accuracy values for each of the five material pieces are calculated according to Equation 1, it can be represented as in Table 4 below.

Piece 1 Piece 2 Piece 3 Piece 4 Piece 5 82 80 82 79 83

Thus, when the calculation of the accuracy values for the five material pieces is completed, the accuracy score calculation unit 115 averages the average of the accuracy values calculated for each of the five material pieces, the accuracy score for the food ingredients It can be calculated, and in this way, in the embodiment shown in Table 4, the accuracy score can be calculated as 81.2 points.

The consistency score calculating unit 116 includes a plurality of materials of each of the eight corners (X1, X2, X3, X4, X5, X6, X7, X8) constituting the first rectangle 250 and the second rectangle 260 Calculate the average and standard deviation for the measured length in the pieces 240, and calculate the average and standard deviation calculated for each of the eight corners (X1, X2, X3, X4, X5, X6, X7, X8). After calculating the consistency value indicating the consistency between the plurality of pieces of material 240 for the length of each of the eight corners (X1, X2, X3, X4, X5, X6, X7, X8) based on the 8 The average of the consistency values calculated at each of the four corners (X1, X2, X3, X4, X5, X6, X7, X8) is calculated as the consistency score for the food ingredients.

At this time, according to an embodiment of the present invention, the consistency score calculating unit 116 comprises the eight corners (X1, X2, X3, X4, X5) constituting the first rectangle 250 and the second rectangle 260, X6, X7, X8) Calculate the mean and standard deviation for the measured length of each of the plurality of material pieces 240, and the eight edges X1, X2, X3, X4, X5, X6, X7, X8 ) A plurality of pieces of material for each length of the eight corners (X1, X2, X3, X4, X5, X6, X7, X8) to have a negative correlation with the ratio of the standard deviation to the calculated mean for each After calculating the consistency values indicating the consistency between the fields 240, the average of the consistency values calculated at each of the eight corners (X1, X2, X3, X4, X5, X6, X7, X8) is the food It can be calculated from the consistency score for the material.

In relation to this, there are 5 pieces of material as in the example described above, and the lengths of the 8 edges (X1, X2, X3, X4, X5, X6, X7, X8) measured for each of the 5 pieces of material are Suppose that it is as shown in Table 1.

At this time, the consistency score calculating unit 116 calculates the average and standard deviation of the measurement lengths from five pieces of material for each of the eight corners (X1, X2, X3, X4, X5, X6, X7, X8). It can be, and the results can be shown in Table 5 below.

Corner type Piece 1 Piece 2 Piece 3 Piece 4 Piece 5 Average Standard Deviation X1 3 3.5 3.1 2.8 2.5 2.98 0.37 X2 3.6 3.5 3.1 2.8 2.9 3.18 0.36 X3 5 5.1 5.5 5.7 4.8 5.22 0.37 X4 5.2 5.1 4.8 4.9 5.3 5.06 0.21 X5 2.5 3.2 2.7 2.9 3.1 2.88 0.29 X6 3 3.5 3.1 2.8 2.5 2.98 0.37 X7 6.2 6.1 5.75 5.2 6.71 5.99 0.56 X8 6 6.16 5.11 4.85 5.64 5.55 0.56

In this way, if the average and standard deviation for the measurement length of the corners in the five pieces of material are calculated, the consistency score calculating unit 116 has eight corners (X1, X2, X3, X4, X5, X6, X7, X8) ) Consistency values for each of the eight corners (X1, X2, X3, X4, X5, X6, X7, X8) can be calculated to have a negative correlation with the ratio of the standard deviation to the calculated mean for each. .

At this time, according to an embodiment of the present invention, the consistency score calculator 116 may calculate the consistency value according to the operation of Equation 2 below.

은 평균에 대한 표준 편차의 비율을 의미한다.Where U is the consistency number, m is the mean, and dev is the standard deviation,

Is the ratio of the standard deviation to the mean.

When the consistency values for each of the eight corners (X1, X2, X3, X4, X5, X6, X7, X8) are calculated according to Equation 2, it can be represented as in Table 6 below.

Corner type Consistency figures X1 87.58 X2 88.68 X3 92.91 X4 95.85 X5 89.93 X6 87.58 X7 90.65 X8 89.91

Thus, when the calculation of the consistency values for each of the eight corners (X1, X2, X3, X4, X5, X6, X7, X8) is completed, the consistency score calculating unit 116 has eight corners (X1, X2, X3) , X4, X5, X6, X7, X8) The average of the consistency values calculated for each may be calculated as a consistency score for the food ingredients, and thus, in the embodiment shown in Table 6, the consistency score is 90.39 points. Can be calculated as

The quickness score calculating unit 117 checks the reception interval time of the pressure value received through the pressure sensor, adds the reception interval time of the pressure value, and calculates the total time required for the food material to be sliced. A quickness score for the food ingredient is calculated to have a negative correlation with the calculated total time.

At this time, according to an embodiment of the present invention, the quickness score calculating unit 117 checks the reception interval time of the pressure value received through the pressure sensor, and adds the reception interval time of the pressure value to sum the food material If the calculated total time falls within a predetermined reference time after calculating the total time taken for cutting, if the calculated total time does not fall within the reference time, a negative correlation with the calculated total time The quickness score for the food ingredient is calculated to have a, and when the calculated total time falls within the reference time, the quickness score may be calculated as 100 points.

In addition, according to an embodiment of the present invention, the quickness score calculating unit 117 corresponds to slicing the food material only when the size of the pressure value received through the pressure sensor exceeds a preset reference size. By treating it as a pressure value, it is possible to calculate the total time taken for the food ingredients to be sliced.

For example, suppose that the pressure value received through the pressure sensor is as shown in Table 7 below.

Time the pressure value was received Pressure value 0 ms Pressure value 1 1 ms Pressure value 2 4 ms Pressure value 3 5 ms Pressure value 4 7 ms Pressure value 5

When the size of the 'pressure value 4' in Table 7 does not exceed a predetermined reference size, the quickness score calculating unit 117 is the 'pressure value 4' among the 'pressure values 1, 2, 3, 4, 5'. The total time taken for the food ingredients called '7ms' to be sliced can be calculated by adding up '1ms, 3ms, 3ms', which is the reception interval time of 'pressure values 1, 2, 3, 5'.

At this time, the quickness score calculating unit 117 may check whether the total time, called '7 ms', falls within a predetermined reference time.

If it is determined that the total time falls within the reference time, the quickness score calculating unit 117 may calculate the quickness score as 100 points.

However, when it is determined that the total time does not fall within the reference time, the quickness score calculating unit 117 can calculate the quickness score for the food ingredient so as to have a negative correlation with the total time, and According to an embodiment of the present invention, the quickness score calculator 117 may calculate the quickness score according to the operation of Equation 3 below.

Here, S _s is the speed score, AT is the reference time, T is the total time.

The thickness score calculator 118 calculates the average of the measured lengths of the plurality of material pieces 240 of the first corner indicating the thickness of the material piece among the four corners constituting the second rectangle 260. The thickness score for the food material is then calculated to be inversely proportional to the average of the first corners.

For example, if X5 among X4, X6, X7, and X8, which are four corners constituting the second rectangle 260, is referred to as the first corner, and there are five pieces of material, the thickness score calculator 118 After calculating the average of the measured lengths of the five material pieces for X5, the thickness score can be calculated to be inversely proportional to the average.

At this time, according to an embodiment of the present invention, the thickness score calculator 118 may calculate the thickness score according to the operation of Equation 4 below.

Where R _s is the thickness score and K is the average of the measured lengths of the five material pieces for X5.

The evaluation score calculating unit 119, when the accuracy score, the consistency score, the quickness score and the thickness score are calculated, based on the accuracy score, the consistency score, the quickness score and the thickness score, for the food ingredient Calculate the slice evaluation score.

In this case, according to an embodiment of the present invention, the apparatus 110 for supporting the slicing ability for food ingredients may further include a cutting board image acquisition unit 121 and a cleanliness score calculation unit 122.

The chopping board image acquisition unit 121 acquires a chopping board image of the top surface of the chopping board 230 photographed through the second camera 221 in a situation where the chopping board 230 does not have the food material.

The cleanliness score calculating unit 122 calculates the abundance ratio of pixels having a pixel value according to at least one reference color predetermined as a color of contaminants in all pixels constituting the chopping image, and the calculated abundance ratio and The cleanliness score for the cutting board 230 is calculated to have a negative correlation.

At this time, according to an embodiment of the present invention, the cleanliness score calculator 122 may calculate the cleanliness score based on Equation 5 below.

는 상기 존재 비율을 의미한다.Here, C _s is the cleanliness score, Re is the total number of pixels constituting the chopping image, P is the number of pixels having a pixel value according to the at least one reference color,

Means the abundance ratio.

At this time, the evaluation score calculation unit 119 may calculate the slicing evaluation score for the food ingredient based on the accuracy score, the consistency score, the quickness score, the thickness score, and the cleanliness score.

At this time, according to an embodiment of the present invention, the evaluation score calculation unit 119 is different from each other in advance predetermined for applying to the accuracy score, the consistency score, the quickness score, the thickness score, and the cleanliness score. A weighted average of the accuracy score, the consistency score, the quickness score, the thickness score, and the cleanliness score may be calculated based on a weight to calculate the weighted average as the slicing evaluation score for the food ingredient.

In relation to this, the evaluation score calculating unit 119 may calculate the slice evaluation score according to the operation of Equation 6 below.

은 상기 정확성 점수, 상기 일관성 점수, 상기 신속성 점수, 상기 두께 점수 및 상기 청결도 점수에 대해서 미리 할당된 가중치로 그 합계는 1이다.Here, E means the slicing evaluation score, A _s means the accuracy score, D _s means the consistency score, S _s means the quickness score, R _s means the thickness score, C _s means the cleanliness score,

Is the weight assigned in advance for the accuracy score, the consistency score, the quickness score, the thickness score and the cleanliness score, and the sum is 1.

Thus, when the calculation of the slicing evaluation score for the food ingredients is completed, the score output unit 120 outputs the slicing evaluation score on the screen.

Through this, the user can measure how well the food ingredients are sliced.

At this time, according to an embodiment of the present invention, the device 110 for supporting the slicing ability for food ingredients is received through the pressure sensor in addition to the accuracy score, the consistency score, the quickness score, the thickness score and the cleanliness score Based on the reception interval time of the pressure value to be measured, the rhythmic feeling of the knife, which occurs with respect to the cutting board 230, is measured numerically, and then it is determined how close the rhythmic sense measured with the numerical value is to the reference value for the food material to obtain a predetermined rhythmic score. After additional calculation, it may be configured to perform the calculation of the slicing evaluation score further considering the rhythmic score.

In addition, according to an embodiment of the present invention, the device 110 for evaluating the slicing ability for food ingredients measures the speed of the knife cutting on the cutting board 230 based on the pressure value received through the pressure sensor. By displaying the result value on the screen, and measuring the left and right movement speed of the knife based on the cutting interval and the cutting speed of the plurality of pieces of material 240, the result value is displayed on the screen, so that the user himself It may further include a configuration that allows you to check whether you are performing this cut properly.

4 is a flowchart illustrating an operation method of a device for evaluating slicing ability for food ingredients according to an embodiment of the present invention.

In step S400, a pressure value sensed whenever a food material is sliced with a knife is received through a pressure sensor provided on a cutting board.

In step S410, a cross-sectional image of each of the plurality of pieces of material generated by cutting the food material with a knife is acquired through a first camera positioned in the horizontal direction of the cutting board.

In step S420, a cross-sectional image of each top surface of each of the plurality of material pieces is acquired through a second camera located at the top of the cutting board.

In step S430, a virtual first rectangle surrounding an outer region of each of the plurality of material pieces is generated from a cross-sectional image of the front of each of the plurality of material pieces, and each of the plurality of material pieces From the cross-sectional image of the top surface of the, create a virtual second rectangle surrounding the outer region for the top surface of each of the plurality of pieces of material.

In step S440, for each of the plurality of pieces of material, the lengths of the eight corners constituting the first rectangle and the second rectangle are measured, and eight reference lengths predetermined as corresponding to the eight corners And calculating an accuracy value indicating the accuracy of the knife based on the error between the lengths of the 8 edges and calculating the average of the accuracy values calculated for each of the plurality of material pieces as an accuracy score for the food ingredients do.

In step S450, the average and standard deviation of the measured lengths of the plurality of material pieces of each of the eight corners constituting the first rectangle and the second rectangle are calculated, and for each of the eight corners Based on the calculated average and standard deviation, a consistency value indicating consistency between the pieces of the material for each length of the eight edges is calculated, and then the average of the consistency values calculated at each of the eight edges is calculated. Calculate the consistency score for the food ingredients.

In step S460, the reception interval time of the pressure value received through the pressure sensor is checked, and the total reception time of the pressure value is summed to calculate the total time required for the food material to be sliced, and then calculated. A quickness score for the food ingredient is calculated to have a negative correlation with the total time.

In step S470, an average of the measured lengths of the plurality of material pieces of the first corner indicating the thickness of the material piece among the four corners constituting the second rectangle is calculated, and then the average of the first corner is calculated. The thickness score for the food ingredient is calculated to be inversely proportional to.

In step S480, a slicing evaluation score for the food ingredient is calculated based on the accuracy score, the consistency score, the quickness score, and the thickness score.

In step S490, the slicing evaluation score for the food ingredient is displayed on the screen.

At this time, according to an embodiment of the present invention, in step S440, for each of the plurality of pieces of material, the lengths of the eight corners constituting the first rectangle and the second rectangle are measured, and the 8 The average of the error rates between the eight reference lengths and the lengths of the eight corners, which are predetermined to correspond to the four corners, is calculated, and after calculating the accuracy value to have a negative correlation with the average for the error rate, the plurality of The average of the accuracy values calculated for each of the pieces of the material may be calculated as an accuracy score for the food material.

In addition, according to an embodiment of the present invention, in step S450, the average and standard deviation of the measured lengths of the plurality of material pieces of each of the eight corners constituting the first rectangle and the second rectangle are And the consistency indicating the consistency between the pieces of material for each length of each of the eight edges so as to have a negative correlation with the ratio of the standard deviation to the calculated mean for each of the eight edges. After calculating the numerical value, an average of the consistency values calculated at each of the eight corners may be calculated as a consistency score for the food material.

Further, according to an embodiment of the present invention, in step S460, the reception interval time of the pressure value received through the pressure sensor is checked, and the reception interval time of the pressure value is summed to cut the food material. After calculating the total time spent, it is determined whether the calculated total time falls within a predetermined reference time, and if the calculated total time does not fall within the reference time, the calculated total time is negatively correlated with the calculated total time. The quickness score for the food ingredient is calculated, and when the calculated total time falls within the reference time, the quickness score may be calculated as 100 points.

In addition, according to an embodiment of the present invention, a method of operating a device for evaluating the slicing ability for the food material may be performed on a top surface of the cutting board photographed through the second camera in a situation where the food material is not on the cutting board. Obtaining a chopping image and calculating the abundance ratio of pixels having a pixel value according to at least one reference color predetermined as a color of contaminants in all pixels constituting the chopping image, and calculating the abundance ratio and the sound The method may further include calculating a cleanliness score for the chopping board to have a correlation.

At this time, in step S480, the slicing evaluation score for the food ingredient may be calculated based on the accuracy score, the consistency score, the quickness score, the thickness score, and the cleanliness score.

At this time, according to an embodiment of the present invention, in step S480, the accuracy score, the consistency score, the quickness score, the thickness score, and the cleanliness score are applied to the sum based on different predetermined weights. By calculating a weighted average for the accuracy score, the consistency score, the quickness score, the thickness score, and the cleanliness score, the weighted average may be calculated as the slice evaluation score for the food material.

In the above, with reference to FIG. 4, the operation method of the apparatus for supporting evaluation of slicing ability for food ingredients according to an embodiment of the present invention has been described. Here, the operation method of the device for evaluating the slicing ability for food materials according to an embodiment of the present invention includes a configuration for the operation of the device for supporting slicing ability evaluation for food materials 110 described with reference to FIGS. 1 to 3 and Since it may correspond, a more detailed description thereof will be omitted.

The operation method of the apparatus for supporting evaluation of slicing ability for food ingredients according to an embodiment of the present invention may be implemented as a computer program stored in a storage medium for execution through combination with a computer.

In addition, the operation method of the apparatus for supporting the evaluation of slicing ability for food ingredients according to an embodiment of the present invention may be implemented in the form of program instructions that can be performed through various computer means and may be recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, or the like alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the present invention, or may be known and usable by those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs, DVDs, and magnetic media such as floptical disks. -Hardware devices specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language code that can be executed by a computer using an interpreter, etc., as well as machine language codes produced by a compiler.

As described above, the present invention has been described by specific matters such as specific components, etc. and limited embodiments and drawings, but is provided to help the overall understanding of the present invention, and the present invention is not limited to the above embodiments , Anyone having ordinary knowledge in the field to which the present invention pertains can make various modifications and variations from these descriptions.

Therefore, the spirit of the present invention is limited to the described embodiments, and should not be determined, and all claims that are equivalent to or equivalent to the claims, as well as the claims described below, will belong to the scope of the spirit of the present invention. .

110: device for assisting evaluation of slicing ability for food ingredients
111: pressure value receiving unit 112: front image acquisition unit
113: upper image acquisition unit 114: generation unit
115: accuracy score calculation unit 116: consistency score calculation unit
117: prompt score calculation unit 118: thickness score calculation unit
119: evaluation score calculation unit 120: score output unit
121: cutting board image acquisition unit 122: cleanliness score calculation unit

Claims (14)

A pressure value receiving unit configured to receive a pressure value sensed whenever a food material is cut with a knife through a pressure sensor provided on a cutting board;
A front image acquiring unit acquiring a cross-sectional image of each of the plurality of pieces of material generated by cutting the food material with a knife through a first camera positioned in a horizontal direction of the cutting board;
A top image acquiring unit acquiring a cross-sectional image of the top surface of each of the plurality of pieces of material through a second camera located on the top of the cutting board;
An imaginary first rectangle surrounding an outer region of each of the plurality of material pieces is generated from a cross-sectional image of the front of each of the plurality of material pieces, and a top surface of each of the plurality of material pieces is A generation unit for generating a virtual second rectangle surrounding an outer area of each of the plurality of pieces of material from the cross-sectional image;
For each of the plurality of pieces of material, the lengths of the eight corners constituting the first rectangle and the second rectangle are measured, and the eight reference lengths and the eight corners predetermined to correspond to the eight corners. After calculating the accuracy value indicating the accuracy of the knife based on the error between the length of the accuracy score calculation unit for calculating the average of the accuracy value calculated for each of the plurality of material pieces as the accuracy score for the food material ;
The average and standard deviation of the measured lengths of the plurality of material pieces of each of the eight corners constituting the first rectangle and the second rectangle are calculated, and the average and standard calculated for each of the eight corners After calculating the consistency value indicating the consistency between the pieces of the material for the length of each of the eight corners based on the deviation, the average of the consistency values calculated at each of the eight corners is calculated for the food material. A consistency score calculating unit calculating a consistency score;
After checking the reception interval time of the pressure value received through the pressure sensor, and summing the reception interval time of the pressure value to calculate the total time taken for the food ingredients to be sliced, the calculated total time and negative A quickness score calculating unit for calculating a quickness score for the food ingredients to have a correlation;
After calculating the average of the measured lengths of the plurality of material pieces of the first corner indicating the thickness of the material piece among the four corners constituting the second rectangle, the food is inversely proportional to the average of the first corner. A thickness score calculation unit for calculating a thickness score for the material;
An evaluation score calculating unit calculating a slice evaluation score for the food ingredient based on the accuracy score, the consistency score, the quickness score, and the thickness score; And
Score output unit for outputting the slicing evaluation score for the food ingredients on the screen
Support device for slicing ability evaluation for food ingredients including. According to claim 1,
The accuracy score calculation unit
For each of the plurality of pieces of material, the lengths of the eight corners constituting the first rectangle and the second rectangle are measured, and the eight reference lengths and the eight predetermined predetermined to correspond to the eight corners. The average of the error rate between the lengths of the four corners is calculated, and after calculating the accuracy value so as to have a negative correlation with the average of the error rate, the average of the accuracy value calculated for each of the plurality of pieces of material is A device for evaluating slicing ability for food ingredients, which is calculated with an accuracy score for food ingredients. According to claim 1,
The consistency score calculation unit
Calculate the average and standard deviation for the measured lengths of the plurality of material pieces of each of the eight corners constituting the first rectangle and the second rectangle, and for the average calculated for each of the eight corners The consistency value calculated from each of the eight edges is calculated after calculating the consistency value indicating the consistency between the pieces of the material for each length of the eight edges so as to have a negative correlation with the ratio of the standard deviation. A device for evaluating slicing ability for food ingredients that calculates an average of the results as a consistency score for the food ingredients. According to claim 1,
The rapidity score calculation unit
After checking the reception interval time of the pressure value received through the pressure sensor, and adding the reception interval time of the pressure value to calculate the total time taken for the food ingredients to be sliced, the calculated total time is predetermined If the calculated total time does not fall within the reference time by checking whether it falls within the reference time, the quickness score for the food ingredient is calculated to have a negative correlation with the calculated total time, and the calculated total time When it falls within the reference time, the slicing ability evaluation support device for the food material that calculates the quickness score as 100 points. According to claim 1,
A cutting board image acquiring unit acquiring a cutting board image of an upper surface of the cutting board taken through the second camera in a situation where the food material is not in the cutting board; And
Calculate the abundance ratio of pixels having a pixel value according to at least one reference color predetermined as a color of contaminants in all pixels constituting the chopping image, and the chopping board has a negative correlation with the calculated abundance ratio Cleanliness score calculation unit to calculate the cleanliness score for
Further comprising,
The evaluation score calculation unit
A device for evaluating slicing ability for food ingredients that calculates the slicing evaluation score for the food ingredient based on the accuracy score, the consistency score, the quickness score, the thickness score, and the cleanliness score. The method of claim 5,
The evaluation score calculation unit
The accuracy score, the consistency score, the quickness score, and the thickness score based on predetermined different weights of 1 for the accuracy score, the consistency score, the quickness score, the thickness score, and the cleanliness score. And a slicing ability evaluation support device for food ingredients calculating a weighted average for the cleanliness score and calculating the weighted average as the slicing evaluation score for the food ingredients. Receiving a pressure value sensed whenever a food material is cut with a knife through a pressure sensor provided on a cutting board;
Obtaining a cross-sectional image of each of the plurality of pieces of material generated by cutting the food material with a knife through a first camera positioned in a horizontal direction of the cutting board;
Acquiring a cross-sectional image of the top surface of each of the plurality of pieces of material through a second camera located on the top of the cutting board;
An imaginary first rectangle surrounding an outer region of each of the plurality of material pieces is generated from a cross-sectional image of the front of each of the plurality of material pieces, and a top surface of each of the plurality of material pieces is Generating a virtual second rectangle surrounding the outer region of the top surface of each of the plurality of pieces of material from the cross-sectional image;
For each of the plurality of pieces of material, the lengths of the eight corners constituting the first rectangle and the second rectangle are measured, and the eight reference lengths and the eight corners predetermined to correspond to the eight corners. Calculating an accuracy value indicating the accuracy of the knife based on an error between the lengths of and calculating an average of the accuracy values calculated for each of the plurality of material pieces as an accuracy score for the food material;
The average and standard deviation of the measured lengths of the plurality of material pieces of each of the eight corners constituting the first rectangle and the second rectangle are calculated, and the average and standard calculated for each of the eight corners After calculating the consistency value indicating the consistency between the pieces of the material for the length of each of the eight corners based on the deviation, the average of the consistency values calculated at each of the eight corners is calculated for the food material. Calculating a consistency score;
After checking the reception interval time of the pressure value received through the pressure sensor, and adding the reception interval time of the pressure value to calculate the total time taken for the food ingredients to be sliced, the calculated total time and negative Calculating a quickness score for the food ingredients to have a correlation;
After calculating the average of the measured lengths of the plurality of material pieces of the first corner indicating the thickness of the material piece among the four corners constituting the second rectangle, the food is inversely proportional to the average of the first corner. Calculating a thickness score for the material;
Calculating a slice evaluation score for the food ingredient based on the accuracy score, the consistency score, the quickness score, and the thickness score; And
Outputting the slicing evaluation score for the food ingredient on a screen
Method of operation of the device for supporting evaluation of slicing ability for food ingredients, including. The method of claim 7,
The step of calculating with the accuracy score is
For each of the plurality of pieces of material, the lengths of the eight corners constituting the first rectangle and the second rectangle are measured, and the eight reference lengths and the eight predetermined predetermined to correspond to the eight corners. The average of the error rate between the lengths of the four corners is calculated, and after calculating the accuracy value so as to have a negative correlation with the average of the error rate, the average of the accuracy value calculated for each of the plurality of pieces of material is Method of operation of the device for assisting the evaluation of the slicing ability for food ingredients, which is calculated with an accuracy score for the food ingredients. The method of claim 7,
The step of calculating the consistency score
Calculate the average and standard deviation for the measured lengths of the plurality of material pieces of each of the eight corners constituting the first rectangle and the second rectangle, and for the average calculated for each of the eight corners The consistency value calculated from each of the eight edges is calculated after calculating the consistency value indicating the consistency between the pieces of the material for each length of the eight edges so as to have a negative correlation with the ratio of the standard deviation. A method of operating a device for evaluating slicing ability for food ingredients that calculates an average of the results as a consistency score for the food ingredients. The method of claim 7,
The step of calculating the quickness score
After checking the reception interval time of the pressure value received through the pressure sensor, and adding the reception interval time of the pressure value to calculate the total time taken for the food ingredients to be sliced, the calculated total time is predetermined If the calculated total time does not fall within the reference time by checking whether it falls within the reference time, the quickness score for the food ingredient is calculated to have a negative correlation with the calculated total time, and the calculated total time If it falls within the reference time, the operation method of the slicing ability evaluation support device for food ingredients that calculates the speed score as 100 points. The method of claim 7,
Acquiring a cutting board image of an upper surface of the cutting board photographed through the second camera in a situation where the food material is not in the cutting board; And
Calculate the abundance ratio of pixels having a pixel value according to at least one reference color predetermined as a color of contaminants in all pixels constituting the chopping image, and the chopping board has a negative correlation with the calculated abundance ratio Steps for calculating cleanliness scores for
Further comprising,
The step of calculating the slicing evaluation score is
A method of operating a slicing ability evaluation support device for food ingredients that calculates the slicing evaluation score for the food ingredients based on the accuracy score, the consistency score, the quickness score, the thickness score, and the cleanliness score. The method of claim 11,
The step of calculating the slicing evaluation score is
The accuracy score, the consistency score, the quickness score, and the thickness score based on predetermined different weights of 1 total for applying to the accuracy score, the consistency score, the quickness score, the thickness score and the cleanliness score. And calculating a weighted average of the cleanliness scores and calculating the weighted average as the slicing evaluation score for the food ingredients. A computer-readable recording medium recording a computer program for executing the method of any one of claims 7 to 12 through combination with a computer. A computer program stored in a storage medium for executing the method of any one of claims 7 to 12 through combination with a computer.

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