JP2002133075A - System for evaluating level of interest in commodity - Google Patents

Abstract

PROBLEM TO BE SOLVED: To reconsider future commodity arrangement and to consider a method for using the area for the commodity by evaluating a level of interest in a commodity. SOLUTION: The system is provided with a camera for photographing the movement of a person in a store, a picture processing means extracting an area where the occupation rate of the persons is high and an area where the rate is low from photographed picture data and a means supplying information on the level of interest in the commodity based on the high and low of the occupation rate, or the system is provided with a means obtaining the sales of the commodity from information on a POS system and a means supplying information where the level of interest in the commodity in the area where the occupation rate is high and the sales are put together.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention evaluates the degree of interest in merchandise and exhibits (hereinafter simply referred to as merchandise) in retail stores and exhibition facilities (hereinafter simply referred to as stores) such as department stores, supermarkets, convenience stores and museums. About the system.

[0002]

2. Description of the Related Art In retail stores and exhibition facilities such as department stores, supermarkets, convenience stores, and museums, sales management, product allocation, and exhibition planning are important management items directly related to business performance. is there. In particular, when it comes to product arrangements, they have the characteristic that the product arrangements themselves are directly linked to sales. At present, sales plans and the like are determined based on data such as POS and human experience. However, POS cannot be read as errors due to deterioration or shoplifting of products, the level of consumer interest in products, and dead space. Detection. P
The OS can know the sales as a result, but cannot evaluate how much the consumer is interested in the product / field. In addition, if you want to arrange products that can be sold in narrow stores with high aggregation and high efficiency like a convenience store, eliminating dead space can be said to be a basic strategy for improving profits, but at present, dead space detection is Much depends on human experience.

[0003] The present invention solves the above-mentioned conventional problems and problems. By evaluating the degree of interest in commodities, it is possible to review the arrangement of commodities in the future and to evaluate how to use the area. The purpose is to provide a system.

[0004]

In order to achieve the above object, a system for evaluating the degree of interest in goods according to claim 1 of the present invention comprises a camera for photographing the movement of a person in a store, and a camera for photographing image data. 3. The invention according to claim 2, further comprising image processing means for extracting an area where the occupancy rate of the person is high and an area where the occupancy rate is low, and means for providing information on the degree of interest in the product based on the level of the occupancy rate. A camera for photographing the movement of a person in a store, an image processing means for extracting an area where the occupancy of the person is high from the photographed image data, a means for acquiring sales of goods from information of a POS system, A means for providing information in accordance with the degree of interest of the product in the region with a high occupancy and the sales is provided.

[0005]

Embodiments of the present invention will be described below with reference to the drawings. 1 and 2 show an embodiment of a product interest degree evaluation system according to the present invention. FIG. 1 is a configuration diagram of a detection system for detecting a distribution state of consumers, and FIG. 2 explains the processing of FIG. FIG.

In FIG. 1, a CCD camera 2 is installed above an observation area 1 to be analyzed, and a camera 3 captures an image of a consumer 3 moving within the observation area 1. CCD camera 2
Is input to the image processing device 4.
The photographed image is composed of a large number of pixels, and an analog optical signal for each pixel is converted into an electric signal by digital conversion to obtain an input image composed of, for example, 256 gradation data. Next, a background image in which a moving object (consumer) is deleted is created by averaging a predetermined number of input images within a certain period of time, and is stored in the background memory. Next, the difference image between the background image and the input image is binarized, accumulated, and stored in the accumulation memory. Next, after obtaining the final accumulated image, the number of consumers is output to the display device 5 by the processing by the consumer counting program. In addition, camera 2
May be newly established or an existing security camera may be used.

FIG. 2 is a diagram for explaining the processing of FIG. First, the image data that changes every moment by the CCD camera 2 is sent to the image processing device 4, and the image processing device 4
The averaging of a plurality of input images 6 is performed at a predetermined time T ₁ (for example, 20 seconds), and a background image 7 of only the background portion 9 excluding the moving object (consumer) 3 from the input image 6 is created. Note that the background image can be created by any method that can obtain an image excluding a moving object.

After the background image 7 is created, an absolute value difference process is performed between the background image 7 and an input image that is subsequently input. Since the moving body 3 without the background portion 9 remains in the image obtained by taking the difference, the portion is cut out by the binarization processing. This processing constant time T ₂
(For example, 100 seconds), and the cut-out images are accumulated. The above processing is set as one set, and this is repeated several times, and the degree of accumulation is displayed as an analysis result. According to this analysis result, the portion where the probability of the presence of the consumer is high has a high degree of accumulation, and is displayed brightly in the image.

With the above processing, it is possible to extract, from the input image, a region where the occupancy of the consumer is high (a region where the degree of interest is high) and a region where the consumer is low. It is possible to automatically analyze where and how long the moving object has been in the observation area.

FIGS. 3 and 4 show an embodiment of the present invention. FIG. 3 shows an image in which a region where the occupancy of the consumer is low, that is, a dead space (hatched portion) is superimposed on a plan view of a store. FIG. 4 is a diagram for explaining an example of information provision.

In FIG. 3, information on the dead space (hatched portion) can be provided at intervals of several minutes to several hours, and it is possible to more accurately examine the effective use of the dead space based on the information. . Analytical data is temporal,
Since the data is provided as spatially averaged data, it is hardly influenced by the irregular behavior of the individual, and can be regarded as a characteristic of the behavior of many people.

[0012] Possible causes of the dead space, that is, the part with a low degree of interest, are: • the product is not attractive; • it stops sufficiently and cannot be examined; • there is no need for traffic.

On the store side, measures to deal with dead space include:-placement of attractive products;-change in the layout of shelves;-installation of advertisements (so as not to hinder traffic).

FIG. 4 shows an example of providing information to a store. The analysis data of the dead space can be continuously acquired temporally, and further, a change in the occupation state of a person at an arbitrary place can be displayed.

The case of FIG. 4A shows the case of the observation point A (next to the cash register) in FIG. 3, and since there are few people in and out, but there is no space for products, it is considered to place even a large advertising medium. Evaluate as possible.

The case of FIG. 4B shows the case of the observation point B (in the vicinity of the commodity C group) in FIG. 3, and since the entrance and exit of the person can be confirmed, and this does not apply to the dead space, this point is not a problem. Evaluate as possible.

The case of FIG. 4C shows the case of the observation point C (in the vicinity of the commodity I group) in FIG. Despite being near the product, this state is considered to be due primarily to a problem with the product.

FIGS. 5 and 6 show another embodiment of the present invention. FIG. 5 shows an image in which a region (hatched portion) where the occupancy of the consumer is high is superimposed on the plan view of the store. FIG. 6 is a diagram for explaining an example of providing information.

In FIG. 5, information of a portion (hatched portion) having a high degree of interest can be provided at intervals of several minutes to several hours, and based on the information, effective use of dead space can be more accurately examined. Will be possible. Since the analysis data is provided as data averaged over time and space, it is hardly influenced by the irregular behavior of the individual, and can be regarded as a characteristic of the behavior of many people.

Causes of the occurrence of a part where a person enters a high degree, that is, a part with a high degree of interest are as follows.・ I want to stop and study enough. ・ I have to stop on the road.

On the store side, the same image can be used as reference data for changing the product arrangement / contents. For example, when examining a future product composition strategy, measures can be examined based on the relationship between sales and the degree of interest. The sales are obtained from data of a POS (Point Of Sales) system (point-of-sale information management system). For example, when the sales amount is high and the degree of interest is high, there is a high possibility that the product will grow, and the product configuration / price is changed. If sales are low and interest is low, wait for a while. When sales are high and interest is high, it is necessary to strengthen the product. If the sales are high and the degree of interest is low, an evaluation is made to determine whether the placement of the product is bad.

FIG. 6 shows an example of providing information to the store. The analysis data of the sales amount and the degree of interest can be continuously acquired in time, and the change of the occupation state of a person at an arbitrary place can be displayed.

The case shown in FIG. 6A shows the case of the product A group shown in FIG. 5. Since the sales and the degree of interest are high, it is evaluated that the structure of this product will be strengthened in the future.

The case of FIG. 6B shows the case of the product B group of FIG. 5. For the same product, the sales are not increasing despite the approaching person and the product configuration is weak. And evaluate whether there is a bottleneck in traffic.

The case of FIG. 6C shows the case of the product C group in FIG. 5, and there is no sales person for the same product despite the sales. Evaluate whether there is a problem with the placement, whether it is a standard product, or whether changing the placement may be expected to improve sales.

The case of FIG. 6D shows the case of the product D group of FIG. 5, and the product has a low sales and a low degree of interest. After a while, if this trend does not change, we will have to reduce it in the future.

[0027]

As is apparent from the above description, according to the present invention, by evaluating the degree of interest in commodities, it is possible to review the arrangement of commodities in the future and to examine how to use the area.

For example, by detecting a dead space in a supermarket or the like, it is possible to reflect the dead space in a future product arrangement. As an effective use of the dead space, an attractive product may be arranged or, conversely, a walking obstacle. It is conceivable to arrange an exhibit such as that shown in FIG.

Also, if there is a track record in sales data for a product in an area of high interest, it is conceivable to strengthen that field. Can be used for study materials such as reviewing the product configuration and price.

Further, in the case of an exhibition facility, the level of interest in an exhibit in an area with a high occupancy can be analyzed. Can be used for study materials.

[Brief description of the drawings]

FIG. 1 is a configuration diagram of a detection system that detects a distribution state of a consumer according to an embodiment of a product interest degree evaluation system according to the present invention.

FIG. 2 is a diagram for explaining the process of FIG. 1;

FIG. 3 is a diagram showing an embodiment of the present invention, showing an image in which a region where the occupancy of the consumer is low, that is, a dead space (hatched portion) is superimposed on a plan view of a store.

FIG. 4 is a diagram for explaining an example of information provision related to FIG. 3;

FIG. 5 is a diagram showing another embodiment of the present invention and showing an image in which a region (hatched portion) where the occupancy of the consumer is high is superimposed on a plan view of a store.

FIG. 6 is a diagram for explaining an example of information provision related to FIG. 5;

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Claims (2)

[Claims] 1. A camera for photographing the movement of a person in a store, image processing means for extracting an area where the occupancy of the person is high and a low area from the photographed image data, and a product based on the level of the occupation. Means for providing information on the degree of interest of the product. 2. A camera for photographing the movement of a person in a store, an image processing means for extracting an area having a high occupancy of a person from the photographed image data, and a sales amount of a product from information of a POS system. And means for providing information in accordance with the degree of interest of the product in the area with a high occupancy and the sales amount.