Self-checkout monitoring system, self-checkout monitoring method, and non-transitory computer readable medium
A self-checkout monitoring system, a self-checkout monitoring method, and a non-transitory computer readable medium capable of monitoring fraud committed by customers at a low cost are provided. A self-checkout monitoring system according to the present disclosure includes: an image-capturing unit configured to capture an image of a plurality of self-checkout machines from above; and an image distribution unit configured to divide the image of the plurality of self-checkout machines captured by the image-capturing unit for each of the plurality of self-checkout machines and distribute the divided images to the plurality of respective self-checkout machines. The self-checkout monitoring system causes display units which display customer's shopping information in the plurality of respective self-checkout machines to display the divided images of the self-checkout machines distributed from the image distribution unit.
1 . A self-checkout monitoring system comprising:
at least one memory storing instructions; and
at least one processor configured to execute the instructions to:
capture an image of a plurality of self-checkout machines from above using at least one wide-angle camera installed at a position from which the at least one wide-angle camera captures the plurality of self-checkout machines at one time;
divide the captured image of the plurality of self-checkout machines for each of the plurality of self-checkout machines such that each respective portion of the divided image includes one self-checkout machine and distribute each respective portion of the divided image to the appropriate one of the plurality of respective self-checkout machines in real time;
and cause each display unit that displays customer shopping information in each of the plurality of respective self-checkout machines to display the respective portion of the divided image of the respective self-checkout machine that has been distributed to the appropriate one of the plurality of self-checkout machines,
wherein a number of the at least one wide-angle camera is smaller than a number of the plurality of self-checkout machines.
2 . The self-checkout monitoring system according to claim 1 , wherein: identification information items for identifying the self-checkout machines are attached to the plurality of respective self-checkout machines; and the at least one processor identifies the self-checkout machines included in the divided images based on the identification information items.
3 . The self-checkout monitoring system according to claim 1 , wherein the at least one processor is configured to: determine, based on the divided images, whether or not a customer who is using a self-checkout machine included in the divided image may commit fraud; and cause the display unit of the self-checkout machine to further display a warning sign when it is determined that the customer is committing fraud.
4 . The self-checkout monitoring system according to claim 3 , wherein the at least one processor determines that the customer is committing fraud when the customer is looking around a predetermined number of times or more.
5 . The self-checkout monitoring system according to claim 4 , wherein the at least one processor enlarges, when it is determined that the customer is committing fraud, the respective portion of the divided image of the appropriate self-check-out machine which is displayed on the display unit of the appropriate self-checkout machine.
6 . A self-checkout monitoring method for causing a computer to execute processing of:
dividing, for each of a plurality of self-checkout machines, an image of the plurality of self-checkout machines that is captured from above using at least one wide-angle camera installed at a position from which the at least one wide-angle camera captures the plurality of self-checkout machines at one time, such that each respective portion of the divided image includes one self-checkout machine, and
distributing each respective portion of the divided image to the plurality of respective self-checkout machines in real time; and
causing each display unit that displays customer shopping information in each of the plurality of respective self-checkout machines to display the respective portion of the divided image of the respective self-checkout machine that has been distributed to the appropriate one of the plurality of self-checkout machines,
wherein a number of the at least one wide-angle camera is smaller than a number of the plurality of self-checkout machines.
7 . The self-checkout monitoring method according to claim 6 , further comprising identifying self-checkout machines included in the divided images based on identification information items for identifying the self-checkout machines attached to the self-checkout machines.
8 . The self-checkout monitoring method according to claim 6 , comprising: determining, based on the divided images, whether or not a customer who is using a self-checkout machine included in the divided image may commit fraud; and further causing the display unit of the self-checkout machine to display a warning sign when it is determined that the customer is committing fraud.
9 . The self-checkout monitoring method according to claim 8 , comprising determining that the customer is committing fraud when the customer is looking around a predetermined number of times or more.
10 . The self-checkout monitoring method according to claim 9 , comprising enlarging the respective portion of the divided image of the appropriate self-checkout which is displayed on the display unit of the appropriate self-checkout machine when it is determined that the customer is committing fraud.
11 . A non-transitory computer readable medium storing a program for causing a computer to execute processing of:
dividing, for each of a plurality of self-checkout machines, an image of the plurality of self-checkout machines that is captured from above using at least one wide-angle camera installed at a position from which the at least one wide-angle camera captures the plurality of self-checkout machines at one time, such that each respective portion of the divided image includes one self-checkout machine, and distributing each respective portion of the divided image to the plurality of respective self-checkout machines in real time; and
causing each display unit that displays customer shopping information in each of the plurality of respective self-checkout machines to display the respective portion of the divided image of the respective self-checkout machine that has been distributed to the appropriate one of the plurality of self-checkout machines,
wherein a number of the at least one wide-angle camera is smaller than a number of the plurality of self-checkout machines.
12 . The non-transitory computer readable medium according to claim 11 , further comprising identifying self-checkout machines included in the divided images based on identification information items for identifying the self-checkout machines attached to the self-checkout machines.
13 . The non-transitory computer readable medium according to claim 11 , comprising: determining, based on the divided images, whether or not a customer who is using a self-checkout machine included in the divided image may commit fraud; and further causing the display unit of the self-checkout machine to display a warning sign when it is determined that the customer is committing fraud.
14 . The non-transitory computer readable medium according to claim 13 , comprising determining that the customer is committing fraud when the customer is looking around a predetermined number of times or more.
15 . The non-transitory computer readable medium according to claim 14 , comprising enlarging the respective portion of the divided image of the appropriate self-checkout which is displayed on the display unit of the appropriate self-checkout machine when it is determined that the customer is committing fraud.