SORTING SUPPORT APPARATUS, SORTING SUPPORT SYSTEM, SORTING SUPPORT METHOD, AND PROGRAM
A sorting support apparatus is provided with: an input part that inputs a transmission image obtained by radiating an inspection target with electromagnetic waves; a storage part that stores a plurality of learning models optimized respectively for at least one article and being associated with an assumed usage condition; and a determination part that selects one of the learning models based on a specified usage condition and uses the learning model to determine whether or not the one or more articles is contained in the inspection target.
1 . A sorting support apparatus comprising:
an input part configured to input a transmission image obtained by radiating an inspection target with electromagnetic waves;
a storage part configured to store a plurality of learning models optimized respectively for at least one article and being associated with an assumed usage condition; and
a determination part configured to select one of the learning models based on a specified usage condition and uses the learning model to determine whether or not the one or more articles is contained in the inspection target.
2 . The sorting support apparatus according to claim 1 , wherein the learning model is created in accordance with a trend of handled goods at a location where the sorting support apparatus is disposed.
3 . The sorting support apparatus according to claim 1 , wherein the learning model is created in accordance with a trend of handled goods in a time-period in which sorting is performed.
4 . The sorting support apparatus according to claim 1 , wherein the learning model is created in accordance with a trend of handled goods according to sender location.
5 . The sorting support apparatus according to claim 1 , wherein it is possible to change a threshold for determining, in the determination part, whether or not the at least one article is included.
6 . A sorting support system wherein the sorting support apparatus of claim 1 is disposed at multiple stages to determine in a stepwise manner whether or not the at least one article is included, using different learning models.
7 . The sorting support system according to claim 6 , configured so that
a sorting support apparatus at a first stage uses a learning model optimized for sorting paper and non-paper articles, and
sorting support apparatuses at second and following stages use learning models optimized for further sorting the non-paper articles.
8 . A sorting support method, wherein a sorting support apparatus that comprises
an input part configured to input a transmission image obtained by radiating an inspection target with electromagnetic waves, and
a storage part configured to store a plurality of learning models optimized respectively for at least one article and being associated with an assumed usage condition:
selects one of the learning models based on a specified usage condition; and
determines, by using the learning model, whether or not the one or more articles is included in the inspection target.
9 . (canceled)
10 . The sorting support apparatus according to claim 2 , wherein the learning model is created in accordance with a trend of handled goods in a time-period in which sorting is performed.
11 . The sorting support apparatus according to claim 2 , wherein the learning model is created in accordance with a trend of handled goods according to sender location.
12 . The sorting support apparatus according to claim 3 , wherein the learning model is created in accordance with a trend of handled goods according to sender location.
13 . The sorting support apparatus according to claim 2 , wherein it is possible to change a threshold for determining, in the determination part, whether or not the at least one article is included.
14 . The sorting support apparatus according to claim 3 , wherein it is possible to change a threshold for determining, in the determination part, whether or not the at least one article is included.
15 . The sorting support apparatus according to claim 4 , wherein it is possible to change a threshold for determining, in the determination part, whether or not the at least one article is included.
16 . A sorting support system wherein the sorting support apparatus of claim 2 is disposed at multiple stages to determine in a stepwise manner whether or not the at least one article is included, using different learning models.
17 . A sorting support system wherein the sorting support apparatus of claim 3 is disposed at multiple stages to determine in a stepwise manner whether or not the at least one article is included, using different learning models.
18 . A sorting support system wherein the sorting support apparatus of claim 4 is disposed at multiple stages to determine in a stepwise manner whether or not the at least one article is included, using different learning models.
19 . A sorting support system wherein the sorting support apparatus of claim 5 is disposed at multiple stages to determine in a stepwise manner whether or not the at least one article is included, using different learning models.
20 . The sorting support system according to claim 16 , configured so that
a sorting support apparatus at a first stage uses a learning model optimized for sorting paper and non-paper articles, and
sorting support apparatuses at second and following stages use learning models optimized for further sorting the non-paper articles.