Sorting support apparatus, sorting support system, sorting support method, and program

Abstract

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.