Abstract: A diagnostic assistance system for assisting a person in performing diagnosis of an object includes target data storage means for storing target data indicating a state of the object, diagnostic task means for providing each of a first user and a second user with the target data to enable each of the first user and the second user to perform a diagnostic task of the object, diagnostic result means for receiving a result of diagnosis of the object by each of the first user and the second user, and sharing means for enabling the first user and the second user to share result of diagnosis by each of the first user and the second user. The diagnostic task includes a first sub-task of investigating the target data to output a first diagnostic result and a second sub-task of using the first diagnostic result to output a second diagnostic result.

Abstract: The present invention makes an efficient diagnosis of an object. A general server 3 of a diagnostic assistance system 1 provides data (a large volume of photographic images) concerning an object managed by each client, to said client and a plurality of analysts and experts, and allows such diagnosers to diagnose the object and enables sharing of diagnosis results among the diagnosers. The plurality of analysts each partially contribute in viewing the large volume of photographic images so as to find an abnormal site in the object. The client and the experts then conduct a more detailed diagnosis on the abnormal site discovered by the analysts. An AI server 5 of the diagnostic assistance system 1 creates training data from the diagnosis results provided by the plurality of diagnosers, performs machine learning on the diagnosis results, and carries out automated diagnosis using the learned method.

Abstract: The present invention makes an efficient diagnosis of an object. A general server 3 of a diagnostic assistance system 1 provides data (a large volume of photographic images) concerning an object managed by each client, to said client and a plurality of analysts and experts, and allows such diagnosers to diagnose the object and enables sharing of diagnosis results among the diagnosers. The plurality of analysts each partially contribute in viewing the large volume of photographic images so as to find an abnormal site in the object. The client and the experts then conduct a more detailed diagnosis on the abnormal site discovered by the analysts. An AI server 5 of the diagnostic assistance system 1 creates training data from the diagnosis results provided by the plurality of diagnosers, performs machine learning on the diagnosis results, and carries out automated diagnosis using the learned method.

Abstract: The present invention provides a device for creating a photographing plan by extracting a changed point from target points to preferentially photograph the extracted point. The photographing plan creation device includes: a photographed data reception part for receiving a first photographed data photographed by a flying object; a change determination part for comparing the first photographed data to a second photographed data which is the past photographed data stored in an image data storage part; a priority setting part for setting the shooting priority based on the comparison result; a photographing possibility determination part for determining whether photography is possible at the observation time; a photographing plan creation part for creating a photographing plan based on the shooting priority and the photographing possibility determination; and a shooting command transmission part for converting the photographing plan to a command and transmitting the command to the flaying object.

Abstract: The present invention provides a device for creating a photographing plan by extracting a changed point from target points to preferentially photograph the extracted point. The photographing plan creation device includes: a photographed data reception part for receiving a first photographed data photographed by a flying object; a change determination part for comparing the first photographed data to a second photographed data which is the past photographed data stored in an image data storage part; a priority setting part for setting the shooting priority based on the comparison result; a photographing possibility determination part for determining whether photography is possible at the observation time; a photographing plan creation part for creating a photographing plan based on the shooting priority and the photographing possibility determination; and a shooting command transmission part for converting the photographing plan to a command and transmitting the command to the flaying object.