Abstract:
A candidate site evaluation system includes: an evaluator that evaluates suitability of a candidate site in a target area based on a candidate site evaluation model and a second map, the candidate site evaluation model being obtained as a result of machine learning using a first map that shows any area and position information indicating locations of one or more existing facilities of a predetermined business type in the any area and being for evaluating the candidate site for opening a facility of the predetermined business type, the second map showing the target area including the candidate site to be evaluated; and an output unit that outputs a result of the evaluation.
Abstract:
A store supporting system includes an estimation unit and an output unit. The estimation unit is configured to estimate, based on a learned model, a management index by using at least operation information as input information. The operation information is information on operation of a target store which is a specific store. The management index is an index relating to management of the target store. The learned model is generated by machine learning with data, as training data, including information on operation of a store and an index relating to management of the store. The output unit is configured to obtain, based on a result of estimation by the estimation unit, recommendation information and output the recommendation information. The recommendation information is information relating to the operation of the target store and is recommendable for the target store.
Abstract:
A recognition system includes a recognition processing unit and a determining processor. The recognition processing unit is configured to recognize a state in a container which allows one or more goods to be put in. The determining processor is configured to determine, based on a recognition result by the recognition processing unit in a transfer operation, whether or not the transfer operation is normal. The transfer operation is an operation of transferring each of the one or more goods from the container into a bag (different container) by a movement mechanism (a support, a guide section, and an elevator unit) configured to move each of the one or more goods.
Abstract:
A collection unit of this demand prediction system collects a plurality of event information that have current or future events and location information indicating locations of the events. An extraction unit extracts event information indicating the event in a predetermined range, which includes the location of a shop from the plurality of event information collected by the collection unit based on the location information. A prediction unit predicts a demand of goods varying at the shop according to the event indicated by the event information extracted by the extraction unit, based on actual result information on a past event corresponding to the event indicated by the event information extracted by the extraction unit. An output unit outputs demand prediction information indicating the demand of goods predicted by the prediction unit.
Abstract:
A video receiving apparatus includes: a receiving unit which receives video content; an extracting unit which extracts a partial content which is a portion of the video content by analyzing the video content, to obtain a feature of the partial content item, the feature being characteristic within the video content; an information generating unit which generates a composition information item indicating the partial content item and including at least one of a character and an image; a priority setting unit which sets a priority of the composition information item based on the feature obtained from the partial content item, the priority indicating a degree of association between the video content and the composition information item; and a display control unit which controls display of the composition information item on a display screen according to the priority of the composition information item set by the priority setting unit.