Abstract: A machine learning method includes: a first principal component analysis step configured to perform principal component analysis on learning data so as to thereby generate two or more principal components of the learning data; a first image data generation step configured to generate virtual image data by assigning, from among the two or more principal components, the first principal component to the X coordinate of an XY plane and the second principal component to the Y coordinate of the XY plane; and a learning step configured to generate a trained model by performing machine learning using the image data as input data.

Abstract: An object recognition device includes: a point cloud measurement unit configured to measure the positions of point clouds included in an object and the distance to each of the point clouds; a noise adding unit configured to add a noise around the measured point clouds according to the distance to each of the point clouds; a noise count memory unit configured to store the total number and position of noises added by the noise adding unit; and a recognition unit configured to recognize the object based on the point clouds and the noises added to the point clouds.

Abstract: An image recognition device includes an image acquisition unit, a composite image generating unit, and a pattern information generating unit. The image acquisition unit is configured to acquire a plurality of pieces of image data captured in accordance with a passage of time. The composite image generating unit is configured to generate composite image data in which the plurality of pieces of image data are arranged. The pattern information generating unit is configured to generate pattern information that is information on a change pattern of each of the pieces of image data in accordance with the passage of time by acquiring a CNN model that is a trained convolutional neural network model and inputting input data that is based on the composite image data to the acquired CNN model. The pattern information indicates whether flicker occurs in an image of the image data.