Abstract: A machine learning method includes: distinguishing foregrounds and backgrounds of a first image to generate a first mask image; cropping the first image to generate second and third images; cropping the first mask image to generate second and third mask images, wherein a position of the second mask image and a position of the third mask image correspond to a position of the second image and a position of the third image, respectively; generating a first feature vector group of the second image and a second feature vector group of the third image by a model; generating a first matrix according to the first and second feature vector groups; generating a second matrix according to the second and third mask images; generating a function according to the first and second matrices; and adjusting the model according to the function.

Abstract: A flatbed laser engraver comprises a working platform for fixing a workpiece thereon and a carriage moving back and forth on a guiding rail of the working platform. It is characterized in that the flatbed laser engraver further comprises a quantum cascade laser output device disposed on the working platform. The quantum cascade laser output device is connected to the power supplying device of the flatbed laser engraver on one end and connected to the carriage on another end for providing the laser output energy that the carriage needs.