Abstract: A control method of a fastening tool for fastening a component part includes photographing a fastening portion of the component part through a camera portion mounted on the fastening tool. The control method includes pre-processing that rotates an input image, which has been photographed by the camera portion, to match with representative model image. The control method includes estimating the fastening portion through an inference process through a convolutional neural network (CNN) algorithm-based image classification work on a video input image of a same fastening portion finished with the pre-processing work. The control method also includes setting a torque value that is matched with a recognized fastening portion when a probability value of the fastening portion in the inference process exceeds a predetermined reference ratio.

Abstract: A method for determining a number of individuals of microorganisms included in a sample using an optical apparatus, comprising steps of: collecting, by the image acquisition unit, light radiated by microorganisms which radiate only light of a specific wavelength range and are included in the sample; generating, by the image acquisition unit, an image of the collected image; displaying, by the image processing unit, the image generated by the image acquisition unit on a screen, analyzing each of pixels forming the screen on which the image has been displayed, and classifying a plurality of pixels which belongs to the pixels included in the screen and continuously emit light to be a single object; and calculating, by the image processing unit, a total number of objects classified in the screen.

Abstract: A method for determining a number of individuals of microorganisms included in a sample using an optical apparatus, comprising steps of: collecting, by the image acquisition unit, light radiated by microorganisms which radiate only light of a specific wavelength range and are included in the sample; generating, by the image acquisition unit, an image of the collected image; displaying, by the image processing unit, the image generated by the image acquisition unit on a screen, analyzing each of pixels forming the screen on which the image has been displayed, and classifying a plurality of pixels which belongs to the pixels included in the screen and continuously emit light to be a single object; and calculating, by the image processing unit, a total number of objects classified in the screen.