Abstract: A tooth surface laser processing method and a laser processing system for the same are provided. The laser processing method adapted for a tooth comprises the following steps. The tooth is first checked up to obtain tooth information so that one may determine whether the tooth is suitable for laser processing steps. A laser processing system is chosen according to the tooth information, and laser parameters are selected and loaded according to the part on the surface of the tooth and the degree required to be processed. The laser processing steps are performed on the surface of the tooth by the laser processing system to form a laser processed structure on the surface of the tooth. The laser processed structure comprises a plurality of micro-grooves and a plurality of micro-bumps therebetween.

Abstract: A laser colored product, a laser coloring method therefor, and a laser coloring system using the same are provided. The laser coloring method comprises the following steps. First, provide a processing workpiece which includes a processing part, and the processing part includes a pattern region. The processing part within the pattern region includes an inner portion and an outer layer, and the outer layer includes metal materials. Use the laser coloring system to irradiate the outer layer of the pattern region in stages to convert the outer layer of the pattern region into a metal color pattern layer. The metal color pattern layer includes metal materials or metal compounds of metal materials, and the metal color pattern layer includes a plurality of pixel units arranged in arrays, wherein each of the pixel units includes a pixel color, and each of the pixel units has a pixel width or a pixel length between 1 ?m to 500 ?m.

Abstract: Disclosed are techniques for elevator control. In one aspect, a sensor senses time series data. A system module identifies a feature point of a target object in the time series data, determines whether feature point coordinates of the feature point are located in an offset space, wherein the offset space has a spatial offset to a button, and sends a control signal if the offset space does not overlap with a first sensing range and the system module determines that the feature point coordinates are located in the offset space for a duration exceeding a first threshold time, or if the offset space overlaps with the first sensing range and the system module determines that the feature point coordinates are located in the offset space for a duration exceeding a second threshold time. An elevator floor controller receives the control signal and cancels the triggering of the button.

Abstract: Disclosed are techniques for elevator control. In an aspect, a sensor senses time series data, wherein the time series data includes at least one image, and range of the image covers a plurality of buttons. A system module configured to determine whether the image contains a target object; determine a tip coordinate of a tip of the target object when the image contains the target object, wherein the tip refers to a point of the target object with the closest distance to the operation panel; and determine button information corresponding to the tip coordinate among a plurality of button information, and transmit a control signal at least according to the button information, wherein the plurality of button information is associated with the plurality of buttons. A controller receives the control signal and perform control operation according to the control signal.

Abstract: A soldering process method includes steps of: establishing a material component database; establishing a working parameter database; analyzing material and component characteristics required for a new soldering process; comparing the characteristics with information in the material component database; selecting operating parameters corresponding to the material and component characteristics similar to those required for the new soldering process; performing the soldering process using the operating parameters corresponding to the material and component characteristics similar to those required for the new soldering process; measuring and recording the soldering process execution information and the final product information; determining whether the final product of the solder process meets the quality control requirements; using the machine learning method to fit the soldering process execution information and the final product information of the solder process to get the operating parameters for the next sol

Abstract: An image positioning system based on upsampling and a method thereof are provided. The image positioning method based on upsampling is to fetch a region image covering a target from a wide region image, determine a rough position of the target, execute an upsampling process on the region image based on neural network data model for obtaining a super-resolution region image, map the rough position onto the super-resolution region image, and analyze the super-resolution region image for determining a precise position of the target. The present disclosed example can significantly improve the efficiency of positioning and effectively reduce the required cost of hardware.

Abstract: A calibration system for robot tool including a robot arm adopting a first coordinate system, a tool arranged on a flange of the robot arm, and an imaging device adopting a second coordinate system is disclosed, wherein an image sensing area is established by the image device. A calibration method is also disclosed and includes steps of: controlling the robot arm to move for leading a tool working point (TWP) of the tool enters the image sensing area; recording a current gesture of the robot arm as well as a specific coordinate of the TWP currently in the second coordinate system; obtaining a transformation matrix previously established for describing a relationship between the first and the second coordinate systems; and importing the specific coordinate and the current gesture to the transformation matrix for calculating an absolute position of the TWP in the first coordinate system.

Abstract: A calibration system for robot tool including a robot arm adopting a first coordinate system, a tool arranged on a flange of the robot arm, and an imaging device adopting a second coordinate system is disclosed, wherein an image sensing area is established by the image device. A calibration method is also disclosed and includes steps of: controlling the robot arm to move for leading a tool working point (TWP) of the tool enters the image sensing area; recording a current gesture of the robot arm as well as a specific coordinate of the TWP currently in the second coordinate system; obtaining a transformation matrix previously established for describing a relationship between the first and the second coordinate systems; and importing the specific coordinate and the current gesture to the transformation matrix for calculating an absolute position of the TWP in the first coordinate system.

Abstract: An image positioning system based on upsampling and a method thereof are provided. The image positioning method based on upsampling is to fetch a region image covering a target from a wide region image, determine a rough position of the target, execute an upsampling process on the region image based on neural network data model for obtaining a super-resolution region image, map the rough position onto the super-resolution region image, and analyze the super-resolution region image for determining a precise position of the target. The present disclosed example can significantly improve the efficiency of positioning and effectively reduce the required cost of hardware.

Abstract: A soldering process method includes steps of: establishing a material component database; establishing a working parameter database; analyzing material and component characteristics required for a new soldering process; comparing the characteristics with information in the material component database; selecting operating parameters corresponding to the material and component characteristics similar to those required for the new soldering process; performing the soldering process using the operating parameters corresponding to the material and component characteristics similar to those required for the new soldering process; measuring and recording the soldering process execution information and the final product information; determining whether the final product of the solder process meets the quality control requirements; using the machine learning method to fit the soldering process execution information and the final product information of the solder process to get the operating parameters for the next sol