Abstract: A static electricity visualization system capable of visually confirming the level of the measured static electricity is provided. The static electricity visualization system comprises a first measuring unit for measuring a static electricity level detected at a first position of a measurement target and comprising a first mark, a photographing unit for generating a photographed image by photographing the measurement target, a processor for recognizing a first mark in the photographed image and calculating coordinates of the first mark on the photographed image, and an output unit for outputting a static electricity visualization image that visualizes the static electricity level measured by the first measuring unit in a first mode, wherein the static electricity visualization image comprises a color corresponding to a level of static electricity measured by the first measuring unit on the coordinates of the first mark of the photographed image.

Abstract: Provided are a control unit that predicts the life of an inkjet head unit and maximizes its life to be used, and a substrate treating apparatus including the same. The control unit performs maintenance of an inkjet head unit for discharging a substrate treatment liquid onto a substrate and comprises a count module for counting the number of discharges for each nozzle of the inkjet head unit, a comparison module for comparing the number of discharges with a reference value to determine whether the number of discharges is equal to or greater than the reference value, and an evaluation module for evaluating whether a life of the inkjet head unit has reached a usable life based on whether the number of discharges of each nozzle is equal to or greater than the reference value.

Abstract: A static electricity visualization apparatus capable of visually identifying a measured level of static electricity is provided.

Abstract: A computing resource management system using software modularization in a cluster computing environment in which computing devices are connected, including an application process running on each computing device and an algorithm processing process configured to run independently of the application process and perform task processing on the application process, the computing resource management system including: a task managing system configured to receive a task request message from an application process requiring a task from each computing device; a process managing system configured to confirm an algorithm processing process of computing devices connected to the cluster computing environment, and determine whether there is an algorithm processing process in an idle state to which the application process requested for a task will be assigned; and a performed managing system configured to confirm a result of an application process whose task is performed by the algorithm processing process.

Abstract: The inventive concept provides a teaching method for teaching a transfer position of a transfer robot. The teaching method includes: searching for an object on which a target object to be transferred by the transfer robot is placed, based on a 3D position information acquired by a first sensor; and acquiring coordinates of a second direction and coordinates of a third direction of the object based on a data acquired from a second sensor which is a different type from the first sensor.

Abstract: A static electricity visualization apparatus capable of visually identifying a measured level of static electricity is provided.

Abstract: Provided are a substrate inspecting unit capable of reducing image data labeling work time through training image data set verification and semi-automatic image labeling, and at the same time, improving prediction performance by improving classification accuracy for data sets, and a substrate treating apparatus including the same. The substrate inspecting unit comprises a feature extracting module for extracting a feature from training data included in each class in response to a plurality of training data related to image data of a substrate being classified according to a predefined class, a validity evaluating module for evaluating validity of the feature, a class verifying module for verifying the predefined class, and a data reconstructing module for reconstructing the plurality of training data based on a feature determined as valid and a verified class, wherein reconstructed training data is utilized when inspecting the substrate.

Abstract: Provided are a nozzle inspection unit configured to generate a large amount of defect data to improve detection accuracy of a defective nozzle, and a substrate treatment apparatus including the same. The nozzle inspection unit includes: a data collection module configured to collect a plurality of image data related to nozzles; a data classification module configured to classify the plurality of image data according to predefined classes; a data merging module configured to merge good image data related to a normal nozzle and defect image data related to a defective nozzle from among the plurality of image data; a data training module configured to train a plurality of merged image data obtained through the data merging module; and a defect data generation module configured to generate a plurality of final image data from the plurality of merged image data based on the training result.

Abstract: A method for generating an adaptive training image dataset capable of improving prediction accuracy is provided.

Abstract: A static electricity visualization system capable of visually confirming the level of the measured static electricity is provided. The static electricity visualization system comprises a first measuring unit for measuring a static electricity level detected at a first position of a measurement target and comprising a first mark, a photographing unit for generating a photographed image by photographing the measurement target, a processor for recognizing a first mark in the photographed image and calculating coordinates of the first mark on the photographed image, and an output unit for outputting a static electricity visualization image that visualizes the static electricity level measured by the first measuring unit in a first mode, wherein the static electricity visualization image comprises a color corresponding to a level of static electricity measured by the first measuring unit on the coordinates of the first mark of the photographed image.

Abstract: Provided are a control unit that predicts the life of an inkjet head unit and maximizes its life to be used, and a substrate treating apparatus including the same. The control unit performs maintenance of an inkjet head unit for discharging a substrate treatment liquid onto a substrate and comprises a count module for counting the number of discharges for each nozzle of the inkjet head unit, a comparison module for comparing the number of discharges with a reference value to determine whether the number of discharges is equal to or greater than the reference value, and an evaluation module for evaluating whether a life of the inkjet head unit has reached a usable life based on whether the number of discharges of each nozzle is equal to or greater than the reference value.

Abstract: An inspection module is disclosed for inspecting a droplet from an ink jet head. The inspection module includes a sensor located under the ink jet head and measuring a distance between the droplet and the sensor in real time; a variable lens changing an operating distance based on the measured distance of the sensor; and a camera for capturing an image of the droplet. The inspection module further includes a droplet inspecting part inspecting the droplet image captured by the camera.

Abstract: An inspection module is disclosed for inspecting a droplet from an ink jet head. The inspection module includes a sensor located under the ink jet head and measuring a distance between the droplet and the sensor in real time; a variable lens changing an operating distance based on the measured distance of the sensor; and a camera for capturing an image of the droplet. The inspection module further includes a droplet inspecting part inspecting the droplet image captured by the camera.