Treebupachatsakul, Treesukon
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Preferred name
Treebupachatsakul, Treesukon
Alternative Name
Treebupachatsakul, T.
Main Affiliation
Email
treesukon.tr@kmitl.ac.th
5 results
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Item type:Publication, An ultra-violet sterilization robot for disinfection(2019-07-01); ; Ultraviolet (UV) sterilization technology is used to aid in reduction of microorganisms that may remain on the surfaces after a standard cleaning to the minimum number. Our research team developed a UV robot or UV bot for sterilization in an operating or a patient room. Our UV bot has three 19.3-watt of UV lamps mounted on top of the UV bot platform covering 360° direction. Our UV bot employed an embedded system based on a Raspberry Pi to aid in navigation to avoid obstacles. In addition, we tested the effectiveness of eliminating Staphylococcus Aureus bacteria sample plates located 35 cm away from our UV bot to be within 8 seconds after UV light exposure. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Bacteria Classification using Image Processing and Deep learning(2019-06-01); An automizing process for bacteria recognition becomes attractive to reduce the analyzing time and increase the accuracy of diagnostic process. This research study possibility to use image classification and deep learning method for classify genera of bacteria. We propose the implementation method of bacteria recognition system using Python programing and the Keras API with TensorFlow Machine Learning framework. The implementation results have confirmed that bacteria images from microscope are able to recognize the genus of bacterium. The experimental results compare the deep learning methodology for accuracy in bacteria recognition standard resolution image use case. Proposed method can be applied the high-resolution datasets till standard resolution datasets for prediction bacteria type. However, this first study is limited to only two genera of bacteria. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Force Sensor for Measuring Plantar Pressure(2019-11-01) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Smart eye-tracking system(2018-05-30); This project is a smart eye tracking system which is designed for people with disabilities and elderly people. The concept of this research is to apply eye movement to control appliances, wheelchair and communicate with caretaker. This system comprises four components, imaging processing module, wheelchair-controlled module, appliances-controlled module and SMS manager module. The image processing module consists of webcam and C++ customized image processing, the eye movement image is captured and transmitted to Raspberry Pi microcontroller for processing with OpenCV to derive the coordinate of eye ball. The coordinate of eye ball is utilized for cursor control on the Raspberry Pi screen to control the system. Besides the eye movement, the eye blink is applied in this system for entering a command as when you press Enter button on keyboard. The wheelchair-controlled module is a cradle with two servos that can be moved to two dimensions and also adaptable to other wheelchair joysticks. This system also remotely controls some appliances and communicate with caretaker via send message to smartphone. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Image Processing for X-ray Calibration Phantom(2019-01-10); Medical device calibration is the process of ensuring that there is accuracy before using. X-ray imaging device is one of the high-risk medical devices that must be calibrated. The calibration process required these values to be measured; center ray, focal object distance (FOD), resolution, and linearity of the imaging system. But the devices used to measure each of these are expensive. In this paper, a design of the x-ray calibration phantom that is affordable and yet effective is presented. An aluminum rectangular phantom consists of a center ray calibration unit, focal object distance (FOD) calibration unit and Linearity calibration unit. The x-ray image of all the phantom unit can be analyzed automatically by using the digital image processing.