ACTIVITIES & ACHIEVEMENT
Non-invasive blood glucose monitoring
Integrated finger sleeves for machined-learning-based non-invasive blood glucose monitoring by NIR spectroscopy and sensor techniques
-
Advanced Non-Invasive Blood Glucose Monitoring:
-
Pioneered skills in implementing non-invasive blood glucose monitoring, integrating spectroscopy and sensor technologies.
-
Gained insights into the latest developments in biomedical optics and spectroscopy, contributing to cutting-edge solutions in the field.
-
-
Complex 3D Design and Correlation Analysis:
-
Acquired proficiency in utilizing advanced 3D design tools, specializing in CAD modeling for intricate biomedical hardware.
-
Developed skills in conducting in-depth correlation analyses, applying statistical methods to optimize hardware design for reliability and accuracy.
-
Publication Thesis
Simulate Docking Station For Subsea AUV
Simulate Docking Station For Subsea AUV
-
Real-World Simulation and Algorithm Optimization:
-
Learned to implement and iterate real-world simulations, applying robotics kinematics and dynamics to optimize AUV docking algorithms in ROS2.
-
Developed a deep understanding of the nuances in perception systems, gaining expertise in fine-tuning algorithms for underwater scenarios.
-
-
Underwater Perception Systems:
-
Acquired proficiency in machine vision and underwater perception systems, developing 3D coordinate Fiducial markers.
-
Gained hands-on experience in image processing techniques, enhancing the AUV's adaptability to complex underwater environments.
-
PTTEP Internship
SEAGATE ROBOT MK. II
(SIMULATION AND MIGRATION)
SEAGATE ROBOT MK. II
(SIMULATION AND MIGRATION)
-
Creating a Realistic 3D Simulation Environment:
-
Developing a highly detailed and accurate 3D simulation environment in Gazebo, meticulously modeling physical properties, including friction, inertia, and sensor characteristics.
-
Exploring the intricacies of robotics simulation to emulate real-world scenarios with precision.
-
-
Package Migration Challenges and Solutions:
-
Tackling the complexity of package migration, and adapting existing ROS2 packages to seamlessly function within the simulation environment.
-
Ensuring the compatibility and integration of essential ROS2 packages to enhance the simulated robot's capabilities.
-
Final Thesis
AUV OBSie
OBSie, AUV Concept Design
-
the autonomous underwater vehicle (AUV) for observation as well as improving gas pipes under the sea.Algorithmic advancements in environmentally-based perceptual feedback for real-time mapping, navigation, and control.
-
real-time visual simultaneous localization and mapping (SLAM).
-
cooperative multi-vehicle navigation.
-
perception-driven control.
-
Cyber-Physical Robotics
3D Data Synthetic
3D Synthetic Data for Deep Learning in Auto Accident Detection
-
Challenges in Dataset Availability:
-
Recognizing the crucial role of substantial and varied labeled datasets for the effectiveness of deep learning models.
-
Acknowledging the difficulty and time-consuming nature of obtaining datasets, especially for complex and rare events like vehicle wrecks.
-
-
Utilizing 3D Synthetic Data Generation Techniques:
-
Implementing 3D synthetic data generation techniques to create labeled datasets specifically designed for automobile crash detection.
-
Leveraging computer graphics and rendering technology to simulate various vehicle crash circumstances in virtual worlds.
-
-
Endless Training Data Possibilities:
-
Providing an endless supply of labeled training data with diverse crash configurations, lighting setups, and camera angles.
-
Deep Learning
Robotics Operating System, ROS
Study of ROS2 Framework and TurtleBot3 Manipulation
-
Robotic System Architecture:
-
Exploring the architecture of robotic systems within the ROS2 framework, emphasizing modularity and interoperability.
-
-
ROS2 Nodes and Communication:
-
Investigating the role of nodes in ROS2 and how they communicate to facilitate seamless information exchange within robotic systems.
-
-
Real-world Application of ROS2:
-
Applying the knowledge gained from the study of ROS2 to real-world scenarios, ensuring practical insights into its usage in diverse robotic applications.
-
Intro to Robotics
Smart Mirror
Smart Mirror, Concept Design
COM AID Mech Design
Industrial Automation
Industrial Automation
Industrial Automation
Competitions
There may be no better way to communicate what we do than through images. As you browse our site, take a few moments to let your eyes linger here, and see if you can get a feel for our signature touch.
Amazon Build On, ASEAN 2021
-
Technology for preventing the spreading of covid 19.
-
Using face recognition to detect the routine of all person that entering the shopping mall
Key Responsibility: 3D & Material Design
Freelance,
Projects
The 7th delta cup 2021
-
Technology for international smart and green manufacturing.
-
Future electricity plan, reducing expense by AI calculating
-
The friendly user interface, including desktop and mobile platforms.
Key Responsibility: Operation Team Leader
-
Technology in the topic of
"PROPERTYTECH & URBAN TECH"
Key Responsibility: Operation Team Leader
DEMO day selected,
Startup Thailand League 2021
-
Head of creating the startup business called P_GEEK
-
creating the technology that helps people can predict the use of electricity specifically for B2B ,B2C.
Key Responsibility: Operation Team Leader
YSF_2021,
Youth Startup Fund 2021
University,
Projects
-
Arduino
-
PID
-
ROS
-
Microcontroller
Mobile robot
-
Ultrasonic sensors
-
Microcontroller
Obstacle detection
-
Ni vision
-
Test efficiency
