Sotavision

About Us

Turning Vision AI Research Into Industrial Intelligence

OVERVIEW

About SotaVision

SotaVision is a joint R&D team between SotaTek JSC and the Intelligent Vision Lab – Vietnam National University, bringing together researchers, AI engineers, software engineers, and system integrators to develop industrial-grade computer vision solutions.

We combine Computer Vision, AI & Machine Learning, software engineering, and real-time hardware systems to address real-world challenges in visual inspection and industrial automation.

From research and model development to deployment and system integration, our team focuses on turning advanced vision technology into practical solutions that can operate reliably in real production environments.

About SotaVision

Meet The Team Behind SotaVision

Assoc. Prof. Ph.D Hoang Van Xiem
Assoc. Prof. Ph.D Hoang Van Xiem
Strategic Advisor – Robotics & AI

Guides SotaVision's research direction across robotics, computer vision, and applied machine learning.
Nathan Tran
Nathan Tran
Director, SotaTek APAC · Head of Product

Leads product strategy and delivery, aligning SotaVision solutions with real manufacturing needs.
Jay Bui
Jay Bui
Technical Architect, SotaTek APAC · Technical Director

Owns the technical architecture behind SotaVision's inspection and automation platform.
SCIENTIFIC ADVISOR

Scientific Advisor

Assoc. Prof. Ph.D Hoang Van Xiem
Assoc. Prof. Ph.D Hoang Van Xiem
Strategic Advisor – Robotics & AI

Guides SotaVision's research direction across robotics, computer vision, and applied machine learning.

Prof. Hoang Van Xiem provides scientific direction and research mentorship for SotaVision.

He is a Professor at VNU-UET, Head of the Department of Robotics Engineering, and Executive Advisor at SotaTek.

With more than 100 published papers, his research focuses on areas including intelligent machine vision, applied machine learning, and vision acquisition optimization.

His academic work has received multiple recognitions, including:

•  05 Best Paper Awards: PCS’15, IWAIT’18, REV-ECIT’22, RIVF’23, ATC’24

•  Golden Globe Award in Science Research 2019

•  Fraunhofer Portugal Award 2015

•  REV-Award 2021

His role at SotaVision reflects our approach to combining scientific research with practical engineering and real-world industrial deployment.

Research That Supports Real-World Vision AI

Research & Scientific Publications

Intelligent Machine Vision & AI Vision

Deep Learning-Enhanced Defects Detection for Printed Circuit Boards
Deep Learning-Enhanced Defects Detection for Printed Circuit Boards
ESRPCB: An edge guided super-resolution model and ensemble learning for tiny printed circuit board defect detection
ESRPCB: An edge guided super-resolution model and ensemble learning for tiny printed circuit board defect detection
Multi-View Reflective Surface Inspection via Semantic-Saliency Cross-Verification
Multi-View Reflective Surface Inspection via Semantic-Saliency Cross-Verification

Applied Machine Learning

Machine learning-based malicious vehicle detection for security threats and attacks in vehicle ad-hoc network (VANET) communications
Machine learning-based malicious vehicle detection for security threats and attacks in vehicle ad-hoc network (VANET) communications
Developing an OCR model for extracting information from invoices with Korean language
Developing an OCR model for extracting information from invoices with Korean language
Gaussian Mixture Model and Bayesian Convolutional Neural Network for abnormal musculoskeletal radiographs classification
Gaussian Mixture Model and Bayesian Convolutional Neural Network for abnormal musculoskeletal radiographs classification

Vision Acquisition

Poliface: A Multi-pose Synchronous Imaging System
Poliface: A Multi-pose Synchronous Imaging System
Synchronized Multi-Angle Inspection System
Synchronized Multi-Angle Inspection System
Design and Implementation of an AOI System and Analysis of Lighting Impact on Industrial Products
Design and Implementation of an AOI System and Analysis of Lighting Impact on Industrial Products

Want to work with our team?