Company Filing History:
Years Active: 2025
Title: Ken Soh - Innovator in Crack Detection and Visualization
Introduction
Ken Soh is a prominent inventor based in Singapore, known for his innovative contributions to infrastructure assessment technologies. His work focuses on utilizing advanced deep learning techniques to enhance the detection and visualization of surface cracks in various structures. With a keen interest in applying technology to real-world problems, Ken has made significant strides in the field of infrastructure maintenance.
Latest Patents
Ken Soh holds a patent for "Crack detection, assessment and visualization using deep learning with 3D mesh model." This patent outlines techniques that leverage deep learning in conjunction with a 3D mesh model to detect, assess, and visualize cracks in infrastructure. The process involves applying deep learning algorithms to a series of 2D images to identify and segment surface cracks. Notably, methods such as the Faster region-based convolutional neural network (Faster-RCNN) and the Mask region-based convolutional neural network (Mask-RCNN) are employed to enhance the accuracy of crack detection. Additionally, photogrammetry is utilized to create a textured 3D mesh model from the 2D images, allowing for a comprehensive visualization of the identified cracks.
Career Highlights
Ken Soh is currently associated with Bentley Systems, Inc., a company renowned for its software solutions in infrastructure engineering. His role at Bentley Systems allows him to apply his innovative ideas and contribute to the development of cutting-edge technologies that improve infrastructure inspection and maintenance.
Collaborations
Throughout his career, Ken has collaborated with talented professionals, including Zheng Yi Wu and Rony Kalfarisi. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of innovative solutions in the field of infrastructure assessment.
Conclusion
Ken Soh's work exemplifies the intersection of technology and infrastructure maintenance. His innovative patent on crack detection and visualization showcases the potential of deep learning in enhancing the safety and longevity of structures. Through his contributions, Ken continues to pave the way for advancements in infrastructure technology.