VisionX, Using AI Visual Inspection Technology to Save Billions on Manual Inspection Costs

SINGAPORE / ACCESSWIRE / November 1, 2018 / In early October, Dr. Haisong Gu, co-founder of VisionX (www.visionx.org), presented his latest project to the state-owned enterprise China Coal Technology Engineering Group (CCTEG) in Changzhou and established a strategic collaboration. Within the next three years, the current system of manual inspection at CCTEG could be entirely replaced by cameras and sensors with AI visual inspection technology developed by VisionX.

Dr. Haisong Gu was among the first group of artificial intelligence post-­graduate students incubated by China who were admitted to the Southeast University Computer Vision Research Lab in 1985. In 1993, Dr. Gu obtained his PhD in Computer Vision from Osaka University, a globally renowned institute in the intelligent recognition field. He has also worked as professor and researcher at Southeast University, Osaka University, University of Southern California, PRI and Stanford University; as well as having worked as Senior Researcher at Panasonic and many other esteemed companies in the field of image recognition.

During his 30+ years of involvement in AI application development, Dr. Gu developed the first iteration of an image-­assisted smart training system for China's national diving team in the 90s, using the 'Positioning method' theory, and was awarded first place in the Culture Department's Technology Achievements Award. Utilizing his innovative Computer Vision technology, Dr. Gu generated an automatic scoring system for various applications in gymnastics competition. Dr. Gu also assisted in the construction of the only ‘train ferry' in Chang Jiang which allowed ferry navigation in poor weather conditions and enabled year-round functionality.

In the early 90s, Dr. Gu used machine learning and motion modeling technology to devise an innovative image-­semantic segmentation theory based on MDL. Dr. Gu was invited to publish a paper at the Conference on Computer Vision and Pattern Recognition, regarded worldwide as the most prestigious and acclaimed artificial intelligence conference, for two consecutive years. In Matsushita, the company successfully developed an intelligent robot with three­dimensional object sensing capability, and realized one of the first applications of artificial intelligence, defect sorting and placement, in production lines, and was subsequently awarded the Japan Automation Association Technology Progress Award.

After traveling to the United States in 2000, Dr. Gu developed an operation control system based on gesture recognition at the USC Artificial Intelligence Institute in Nankai. As part of the face recognition startup Eyematic (acquired by Google in 2007, becoming the core of Google's face recognition technology), it successfully commercialized an animation system based on face recognition and tracking. Dr. Gu lead development and was first authour of a research project by Ford which was developed to realize facial expression recognition (CVPR2002) through real-­time tracking of facial feature points and Efman facial motion coding (FACS), and subsequently developed a driver fatigue intelligent detection and control system based on facial expression recognition. As part of the intelligent video surveillance technology startup, Vidient, the technology was used to develop a number of practical algorithms for object and motion recognition analysis based on intelligent video analysis, which was selected by the US aviation department and successfully implemented at the San Francisco International Airport, one of the first applications of such technology in the world. At present, SmartCatch intelligent video monitoring software products have been installed in airports and other transportation hubs around the world.