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All defects found can be tracked,which facilitates analysis and improve the quality
The missing rate is tends to zero and the quality control is perfect
Traditional algorithm and AI algorithm are combined to create a new generation of defect inspection algorith
BOHR as a technology company named after the famous Danish physicist Niels Bohr, in tribute to science,we hopes to follow BOHR’s lead in professional fields, young but creative and robust to drive the industry and change the world with technology .
Tenure-track research professor and supervisor in artificial intelligence at a top-ranked universitiy, PhD degree at Shanghai Jiao Tong University (ranked #47 in QS University Rankings 2021) and the Hong Kong Polytechnic University, visiting scholar at the University of California and leading talents in Universities, CCF committee member. Research interests include small object detection and AIoT, and published over 30 papers in major international journals and conference such as AAAI, UbiComp, IEEE TITS and TSC
leading expert in the fields of robot software control and AI vision algorithms, bachelor degree in computer science at PLA Military Institute of Engineering, postgraduate degree in software science at the University of Helsinki in Finland, doctor and postdoctor of University of Tampere Worked at Nokia for 14 years as director of SYMBIAN systems devel
Operation expert, worked 21 years for Motorola, Flex, Jabil, Bosch, ABB, ATL in electronic product design, development, manufacturing and company operation area