Oxipital AI
Junhua Tang is a seasoned software engineer with extensive experience in automated driving technologies, perception systems, and biomedical engineering. Currently employed at Oxipital AI since March 2021, Junhua specializes in RGBD and point cloud perception for automated bin and conveyor picking, along with developing synthetic data pipelines for machine learning applications. Prior roles include product ownership and algorithm engineering at Aptiv, focusing on map and localization software for L2+ automated driving, and leading advanced feature development at General Motors, particularly in active safety and deep learning object detection. Junhua has also contributed as a mentor at Udacity and held research and teaching positions during academic studies, earning Ph.D. and M.S. degrees in Biomedical Engineering from The Ohio State University and a B.S. from Zhejiang University.
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Oxipital AI
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Oxipital AI is a leader in AI-enabled machine vision technologies for robotic process automation and product inspection in critical industries such as food processing, agriculture, and consumer goods production. The company’s mission is to deliver actionable insights through deep object understanding, to customers, as they embrace Industry 5.0 and to unlock previously unachievable levels of resiliency, efficiency, and sustainability in their manufacturing operations.