Bryan Bryson Assistant Professor of Biological Engineering
Pattie Maes Germeshausen Professor of Media Arts and Sciences and the Director of the Fluid Interfaces research group at the MIT Media Lab
The remarkable progression of innovations that imbue machines with human and superhuman capabilities is generating significant uncertainty and deep anxiety about the future of work. Whether and how our current period of technological disruption differs from prior industrial epochs is a source of vigorous debate. But there is no question that we face an urgent sense of collective concern about how to harness these technological innovations for social benefit. To meet this challenge, the Institute launched the MIT Task Force on the Work of the Future in spring 2018.
John Williams Professor, Civil and Environmental Engineering
Zen Chu
Video can be used as the input data for the real-time monitoring of machines, products, or processes to which sensors cannot be affixed. Industrial and scientific monitoring applications, compared to other video sources, such as those from surveillance, broadcast, mobile robotics, social media, or entertainment, can often be engineered and structured. Yet, applications of video-based instrumentation in industrial, manufacturing, and scientific experimentation environments are not extensively addressed by the computer vision community.
We discuss the needs, challenges, and recent success in deploying real-time, data-science enabled techniques to efficiently reduce the complexity and dimensionality of raw video data to extract actionable information for real-time feedback and process control, defect detection, and wear and degradation related for factories and the factory subsystem.
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