AWARD  |  R&D100 award for Deep Learning-based Water Detector

Date released: Dec 6, 2018


  •  AWARD   R&D100 award for Deep Learning-based Water Detector
  • Date:

    November 16, 2018

  • Awarded to:

    Ziming Zhang, Alan Sullivan, Hideaki Maehara, Kenji Taira, Kazuo Sugimoto

  • Description:

    Researchers and developers from MERL, Mitsubishi Electric and Mitsubishi Electric Engineering (MEE) have been recognized with an R&D100 award for the development of a deep learning-based water detector. Automatic detection of water levels in rivers and streams is critical for early warning of flash flooding. Existing systems require a height gauge be placed in the river or stream, something that is costly and sometimes impossible. The new deep learning-based water detector uses only images from a video camera along with 3D measurements of the river valley to determine water levels and warn of potential flooding. The system is robust to lighting and weather conditions working well during the night as well as during fog or rain. Deep learning is a relatively new technique that uses neural networks and AI that are trained from real data to perform human-level recognition tasks. This work is powered by Mitsubishi Electric's Maisart AI technology.

  • MERL Contacts:
  • External Link:

    https://www.rd100conference.com/awards/winners-finalists/year/2018

  • Research Areas:

    Artificial Intelligence, Computer Vision, Machine Learning