Hydro-STIV is software that measures flow velocity and flow rate using video and water level information.We have achieved high-precision measurement by integrating the latest STIV technology by Professor Emeritus Ichiro Fujita of Kobe University with our AI technology.It is possible to safely and easily measure the flow velocity and flow rate without approaching the river in the event of a danger such as a flood.
<References>
Fujita I. 2017. Discharge Measurements of Snowmelt Flood by Space-Time Image Velocimetry during the Night Using Far-Infrared Camera. Water 2017; 9(4); 269.
Fujita I, Watanabe K, Iguchi M, Hasegawa M. 2020. IMPROVEMENT OF STIV TECHNIQUE BY USING DEEP LEARNING,Annual journal of Hydraulic Engineering. JSCE; Vol.76; No.2.
① Set up control points on both sides of the river
② Survey the control points coordinates
③ Aquire water level information
④ Shoot video
Utilizing wizard-formated guidance, you can easily measure with intuitive operation.
The measurement results can be output to HTML reports and used for reports and calculations.
Left figures: Generation of Space-Time Image (STI) from video images
The yellow lines show search lines, and the red squares show features of brightness
values (surface ripples etc.). STI is generated by arranging the brightness values on the
search line in the time direction, and the stripe pattern indicates velocity.
Right figures: Calculation of Velocity (V) from STI
Velocity is calculated using slope of the stripe pattern (φ), length, and time of STI.
When φ is small, velocity is slow (left-bottom), and vice versa (right-bottom).
Left figure: STIV measurement using an areal photograph
Right figure: Acoustic Doppler Current Profiler (ADCP) measurement
STIV measurement well reproduces ADCP measurement of the flow distribution.
*This figure was created by using other drawing software to evaluate the accuracy.
AI (deep learning) based image analysis realises more robust measurement than the conventional one. For example, noisy video images with obstacle, light, random noise, and waves, or night images can also be measured with high accuracy without manual parameter tuning.
Othea River @ New Zealand |
Rangitata River @ New Zealand |
Tekapo River @ New Zealand |
Herbert River @ Australia |
@Melbourne, Victoria, Australia |
Russel River @ Australia |
North River @ Canada |
(municipality, research institute, educational institution, corporation)
Australia, Canada, China, Finland, Korea, New Zealand, U.K., Vietnam
System requirements | OS | Windows10(64-bit), Windows11 |
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CPU | Intel core i5 third generation or higher |
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Memory | 4 GB or more | |
Resolution | 1920 x 1080 (Display) | |
Video requirements | Format | avi, mp4, mov, wmv, m2ts |
Scanning | Progressive | |
Length | 15 to 30 seconds (Recommended) |
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Frame rate | 24 fps or more (Recommended) |
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Resolution | 720p, 1080p or more (Recommended) |
[Hydro-STIV] SOFTWARE LICENCE CONTRACT(PDF)
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【References】 (*1) From joint research between International Centre for Water Hazard and Risk Management (ICHARM) and Ichiro Fujita Laboratory, Kobe University. (*2) Ichiro Fujita, Yuichi Notoya, Mitsuru Shimono: DEVELOPMENT OF AERIAL STIV APPLIED TO VIDEOTATED MOVIE FROM MULTICOPTER BASED ON HIGH-ACCURATE IMAGE STABILIZATION METHOD, JSCE Proceedings B1 (Hydraulic Engineering), Vol.71, No.4, I_829-I_834, 2015. (*3) Ichiro Fujita, Tatsushi Shibano, Kojiro Tani: IMPROVEMENT OF STIV FOR VIDEO IMAGES CAPTURED UNDER DETERIORATED MEASUREMENT CONDITIONS, JSCE Proceedings B1 (Hydraulic Engineering), Vol. 74, No.5, I_619 -I_624, 2018. (*4) From the Field Observation Workshop sponsored by the Japan Society of Civil Engineers Hydraulic Engineering Committee and the Subcommittee on Advanced Flow Observation Technology. (*5) Fujita I., Notoya Y. and Furuta T.:Measurement of inundating flow from a broken embankment by using video images shoot from a media helicopter,River Flow 2018. (*6) Created by processing data from HP of the Geospatial Information Authority of Japan(https://www.gsi.go.jp/BOUSAI/H29hukuoka_ooita-heavyrain.html)