Hydro-STIV
Hydro-STIV is a system that measures flow
velocity and discharge using video and water level information.
We have achieved highly accurate measurement by combining the latest STIV technology by Professor
Emeritus Ichiro Fujita of Kobe University with our AI technology.
River flow can be measured safely and easily without approaching to the river during flood while
maintaining high accuracy.
This technology, which enables safe flow observation even during large-scale floods that exceed the
planned high water level, was awarded the Innovative Technique Award, one of the JSCE's 2023 JSCE Awards
for its innovative and extremely useful technology.
Hydro-STIV is a system that measures flow velocity and discharge using video and water level
information.
We have achieved highly accurate measurement by combining the latest STIV technology by
Professor Emeritus Ichiro Fujita of Kobe University with our AI technology.
River flow can be measured safely and easily without approaching to the river during flood while
maintaining high accuracy.
This technology, which enables safe flow observation even during large-scale floods that exceed
the planned high water level, was awarded the Innovative Technique Award, one of the JSCE's 2023
JSCE Awards for its innovative and extremely useful technology.
Registration number: KK-220021-A
Technical name: Flow velocity and flow rate measurement system [Hydro-STIV]
https://www.netis.mlit.go.jp/netis/pubsearch/details?regNo=KK-220021%20
The yellow lines shows search lines, and the red squares show features of brightness value(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.
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).
AI (deep learning) enables more stable measurement than conventional methods, and fully automatic analysis and highly accurate measurement is possible even when obstacles appear in the image, when there is a flood with muddy water or heavy rain, when there is reflected light at night, or when an infrared camera is used.
Images taken from the sky by a drone or other devices can be used to measure the flow velocity and discharge. Wide rivers, mountainous areas, or rivers during flood can be easily measured by drone footage. Another advantage of vertical shooting is that no geometric correction is required since the actual scale can be detected by the distance between only 2 points in the image.
Example of video taken at 9:30 p.m.
Normal camera
Ultra-high-sensitivity camera
By using an ultra-high-sensitivity camera that can take clear images even at night, Hydro-STIV can measure flow velocity and discharge 24 hours a day, even in environments with limited light sources.
The water level is measured by detecting the water's edge on vertical structures such as water
markers, bridge piers, and concrete walls in the image.
By using a staff gauge or surveying a vertical structure in the image, the water level can be
measured on Hydro-STIV software.
Othea River @New Zealand
Rangitata River @New Zealand
Tekapo River @New Zealand
Herbert River @Australia
@Melbourne, Victoria, Australia
Russel River @Australia
North River @Canada
Ciujung River @Indonesia
Hydro-STIV also contributes to the DX of flow observation operations. Digitalizing the observation operation with Hydro-STIV makes the process safe and automated. New value can be delivered to the society.
Title of Published Paper | Name of Journal | Our Engineers | Coauthor |
---|---|---|---|
Development of Flow Velocity Measurement Device by Image Analysis Using Accelerometers of Smart Devices | Advances in River Engineerig, Vol.29, pp.73-78, 2023. (Japanese) | Yoshitada Minami, Ichiro Fujita, Shota Yamauchi, Ken Watanabe, Makiko Iguchi |
|
Validation of Automatic Parameter Estimation Method of Maximum Entropy Method Using STIV Measurement Values | Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering), Vol2,I_1183- I_1188 , 2022. (Japanese) | Ken Watanabe, Yoshitada Minami, Ichiro Fujita, Makiko Iguchi |
Yoshiro Omori |
Measurement of debris flow velocity in flume using normal image by space-time image velocimetry incorporated with machine learning | Measurement, Vol 199, pp.1-15, 2022 | Ichiro Fujita, Makoto Hasegawa |
Yeon-joong Kim |
Robust and accurate river flow measurement by Space-time image velocimetry (STIV) with improved deep learning technique | River Flow 2022 | Ken Watanabe, Yoshitada Minami, Ichiro Fujita, Makiko Iguchi |
|
Discharge Measurement Using Maximum Entropy Method Coupled with STIV | Advances in River Engineerig, Vol.28, pp.1-6, 2022. (Japanese) | Ichiro Fujita, Ken Watanabe, Makiko Iguchi |
Yoshiro Omori |
Application of an Entropic Method Coupled with STIV for Discharge Measurement in Actual Rivers | IOP Conf. Series: Earth and Environmental Science 945 (2021) 012036. | Ichiro Fujita, Ken Watanabe |
Yoshiro Omori |
Improving Accuracy and Robustness of Space-Time Image Velocimetry (STIV) with Deep Learning | Water 2021, 13, 2079. | Ken Watanabe, Ichiro Fujita, Makiko Iguchi, Makoto Hasegawa |
|
Uncertainty Evaluation of STIV River Flow Measurement | Advances in River Engineerig, Vol.27, pp.7-12, 2021. (Japanese) | Ken Watanabe, Ichiro Fujita, Makiko Iguchi, Makoto Hasegawa |
Yoshiro Omori |
Improvement of STIV Technique by Using Deep Learning | Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering), Vol.27, pp.7-12, 2021. (Japanese) | Ichiro Fujita, Ken Watanabe, Makiko Iguchi,br /> Makoto Hasegawa |
|
Discharge Measurements of Snowmelt Flood by Space-Time Image Velocimetry during the Night Using Far-Infrared Camera | Water, 2017; 9(4):269 | Fujita I. |
Name of Journal | Advances in River Engineerig, Vol.29, pp.73-78, 2023. (Japanese) |
---|---|
Our Engineers | Yoshitada Minami, Ichiro Fujita, Shota Yamauchi, Ken Watanabe, Makiko Iguchi |
Name of Journal | Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering), Vol2,I_1183- I_1188 , 2022. (Japanese) |
---|---|
Our Engineers | Ken Watanabe, Yoshitada Minami, Ichiro Fujita, Makiko Iguchi |
Coauthor | Yoshiro Omori |
Name of Journal | Measurement, Vol 199, pp.1-15, 2022 |
---|---|
Our Engineers | Ichiro Fujita, Makoto Hasegawa |
Coauthor | Yeon-joong Kim |
Name of Journal | River Flow 2022 |
---|---|
Our Engineers | Ken Watanabe, Yoshitada Minami, Ichiro Fujita, Makiko Iguchi |
Name of Journal | Advances in River Engineerig, Vol.28, pp.1-6, 2022. (Japanese) |
---|---|
Our Engineers | Ichiro Fujita, Ken Watanabe, Makiko Iguchi |
Coauthor | Yoshiro Omori |
Name of Journal | IOP Conf. Series: Earth and Environmental Science 945 (2021) 012036. |
---|---|
Our Engineers | Ichiro Fujita, Ken Watanabe |
Coauthor | Yoshiro Omori |
Name of Journal | Water 2021, 13, 2079. |
---|---|
Our Engineers | Ken Watanabe, Ichiro Fujita, Makiko Iguchi, Makoto Hasegawa |
Name of Journal | Advances in River Engineerig, Vol.27, pp.7-12, 2021. (Japanese) |
---|---|
Our Engineers | Ken Watanabe, Ichiro Fujita, Makiko Iguchi, Makoto Hasegawa |
Coauthor | Yoshiro Omori |
Name of Journal | Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering), Vol.27, pp.7-12, 2021. (Japanese) |
---|---|
Our Engineers | Ichiro Fujita, Ken Watanabe, Makiko Iguchi, Makoto Hasegawa |
Name of Journal | Water, 2017; 9(4):269 |
---|---|
Our Engineers | Fujita I. |
Overseas
(Local Government, Research Institute, Academic Institute, Corporation) Australia, Canada, Chile, Finland, France, Iceland, Indonesia, Ireland, New Zealand, South Korea, Sweden, Taiwan, UK, USA, Vietnam
【References】
(*1) 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.
(*2) Created by processing data from HP of the Geospatial Information Authority of
Japan(https://www.gsi.go.jp/BOUSAI/H29hukuoka_ooita-heavyrain.html)