A new Riverwatcher!

Riverwatcher-C is our latest and most cost-effective model in the successful range of monitoring solutions for wild fish.

This new Riverwatcher-C type or RW-C consists of an underwater High Definition video camera with infrared vision, underwater infrared and white LED lights, a stainless steel camera tunnel, and high performance computer operating our AI software to count and monitor the fish. 

Although cameras have been used in Riverwatcher solutions for a long time in combination of other technologies such as IR scanning, this is the first time that the camera is the sole source of data.   What makes this possible now is that the technology continues to improve.  Modern cameras are more reliable and perform better than ever before. 

So with our sophisticated Riverwatcher software and proven hardware such as the photo tunnel, high tech camera and high performance PC, the Riverwatcher-C is the most experienced new video counter on the market.


Features:

Maximum performance, any time of day.

 riverwatcher-c-features

The Photo tunnel ensures optimal image and video quality. For images unaffected by sunlight or time of day, the photo tunnel is recommended. The standard tunnel is 160 x 105 x 63cm (L x W x H) and is fitted with the underwater digital camera and lights. Standard opening is 40cm.

The tunnel ensures that the images are captured under controlled and constant lighting conditions, as well as the optimum position and distance of the fish to the camera.

Lights can also be time controlled to e.g. switch to IR light during nighttime. 

Real-time Video Stream. Live video from the camera can be viewed in real time on the RW-C computer screen. Any device connected to the internet can also display a live stream or a looping recording of the last fish seen.

See this video captured from a Riverwatcher installed at the weir on the lower Tuolumne River.  Striped Bass Weir Passage.

See this video also captured from a Riverwather of Chinook in the Stanislaus River.

 

Objects identified and measured automatically.  AI and machine learning is making automatic fish identification more accurate than ever before.  Size, direction, type of fish and condition e.g. sea lice on Salmon can be detected automatically. The sensitivity is adjustable to minimize false positives and filtering of unwanted objects such as bubbles debris.  

 

riverwatcher-c-fish 

Remote location. The RW-C can be used in remote locations with no mains power. The digital camera is connected to a 12V computer supplied by solar or battery power.

Successful software.  The Riverwatcher Daily is an addition to the Riverwatcher product line. It makes it easier to access statistics and videos of all fish in the river. Users can view real-time information from anywhere and see what is going on in the river at any time.  Counts and charts available without having to download data and start a specific software. Reports are available for any chosen period of time. All data securely stored and accessible on your private web account. Alerts can be sent to any registered users.

Built to last. The RW-C type is built like a tank and is proven in harsh conditions around the world.  It is an excellent long-term monitoring solution to count and identify fish.

Additional data.  The RW-C can be delivered with a range of probes for environmental data e.g. temperature, oxygen levels, PH levels, flow, conductivity. All data is sent to our data cloud where it´s accessible for comparison with fish migration patterns.

 

Limitations:  Underwater videography requires somewhat clear water and light.  These challenges can be mitigated for with custom lighting and contrasting backdrops.  Automated software handles processing most detection, but some review is required.  For use in murky or turbid rivers, consider using our Riverwatcher-S type with an Infrared Scanner or our Riverwatcher-SC type for combined technologies and best results.

 

Want to know more? ASK US!  Contact Magnus Thor Asgeirsson magnus.asgeirsson@pentair.com for more information. 

 

 

 

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