This forum uses cookies
This forum makes use of cookies to store your login information if you are registered, and your last visit if you are not. Cookies are small text documents stored on your computer; the cookies set by this forum can only be used on this website and pose no security risk. Cookies on this forum also track the specific topics you have read and when you last read them. Please confirm whether you accept or reject these cookies being set.

A cookie will be stored in your browser regardless of choice to prevent you being asked this question again. You will be able to change your cookie settings at any time using the link in the footer.

Thread Rating:
  • 0 Vote(s) - 0 Average
  • 1
  • 2
  • 3
  • 4
  • 5
Use camera to avoid crab traps
Yeah, I know, but wouldn't it be great...
I think this is a separate program. It could connect to the autopilot and issue commands to dodge things it sees.

This would be at the limits of processing power of a raspberry pi, if it can even work reliably.

For me, I no longer need to dodge crab pots because of the autopilot. With the wind vane I did, because it can hook on the pendulum oar.
After racing shorthanded in the Labrador Current in the fog, I spent a while contemplating icebergs. They don't show up on radar. Apparently they're more easily seen in IR than visible light, and especially in the fog. Same might possibly be true of buoys---as well as other boats---since they probably won't be quite at sea temperature. And if fog truly scatters IR less than visible, this could be fun! (Yes, I know that putting an IR camera onboard isn't the same as hooking your autopilot to it, but work with me for a moment... Wink

Training a deep network to distinguish obstacle type would take a lot of CPU, but just running it forward at a low frame rate (1 Hz should be ample) shouldn't require a huge computer, especially considering that a very powerful network is likely unnecessary: the cost of misidentifying a kayak as a crab pot buoy should be low, since we probably take similar actions in each case. I wonder if an RPi might be enough for a first pass...
It's for sure a pi is capable of this at least at a basic level.

As you said, the is much more processing power needed to actually train it.
An nvidia Jetson nano might do well at this:

an esp32 cam is 10X cheaper than a Jetson and has the cam already

[Image: ESP32-CAM-getting-started.jpg?w=813&ssl=1]
Does it have the processing power for image recognition?
Let’s see some working software first, then worry about the exact hardware requirements and price points...

Sent from my iPhone using Tapatalk
(2019-07-31, 02:20 PM)seandepagnier Wrote: Does it have the processing power  for image recognition?
This article is very interesting on Deep Learning Waterline Detection for Low-cost Autonomous Boats

Forum Jump:

Users browsing this thread: 1 Guest(s)