Backend
FishSense Lite: A Camera-Based, Single Laser Hardware Framework with Software System for In Situ Fish Length Measurement
arXiv cs.SY0 views
arXiv:2611.08732v1 Announce Type: cross Abstract: Fish stock assessments need fish lengths paired with species from far more places than trained surveyors can reach. Recreational divers already visit many of those places, but measuring a fish underwater has required trained observers or specialist equipment. We present FishSense Lite, which recovers fish length from a single photograph taken with a recreational dive camera, a dive laser pointer, and a 3D-printed mount. The diver aims the laser at a fish and takes a picture; afterward, the dot's position in the image gives the range to the fish, and the range turns the fish's size in the image into a length. A citizen-science program, trained by the system's builders, taught its own divers and collected lengths paired with species for 73 wild fish across seven open-water dives. On seven wild fish also measured by an underwater stereo-imaging system, the two instruments agreed without detectable bias (mean difference +0.8%). On rigid targets of known length, FishSense Lite recovered every target to within 1.3%, and 99% of 1,055 frames fell within a 15% error budget. From the error sources we measure, we derive a field protocol: calibrate against a dive slate on every dive, photograph fish within 15 degrees of perpendicular and beyond 1 m, and take at least ten frames of each.
Source:https://arxiv.org/abs/2611.08732PreviousVector Lyapunov functions for nonconvex constrained optimizationNextSensing-Based Communication: A Non-Orthogonal Passive Reflection Framework for ISAC
Related posts

Dans osFoundry, chaque agent IA a un département et un rôle, et vous n'avez plus qu'à vérifier et approuver
0dev.to AI

What Cursor Live Apps Handles and Where a Local Setup Still Wins
0dev.to AI

I Ran a Real Internal Tool Through Cursor Live Apps. Here Is the Part That Actually Helped
0dev.to AI

An agent that stops paying for data it already learned was useless
0dev.to AI
Karaoke for songs nobody has sung before: what broke, and what we learned
0dev.to AI
I priced transactional email at 10k, 50k and 200k a month. The recommended plan is often the wrong one
0dev.to AWS