I am pretty sure that wildlife camera traps are significantly lagging, technologically.
Am picturing all sorts of Machine Vision and inter-device communication, bringing intelligence to the field…Pi or Fin boards with relatively inexpensive, but TPZ cameras…the network making decisions about which animals or birds are the most “interesting” from a rarity or other perspective…
I have a friend with 200 acres in a wildlife corridor in Costa Rica, the Paseo de la Danta, above Uvita…there have been jaguar sightings, and we found a puma print on the ridge that overlooks the Whale’s Tail…I would really like to help big cat research.
As an Analyst, I understand the basic concepts of thin clients/IoT and Docker. This video seems to pretty well describe one viable hardware setup.
In dialog with Jordan at resin: “…could run image classifying on the Fin, but more-specialized hardware might be able to do it faster or more efficiently, like one of the nVidia boards. Alternatively, the image processing could be done off the device, with the device used for camera management and storage before offloading to something like AWS Rekognition.”
How would I best go about developing an Open Source Model project?