~/talk

App4Cam – Running on innovative camera traps in the field

Talkat SFSCON 2025 · 2025-11-07..11-08· [embedded-and-hardware, computer-vision]
links:none on file
slides:none on file

Two camera systems and a full software stack are already working in the field: N Cam (commercialized with a UK partner) takes bottom-facing images of newts to read belly patterns for gender age and species, and an insect unit combines a vane trap with mirrors to produce four perspectives of each insect while allowing a nonlethal escape. The stack runs on a customized verify board or Raspberry Pi plus a witty pie power controller, uses Typescript/NestJS backend and KAR frontend, integrates motion, and is published GPL Nov 2024; next steps are on-device detection, energy-efficient runtimes and sustainable maintenance funding.

AI-written summary · about

  1. 0:00Introduction and speaker
  2. 1:49Camera trap hardware overview
  3. 6:27App4Cam software design
  4. 9:16Technology stack details
  5. 10:01Project funding and open source
  6. 12:29Future challenges and plans
  7. 14:41Q&A and closing
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