# Field Viewers

- **Event:** [National Security Hackathon (by Army xTech)](https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon)
- **When:** May 2 at 9:00 AM – May 3 at 4:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Sachin Junnarkar](https://cerebralvalley.ai/u/FieldViewers)
- **GitHub:** https://github.com/fieldviewer/XTechFieldViewersPublicDemo
- **Demo video:** https://youtu.be/cfRiehgtISg?si=CRC7BudoiC4mrYPN
- **Gallery:** https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon/hackathon/gallery/4

We built a Field Viewers–branded web dashboard plus a Raspberry Pi HTTP gateway that turns low-cost FV-13 Scout WiFi drones into a carry-and-fly recon swarm: operators stage with a laptop or MacBook, a Pi, and drones that fit a backpack-scale kit—no cloud data center required for the demo workflows we show.

The dashboard unifies mission planning on a satellite-style map, swarm formations and spacing, waypoint routing with return-to-home, live and simulated downlink video, and scenario-driven rehearsal for container inspection, plant perimeter, and medical isotope leak–style missions. A radiation-style dose field is visualized on the ground from per-drone bottom-sensor cones so teams see where signal is hot, not only where aircraft icons sit. A second workflow demonstrates in-browser facial recognition on live gimbal MJPEG from the Pi gateway: an enrolled reference photo is compared to the stream with an on-screen match verdict, useful for identity checks without uploading video to a third party.

The project is open-source and public-safe: no credentials, captures, or APKs in the repository; local configuration uses gitignored env files. Tech stack includes a Vite React operator UI, optional mission API, Node gateway on the Pi mirroring XR872-style paths, and documented runbooks for Mac lab, Pi sync, and demo recording.

---

Markdown version of https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon/hackathon/gallery/4. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt