Briefing
initializing...
Captured IDs
COGCORP MAINFRAME // CENTRAL SURVEILLANCE CONTROL
> type CANCEL to end surveillance process
⚠ SUBJECT ACQUIRED // PROCESSING
0.50

## // REFERENCES

Sources cited in the INTEL briefing, plus background on adversarial patches

- Face recognition & retail / doorbell surveillance
- Rite Aid banned from using facial recognition — FTC Store cameras falsely flagged shoppers as shoplifters; 5-year ban ftc.gov — press release, Dec 2023
- Amazon reopens police footage requests on Ring — CNBC Ring's private camera network re-opened to law-enforcement requests, 2025 cnbc.com — Oct 2025
- Clearview AI Scraped 60B+ photos off the internet; used by ICE & CBP en.wikipedia.org/wiki/Clearview_AI
- Flock Safety — plate readers & abuse
- Flock Safety crosses 100,000 cameras — TechTimes 100,000+ plate-reader cameras for 5,000+ police agencies techtimes.com — Jun 2026
- Flock cameras scan billions a month — NBC News ~20 billion vehicle scans monthly — a searchable history of where you drive nbcnews.com
- Flock allegedly used to track a Texas woman after an abortion Officer searched 83,345 cameras nationwide — Business & Human Rights Resource Centre business-humanrights.org
- Feds accessed SF license-plate data hundreds of times — KQED SF police audit of federal access to local plate-reader data kqed.org
- Congress demands accountability from Flock — U.S. House Ranking members Krishnamoorthi & Garcia open an investigation krishnamoorthi.house.gov
- Policy targeting activists
- NSPM-7 — Countering Domestic Terrorism — White House Sept 2025 memo aiming federal terrorism task forces at activists whitehouse.gov — presidential actions
- How NSPM-7 targets nonprofits & activists — ACLU Analysis of the beliefs named as "indicators" of domestic terrorism aclu.org
- Map it, ban it, back the fighters
- DeFlock — map the plate readers near you deflock.me
- Atlas of Surveillance — EFF Searchable database of police surveillance tech by location atlasofsurveillance.org
- 30+ cities dropped Flock — NPR Austin, Evanston, San Marcos and others canceled contracts npr.org — Feb 2026
- The movement to ban government face recognition — EFF SF, Boston & Portland banned government use eff.org/deeplinks
- Electronic Frontier Foundation (EFF) eff.org
- American Civil Liberties Union (ACLU) aclu.org
- Flockout — Fight for the Future Campaign to get communities to drop Flock fightforthefuture.org
- Adversarial patches & camouflage
- CV Dazzle — Adam Harvey Anti-face-detection camouflage through makeup & styling https://adam.harvey.studio/cvdazzle/
- Fooling Automated Surveillance Cameras Thys et al. 2019 — adversarial patch defeating a YOLO person detector https://www.youtube.com/watch?v=MIbFvK2S9g8

// DEBUG CONTROLS

The console kill-switch game: when it can't detect anyone, the MAINFRAME unlocks — become illegible, then type CANCEL. (When off, press G to toggle the glitch effect.)

Face detection Spotlight — obscure everything but people
filter color
filter opacity

Invisiblize kooks

Edits only badge-wearers (kooks) out of the feed using a still of the empty scene — cogs stay visible. Clear the frame, capture, then enable.

Badge detection (ArUco scan) Badge detection UI Hand sign detection UI

Draw the pink outline / circle + “LMR ANOMALY” on detected ArUco badges / hand signs. Detection still works with these off — the UI is just hidden.

Kookify badge-wearers

Badge-holders glitch out — jittery box, rainbow gibberish name, errors — then the tracker loses them. A detected ArUco badge triggers it; or click a person to tag one manually.

Glitch kooks (persistent, no border)

Badge-holders' boxes keep glitching (no disappearing, no box outline, not shown clear in spotlight).

Instant anomaly

On: a badge/sign turns the cog into a kook immediately. Off: the nametag glitch-ramps for a few seconds first.

ID snapshots

Every new face captured is added as a headshot + name to a "Captured IDs" gallery in the right column.

hand-sign sensitivity

person confidence 0.50
detect interval 0ms

Lower confidence to catch more bodies — 0.9 is very strict, try ~0.5. Detect interval throttles how often the models run (0 = every frame); raise it on slow devices to keep the video smooth — boxes persist between runs. The -style readout at top shows actual detection fps.