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Who is allowed to watch?

The cameras are much the same everywhere. What separates these seven networks is who is allowed to check what they do — a ladder from a private network nobody audits to a city that banned the technology before anyone had to sue.

7 stops · 7 cities · 7 countries · 2009–2019 · 5 graded independent or peer-reviewed · 2 failed or scaled back

This route climbs an accountability ladder. Every stop runs recognisably similar hardware — poles, plate readers, face matching — and each answers a different version of the same question: when a camera network makes a claim about itself, who can check it? The order runs from no audit at all, to self-measurement, to one genuinely measured effect, to courts — and ends with a city that regulated before switching anything on.

Read in order: every stop goes a step further than the last.

✔ Every published entry is checked against the public sources it cites before publication.

  1. 1 📡 Vumacam: Johannesburg's Privately Owned Camera and Plate-Reading Network 🇿🇦 Johannesburg · 2019 · Official The bottom of the ladder: a private company chose the streets, set the price and wrote the access rules — and the entry's own lesson is that nobody can audit it.
  2. 2 📡 Safe City Tashkent — Surveillance & Traffic Command Center 🇺🇿 Tashkent · 2017 · Independent Publicly run and declared from the top: the structure is independently documented, the results are the state's own account of itself.
  3. 3 📡 C5 Camera, Panic-Button and Seismic-Alert Network 🇲🇽 Mexico City · 2009 · Peer-reviewed Self-measurement at maximum scale: the network sees most of the city's crime and still rarely feeds a case file — and the peer-reviewed findings split.
  4. 4 🏛️ SIES-M Integrated Emergency & Security Camera Network 🇨🇴 Medellín · 2011 · Peer-reviewed The rare real measurement: a quasi-experimental, peer-reviewed study isolates the cameras' own effect — and is deliberately not stretched to explain the city's much larger fall in homicides.
  5. 5 🏛️ Las Condes: Municipal Cameras, Drone Patrols and Facial Recognition 🇨🇱 Santiago · 2017 · Independent A court looks and lets it stand: the Supreme Court rejected the challenge to a district's surveillance drones, and no statute has followed — a single district's budget decides what flies.
  6. 6 🏛️ Buenos Aires's Fugitive Facial Recognition System, stopped by the courts 🇦🇷 Buenos Aires · 2019 · Failed · Independent A court looks and stops it: suspended on the city's own security law — and on an oversight commission that was never seated.
  7. 7 🏛️ Surveillance Technology Ordinance & Facial Recognition Ban 🇺🇸 San Francisco · 2019 · Scaled back · Official The top of the ladder: the city bans facial recognition for its own departments and puts every surveillance tool in a published register — then has to enforce its own law on itself.

What this route shows

The hardware never decided anything on this route. Johannesburg and San Francisco buy cameras from the same industry; what differs is that one network's claims cannot be checked by anyone, and the other sits in a published register behind an approval process. In between, the pattern repeats: self-reported results where nobody asks, real evidence where someone independent measured, and courts that can stop a system — or wave it through — depending on which law a city wrote for itself before the cameras went up.

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