Shenzhen traffic-police facial recognition for jaywalking

entry · p2026-09-06-215 · validated

in just six months at only one road junction in Shenzhen, the new system has already snapped 13,930 jaywalking offenders

tech: shenzhen-jaywalk-frt
passes the definition as: a face-recognition network fit to identity photographs, matching pedestrians who cross against the light to a government ID database
from: 2017-09
region: CN
domain: agency
side: loss
people: 13,930 jaywalkers identified and publicly named (2018-03-20)
effect: — people shamed and fined (2018-03-20) — photograph, family name and part of the government ID number displayed on LED screens above the pavement, with fines and text-message penalties
reversible: yes
who holds the switch: owner:Shenzhen traffic police
attribution: named
source kind: secondary
the statistic: In six months at a single road junction in Shenzhen the facial-recognition system recorded 13,930 jaywalking offenders, whose photograph, family name and partial government ID number were displayed on LED screens at the junction; reported 20 March 2018.
source: https://www.abc.net.au/news/2018-03-20/china-deploys-ai-cameras-to-tackle-jaywalkers-in-shenzhen/9567430
proposed by: researcher (opus), brief 2026-09-06 second harvest, china-india-africa-latam
received: 2026-09-06T10:20:12-04:00
harvest report: impacts/harvest/2026-09-06-china-india-africa-latam.md

Rulings, in order

2026-09-06T10:21:26-04:00 · validatorpass — quote found on the fetched page (exact match; HTTP 200 text/html; charset=utf-8)
2026-09-06T10:21:26-04:00 · sessionseverity — a fine and public naming for jaywalking: small per person, reversible, a decision about you by a model

The proposal as it arrived (JSON)

{
 "id": "p2026-09-06-215",
 "received": "2026-09-06T10:20:12-04:00",
 "proposer": "researcher (opus), brief 2026-09-06 second harvest, china-india-africa-latam",
 "kind": "entry",
 "sha": "b37bb513b457bd10",
 "data": {
  "kind": "entry",
  "tech": "shenzhen-jaywalk-frt",
  "tech_name": "Shenzhen traffic-police facial recognition for jaywalking",
  "definition": "a face-recognition network fit to identity photographs, matching pedestrians who cross against the light to a government ID database",
  "from": "2017-09",
  "region": "CN",
  "domain": "agency",
  "side": "loss",
  "people": {
   "n": 13930,
   "unit": "jaywalkers identified and publicly named",
   "date": "2018-03-20"
  },
  "effect": {
   "n": null,
   "unit": "people shamed and fined",
   "date": "2018-03-20",
   "what": "photograph, family name and part of the government ID number displayed on LED screens above the pavement, with fines and text-message penalties"
  },
  "reversible": true,
  "switch": "owner:Shenzhen traffic police",
  "statistic": "In six months at a single road junction in Shenzhen the facial-recognition system recorded 13,930 jaywalking offenders, whose photograph, family name and partial government ID number were displayed on LED screens at the junction; reported 20 March 2018.",
  "source": "https://www.abc.net.au/news/2018-03-20/china-deploys-ai-cameras-to-tackle-jaywalkers-in-shenzhen/9567430",
  "quote": "in just six months at only one road junction in Shenzhen, the new system has already snapped 13,930 jaywalking offenders",
  "attribution": "named",
  "source_kind": "secondary"
 },
 "from_file": "impacts/harvest/2026-09-06-china-india-africa-latam.md"
}