Brazilian state police facial recognition (Bahia, Rio de Janeiro, Santa Catarina, Paraíba, Ceará)

entry · p2026-09-06-225 · validated

De março a outubro, foram 151 pessoas presas por meio dessa tecnologia nos cinco estados.

tech: brazil-police-frt
passes the definition as: face-recognition networks matching live camera images against wanted-persons databases
from: 2019-03
region: other:Brazil
domain: agency
side: loss
people: 151 people arrested after being flagged by facial recognition cameras (2019-10)
effect: 90.5 percent (2019-10) — 90.5% of those arrested after being flagged by the cameras were Black; two wrongful arrests documented in Rio de Janeiro, one of a woman flagged as wanted whose actual suspect had been in prison four years
reversible: no
who holds the switch: owner:the five state security secretariats
attribution: named
source kind: secondary
the statistic: The Rede de Observatórios da Segurança counted 151 people arrested by facial recognition across five Brazilian states from March to October 2019; of those whose race was recorded, 90.5% were Black. Bahia accounted for 51.7% of arrests, Rio de Janeiro 37.1%, Santa Catarina 7.3%, Paraíba 3.3% and Ceará 0.7%.
source: https://cesecseguranca.com.br/artigo/levantamento-revela-que-905-dos-presos-por-monitoramento-facial-no-brasil-sao-negros/
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 — arrested on an open warrant after a camera match, with recourse; the two documented wrongful arrests are inside the 151 but not counted separately by the source

The proposal as it arrived (JSON)

{
 "id": "p2026-09-06-225",
 "received": "2026-09-06T10:20:12-04:00",
 "proposer": "researcher (opus), brief 2026-09-06 second harvest, china-india-africa-latam",
 "kind": "entry",
 "sha": "0fac5c919e25b51b",
 "data": {
  "kind": "entry",
  "tech": "brazil-police-frt",
  "tech_name": "Brazilian state police facial recognition (Bahia, Rio de Janeiro, Santa Catarina, Paraíba, Ceará)",
  "definition": "face-recognition networks matching live camera images against wanted-persons databases",
  "from": "2019-03",
  "region": "other:Brazil",
  "domain": "agency",
  "side": "loss",
  "people": {
   "n": 151,
   "unit": "people arrested after being flagged by facial recognition cameras",
   "date": "2019-10"
  },
  "effect": {
   "n": 90.5,
   "unit": "percent",
   "date": "2019-10",
   "what": "90.5% of those arrested after being flagged by the cameras were Black; two wrongful arrests documented in Rio de Janeiro, one of a woman flagged as wanted whose actual suspect had been in prison four years"
  },
  "reversible": false,
  "switch": "owner:the five state security secretariats",
  "statistic": "The Rede de Observatórios da Segurança counted 151 people arrested by facial recognition across five Brazilian states from March to October 2019; of those whose race was recorded, 90.5% were Black. Bahia accounted for 51.7% of arrests, Rio de Janeiro 37.1%, Santa Catarina 7.3%, Paraíba 3.3% and Ceará 0.7%.",
  "source": "https://cesecseguranca.com.br/artigo/levantamento-revela-que-905-dos-presos-por-monitoramento-facial-no-brasil-sao-negros/",
  "quote": "De março a outubro, foram 151 pessoas presas por meio dessa tecnologia nos cinco estados.",
  "attribution": "named",
  "source_kind": "secondary"
 },
 "from_file": "impacts/harvest/2026-09-06-china-india-africa-latam.md"
}