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Graph · Campaign
01 · In focus
The structured facts the source records about Amnesty International's Ban the Scan — multi-jurisdiction campaign against police facial recognition (2021–ongoing), the count of declared adjacencies in the corpus, and the federation map zoomed on this node and its neighbours.
campaign
↑6 declared connections
02 · Connections
Split by direction. Direct links are the ones Amnesty International's Ban the Scan — multi-jurisdiction campaign against police facial recognition (2021–ongoing)’s source record names; inferred backlinks are records elsewhere in the corpus that point at this entity.
6 links
Links named in this entity's structured fields.
03 · Background
Body prose as it appears in movement-graph’s published markdown for this entity. Links to other corpus entities resolve to their graph page; links to deeper repo paths are kept as text so the page does not invent a route.
Ban the Scan is Amnesty International's sustained multi-jurisdiction campaign demanding a ban on police and state use of facial recognition technology for mass surveillance in publicly accessible spaces. Launched on 26 January 2021 in New York City in coalition with local civil-society organisations and elected officials, the campaign combines grassroots community organising, crowdsourced public investigation, research publication, and strategic litigation to build the evidentiary and political case against a technology that — in Amnesty's framing — violates the right to privacy, threatens freedom of peaceful assembly, and amplifies racist policing. The campaign's demand is categorical: a prohibition, not a regulatory framework. The campaign has expanded across three named geographic phases — New York City (2021), Hyderabad India (November 2021), and the Occupied Palestinian Territories (2023) — and remains active as of 2025–2026.
The campaign launched on 26 January 2021 with an online press conference convened by Amnesty International USA alongside a coalition of civil-rights organisations and elected officials, including the Surveillance Technology Oversight Project (S.T.O.P.), the Electronic Frontier Foundation, the New York Civil Liberties Union (NYCLU), Legal Aid Society, National Action Network, Warriors In The Garden, the Immigrant Defense Project, New York City Public Advocate Jumaane Williams, and State Senator Brad Hoylman. The coalition demanded that the New York City Council and New York State Legislature pass legislation banning government use of facial recognition for mass surveillance — specifically citing New York State Senate Bill S79 — and that the NYPD cease current FRT use immediately. The campaign website at banthescan.amnesty.org launched with the tagline "Your face is being tracked. Find out where. Help ban facial recognition technology." and a POST Act public comment portal through which New York residents could submit formal comments on NYPD facial recognition under the Public Oversight of Surveillance Technology Act, signed into New York City law in June 2020.
The launch was anchored in two arguments. The first is the rights argument: facial recognition in public spaces violates the right to privacy and threatens rights to freedom of assembly and expression regardless of technical accuracy. The second is the racial justice argument: because facial recognition systems misidentify Black, Brown, and other minoritised people at higher rates, their deployment by law enforcement disproportionately harms communities already targeted by discriminatory policing. The campaign cited the August 2020 attempt to arrest Black Lives Matter activist Derrick "Dwreck" Ingram — when NYPD officers besieged his apartment for five hours after apparently using facial recognition to identify and locate him — as a concrete illustration of the technology's chilling effect in the context of protest.
In May 2021, the campaign launched Decode Surveillance NYC — a crowdsourced public investigation through Amnesty Decoders, Amnesty International's global network of digital volunteers. Participants classified publicly available street-level imagery to identify and geolocate CCTV cameras compatible with facial recognition technology across New York City traffic intersections. The project enrolled more than 7,000 volunteers from 144 countries and produced a dataset the NYPD itself had not published.
In June 2021, Amnesty published the Surveillance City report drawing on the map data: the NYPD can use more than 15,000 cameras — predominantly Argus cameras — across Manhattan, the Bronx, and Brooklyn for facial recognition surveillance. The report calculated that protesters marching to and from BLM protest sites at Times Square, the Theatre District, Washington Square Park, and Barclays Center during mid-2020 would have faced up to 100% coverage by publicly-owned CCTV cameras compatible with facial recognition — making the scale of surveillance visible in a form the NYPD's own POST Act filings had not.
A February 2022 research report drew on the full Decode Surveillance NYC dataset — 15,280 cameras catalogued across traffic intersections in Manhattan (3,590), Brooklyn (8,220), and the Bronx (3,470) — to demonstrate that FRT-compatible camera concentration in the Bronx, Brooklyn, and Queens is highest in areas with the highest proportions of non-white residents and the highest historical rates of stop-and-frisk policing. The analysis reinforced the campaign's central argument: that facial recognition in public spaces does not operate as a neutral policing tool but reproduces and amplifies the spatial geography of discriminatory policing.
In July 2021, Amnesty International and S.T.O.P. filed suit against the NYPD under New York's Freedom of Information Law for refusing to disclose records about its surveillance of Black Lives Matter protests. The New York Supreme Court for New York County ordered the NYPD in August 2022 to hand over more than 2,700 records documenting the surveillance programme. In November 2025, a further Amnesty International and S.T.O.P. investigation revealed new NYPD surveillance abuses from the disclosure process, establishing that the litigation track remains an active element of the campaign more than four years after launch.
In November 2021, Amnesty International extended the campaign to India in a three-organisation partnership with the Internet Freedom Foundation and ARTICLE 19, targeting the Telangana state government's Command and Control Centre in Hyderabad — designed to integrate surveillance data from up to 600,000 cameras across the state — as the Indian embodiment of the same threat. The Hyderabad phase ran under the #BanTheScan framing that IFF had already built into the Indian civil-society register through Project Panoptic. Amnesty supplied the global campaign brand and international human-rights authority; IFF supplied Indian organisational and legal infrastructure; ARTICLE 19 supplied freedom-of-expression framing. The campaign's most consequential downstream artefact was the January 2022 public-interest-litigation petition filed at the Telangana High Court by Hyderabad activist S.Q. Masood with IFF legal-counsel support — India's first major judicial challenge to police facial recognition.
In May 2023, Amnesty International published Automated Apartheid: How facial recognition fragments, segregates and controls Palestinians in the OPT — the research base for the campaign's third geographic phase. The report documented Israeli authorities' deployment of the Red Wolf facial recognition system at military checkpoints in Hebron and East Jerusalem — the only two cities in the OPT with Israeli settlements inside their bounds. Red Wolf scans Palestinians' faces without their knowledge or consent, compares their faces against databases that exclusively contain information about Palestinians, and uses the match result to determine whether individuals can pass checkpoints; the system automatically biometrically enrols any new face it processes. Red Wolf is connected to two further military-run systems: Wolf Pack, a comprehensive database of information on Palestinians in the OPT, and Blue Wolf, a smartphone-accessible app for Israeli forces to query that database in real time. Amnesty demanded an end to Israeli authorities' use of facial recognition against Palestinians and the wider dismantling of the surveillance architecture the Red Wolf system operates within.
The campaign carries a standing global petition calling on UN leaders to prohibit the use of facial recognition for mass surveillance by state agencies and private-sector actors worldwide — translating the city-level legislative demands into a UN-level human-rights instrument demand. The petition sits alongside the Access Now-led global #BanBS open letter (launched June 2021 with 175+ signatories from 55 countries, co-drafted by Amnesty International) as the two international-level expressions of the same prohibition demand. The two operate at different registers: the #BanBS coalition open letter functions as a standing international civil-society commitment across 200+ organisations; the Ban the Scan petition and campaign hub function as Amnesty's own branded vehicle for mobilising individual public commitment and anchoring the three-jurisdiction research-and-advocacy arc.
Ban the Scan is structurally distinctive in the corpus on three counts. First, it is the corpus's clearest example of a single civil-society organisation deploying a multi-pronged research-mapping-litigation-petition strategy against a specific municipal police department's FRT deployment over a sustained multi-year arc; most comparable campaigns operate primarily in one register. Second, the Decode Surveillance NYC methodology — mobilising 7,000+ volunteers from 144 countries to produce public-interest surveillance data the NYPD had not published — is the corpus's primary instance of a crowdsourced citizen-investigation tactic applied to public surveillance infrastructure, producing research with direct legislative and judicial downstream application. Third, the campaign's jurisdictional expansion from New York City to Hyderabad to the Occupied Palestinian Territories — three deeply different governance contexts, each anchored on the same organisational brand and core prohibition demand — illustrates both the portability of the "ban the scan" framing and Amnesty International's capacity to use its global footprint to embed a US-originated civil-society campaign in international human-rights accountability terrain across multiple jurisdictions simultaneously.
04 · Sources
10 sources listed from the pinned corpus. Links are shown only when the source URL is a valid HTTP(S) address.
Amnesty International Ban the Scan campaign hub — primary source for the campaign's three-jurisdiction structure (New York City, Hyderabad, Occupied Palestinian Territories), the verbatim tagline ("Your face is being tracked. Find out where. Help ban facial recognition technology."), the POST Act public comment portal, and the campaign's standing status as Amnesty International's signature global anti-FRT initiative
Amnesty International 26 January 2021 campaign launch press release — primary source for the launch date, New York City as first target jurisdiction, the framing of facial recognition as amplifying racist policing, and the named New York coalition partners: AI for the People, Surveillance Technologies Oversight Project, Immigrant Defense Project, NYCLU, NYC Public Advocate, The Privacy NY Coalition, State Senator Brad Hoylman, Rada Studios
Amnesty International USA coalition press release — primary source for the full launch coalition including S.T.O.P., EFF, Legal Aid Society, National Action Network, Warriors In The Garden, Immigrant Defense Project, NYCLU, the Derrick "Dwreck" Ingram August 2020 NYPD incident as campaign context, and the named legislative asks (NY State Senate Bill S79; NYC Council ban on government facial recognition for mass surveillance)
Amnesty International May 2021 press release launching Decode Surveillance NYC — primary source for the May 2021 launch of the Amnesty Decoders crowdsourced camera-mapping tool, the POST Act public comment process it served, and the volunteer classification methodology across New York City traffic intersections
"Surveillance City" report, June 2021 — primary source for the finding that the NYPD can use more than 15,000 cameras across Manhattan, the Bronx, and Brooklyn for facial recognition surveillance, and for the data showing up to 100% FRT camera coverage on routes marched by BLM protesters at Times Square, the Theatre District, Washington Square Park, and Barclays Center in mid-2020
February 2022 racial disparities research — primary source for the finding that FRT-compatible camera density in the Bronx, Brooklyn, and Queens correlates with the proportion of non-white residents and with areas at higher risk of racist stop-and-frisk policing, and for the Amnesty Decoders count of 15,280 cameras tagged by 7,000+ volunteers from 144 countries
August 2022 Amnesty International press release — primary source for the New York Supreme Court for New York County ordering the NYPD to disclose more than 2,700 records about its surveillance of Black Lives Matter protests, the litigation outcome of the July 2021 lawsuit filed by Amnesty International and S.T.O.P.
"Automated Apartheid" report, May 2023 — primary source for the Red Wolf facial recognition system at military checkpoints in Hebron and East Jerusalem, its operation without Palestinian consent, its connection to the Wolf Pack database and Blue Wolf app, automatic biometric enrolment of new faces, and the campaign's demand for an end to Israeli authorities' use of FRT against Palestinians
Amnesty International Ban the Scan — Occupied Palestinian Territories campaign page — primary source for the OPT phase as the campaign's third named geographic phase and for the Red Wolf system's deployment at Hebron checkpoints
November 2025 Amnesty International + S.T.O.P. press release — primary source for continued litigation findings from the NYPD BLM surveillance lawsuit, establishing that the campaign and its legal track remain active as of late 2025
Source: entities/campaigns/camp-amnesty-ban-the-scan-facial-recognition-2020-ongoing.md — movement-graph pin 5d136ad.