surveillance_spending

A DISCOVERY INDEX of surveillance and police-technology dollar figures found in local government meeting records across 130+ named vendors — NOT a table of confirmed spending, and NOT safe to SUM. An audit on 2026-07-29 found aggregate views were adding amounts that must not be added: the same procurement recurs at committee, council, approval, amendment and renewal stages; "not to exceed" figures are authorization ceilings, not payments. Use the canned query "the CONSERVATIVE total" for any number you intend to publish, and "data-quality report" to see what is flagged. Columns added for this: `amount_type` (stated / ceiling / proposed / recommended / estimated), `dup_rank` (>1 = redundant copy), `geo_suspect` (city disagrees with the source link), `anomaly` (implausible figure), `state_norm` (normalized state). Vendors covered include ALPR (Flock, Vigilant, Genetec), body cameras/tasers (Axon, WatchGuard, Utility, Getac), gunshot detection (ShotSpotter/SoundThinking), face recognition (Clearview AI, DataWorks Plus), fingerprint biometrics (Idemia AFIS/Livescan, filed separately under `sv:biometrics`), data fusion and OSINT (Fusus, Peregrine, LexisNexis Accurint, Thomson Reuters CLEAR), phone forensics (Cellebrite, GrayKey, Magnet), drones (Skydio, BRINC, DJI), cameras/VMS (Verkada, Avigilon), cell-site simulators, CAD/RMS records systems, photo enforcement, jail-call and student monitoring. Every row carries a VERBATIM quote from the minutes and a link to the source document, and a row only publishes if that quote was found character-for-character in the source text. READ THE `ledger` COLUMN: `sv:<category>:<vendor>`. `radio_infra` (two-way radios), `rms` (records/CAD software), `biometrics` (fingerprints) and `not_surveillance` are NOT surveillance sensors — exclude them before quoting any surveillance figure.

Data license: CC BY 4.0 · Data source: MyTown

1 row where ledger = "flock", state = "CA" and vendor = "Flock Group, DBA Flock Safety" sorted by amount descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: spend_date (date)

vendor 1

  • Flock Group, DBA Flock Safety · 1 ✖

state 1

ledger 1

  • flock · 1 ✖
Link rowid vendor city state spend_date product amount ▲ quote source_document mytown_record ledger amount_type dup_rank geo_suspect anomaly state_norm
1516 1516 Flock Group, DBA Flock Safety Beaumont CA 2026-04-07 approve three-year agreement 900000.0 Approve the three-year agreement with Flock Safety for the implementation of a Drone First Responder (DFR) program, for a total cost of $900,000; https://pub-beaumont.escribemeetings.com/Meeting.aspx?Id=6804201f-7088-4b6c-a0da-c5f4c02b3bcc&Agenda=Agenda&lang=English https://mytown.theboringparts.com/city/pub-beaumont/#m42849 flock stated 1 0 0 CA

Advanced export

JSON shape: default, array, newline-delimited

CSV options: 

CREATE TABLE surveillance_spending (
  vendor TEXT, city TEXT, state TEXT, spend_date TEXT, product TEXT,
  amount REAL, quote TEXT, source_document TEXT, mytown_record TEXT, ledger TEXT, amount_type TEXT, dup_rank INTEGER, geo_suspect INTEGER, anomaly INTEGER, state_norm TEXT);
CREATE INDEX ix_surv_vendor ON surveillance_spending(vendor);
CREATE INDEX ix_surv_state ON surveillance_spending(state);
CREATE INDEX ix_surv_amount ON surveillance_spending(amount);
CREATE INDEX ix_surv_ledger ON surveillance_spending(ledger);