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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

3 rows where state = "NJ" and vendor = "Rekor Systems" sorted by amount descending

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vendor 1

  • Rekor Systems · 3 ✖

state 1

  • NJ · 3 ✖

ledger 1

  • sv:alpr:rekor 3
Link rowid vendor city state spend_date product amount ▲ quote source_document mytown_record ledger amount_type dup_rank geo_suspect anomaly state_norm
3405 3405 Rekor Systems Vineland NJ 2025-12-23 ALPR cameras (award contract) 79140.0 A RESOLUTION AUTHORIZING AWARD OF A CONTRACT TO REKOR RECOGNITION SYSTEMS, INC., COLUMBIA, MD, FOR THE PURCHASE OF AUTOMATIC LICENSE PLATE READER CAMERAS, IN AN AMOUNT NOT TO EXCEED $79,140.00. https://vinelandnj.api.civicclerk.com/v1/Meetings/GetMeetingFileStream(fileId=307,plainText=false) https://mytown.theboringparts.com/city/vinelandnj/#m531908 sv:alpr:rekor ceiling 1 0 0 NJ
3933 3933 Rekor Systems Caldwell NJ 2025-06-03 license plate readers (purchase) 55668.0 04823 REKOR RECOGNITION SYSTEMS INC. 25-00540 3-90, LICENSE PLATE READERS 55,668.00 6.00 https://caldwell-nj.com/vertical/sites/%7B6BAC054F-223B-4082-A606-DE1D76D33F98%7D/uploads/June_3rd_Council_Mins_250618_085757.pdf https://mytown.theboringparts.com/city/caldwell-nj.com/2025/#m2595316 sv:alpr:rekor stated 1 0 0 NJ
2539 2539 Rekor Systems Roseland NJ 2023-06-06 AI vehicle recognition system (award contract) 20270.0 awarding a Required Disclosure Contract to Rekor Recognition Systems, Inc. in the amount of $20,270.00 for the purchase of an AI vehicle recognition system https://www.roselandnj.org/AgendaCenter/ViewFile/Minutes/_06062023-59 https://mytown.theboringparts.com/city/roselandnj.org/2023/#m1540227 sv:alpr:rekor stated 1 0 0 NJ

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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);
Powered by Datasette · Queries took 1785.74ms · Data license: CC BY 4.0 · Data source: MyTown