Indiana License Plate Surveillance: A Living Statistical Report

Eyes Off Indiana

Abstract

Automated license plate readers photograph every passing vehicle and log its plate, location, and timestamp in searchable databases. To measure the scale of this infrastructure, Eyes Off Indiana continuously analyzes every ALPR camera recorded in OpenStreetMap — the crowdsourced dataset behind the DeFlock mapping project — together with US Census boundary files and population estimates, and detection volumes that Indiana agencies publish on their own Flock Safety transparency portals.

As of August 27, 2026, 3,652 ALPR cameras are documented in Indiana (at least 2,696 of them Flock Safety hardware), in 84 of 92 counties. Indiana ranks #9 nationally by camera count and #6 per capita, holding 2.7% of the 110,198 cameras mapped nationwide. A net 338 cameras were documented in the past 30 days. Applying the per-camera detection rate Indiana agencies self-report (474 vehicles per camera per day), the documented network alone reads on the order of 1.7 million plates per day. Indiana has no statewide law governing retention, access, or oversight of this data.

Every count on this page is a floor, not a census: these are cameras volunteers have found and documented. Section 7 explains what these numbers can and cannot say.

Prefer to see it on a map? Explore all 3,035 documented cameras — and add ones you spot — on the statewide ALPR camera map.

How to cite

Eyes Off Indiana, "Indiana License Plate Surveillance Datasets," Eyes Off Indiana, updated August 27, 2026, https://eyesoffindiana.org/datasets.

Camera locations © OpenStreetMap contributors (ODbL); analysis CC BY 4.0. Questions: info@eyesoffindiana.org

1. Growth of the Documented Network, 2022–Present

Download: CSV · JSON · Series updated August 27, 2026

The first ALPR camera in Indiana was documented in OpenStreetMap in 2022-12. Each camera in the series is dated to the earliest OpenStreetMap version carrying its ALPR tags — not the node's creation date, because mappers occasionally retag an existing pole or signal node when a camera is mounted on it. Months after July 2026 use the maximum daily statewide total recorded by our monitoring, which queries the Overpass API every day; the maximum (rather than the latest value) smooths transient dips when a mirror returns partial results. The source column in the download flags which method produced each row.

Figure 1. Cumulative ALPR cameras documented in Indiana by month, 2022-12 through 2026-08. Survivor curve from per-camera OpenStreetMap edit histories; latest months from daily Overpass totals.

Table 1a. Last 12 months

Month	Cameras	Added
2026-08	3,652	+282
2026-07	3,370	+341
2026-06	3,029	+264
2026-05	2,765	+224
2026-04	2,541	+126
2026-03	2,415	+145
2026-02	2,270	+242
2026-01	2,028	+213
2025-12	1,815	+356
2025-11	1,459	+551
2025-10	908	+137
2025-09	771	+139
2025-08	632	+85

Table 1b. Milestones

Cameras	Date reached
1	2022-12-05
100	2024-12-28
500	2025-07-05
1,000	2025-11-09
1,500	2025-12-03
2,000	2026-01-24
2,500	2026-04-24
3,000	2026-06-28

2. All 50 States Ranked

Download: CSV · JSON · Updated July 01, 2026 (July 2026 baseline)

110,198 ALPR cameras are currently mapped in the United States. Each camera is assigned to a state with Census Bureau boundary polygons; rankings are provided by raw count, per 100,000 residents, and per 1,000 square miles of land area. Click any column header to re-sort — per-capita and density rankings often tell a different story than raw counts. Indiana's row is highlighted.

Table 2. ALPR cameras by state (click headers to sort)

Rank	State	Cameras	Per 100k	Per 1,000 sq mi	Per-capita rank	Density rank
#1	California	16,575	42.0	106.3	#8	#10
#2	Texas	13,429	42.9	51.4	#7	#18
#3	Florida	7,389	31.6	137.7	#18	#6
#4	Georgia	7,259	64.9	125.8	#1	#7
#5	Illinois	5,931	46.7	106.8	#4	#9
#6	Ohio	5,662	47.6	138.6	#3	#5
#7	New York	3,609	18.2	76.6	#34	#13
#8	Michigan	3,320	32.7	58.6	#16	#16
#9	Indiana	2,983	43.1	83.3	#6	#11
#10	Missouri	2,832	45.3	41.2	#5	#22
#11	North Carolina	2,809	25.4	57.8	#25	#17
#12	Virginia	2,704	30.7	68.5	#19	#14
#13	Tennessee	2,614	36.2	63.4	#12	#15
#14	Colorado	2,309	38.8	22.3	#11	#27
#15	Arizona	2,197	29.0	19.3	#21	#29
#16	Alabama	2,090	40.5	41.3	#9	#21
#17	Wisconsin	1,917	32.2	35.4	#17	#25
#18	Pennsylvania	1,851	14.2	41.4	#37	#20
#19	Kansas	1,763	59.3	21.6	#2	#28
#20	Washington	1,763	22.2	26.5	#31	#26
#21	Louisiana	1,563	34.0	36.2	#13	#24
#22	Kentucky	1,543	33.6	39.1	#14	#23
#23	South Carolina	1,476	26.9	49.1	#22	#19
#24	New Jersey	1,318	13.9	179.2	#38	#2
#25	Minnesota	1,290	22.3	16.2	#30	#31
#26	Oklahoma	1,215	29.7	17.7	#20	#30
#27	Massachusetts	932	13.1	119.5	#40	#8
#28	Utah	913	26.1	11.1	#24	#35
#29	New Mexico	830	39.0	6.8	#10	#38
#30	Connecticut	824	22.4	170.2	#28	#4
#31	Arkansas	822	26.6	15.8	#23	#32
#32	Maryland	787	12.6	81.0	#41	#12
#33	Iowa	784	24.2	14.0	#26	#34
#34	Mississippi	687	23.3	14.6	#27	#33
#35	Nevada	675	20.7	6.1	#32	#40
#36	Oregon	442	10.3	4.6	#42	#42
#37	Nebraska	402	20.0	5.2	#33	#41
#38	Delaware	349	33.2	179.1	#15	#3
#39	Idaho	293	14.6	3.5	#36	#43
#40	Rhode Island	249	22.4	240.8	#29	#1
#41	West Virginia	178	10.1	7.4	#44	#36
#42	North Dakota	126	15.8	1.8	#35	#45
#43	South Dakota	124	13.4	1.6	#39	#47
#44	New Hampshire	66	4.7	7.4	#45	#37
#45	Wyoming	60	10.2	0.6	#43	#48
#46	Maine	51	3.6	1.7	#48	#46
#47	Montana	45	4.0	0.3	#46	#49
#48	Hawaii	43	3.0	6.7	#49	#39
#49	Vermont	24	3.7	2.6	#47	#44
#50	Alaska	1	0.1	0.0	#50	#50

3. All 92 Indiana Counties Ranked

Download: CSV · JSON · Updated August 26, 2026 (July 2026 baseline)

3,035 cameras are assigned to Indiana counties using Census cartographic county polygons. 84 counties have at least one documented camera; a county showing zero means none documented, not none installed. Each county name links to a local report with a camera map and the agencies involved.

Table 3. ALPR cameras by county (click headers to sort)

Rank	County	Cameras	Per 10k	Per 100 sq mi	Per-capita rank	Population
#1	Marion	509	5.2	129	#24	981,628
#2	Hamilton	213	5.6	54	#21	379,704
#3	Lake	205	4.1	41	#38	502,955
#4	Allen	117	2.9	18	#56	399,295
#5	St. Joseph	111	4.1	24	#39	273,744
#6	Hendricks	110	5.8	27	#16	190,629
#7	Vanderburgh	108	6.0	46	#13	180,387
#8	Johnson	106	6.2	33	#12	170,614
#9	Clark	104	8.2	28	#5	127,479
#10	Elkhart	101	4.9	22	#26	207,436
#11	Porter	99	5.6	24	#20	175,860
#12	LaPorte	78	7.0	13	#7	111,348
#13	Madison	77	5.7	17	#17	134,222
#14	Tippecanoe	59	3.1	12	#53	191,650
#15	Hancock	58	6.5	19	#10	88,810
#16	Vigo	53	5.0	13	#25	106,166
#17	Boone	45	5.7	11	#18	78,773
#18	Delaware	42	3.7	11	#45	112,951
#19	Kosciusko	38	4.7	7	#28	80,669
#20	Dearborn	36	7.0	12	#8	51,435
#21	Grant	30	4.5	7	#32	66,458
#22	Dubois	28	6.4	7	#11	43,629
#23	Greene	26	8.3	5	#4	31,219
#24	Monroe	25	1.8	6	#72	140,702
#25	Shelby	25	5.5	6	#23	45,654
#26	Bartholomew	23	2.7	6	#59	84,741
#27	Floyd	23	2.8	15	#58	81,931
#28	Henry	23	4.7	6	#29	49,081
#29	Noble	21	4.4	5	#33	47,811
#30	Warrick	21	3.2	5	#52	66,339
#31	Howard	20	2.4	7	#67	84,082
#32	Jackson	20	4.2	4	#36	47,420
#33	Knox	20	5.6	4	#22	35,872
#34	Marshall	20	4.3	5	#35	46,464
#35	Morgan	20	2.7	5	#60	73,825
#36	Spencer	18	8.9	5	#3	20,192
#37	Wabash	18	5.8	4	#15	30,777
#38	Adams	17	4.6	5	#30	36,584
#39	Huntington	17	4.6	4	#31	36,944
#40	Randolph	17	7.0	4	#9	24,337
#41	Wayne	17	2.6	4	#63	66,410
#42	DeKalb	16	3.6	4	#48	44,330
#43	Sullivan	16	7.7	4	#6	20,768
#44	Lawrence	15	3.3	3	#49	45,192
#45	Putnam	15	4.0	3	#41	37,804
#46	Tipton	15	9.8	6	#2	15,324
#47	Montgomery	14	3.6	3	#47	38,633
#48	Blackford	13	11.0	8	#1	11,816
#49	Harrison	13	3.3	3	#50	39,978
#50	Jefferson	12	3.6	3	#46	32,921
#51	LaGrange	12	2.9	3	#57	41,122
#52	Wells	12	4.2	3	#37	28,798
#53	Posey	11	4.4	3	#34	25,067
#54	Cass	10	2.7	2	#61	37,559
#55	Decatur	10	3.8	3	#44	26,421
#56	Miami	9	2.5	2	#64	35,613
#57	Starke	9	3.8	3	#42	23,463
#58	Newton	8	5.7	2	#19	14,131
#59	Steuben	7	2.0	2	#68	34,862
#60	Whitley	7	2.0	2	#69	34,885
#61	Brown	6	3.8	2	#43	15,650
#62	Fulton	6	3.0	2	#55	20,004
#63	Orange	6	3.0	2	#54	19,824
#64	White	6	2.4	1	#66	24,833
#65	Crawford	5	4.8	2	#27	10,523
#66	Perry	5	2.6	1	#62	19,320
#67	Pulaski	5	4.0	1	#40	12,421
#68	Vermillion	5	3.2	2	#51	15,516
#69	Warren	5	5.9	1	#14	8,451
#70	Clinton	4	1.2	1	#78	32,895
#71	Gibson	4	1.2	1	#79	33,038
#72	Jennings	4	1.4	1	#75	27,634
#73	Owen	4	1.8	1	#70	21,851
#74	Parke	4	2.4	1	#65	16,508
#75	Scott	4	1.6	2	#73	24,751
#76	Washington	4	1.4	1	#77	28,345
#77	Carroll	3	1.4	1	#76	20,747
#78	Jasper	3	0.9	1	#80	33,387
#79	Rush	3	1.8	1	#71	16,759
#80	Daviess	2	0.6	0	#82	34,097
#81	Fayette	2	0.9	1	#81	23,335
#82	Clay	1	0.4	0	#83	26,424
#83	Ripley	1	0.3	0	#84	29,214
#84	Union	1	1.5	1	#74	6,884
#85	Benton	0	0.0	0	#85	8,853
#86	Fountain	0	0.0	0	#86	16,833
#87	Franklin	0	0.0	0	#87	23,136
#88	Jay	0	0.0	0	#88	20,164
#89	Martin	0	0.0	0	#89	9,864
#90	Ohio	0	0.0	0	#90	5,996
#91	Pike	0	0.0	0	#91	12,116
#92	Switzerland	0	0.0	0	#92	9,988

4. All 566 Indiana Cities and Towns Ranked

Download: CSV · JSON · Updated August 27, 2026

2,287 cameras fall inside the incorporated limits of Indiana's 566 cities and towns, assigned using Census cartographic place polygons; the remainder of the statewide total sits in unincorporated areas and is covered by the county table above. 186 municipalities have at least one documented camera. Each row includes the parent county. The table below shows the top 50 by camera count — the downloads and the city rankings page carry all 566, and each city name links to a local report with a camera map and the agencies involved.

Table 4. ALPR cameras by city and town, top 50 (click headers to sort)

Rank	City / Town	County	Cameras	Per 1,000	Per sq mi	Per-capita rank	Population
#1	Indianapolis	Marion	495	0.6	1.4	#104	891,484
#2	Carmel	Hamilton	100	1.0	2.0	#49	103,606
#3	Fort Wayne	Allen	88	0.3	0.8	#135	273,203
#4	Evansville	Vanderburgh	70	0.6	1.5	#93	115,395
#5	Jeffersonville	Clark	64	1.2	1.9	#33	52,912
#6	Greenwood	Johnson	58	0.9	2.0	#61	68,175
#7	Michigan City	LaPorte	54	1.7	2.6	#20	31,466
#8	South Bend	St. Joseph	53	0.5	1.3	#108	103,713
#9	Gary	Lake	46	0.7	0.9	#82	67,555
#10	Fishers	Hamilton	45	0.4	1.2	#119	103,986
#11	Noblesville	Hamilton	45	0.6	1.3	#94	75,239
#12	Anderson	Madison	41	0.7	1.0	#73	55,851
#13	Muncie	Delaware	38	0.6	1.4	#98	65,320
#14	Elkhart	Elkhart	35	0.7	1.2	#88	53,690
#15	Highland	Lake	33	1.4	4.8	#27	23,497
#16	Terre Haute	Vigo	33	0.6	0.9	#103	58,531
#17	Avon	Hendricks	26	1.1	1.3	#43	24,735
#18	Clarksville	Clark	26	1.2	2.6	#35	22,041
#19	Hammond	Lake	25	0.3	1.1	#133	76,030
#20	Lafayette	Tippecanoe	25	0.3	0.8	#130	71,757
#21	Greenfield	Hancock	24	0.9	1.7	#53	26,268
#22	Valparaiso	Porter	24	0.7	1.4	#80	35,065
#23	Goshen	Elkhart	23	0.7	1.3	#83	34,458
#24	Zionsville	Boone	23	0.7	0.3	#78	33,161
#25	Brownsburg	Hendricks	22	0.7	1.3	#86	33,430
#26	Franklin	Johnson	22	0.8	1.4	#63	26,158
#27	Plainfield	Hendricks	22	0.6	0.8	#97	37,796
#28	Lawrence	Marion	21	0.4	1.0	#122	49,817
#29	Lawrenceburg	Dearborn	20	3.8	3.8	#6	5,216
#30	Mishawaka	St. Joseph	19	0.4	1.0	#127	51,020
#31	Merrillville	Lake	17	0.5	0.5	#116	36,989
#32	Portage	Porter	17	0.4	0.7	#118	38,576
#33	Westfield	Hamilton	17	0.3	0.5	#151	62,994
#34	Griffith	Lake	15	0.9	1.9	#51	16,192
#35	Jasper	Dubois	15	0.9	1.1	#55	16,967
#36	Columbus	Bartholomew	14	0.3	0.5	#152	51,970
#37	Kokomo	Howard	14	0.2	0.4	#165	60,093
#38	Marion	Grant	13	0.5	0.8	#115	28,216
#39	Richmond	Wayne	13	0.4	0.5	#128	35,561
#40	Seymour	Jackson	13	0.6	1.0	#99	22,524
#41	Cumberland	Hancock	12	1.7	4.3	#23	7,211
#42	New Albany	Floyd	12	0.3	0.8	#136	37,652
#43	Warsaw	Kosciusko	12	0.7	0.9	#72	16,111
#44	Auburn	DeKalb	11	0.8	1.3	#65	13,989
#45	Beech Grove	Marion	11	0.8	2.5	#69	14,566
#46	Bloomington	Monroe	11	0.1	0.5	#180	79,986
#47	Chesterton	Porter	11	0.8	1.2	#70	14,655
#48	Lake Station	Lake	11	0.8	1.3	#62	13,033
#49	Vincennes	Knox	11	0.7	1.5	#84	16,506
#50	Wabash	Wabash	11	1.1	1.1	#42	10,275

5. Individual Camera Coordinates

Download: CSV · JSON · Updated August 26, 2026

Latitude and longitude of every documented camera (3,035 points), with the county each point falls in and whether the camera carries a Flock Safety manufacturer tag in OpenStreetMap. Useful for mapping, spatial joins against school zones, clinics, or places of worship, and independent verification of every figure above. Points are © OpenStreetMap contributors and redistributable under the ODbL. Explore them interactively on any county page.

6. What Agencies Themselves Report: Detection Volumes

Download: CSV · JSON · Updated August 27, 2026

Some Indiana agencies operate public Flock Safety "transparency portals" that disclose how many cameras they run and how many vehicles those cameras detected in the last 30 days. 22 Indiana portals currently disclose both figures (aggregated by Eyes On Flock): 360 cameras detecting 5,121,009 vehicles per 30 days — a camera-weighted mean of 474 vehicles per camera per day (median agency: 479).

Table 5. Self-reported detections on Indiana Flock transparency portals

Agency	Cameras	Vehicles / 30 days	Per camera / day
Michigan City Police Department	60	412,360	229
Evansville Police Department	56	512,086	305
Vanderburgh County Sheriff's Office	48	463,571	322
Fort Wayne Police Department	42	573,313	455
Hendricks County Sheriff's Office	19	642,862	1,128
Greenfield Police Department	17	217,440	426
Pittsboro Police Department	13	102,126	262
Winchester Police Department	13	58,512	150
Johnson County Sheriff's Office	12	294,315	818
Shelby County Sheriff's Office	12	162,997	453
Warrick County Sheriff's Office	12	235,375	654
Allen County Sheriff's Office	10	292,360	975
Mooresville Police Department	7	144,306	687
Avon Police Department	6	318,316	1,768
Martinsville Police Department	6	155,348	863
Wells County Sheriff's Office	6	78,468	436
Delphi Police Department	5	51,840	346
Bluffton Police Department	4	57,422	479
Cedar Lake Police Department	4	85,165	710
West Lafayette Police Department	4	216,971	1,808
Milton Police Department	2	38,774	646
Seelyville Police Department	2	7,082	118

5.1 The statewide plates-scanned estimate

The homepage figure "plates scanned in Indiana today" is derived from this dataset in three steps, with every input exposed at /api/plates-scanned-today:

Rate. The camera-weighted mean detection rate from Table 5: 5,121,009 vehicles ÷ 360 cameras ÷ 30 days = 474 per camera per day.
Scale. Multiplied by the 3,652 cameras currently documented statewide: ≈ 1,731,660 plate reads per day.
Time of day. Distributed across the day with a typical weekday hourly traffic profile in Indiana local time (roughly 1% of daily traffic falls in the 2–3 a.m. hour versus about 8% at the 4–5 p.m. peak), rather than assuming a uniform rate around the clock.

This estimate supersedes an earlier version of our homepage counter that assumed a uniform 8,640 reads per camera per day — an assumption roughly 12 times higher than what Indiana agencies themselves report. The current method still carries real uncertainty (Section 7.3, item 6), but every component now traces to a published source.

7. Reading These Numbers Correctly

6.1 Documented is not installed

Everything on this page counts cameras that volunteers have physically located and added to OpenStreetMap. No Indiana agency is required to disclose camera locations, and most do not; crowdsourced documentation is the only statewide accounting that exists. Three consequences follow. First, every count is a lower bound — the installed total is certainly higher. Second, coverage is uneven: areas with active mappers (cities, suburbs, interstate corridors) are documented more completely than rural areas, so low rural counts partly reflect fewer mappers, not just fewer cameras. Third, a county with zero documented cameras is a county where none have been found, which is not evidence of absence.

6.2 Why the statewide totals differ slightly across tables

Careful readers will notice the statewide total varies by up to a few percent depending on the table. These are boundary-resolution and method artifacts, not errors; each table is internally consistent. Compare within a table, not across tables.

Table 6. The same network, measured four ways

Figure	Measurement	Why it differs
3,652	Statewide total (daily Overpass query) Used in: Homepage counter; growth series (latest months)	Direct count of ALPR nodes inside Indiana's OpenStreetMap administrative boundary, refreshed daily.
3,035	Sum of county assignments Used in: County rankings; county pages	Each camera point assigned to a county with Census cartographic county polygons; cameras just outside the polygons (border roads, simplification gaps) are dropped.
2,983	Indiana row in the 50-state table Used in: State rankings	Assignment with generalized 1:20,000,000 state outlines, which clip more border cameras than county polygons do.
3,652	Growth-series endpoint Used in: Growth dataset	Survivor curve (cameras on today's map dated by first documentation) extended with the maximum daily Overpass total each month.

6.3 Known biases and limitations

Documentation growth is not installation growth. The growth curve in Section 1 dates each camera to when it was first documented. A surge in the curve can reflect a burst of volunteer mapping (for example, after DeFlock attracted national attention in 2025) as much as a burst of installation, and the curve's start in late 2022 marks the beginning of mapping, not of ALPR use in Indiana. Historical cross-checks against the OpenStreetMap time-machine database agree with the curve within about 4%, so deletions do not distort the trend — but the curve should be read as "documentation of the network," which converges toward the network itself only as mapping matures.
Survivor bias. The per-camera dating method cannot see cameras that were mapped and later removed from the map. The ~4% agreement with direct historical queries indicates this effect is small.
Geographic coverage bias. Mapping effort concentrates where mappers live and drive. Urban and suburban counts are more complete than rural ones, which compresses true differences between metro and rural counties by an unknown amount.
Vendor attribution is incomplete. The Flock Safety figure counts cameras whose OpenStreetMap entry carries a Flock manufacturer tag (2,696 of 3,035 at last refresh). Untagged cameras may also be Flock hardware, so the Flock share is itself a floor.
Per-capita denominators use residential population. Cameras scan travelers, not residents. Counties with heavy commuter or interstate traffic will scan far more non-residents than the per-capita rate implies.
The plates-scanned estimate inherits its inputs' limits. The per-camera rate comes from the 22 agencies that choose to publish portals, which may not represent all operators; the figures are self-reported and unaudited; detections of the same vehicle by multiple cameras count separately (the relevant measure for location tracking, but not unique vehicles); and the hourly profile is a typical weekday, not measured Indiana traffic.
Boundary artifacts. Cameras within a few meters of state or county lines can be clipped by simplified boundary polygons, producing the small discrepancies in Table 6 (at most about 1.5% of the statewide total).

8. Data and Methods

Camera locations. Every OpenStreetMap node tagged man_made=surveillance with surveillance:type=ALPR, retrieved via the Overpass API. The statewide total refreshes daily; the state and county rankings, camera coordinates, and growth series refresh nightly at midnight (US Eastern). This is the same community-maintained dataset that powers DeFlock.me. If a refresh fails, the page serves the last successful figures and flags the section with its baseline date rather than showing an error.

Geographic assignment. Each camera point is assigned to a state or county by ray-casting point-in-polygon tests against US Census Bureau cartographic boundary files (1:20,000,000 outlines for states; higher-resolution county polygons for Indiana). The District of Columbia and Puerto Rico are excluded from the 50-state ranking.

Growth series. For each camera on today's map we retrieve its OpenStreetMap edit history and date it to the earliest version carrying the ALPR tags, correcting for nodes that were retagged from existing poles or signals (skipping this correction would backdate several cameras by years). This survivor curve was cross-checked against the Overpass API's historical database at every quarter boundary since 2019, agreeing within about 4% throughout. From August 2026 onward, each month's value is the maximum daily statewide total recorded by our monitoring.

Denominators. US Census Bureau Vintage 2024 population estimates and 2024 gazetteer land areas (states and counties).

Detection volumes. "Vehicles detected in the last 30 days" and camera counts as published on agencies' Flock Safety transparency portals, collected by the independent aggregator Eyes On Flock and re-derived by us nightly from Indiana portals disclosing both figures.

Availability and license. All six datasets are downloadable above in CSV and JSON; the JSON downloads embed source, license, and citation metadata. Camera locations are © OpenStreetMap contributors under the ODbL; our compilations and analysis are CC BY 4.0. Analysis scripts and archival snapshots are available on request at info@eyesoffindiana.org. Downloads are free to republish and analyze with attribution; please do not hotlink these endpoints as a live data API for another site — download and host a copy, or contact us about automated access.

Take Action

Indiana has no statewide law limiting how long ALPR location data is kept, who can search it, or how it is audited. Sign the Eyes Off Indiana petition asking the General Assembly to set rules for retention, access, and oversight, and contact your state legislators.