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Automated license plate readers (ALPRs) record sightings of vehicles at camera locations; vehicle GPS tracking can record repeated positions from an equipped vehicle. An ALPR scan commonly includes a plate number, location, date, and time. A GPS receiver calculates position and time, but a tracker or connected-vehicle service must record or transmit that information for it to become a remote tracking history. Neither system automatically identifies who was driving, and the fields, reporting frequency, retention, and access depend on the equipment and operator.
What data does an ALPR collect?
An automated license plate reader uses a camera and software to capture a vehicle’s plate as it passes a reader. A typical scan record includes the plate number, the reader’s location, and the date and time of the scan. Depending on the system, it may also include an image of the vehicle or surrounding scene, and derived vehicle characteristics. These are capabilities, not fields every ALPR necessarily records; in particular, it is inaccurate to assume every reader captures or identifies occupants.
ALPR records are encounter-based: they show that a vehicle was seen at particular camera locations and times. The system’s usefulness for reconstructing movement depends on where readers are installed, how often vehicles pass them, and whether records are shared or searchable across databases. It does not by itself provide a continuous route between sightings.
A plate scan identifies a vehicle registration, not necessarily the driver. Other records may connect a plate to a person, but that link comes from additional information rather than the camera identifying a named driver from the plate alone. The Electronic Frontier Foundation explains common ALPR fields, imagery, database use, and variation in retention in its ALPR overview.
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What ALPR scan totals can—and cannot—show
In a 2018 report based on records from 200 law-enforcement agencies for 2016 and 2017, the Electronic Frontier Foundation and MuckRock reported more than 2.5 billion scans; 99.5% of plates in that dataset were not under suspicion when scanned. Those figures describe the agencies and years examined, not every ALPR deployment. Read the report and its dataset context.
What does vehicle GPS tracking record?
A GPS receiver calculates its position and time from signals broadcast by GPS satellites. GPS is a positioning, navigation, and timing service; the satellites do not receive a vehicle’s location. GPS.gov puts it plainly: “The government’s GPS satellites are one-way beacons that cannot track you or anything on the ground.” GPS.gov’s GPS overview explains how the system works.
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Tracking requires something beyond satellite positioning: a device or vehicle system that records the receiver’s fixes, and, for remote tracking, a means to communicate those records. Depending on the product or connected-vehicle service, records may include repeated positions and timestamps, trip history, or driving-behavior signals such as braking or speeding. A tracker may store data locally, report it remotely, or do both; not every tracker sends data to a company, and not every service collects the same fields. GPS.gov distinguishes the satellite service from location-tracking devices in its GPS location privacy background.
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How frequent are GPS location reports?
Reporting cadence is a product and service choice, not a fixed property of GPS. As a specific example, the Federal Trade Commission said in its 2025 account of the GM/OnStar matter that location data were collected as often as every three seconds for some users. That example should not be read as the usual interval for all vehicles or trackers. The FTC’s announcement describes that matter.
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ALPR vs. GPS tracking: the practical differences
| Question | ALPR | Vehicle GPS tracking |
|---|---|---|
| How is location obtained? | A camera records a scan when a vehicle passes a reader. | A receiver calculates position; a device or service can record and report repeated positions. |
| Common data | Plate number, scan location, date, and time; some systems also capture images or derive vehicle attributes. | Position and time; depending on the service, trip history and behavior signals such as braking or speeding. |
| Coverage pattern | Depends on reader locations, scan range, deployment, and data sharing. | Depends on vehicle equipment and whether the tracker or service is operating and communicating. |
| Identity represented | A vehicle registration; linking it to a driver requires other information. | Vehicle or account identifiers may associate records with an owner or user; the relationship depends on setup. |
| Questions to check | Are images or derived fields collected? How long are records kept? Who can query or receive them? | How often is location recorded? Is data stored locally or sent remotely? Which telemetry fields, account links, sharing, and controls apply? |
The table describes common patterns rather than universal specifications. ALPRs can reveal movement where cameras capture and share sightings; GPS tracking can create a denser history between those points when a vehicle is equipped and reports regularly. Neither guarantees continuous, real-time coverage.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What determines privacy risk?
The amount of data collected is only one part of the privacy picture. For either system, the practical questions are what is retained, for how long, who can search it or receive it, and what legal rules or user controls apply. Retention and access policies vary among agencies, companies, services, and configurations; there is no single standard period that applies to every ALPR record or GPS history.
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Connected vehicles may collect categories beyond location. The FTC’s 2024 discussion identifies examples that can include geolocation, telematics, video, biometric, and other personal information, but this does not mean every vehicle collects all of them. The FTC’s vehicle-data discussion provides broader context.
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GM and OnStar: a specific U.S. enforcement example
In January 2025, the FTC announced action over alleged collection and sharing of precise geolocation and driving-behavior data by GM and OnStar without adequate disclosure and consent. The FTC described examples including location, hard braking, late-night driving, and speeding. Those allegations and the three-second example concern that matter, not all connected vehicles.
In January 2026, the FTC announced it had finalized an order in the matter. According to the FTC, the order requires affirmative express consent before covered collection, use, or sharing, subject to exceptions; gives U.S. consumers a way to request a copy of and deletion of covered data; and provides options to disable or opt out of covered collection in specified circumstances. These are terms of the GM/OnStar order, not a universal requirement for every GPS tracker or automaker. See the FTC’s final-order announcement.
Quick Recap
What to check before relying on either system
- For an ALPR record: check the operator’s policy for captured fields and images, retention, sharing, and who is permitted to search the data.
- For a tracker or connected vehicle: check the device or service documentation for location frequency, local versus remote storage, telemetry fields, account linkage, sharing, and controls.
- For either one: distinguish a record tied to a vehicle from proof of who was driving, and check the rules that apply in the relevant jurisdiction.
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