Flock license plate readers: Difference between revisions

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While Flock Safety claims their system doesn't violate Fourth Amendment rights because ''"license plates are not personal information,"''<ref name="Flock-PE">{{Cite web|url=https://www.flocksafety.com/privacy-ethics|title=Privacy & Ethics|work=Flock Safety|access-date=2025-08-23|archive-url=https://archive.ph/OP55p|archive-date=2025-08-23|url-status=live}}</ref> federal courts have challenged this interpretation. In February 2024, a federal judge ruled that a lawsuit challenging Norfolk, Virginia's use of 172 Flock cameras could proceed, finding that plaintiffs had plausibly alleged the system creates a ''"detailed chronicle of a person's physical presence compiled every day."''<ref name="norfolk">{{Cite web |last=King |first=Dan |date=2024-02-06 |title=Judge Rules Lawsuit Challenging Norfolk's Use of Flock Cameras Can Proceed |url=https://ij.org/press-release/judge-rules-lawsuit-challenging-norfolks-use-of-flock-cameras-can-proceed/ |url-status=live |archive-url=https://web.archive.org/web/20250717001536/https://ij.org/press-release/judge-rules-lawsuit-challenging-norfolks-use-of-flock-cameras-can-proceed/ |archive-date=17 Jul 2025 |access-date=2025-08-23 |work=Institute for Justice}}</ref>

Data collected includes location history that can reveal sensitive information about medical visits, religious attendance, political activities, and personal associations. While Flock states data is deleted after 30 days, contracts grant them ''"perpetual, worldwide, royalty-free license"'' to use anonymized data indefinitely.<ref>{{Cite web |title=Terms and Conditions |url=https://www.flocksafety.com/terms-and-conditions |url-status=live |archive-url=https://archive.ph/DSqUM |archive-date=26 Oct 2025 |access-date=2025-08-23 |work=Flock Safety}}</ref> The system shares data across a network of over 4,800 law enforcement agencies nationally.<ref>{{Cite web|url=https://www.404media.co/lawsuit-argues-warrantless-use-of-flock-surveillance-cameras-is-unconstitutional/|~~title~~=~~Lawsuit Argues Warrantless Use of Flock Surveillance Cameras Is Unconstitutional~~|~~work~~=~~404 Media~~|date=~~2024~~|access-date=2025-08-23}}</ref>

Data collected includes location history that can reveal sensitive information about medical visits, religious attendance, political activities, and personal associations. While Flock states data is deleted after 30 days, contracts grant them ''"perpetual, worldwide, royalty-free license"'' to use anonymized data indefinitely.<ref name=":1">{{Cite web |title=Terms and Conditions |url=https://www.flocksafety.com/terms-and-conditions |url-status=live |archive-url=https://archive.ph/DSqUM |archive-date=26 Oct 2025 |access-date=2025-08-23 |work=Flock Safety}}</ref> The system shares data across a network of over 4,800 law enforcement agencies nationally.<ref>{{Cite web |last=Koebler |first=Jason |date=2024 |title=Lawsuit Argues Warrantless Use of Flock Surveillance Cameras Is Unconstitutional |url=https://www.404media.co/lawsuit-argues-warrantless-use-of-flock-surveillance-cameras-is-unconstitutional/ |url-status=live |archive-url=https://web.archive.org/web/20250826013458/https://www.404media.co/lawsuit-argues-warrantless-use-of-flock-surveillance-cameras-is-unconstitutional/ |archive-date=26 Aug 2025 |access-date=2025-08-23 |work=404 Media}}</ref>

====="Anonymized Data"=====

While Flock's Terms and Conditions define "Anonymized Data" as customer data that is ''"permanently stripped of identifying details and any potential personally identifiable information"'' and is rendered so that a person or entity ''"can no longer be identified directly or indirectly,"'' this definition includes information such as vehicle make, model, color, location patterns, and other non–license-plate attributes.<ref~~>{{cite web |date~~=~~2025-07-22 |title=Terms and Conditions |url=https~~:/~~/www.flocksafety.com/legal/terms-and-conditions |access-date=2025-08-23 |website=Flock Safety}}</ref~~>

While Flock's Terms and Conditions define "Anonymized Data" as customer data that is ''"permanently stripped of identifying details and any potential personally identifiable information"'' and is rendered so that a person or entity ''"can no longer be identified directly or indirectly,"'' this definition includes information such as vehicle make, model, color, location patterns, and other non–license-plate attributes. <ref name=":1" />

Privacy researchers caution that mobility datasets labeled as "anonymized" can still be re-identified. A 2013 MIT study found that just four spatio-temporal points uniquely identified 95% of individuals in an anonymized location dataset.<ref>{{cite journal |last=de Montjoye |first=Y.-A. |last2=Hidalgo |first2=C. A. |last3=Verleysen |first3=M. |last4=Blondel |first4=V. D. |year=2013 |title=Unique in the Crowd: The privacy bounds of human mobility |url=https://www.nature.com/articles/srep01376 |journal=Scientific Reports |volume=3 |pages=1376 |doi=10.1038/srep01376 |access-date=2025-08-23}}</ref> Multiple peer-reviewed studies from 2018-2024 demonstrate that "anonymized" vehicle location data can be re-identified with high accuracy. A 2022 study showed researchers could re-identify drivers from raw vehicle network data with 97% accuracy by exploiting interdependencies in sensor measurements.<ref>{{cite web|url=https://www.sciencedirect.com/science/article/abs/pii/S0167404822002139|title=Privacy-preserving vehicle trajectory matching|website=ScienceDirect|date=2022|access-date=2025-10-05}}</ref> Research published in the Journal of Computer Science and Technology (2022) found that even 3-4 location points can uniquely identify individuals.<ref>{{cite journal|url=https://link.springer.com/article/10.1007/s11390-022-2409-x~~|title=Experiments and Analyses of Anonymization Mechanisms for Trajectory Data Publishing~~|journal=Journal of Computer Science and Technology|~~date~~=~~2022~~|access-date=2025-10-05}}</ref>

Privacy researchers caution that mobility datasets labeled as "anonymized" can still be re-identified. A 2013 MIT study found that just four spatio-temporal points uniquely identified 95% of individuals in an anonymized location dataset.<ref>{{cite journal |last=de Montjoye |first=Y.-A. |last2=Hidalgo |first2=C. A. |last3=Verleysen |first3=M. |last4=Blondel |first4=V. D. |year=2013 |title=Unique in the Crowd: The privacy bounds of human mobility |url=https://www.nature.com/articles/srep01376 |journal=Scientific Reports |volume=3 |pages=1376 |doi=10.1038/srep01376 |access-date=2025-08-23}}</ref> Multiple peer-reviewed studies from 2018-2024 demonstrate that "anonymized" vehicle location data can be re-identified with high accuracy. A 2022 study showed researchers could re-identify drivers from raw vehicle network data with 97% accuracy by exploiting interdependencies in sensor measurements.<ref>{{cite web|url=https://www.sciencedirect.com/science/article/abs/pii/S0167404822002139|title=Privacy-preserving vehicle trajectory matching|website=ScienceDirect|date=2022|access-date=2025-10-05}}</ref> Research published in the Journal of Computer Science and Technology (2022) found that even 3-4 location points can uniquely identify individuals.<ref>{{cite journal |last=Sun |first=She |last2=Ma |first2=Shuai |last3=Song |first3=Jing-He |last4=Yue |first4=Wen-Hai |last5=Lin |first5=Xue-Lian |last6=Ma |first6=Tiejun |date=2022 |title=Experiments and Analyses of Anonymization Mechanisms for Trajectory Data Publishing |url=https://link.springer.com/article/10.1007/s11390-022-2409-x |journal=Journal of Computer Science and Technology |doi=10.1007/s11390-022-2409-x |access-date=2025-10-05}}</ref>

====Business model====

@@ Line 22: / Line 22: @@
 While Flock Safety claims their system doesn't violate Fourth Amendment rights because ''"license plates are not personal information,"''<ref name="Flock-PE">{{Cite web|url=https://www.flocksafety.com/privacy-ethics|title=Privacy & Ethics|work=Flock Safety|access-date=2025-08-23|archive-url=https://archive.ph/OP55p|archive-date=2025-08-23|url-status=live}}</ref> federal courts have challenged this interpretation. In February 2024, a federal judge ruled that a lawsuit challenging Norfolk, Virginia's use of 172 Flock cameras could proceed, finding that plaintiffs had plausibly alleged the system creates a ''"detailed chronicle of a person's physical presence compiled every day."''<ref name="norfolk">{{Cite web |last=King |first=Dan |date=2024-02-06 |title=Judge Rules Lawsuit Challenging Norfolk's Use of Flock Cameras Can Proceed |url=https://ij.org/press-release/judge-rules-lawsuit-challenging-norfolks-use-of-flock-cameras-can-proceed/ |url-status=live |archive-url=https://web.archive.org/web/20250717001536/https://ij.org/press-release/judge-rules-lawsuit-challenging-norfolks-use-of-flock-cameras-can-proceed/ |archive-date=17 Jul 2025 |access-date=2025-08-23 |work=Institute for Justice}}</ref>
-Data collected includes location history that can reveal sensitive information about medical visits, religious attendance, political activities, and personal associations. While Flock states data is deleted after 30 days, contracts grant them ''"perpetual, worldwide, royalty-free license"'' to use anonymized data indefinitely.<ref>{{Cite web |title=Terms and Conditions |url=https://www.flocksafety.com/terms-and-conditions |url-status=live |archive-url=https://archive.ph/DSqUM |archive-date=26 Oct 2025 |access-date=2025-08-23 |work=Flock Safety}}</ref> The system shares data across a network of over 4,800 law enforcement agencies nationally.<ref>{{Cite web|url=https://www.404media.co/lawsuit-argues-warrantless-use-of-flock-surveillance-cameras-is-unconstitutional/|title=Lawsuit Argues Warrantless Use of Flock Surveillance Cameras Is Unconstitutional|work=404 Media|date=2024|access-date=2025-08-23}}</ref>
+Data collected includes location history that can reveal sensitive information about medical visits, religious attendance, political activities, and personal associations. While Flock states data is deleted after 30 days, contracts grant them ''"perpetual, worldwide, royalty-free license"'' to use anonymized data indefinitely.<ref name=":1">{{Cite web |title=Terms and Conditions |url=https://www.flocksafety.com/terms-and-conditions |url-status=live |archive-url=https://archive.ph/DSqUM |archive-date=26 Oct 2025 |access-date=2025-08-23 |work=Flock Safety}}</ref> The system shares data across a network of over 4,800 law enforcement agencies nationally.<ref>{{Cite web |last=Koebler |first=Jason |date=2024 |title=Lawsuit Argues Warrantless Use of Flock Surveillance Cameras Is Unconstitutional |url=https://www.404media.co/lawsuit-argues-warrantless-use-of-flock-surveillance-cameras-is-unconstitutional/ |url-status=live |archive-url=https://web.archive.org/web/20250826013458/https://www.404media.co/lawsuit-argues-warrantless-use-of-flock-surveillance-cameras-is-unconstitutional/ |archive-date=26 Aug 2025 |access-date=2025-08-23 |work=404 Media}}</ref>
 ====="Anonymized Data"=====
-While Flock's Terms and Conditions define "Anonymized Data" as customer data that is ''"permanently stripped of identifying details and any potential personally identifiable information"''  and is rendered so that a person or entity ''"can no longer be identified directly or indirectly,"'' this definition includes information such as vehicle make, model, color, location patterns, and other non–license-plate attributes.<ref>{{cite web |date=2025-07-22 |title=Terms and Conditions |url=https://www.flocksafety.com/legal/terms-and-conditions |access-date=2025-08-23 |website=Flock Safety}}</ref>
+While Flock's Terms and Conditions define "Anonymized Data" as customer data that is ''"permanently stripped of identifying details and any potential personally identifiable information"''  and is rendered so that a person or entity ''"can no longer be identified directly or indirectly,"'' this definition includes information such as vehicle make, model, color, location patterns, and other non–license-plate attributes. <ref name=":1" />
-Privacy researchers caution that mobility datasets labeled as "anonymized" can still be re-identified. A 2013 MIT study found that just four spatio-temporal points uniquely identified 95% of individuals in an anonymized location dataset.<ref>{{cite journal |last=de Montjoye |first=Y.-A. |last2=Hidalgo |first2=C. A. |last3=Verleysen |first3=M. |last4=Blondel |first4=V. D. |year=2013 |title=Unique in the Crowd: The privacy bounds of human mobility |url=https://www.nature.com/articles/srep01376 |journal=Scientific Reports |volume=3 |pages=1376 |doi=10.1038/srep01376 |access-date=2025-08-23}}</ref> Multiple peer-reviewed studies from 2018-2024 demonstrate that "anonymized" vehicle location data can be re-identified with high accuracy. A 2022 study showed researchers could re-identify drivers from raw vehicle network data with 97% accuracy by exploiting interdependencies in sensor measurements.<ref>{{cite web|url=https://www.sciencedirect.com/science/article/abs/pii/S0167404822002139|title=Privacy-preserving vehicle trajectory matching|website=ScienceDirect|date=2022|access-date=2025-10-05}}</ref> Research published in the Journal of Computer Science and Technology (2022) found that even 3-4 location points can uniquely identify individuals.<ref>{{cite journal|url=https://link.springer.com/article/10.1007/s11390-022-2409-x|title=Experiments and Analyses of Anonymization Mechanisms for Trajectory Data Publishing|journal=Journal of Computer Science and Technology|date=2022|access-date=2025-10-05}}</ref>
+Privacy researchers caution that mobility datasets labeled as "anonymized" can still be re-identified. A 2013 MIT study found that just four spatio-temporal points uniquely identified 95% of individuals in an anonymized location dataset.<ref>{{cite journal |last=de Montjoye |first=Y.-A. |last2=Hidalgo |first2=C. A. |last3=Verleysen |first3=M. |last4=Blondel |first4=V. D. |year=2013 |title=Unique in the Crowd: The privacy bounds of human mobility |url=https://www.nature.com/articles/srep01376 |journal=Scientific Reports |volume=3 |pages=1376 |doi=10.1038/srep01376 |access-date=2025-08-23}}</ref> Multiple peer-reviewed studies from 2018-2024 demonstrate that "anonymized" vehicle location data can be re-identified with high accuracy. A 2022 study showed researchers could re-identify drivers from raw vehicle network data with 97% accuracy by exploiting interdependencies in sensor measurements.<ref>{{cite web|url=https://www.sciencedirect.com/science/article/abs/pii/S0167404822002139|title=Privacy-preserving vehicle trajectory matching|website=ScienceDirect|date=2022|access-date=2025-10-05}}</ref> Research published in the Journal of Computer Science and Technology (2022) found that even 3-4 location points can uniquely identify individuals.<ref>{{cite journal |last=Sun |first=She |last2=Ma |first2=Shuai |last3=Song |first3=Jing-He |last4=Yue |first4=Wen-Hai |last5=Lin |first5=Xue-Lian |last6=Ma |first6=Tiejun |date=2022 |title=Experiments and Analyses of Anonymization Mechanisms for Trajectory Data Publishing |url=https://link.springer.com/article/10.1007/s11390-022-2409-x |journal=Journal of Computer Science and Technology |doi=10.1007/s11390-022-2409-x |access-date=2025-10-05}}</ref>
 ====Business model====