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Showing posts with label license plate tracking. Show all posts
Uber Surveillance
ALPR Surveillance Automatic License Plate Readers Flock Safety license plate tracking Mobile Surveillance Privacy Privacy Concerns Uber Surveillance

Flock Sought to Expand Surveillance Through Uber and Lyft Drivers


By using rideshare and delivery vehicles as mobile surveillance platforms, Flock Safety may be able to extend its automated license plate reader network beyond fixed roadside cameras. An overview of 404 Media's company presentation outlines a proposal which involves Uber, Lyft, and delivery drivers having dashcams equipped with license plate scanning capabilities. 

With the proposed partnership with Nexar, Flock would be able to extend its surveillance reach to approximately 350,000 vehicles by partnering with the dashcam manufacturer. In addition to cameras installed at fixed locations, the system will collect license plate data from participating vehicles as they travel through different areas, creating a more mobile and flexible coverage. 

Flock's existing network consists of large number of automatic license plate reader cameras mounted at fixed locations. Those cameras are capable of recording a vehicle's plate, color, and model at a specific point, however mobile coverage may provide additional information about the vehicle's movement beyond the camera location. The proposed expansion thus posed a wider privacy concern regarding the collection and tracking of license plate information across public roads. 

The project was of considerable scale. The presentation provided by flock stated that it could build a network of approximately 350,000 rideshare and delivery vehicles and extend its existing fixed-camera infrastructure. With this expansion, the company would be able to obtain license plate information from moving vehicles in areas where roadside cameras are not installed. Additionally, the plan leaves several questions unanswered regarding consent and disclosure. 

In the event that Uber, Lyft, delivery companies, or individual drivers were informed that dashcam footage could be used for the purpose of collecting license plate information, it is unclear whether they were informed. According to the details presented by Flock to the Georgia attorney general’s office, passengers could have been recorded without any direct notice. 

By obtaining the document through a public records request, a Georgia resident provided 404 Media with a detailed look at how the proposed system was presented to government officials. The partnership with Nexar was not implemented, according to Flock. Although the presentation indicates that the company was considering expanding its surveillance infrastructure by incorporating privately operated vehicles, it still shows that they were considering this option. Uber, Lyft and Nexar did not respond to 404 Media's requests for comment. 

The proposal comes after earlier scrutiny of the companies and their data practices. In 404 Media's previous reporting, a security breach involving Nexar resulted in the exposure of a large collection of customer footage, which included recordings of military facilities. Using leaked information, the outlet has also reported on a separate Flock project that attempted to link license plate records with individuals' identities. This initiative has been abandoned. The same model is already being used elsewhere. 

The BusPatrol system, which equips school buses with cameras and provides resulting data to law enforcement, illustrates how private surveillance systems can be integrated into larger surveillance programs. Using rideshare and delivery vehicles would have further expanded Flock's model to include a large and continuously moving fleet of delivery vehicles. 

As a result of this proposal, growing concerns have been raised regarding automated license plate surveillance, as well as the lack of transparency surrounding the collection and sharing of mobility data with law enforcement agencies.
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Technology
AI Surveillance ALPR laws biometric privacy Data Privacy Laws Flock Safety controversy license plate tracking Technology

AI-Powered License Plate Surveillance Sparks Urgent Push for Stronger Privacy Laws

 


The growing use of license plate tracking systems by companies like Flock Safety and Motorola’s VehicleManager has transformed routine drives into continuously recorded digital trails. Originally designed to capture license plate data, these systems have rapidly advanced into highly sophisticated surveillance tools. With the integration of artificial intelligence, cameras can now identify not only vehicles but also faces and other distinguishing features, silently building detailed records of individuals’ movements.

This technological shift raises an important question about the effectiveness of existing privacy protections. Laws governing surveillance vary widely across states, making it difficult to determine which frameworks are truly effective and where gaps remain.

To better understand the landscape, insights were gathered from Chad Marlow, senior policy counsel and lead for surveillance at the American Civil Liberties Union. He emphasized that meaningful privacy protection requires collective effort rather than individual action. "Collective action, rather than individual action, is required," Marlow told. He also warned, "I would caution that while Flock is the most problematic ALPR company in America, there are many other ALPR companies, like Axon and Motorola, that present serious privacy risks, so switching from Flock to Axon/Motorola ALPRs at best may constitute minimal harm reduction, but it is far from a solution."

Current legislation largely focuses on two major tools used by law enforcement: automatic license plate readers (ALPRs), which track vehicles, and drones equipped with AI-enabled cameras. Meanwhile, companies are expanding into traditional surveillance cameras capable of live monitoring and tracking individuals on the ground.

Advanced AI capabilities, such as Flock’s “Freeform” search feature, allow authorities to input open-ended queries and retrieve results from vast camera networks. These developments highlight the need for updated and comprehensive regulations. Several categories of laws are emerging as particularly impactful:

Restrictions on AI Surveillance Capabilities

Some of the most comprehensive laws limit what AI-powered cameras are allowed to detect and analyze. While not always targeting ALPRs directly, they regulate how data can be searched and used. Illinois stands out with its Biometric Information Privacy Act (BIPA), which protects sensitive identifiers like facial data and fingerprints and requires user consent. This law is so strict that certain features, such as facial recognition in consumer devices, are disabled within the state. However, many of these laws still exclude vehicle and license plate data, which often remains unprotected.

Limiting ALPR Use to Specific Investigations

Several states allow ALPR usage only under defined circumstances, such as serious criminal investigations. These restrictions prevent widespread deployment by private entities like homeowners associations or businesses and may also limit camera placement in certain public areas.

Mandatory Data Deletion Policies

One of the most effective privacy safeguards requires that collected data be deleted within a set timeframe unless tied to an active investigation. This prevents long-term tracking and profiling of individuals. As Marlow explained, "The idea of keeping a location dossier on every single person just in case one of us turns out to be a criminal is just about the most un-American approach to privacy I can imagine."

States like New Hampshire enforce extremely short data retention limits, requiring deletion within minutes if the data is not used. Others allow slightly longer windows. "For states that want a little more time to see if captured ALPR data is relevant to an ongoing investigation, keeping the data for a few days is sufficient," Marlow told me. "Some states, like Washington and Virginia, recently adopted 21-day limits, which is the very outermost acceptable limit." He further cautioned that prolonged storage makes it easier to build behavioral profiles "that can eviscerate individual privacy."

Restrictions on Data Sharing Across Jurisdictions

Certain states prohibit sharing surveillance data beyond state borders, including with federal agencies. These measures aim to limit access by organizations such as the Department of Homeland Security or ICE, though enforcing such restrictions remains a challenge. As Marlow noted, "Ideally, no data should be shared outside the collecting agency without a warrant," Marlow said, "But some states have chosen to prohibit data sharing outside of the state, which is better than nothing, and does limit some risks."

Approval and Oversight Requirements

Another approach involves requiring state-level approval before installing ALPR systems. The rigor of these processes varies significantly. For example, Vermont implemented strict approval mechanisms that ultimately discouraged adoption altogether, with no agencies using ALPR systems by 2025.

Despite these efforts, new privacy laws often face resistance from companies and law enforcement agencies, sometimes leading to legal disputes and slow enforcement. Additionally, legislative proposals frequently evolve during the approval process, making it important for citizens to stay informed and engaged.

Advocacy groups and public participation also play a critical role. Initiatives like The Plate Project encourage individuals to take part in privacy discussions and reforms. Local involvement, such as attending city council meetings, can influence decisions on surveillance technology before implementation.

Ultimately, as surveillance capabilities continue to expand, the effectiveness of privacy protections will depend on both robust legislation and active public oversight.
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