Should We Beware of Other License Plate Surveillance Companies Besides Flock?

NPR reports: Police officers in cities across the U.S. are quick to extol the virtues of real-time crime centers as a game changer that helps them find missing children, monitor large events from the skies and scope out dangerous scenes before putting an officer in harm's way. Hundreds of police departments have one of these central hubs, which have existed for years. But many are now being powered with AI software, such as Fusus, from the public-safety technology giant Axon... synthesizing the data it pulls in and allowing police command centers to watch an entire city from one place. Flock cameras, the automated license plate readers (ALPRs), have faced intense backlash in recent months amid stories of abuse. Yet privacy experts say they're just the tip of the iceberg when it comes to police surveillance. "I have been watching the debate about Flock with a little bit of puzzlement," says Andrew Guthrie Ferguson, a law professor at George Washington University. "Because real-time crime centers have not just ALPR cameras and sensors, but video analytics and drones and essentially a way to create a visual single-pane-of-glass vision of what's going on in a city, with time machine capabilities where you can go back and investigate crime." Tools like Axon Fusus, which is a leader in this type of software, also pull in footage and data from police body cameras, law enforcement dashcams, 911 dispatch, gunshot detectors and surveillance cameras, including sometimes those of private businesses that opt in. Its use is growing fast. In 2024, the technology news site 404 Media reported that just over 100 law enforcement agencies had deployed Fusus, which was then its own company and was acquired by Axon that year. The number of law enforcement agencies using the tool has more than doubled since then, according to Axon. Even the American Civil Liberties Union warned concerned citizens in August that "Flock is far from the only vendor," adding that "it's important to realize that its competitors aren't so great either, and that simply replacing Flock surveillance with another company's surveillance won't necessarily solve any of the privacy and other civil liberties problems posed by this mass surveillance technology." Communities can't simply assume that their residents will be better off from a privacy and civil liberties perspective by dropping Flock and replacing it with another ALPR provider, as some customers have done. They should ask hard questions about whether they really want to create that kind of a system, and if they do, ensure it doesn't function as a mass surveillance system... One of Flock's most significant competitors is Motorola. This company, which has been expanding its police technology offerings through an aggressive acquisition strategy in recent years, offers a nationwide law enforcement data sharing system similar to Flock's called the National Vehicle Location Service, operated by Motorola unit Vigilant Solutions. In addition to collecting data from law enforcement clients' cameras, it also runs a large separate commercial ALPR unit that makes deals for tow trucks and other fleet vehicles to carry cameras and collect data for Motorola as they drive around, amassing billions of plate reads (a claimed 500 million monthly, subject to no apparent data retention policy). Known as the Digital Recognition Network, that unit sells its data for commercial purposes but also makes it available to its law enforcement customers for an extra charge. Motorola tells agencies they can have "access to billions of detections beyond your own." Abandoning Flock for another system doesn't protect privacy, their article argues. "If a jurisdiction decides to allow license scanners to be installed, how that system operates is more important than which vendor provides it..." They recommend strong restrictions like data retention limits — and imposing them by law rather than in the language of contracts with vendors (which could always be renegotiated).

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