California town questions plate camera accuracy

A recent review of Flock’s license plate cameras in Roseville, California, found that the system was incorrect 71% of the time. The town’s police department discovered that out of 1,427 incidents where the cameras flagged a vehicle as stolen or used in a felony, the cameras misread the plate in 71% of cases.

The controversy surrounding Flock cameras primarily centers on privacy and fears of a surveillance state. However, the cloud-based license-plate-reading system’s accuracy and effectiveness have also drawn scrutiny.

Police in Roseville found that the cameras misread the plate in 71% of cases, resulting in over 1,000 false positives over two years. Flock attributed the errors to Roseville’s atypical camera setup, but the results could expose flaws in an already controversial technology.

Flock’s cameras, typically placed on traffic light poles and roadsides, photograph passing vehicles and analyze their characteristics, including license plates, color, make, model, and other details via machine learning.

Authorities can search the company’s cloud database for vehicles using descriptions to track their movements, which they say has helped solve crimes and find missing persons. The AI cameras process approximately 20 billion vehicle scans per month and have raised fierce debate across the US.

Communities across the country have deactivated their cameras since last year out of concerns about state surveillance, but some towns, including Roseville, are also dealing with the system’s blind spots. In Roseville, a police supervisor joked about memorizing one driver’s license plate because Flock’s cameras misread it at least six times.

This is more likely to happen if a camera takes a blurry image or if the license plate is obscured by a tree or license plate frame. Roseville configured the cameras to only capture vehicles from behind, which Flock says makes them less accurate.

False positives did not lead to traffic stops or arrests because Roseville officers must verify each report, which is not required in California. Meanwhile, the LAPD recently let its contract with Flock expire after an internal audit found that 161 innocent people were pulled over in a two-month span.

Outdated or inaccurate data from other jurisdictions was cited as a primary cause. Critics have also pointed out that, despite license-plate reading being their primary function, the AI cameras can also analyze and track people on foot. Police have searched the database for people based on extremely vague descriptions, and numerous officers have been caught using the system to stalk ex-partners.

As the use of Flock’s cameras continues to spark debate, the company will face increased scrutiny over the accuracy and effectiveness of its technology. With the potential for misuse and abuse of the system, it is essential to carefully consider the implications of implementing such technology in communities across the US.