amazon building

Orlando Police Department Ends Facial Recognition Pilot Program With Amazon

The city was never able to get the software, Rekognition, to consistently work with its video surveillance cameras over the course of 15 months.

After over a year of technical issues and public pushback, the Orlando police department has canceled its pilot program with Amazon, which allowed the city to test the company’s facial recognition software for use in police work.

The two-phase partnership to test the software, known as Rekognition, began in December 2017. Once the first phase ended in June 2018, officials were not sure if they would continue testing but eventually began the second phase in October, according to Orlando Weekly.

That second phase was set to end on July 18, the same day the Weekly reported the demise of the program. In theory, Orlando officials sought to use Rekognition to identify and track suspects in real-time using existing surveillance cameras. Police would be able to upload a photo of a face to the system and receive an alert when the software identified that person in a live surveillance stream.

They deployed the software on four cameras at police headquarters, according to the Weekly. But, despite visits from Amazon employees to City Hall to provide technical help with Rekognition, the city made very little progress on using the software for its intended purpose.

"We haven't even established a stream today. We're talking about more than a year later," Rosa Akhtarkhavari, Orlando's chief information officer, told the Weekly during the second pilot. “We've never gotten to the point to test images.”

Those issues were likely caused by the city’s lack of bandwidth for simultaneous high-definition video surveillance feeds and older cameras that did not have the right video resolution to get clear images of the volunteers participating in the testing.

The height of the cameras, which caught only the tops of the subjects’ heads rather than their faces, also posed a problem, according to the Weekly. Amazon offered to provide its own cameras to the city, but Orlando officials refused.

In a memo to the city council explaining the decision to end the program, the Chief Administrative Office said “the city was not able to dedicate the resources to the pilot to enable us to make any noticeable progress toward completing the needed configuration and testing.”

Orlando was the only city in the United States to publicly disclose that they were testing Rekognition. A sheriff’s office in Oregon is also using a variant of the software to check suspect photographs against a database of images for possible matches. Other cities, including San Francisco and Oakland, have recently voted to ban police use of facial recognition software, which researchers say is much less accurate when it comes to correctly identifying people of color and women.

Read more: Opposition to Government Use of Facial Recognition Technology Grows in Detroit

Matt Cagle, an attorney with the American Civil Liberties Union, told The Verge that the failed pilot “demonstrates why surveillance decisions should be made by the public” and not corporations working with police officials. The ACLU was the first to discover the Orlando program through public records.

“Congratulations to the Orlando Police Department for finally figuring out what we long warned—Amazon’s surveillance technology doesn’t work and is a threat to our privacy and civil liberties,” Cagle said.

There is currently no legislation on the books in Florida regulating the use of facial recognition software, and Congress has yet to pass any federal regulations on the issue. For its part, the memo said Orlando would keep an open mind to other technological innovations, but that the city has “no immediate plans regarding future pilots to explore this type of facial recognition technology.”

About the Author

Haley Samsel is an Associate Content Editor for the Infrastructure Solutions Group at 1105 Media.

Featured

  • Gaining a Competitive Edge

    Ask most companies about their future technology plans and the answers will most likely include AI. Then ask how they plan to deploy it, and that is where the responses may start to vary. Every company has unique surveillance requirements that are based on market focus, scale, scope, risk tolerance, geographic area and, of course, budget. Those factors all play a role in deciding how to configure a surveillance system, and how to effectively implement technologies like AI. Read Now

  • 6 Ways Security Awareness Training Empowers Human Risk Management

    Organizations are realizing that their greatest vulnerability often comes from within – their own people. Human error remains a significant factor in cybersecurity breaches, making it imperative for organizations to address human risk effectively. As a result, security awareness training (SAT) has emerged as a cornerstone in this endeavor because it offers a multifaceted approach to managing human risk. Read Now

  • The Stage is Set

    The security industry spans the entire globe, with manufacturers, developers and suppliers on every continent (well, almost—sorry, Antarctica). That means when regulations pop up in one area, they often have a ripple effect that impacts the entire supply chain. Recent data privacy regulations like GDPR in Europe and CPRA in California made waves when they first went into effect, forcing businesses to change the way they approach data collection and storage to continue operating in those markets. Even highly specific regulations like the U.S.’s National Defense Authorization Act (NDAA) can have international reverberations – and this growing volume of legislation has continued to affect global supply chains in a variety of different ways. Read Now

  • Access Control Technology

    As we move swiftly toward the end of 2024, the security industry is looking at the trends in play, what might be on the horizon, and how they will impact business opportunities and projections. Read Now

Featured Cybersecurity

Webinars

New Products

  • QCS7230 System-on-Chip (SoC)

    QCS7230 System-on-Chip (SoC)

    The latest Qualcomm® Vision Intelligence Platform offers next-generation smart camera IoT solutions to improve safety and security across enterprises, cities and spaces. The Vision Intelligence Platform was expanded in March 2022 with the introduction of the QCS7230 System-on-Chip (SoC), which delivers superior artificial intelligence (AI) inferencing at the edge. 3

  • Compact IP Video Intercom

    Viking’s X-205 Series of intercoms provide HD IP video and two-way voice communication - all wrapped up in an attractive compact chassis. 3

  • A8V MIND

    A8V MIND

    Hexagon’s Geosystems presents a portable version of its Accur8vision detection system. A rugged all-in-one solution, the A8V MIND (Mobile Intrusion Detection) is designed to provide flexible protection of critical outdoor infrastructure and objects. Hexagon’s Accur8vision is a volumetric detection system that employs LiDAR technology to safeguard entire areas. Whenever it detects movement in a specified zone, it automatically differentiates a threat from a nonthreat, and immediately notifies security staff if necessary. Person detection is carried out within a radius of 80 meters from this device. Connected remotely via a portable computer device, it enables remote surveillance and does not depend on security staff patrolling the area. 3