No-frills tech news

Hackers Extract Encryption Keys from Flock Surveillance Cameras, Revealing Person Detection Alongside Vehicle Tracking

Hackers have extracted encryption keys from automated license plate recognition (ALPR) cameras deployed by Flock Safety across roughly 6,000 municipalities nationwide, successfully decrypting stored data. Individuals operating under the name "stegan0gram" physically removed a Flock camera installed along a roadside and created a near-complete copy of its internal storage. Flock cameras run on a custom version of Android, with the extracted firmware showing a build date of June 5, 2025. There have also been reported cases of police chiefs abusing license plate tracking systems to stalk former romantic partners. In early 2025, security researcher Jon Gaines reverse-engineered Flock's license plate reader and documented a vulnerability that allowed root access.

Flock camera data breach: what was exposed

The Flock camera incident was a physical compromise of one deployed device, not a demonstrated breach of Flock Safety’s centralized cloud platform. The hacker collective stegan0gram said it removed the camera from above a roadway and copied much of its local storage. Flock Safety said its cloud infrastructure had never been compromised and that no customer data had been accessed or exfiltrated through a cloud attack. What the recovered Flock camera revealed The camera ran Android and contained about 20 Flock-built applications for tasks including motion detection, image capture, object classification, uploads and remote updates. The recovered key and media came from storage on a camera that had been physically removed.

East Tennessee woman seeks $10M after spending nearly 6 months in jail over AI facial-recognition error

CARTER COUNTY, Tenn. (WKRN) — Angela Lipps is seeking $10 million from the City of Fargo, North Dakota, and Fargo Police Department Detective Lucas Heck. She heard officers shouting about North Dakota but did not understand why. Lipps remained in custody for nearly six months, first in Tennessee and then in North Dakota. Her bank records showed she was in Tennessee when the North Dakota crimes occurred, according to the lawsuit. Lipps’ lawsuit alleges false arrest, malicious prosecution and violations of her constitutional rights.

Woman Jailed for Six Months After AI Linked Her to Crimes She Says She Didn't Commit Is Now Suing Police

The lawsuit accuses former Fargo Police detective Lucas Heck of relying on a facial recognition lead without doing enough to verify whether Lipps was actually the woman involved in the fraud. It also alleges the city failed to have adequate policies, training or supervision governing officers' use of facial recognition technology at the time. Then-Fargo Police Chief Dave Zibolski said detectives had wrongly assumed bank surveillance photographs had also been submitted for facial recognition analysis when they had not. Watch below: Lipps' case drew renewed attention after she filed a $10 million lawsuit over the arrest and months she spent behind bars. Fargo later tightened its facial recognition rules, including requiring supervisory review and limiting searches to approved state or federal entities.

Woman sues city, detective for $10 million over wrongful arrest tied to facial recognition error

FARGO, N.D. (KVLY/Gray News) - A woman is suing for millions of dollars, alleging that a flawed facial recognition match led to her facing bank fraud charges that were later dropped. Angela Lipps, of Elizabethton, Tennessee, filed a federal lawsuit Tuesday in U.S. District Court in North Dakota against the city of Fargo and Fargo Police Department detective Lucas Heck. Fargo police investigated the thefts, and Heck received facial recognition results from a West Fargo police analyst and North Dakota’s state intelligence center suggesting Lipps was a possible lead. According to the lawsuit, West Fargo police noted that they did not believe the facial recognition results were strong enough on their own to bring charges. Lipps is seeking $10 million in damages, along with punitive damages against Heck and attorneys’ fees, and has requested a jury trial.

Kalani Sitake deserves more national recognition for what he's built at BYU

BYU Cougars coach Kalani Sitake is everything a college football fan should. Sitake is as ingrained in BYU (and even Utah overall) as any modern coach is in any program. As the reigning National Champion coach, Sitake is closer to Cignetti than some of the bigger or well-known names on ESPN’s rankings. Which should be viewed as problematic for the established powers that all but owned college football for the last three decades. College football has seen several changes over the last five years and will continue changing.

Video Creation Platform Camtasia Launches ChatGPT Plugin To Turn Screenshots Into AI-Generated Instructional Videos

Camtasia, TechSmith’s video creation and screen recording platform, has launched a ChatGPT plugin that can transform screenshots into AI-generated instructional videos, giving users a new way to create training and tutorial content directly from a conversational workflow. The plugin introduces Camtasia’s generative screencast workflow, allowing users to upload one or more screenshots inside ChatGPT and describe the tutorial they want to create. The technology is designed to make instructional video creation more similar to working with generative AI text tools, where users can continuously refine their output through prompts instead of building every element manually. The launch extends the broader Camtasia Product Suite, which includes Camtasia Editor, Camtasia Snagit, Camtasia Audiate, Camtasia Online and Screencast. TechSmith positions the suite around screen recording, image capture, video editing and audio editing for workplace and educational content.

Tennessee woman sues Fargo, ex-detective over wrongful arrest tied to facial recognition error

Angela Lipps, of Elizabethton, Tennessee, filed the federal lawsuit Tuesday in U.S. District Court in North Dakota against the City of Fargo and former Fargo Police Department Detective Lucas Heck. Fargo police investigated the thefts, and Heck received facial recognition results from a West Fargo police analyst and North Dakota’s state intelligence center suggesting Lipps was a possible lead. The lawsuit says West Fargo police did not believe the facial recognition results were strong enough on their own to bring charges. According to the lawsuit, Lipps was arrested at gunpoint at a neighbor’s home in Tennessee on July 14, 2025, by a U.S. The suit accuses the Fargo Police Department of having no policy, training, or supervision governing officers’ use of facial recognition technology at the time, unlike the West Fargo Police Department, which restricts the tool to specially trained officers and prohibits arrests based solely on a facial recognition match.

Streamlining Complex Surface Measurements: Faro's Latest Innovations in Laser Scanning

These surface characteristics complicate laser line probe measurements, often requiring manual adjustments and slowing data collection. Challenges with Difficult Surface Finishes Laser line scanning relies on the reflection of a laser line projected on a parts surface to generate point cloud data. High reflectivity produces complex reflective patterns where the laser line can be mistaken for reflections, leading to noisy or incomplete scans. Effect on Workflow Efficiency Testing on representative challenging parts demonstrated up to a 60% reduction in time to usable scan data. Currently, DTEX development focuses on the laser line probe product line, given its specific optical configuration.

Meta Is Using Instagram Users' Photos to Build a Universal Facial Recognition System for Its Hated Smart Glasses, Class Action Lawsuit Claims

Meta told Wired in a statement that the latest “lawsuit is without merit and misrepresents our work.” As Wired first noted in June, these “faceprints” appeared in the code for the AI companion app of its smart glasses. An AI image generator Meta released called Emu was also trained on a vast swath of user-uploaded images and text. The company has a long history of mishandling sensitive user data, settling a class action lawsuit in 2020 over an entirely separate facial recognition system for $650 million. In 2024, it agreed to pay $1.4 billion to settle yet another facial recognition data lawsuit in Texas.

Chip-Scale Optical Neural Networks Accelerate Real-Time Visual Data Processing

This article reviews the mutual empowerment between artificial intelligence and metasurfaces, characterizing that artificial intelligence enables intelligent nanophotonics, while metasurfaces facilitate optical intelligence. Artificial intelligence has transformed how information is acquired, processed and utilized, with visual information playing a vital role in perception and decision-making. The authors review recent advances in the mutual empowerment of artificial intelligence and metasurfaces from two reinforcing perspectives, intelligent nanophotonics and optical intelligence. In contrast, optical intelligence, as computational paradigms that exploit light-matter interactions within metasurfaces to perform information processing tasks, comprises optical mathematical computing and optical neural networks enabled by physics-based architectures. The authors reviewed the mutual empowerment between artificial intelligence and metasurfaces, characterized by intelligent nanophotonics and optical intelligence.

Meta Scraped User Photos for Secret Smart-Glasses Tech, Class Action Claims

v. Meta Platforms, Inc., was brought by Illinois resident Francisco Alvarez, California resident Jeremy Wahl, and each man’s minor child. It centers on NameTag, an unreleased face-matching tool developed for Meta’s Ray-Ban and Oakley glasses and the Meta AI companion app. The plaintiffs allege Meta reduced faces pulled from its platforms into numerical “faceprints,” biometric templates that NameTag could match against people encountered in public. The system’s existence surfaced in June, when Wired found inactive NameTag code inside the Meta AI app, which has been downloaded more than 50 million times. The complaint alleges Meta violated the Illinois Biometric Information Privacy Act (BIPA), a state law requiring written consent before a company collects biometric data, as well as California publicity and privacy law.

SAFR Puts Biometric Privacy Control Into Focus at GSX 2026

SAFR will showcase its face-based security solutions at GSX 2026, highlighting ways organizations can strengthen access control and visibility while maintaining control over how biometric information is managed. The company said organizations are seeking ways to improve access control, increase visibility and investigate events faster. We believe they should have choices in how they deploy face-based security and manage privacy, rather than having those decisions dictated by the technology. At GSX 2026, SAFR will demonstrate its face-based security ecosystem across access control and video. SAFR will demonstrate its face-based security ecosystem at GSX 2026, taking place Sept. 14–16 in Atlanta at Booth 2051.

Meta Faces Lawsuit Over Smart Glasses Facial Recognition

According to the report, the suit alleges that Meta illegally used the plaintiffs’ Facebook and Instagram photos to develop NameTag, an unreleased face-recognition system for its smart glasses, and to train Meta AI models including Emu and Muse Image. The suit alleges that Meta violated Illinois and California privacy laws by using biometric information from people’s photos without notice or permission. The publication had reported in June that code for NameTag had been secretly integrated with the Meta glasses AI companion app. The suit alleges that they could be derived from Facebook and Instagram images. A Meta spokesperson told WIRED the suit is meritless and stressed that the company is not building a “universal” database of faces.

Meta’s smart glasses privacy defense falters when AI can use camera without recording light

Meta has spent months defending its rapidly expanding line of AI glasses by pointing to a small white light. Smart glasses can now use cameras, microphones, cloud-based AI and on-device processing to interpret what is happening around the wearer. The person standing in front of the glasses may see no recording light at all while the device’s camera answers an AI query. Tung said the government would create an expert group to examine how to regulate smart glasses and other powerful emerging technologies. ICE characterized this as enforcing an existing prohibition on personally owned recording devices, not creating an entirely new body-camera policy.

The Gourmet Gifts Launches Curated Luxury Hampers Built for Meaningful Corporate Recognition

The Gourmet Gifts has launched an expanded collection of luxury executive gift hampers, giving HR leaders and corporate teams a tangible, memorable way to show their people they matter. Thoughtful Gifting as Part of a Recognition Strategy Premium corporate gifting is not just a culture play. Gift baskets from The Gourmet Gifts are assembled with deliberate care, using premium artisan products selected for quality, presentation, and lasting appeal. About The Gourmet Gifts The Gourmet Gifts is a Canadian corporate gifting company specializing in premium, curated hampers for businesses of all sizes. Based in Toronto, the company helps organizations across Canada strengthen team culture, reward performance, and build meaningful client relationships through thoughtfully designed gift experiences.

21st TSC Civilian Recognition Ceremony [Image 17 of 53]

U.S. Army Command Sgt. Maj. Denice Malave, senior enlisted advisor, and Maj. Gen. Michael B. Lalor, commanding general, 21st Theater Sustainment Command, pose with Patrick Robert and Michael S. Amarosa, executive civilian deputy to the commanding general, after recognizing Robert for 10 years of federal service at Armstrong’s Club, Vogelweh Military Complex, Kaiserslautern, Germany, Sept. 9, 2026. Robert’s recognition commemorates 10 years of experience and dedication within the federal workforce. (U.S. Army photo by Spc. Kadence Connors)