Technology
Facial recognition jails innocent grandmother, attorney says
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Angela Lipps says she has never been to North Dakota. She says she had never even been on an airplane. That didn’t stop the U.S. marshals from showing up at her home in Tennessee and arresting her.
Lipps, a 50-year-old grandmother of five from Elizabethton, Tennessee, was taken into custody in July 2025 in connection with a bank fraud case more than 1,000 miles away in Fargo, North Dakota. She was not released until around Christmas Eve, meaning she spent more than five months in custody before the case was dismissed.
Investigators had used facial recognition software to compare surveillance images from the bank fraud case with photos of Lipps from her driver’s license and social media. The result, according to her defense attorney, was a case that never should have gone this far.
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HOW SURVEILLANCE TECH LED POLICE TO ACCUSE THE WRONG PERSON
A Tennessee grandmother says a facial recognition match helped lead to her arrest in a North Dakota bank fraud case. (Fargo Police Department)
How facial recognition led police to Angela Lipps
The case began with bank fraud reports in Fargo and nearby West Fargo. Police were looking for a suspect who allegedly used a false military ID to take money from accounts.
Detectives reviewed surveillance footage and used facial recognition technology to search for a possible match. Then-Fargo Police Chief Dave Zibolski has described the tool as “an AI function through the North Dakota State Intelligence Center.”
Jay Greenwood, the Fargo defense attorney appointed to represent Lipps, joined our “CyberGuy Report” podcast at CyberGuyPodcast.com to explain how a facial recognition lead helped set the case in motion. His warning was simple: police can use facial recognition as a tool, but they still need to verify what the technology claims. Greenwood said the images used in the case were not exactly crystal clear.
“They had security footage of some terribly placed security cameras from above,” Greenwood said. “And they had a couple of still images, poor still images from these cameras that they sent to a company to do facial recognition.”
That search pointed investigators to Lipps. Greenwood said detectives then looked at her social media pages and moved forward with the case. “They did not do any other investigation prior to her arrest in bringing her to North Dakota,” Greenwood said. Police then sought an arrest warrant. Lipps was arrested in Carter County, Tennessee, and held as a fugitive from justice.
Grandmother arrested at gunpoint while babysitting
Lipps says U.S. marshals arrested her at gunpoint while she was babysitting young children. She was taken to a local jail in Elizabethton, Tennessee, while she waited to be extradited to North Dakota.
Greenwood said Lipps told authorities from the beginning that she had never been to North Dakota. “She told them I’d never been to North Dakota. I’ve never been on an airplane,” Greenwood said. “She really doesn’t leave the 100- to 200-mile radius of Elizabethton ever.”
Still, Lipps remained in jail for months. Fargo Police Chief Travis Stefonowicz told CyberGuy that the department’s review found Lipps was arrested in Tennessee on July 14, 2025, and held on a probation violation.
“Tennessee authorities notified the Cass County Sheriff’s Office on October 20, 2025, that Ms. Lipps had a waiver of extradition to North Dakota and was available for transport to the Cass County Jail,” Stefonowicz said.
Stefonowicz said Fargo Police could not determine from available information why Lipps remained in Tennessee custody for as long as she did before being transported to North Dakota.
“We have been unable to determine based on available information if the length of time Ms. Lipps was in jail in Tennessee before being transported to North Dakota was due to serving time for a probation violation or if it was because she fought extradition,” Stefonowicz said.
Greenwood said she fought extradition and waited in Tennessee before she was taken to North Dakota around Halloween. “Gave her her first ever plane ticket, ever plane ride,” Greenwood said. “And she spent it in custody, flying to North Dakota.”
A woman who says she had never flown before got her first plane ride in custody, headed to fight charges in a state she says she had never visited.
Fargo police respond to facial recognition concerns
Stefonowicz was appointed interim chief on March 30 after former Chief Dave Zibolski retired on March 27. Fargo Police said Zibolski’s retirement was family-related and unrelated to this case. Stefonowicz was officially selected as Fargo’s next police chief during the Fargo City Commission meeting on May 11.
In a statement to CyberGuy, Stefonowicz said the arrest warrant reflected that prosecutors and a judge had found probable cause.
“The Fargo Police Department takes the civil rights and due process of all individuals involved in our investigations very seriously. Regarding the case of Ms. Lipps, the issuance of an arrest warrant indicated that the Cass County State’s Attorney and a judge determined probable cause existed for the charges,” Stefonowicz said.
He said the charges were dismissed without prejudice, meaning they could be refiled if additional investigation supports doing so.
“This remains an ongoing investigation, and we are still working to verify and corroborate information to determine, definitively, who was and was not involved in this home equity loan bank fraud scheme,” Stefonowicz said.
Fargo Police also clarified that the department does not own facial recognition technology or contract directly with vendors that provide it.
“However, there are state and national law enforcement intelligence centers that incorporate facial recognition technology and are used by agencies across the country, including in our state,” Stefonowicz said. “On occasion, FPD investigators may submit inquiries to those intelligence centers, in order to help generate leads through facial recognition for potential suspects or persons of interest in local investigations.”
That distinction matters. Fargo Police says it does not run facial recognition in-house, but investigators may still use outside intelligence centers to generate leads. That puts the focus back on what guardrails exist before those leads support an arrest.
That response adds an important caveat. Lipps’ defense says she was wrongly accused and later cleared by basic records. Fargo Police say the case remains open and investigators are still trying to determine who was involved.
AMAZON ADDS CONTROVERSIAL AI FACIAL RECOGNITION TO RING
Lipps says she lost her home, car, reputation and dog after spending months behind bars in a case tied to facial recognition technology. (Antranik Tavitian/Bloomberg via Getty Images)
Basic records helped clear Angela Lipps
Once Greenwood got involved, he started looking for proof of where Lipps had been during the alleged bank fraud. The answer came from everyday records. Her family sent bank records showing activity near her home in Tennessee during the same period Fargo authorities claimed she was in North Dakota.
The records showed her depositing Social Security checks and making local purchases. “She was in Elizabethton and the surrounding communities depositing her Social Security checks,” Greenwood said. “Buying Ubers, cigarettes, gas, all that stuff.”
Greenwood said he forwarded the records to the state’s attorney. After a police interview, the case was dismissed. Lipps was released on Christmas Eve.
Fargo Police gave CyberGuy a more detailed timeline. Stefonowicz said Lipps made her first court appearance in North Dakota on Oct. 31, 2025, but the detective assigned to the case did not learn she was in custody in North Dakota until Dec. 5.
“Because she had legal representation, attorney consent was required before our detectives could interview her,” Stefonowicz said. “An interview was first granted by Ms. Lipps’s defense attorney on December 19, 2025.”
After that interview, Stefonowicz said Fargo Police determined that further investigation was needed.
“On December 23, 2025, the FPD detective, the Cass County State’s Attorney and the presiding judge mutually agreed to dismiss the charges without prejudice to allow for additional investigation,” Stefonowicz said. “Ms. Lipps was subsequently released from the Cass County Jail on December 24, 2025.”
By then, she says the damage was already done. She says she lost her home, her car, her reputation and her dog while she was locked up.
Fargo police adopted a facial recognition policy
Fargo Police said it conducted a comprehensive internal review after the case. Stefonowicz said former Chief Dave Zibolski addressed the investigation at a March 24 news conference.
“With respect to this case, we have conducted a comprehensive internal review,” Stefonowicz said. “During a news conference on March 24, former Chief of Police Dave Zibolski addressed areas where our initial investigation could have been more complete and emphasized that further work is required to fully understand who was and was not involved in this scheme.”
Fargo Police has since adopted a formal facial recognition technology policy. Stefonowicz said the department did not previously have a standalone policy because Fargo Police does not conduct facial recognition analysis, provide that service to other agencies or maintain in-house facial recognition technology.
“We have since adopted a formal policy for facial recognition technology (FRT) use for our agency,” Stefonowicz said.
He said the case prompted Fargo Police leadership to revisit that approach.
“This case has prompted FPD leadership to re-evaluate that approach related to having a specific FRT policy,” Stefonowicz said. “FPD Policy 610, which formally establishes parameters and expectations for the use of FRT, was published as of Wednesday, March 25.”
That policy change matters because it shows the case prompted Fargo Police to formalize how investigators may use facial recognition leads, even when the department does not run the technology itself.
Why facial recognition mistakes are so dangerous
Facial recognition can help generate leads. However, critics warn that it can also produce false matches, especially when image quality is poor or the system compares faces against massive databases.
Some systems pull from public photos online, including social media images and other public-facing photos. That means many people may appear in search databases without realizing it.
Greenwood said police need to treat the technology as one investigative tool, not a shortcut around basic detective work.
“I’ve told numerous people, like, it’s a tool,” Greenwood said. “It should be one of the tools that law enforcement can use.”
Then he explained what needs to happen next. “They’ve got to learn to use the other tools to verify what they’re being told by this machine,” Greenwood said.
That is the key issue. A facial recognition hit should push investigators to ask more questions. It should never end the conversation.
Other facial recognition wrongful arrest cases
Angela Lipps is not the first person to say facial recognition helped put them in handcuffs. Other cases have involved people wrongfully arrested after software produced a mistaken match. Civil liberties groups have also warned that facial recognition systems can perform worse on some groups, including darker-skinned men and women.
That raises a serious question for every police department using this technology. What safeguards exist before a person gets arrested? A bad match on a screen can turn into a search warrant and jail time. For Lipps, that risk became painfully real.
9 ONLINE PRIVACY RISKS YOU PROBABLY DON’T KNOW ABOUT
The Federal Building and U.S. Courthouse in Fargo, North Dakota, is pictured next to Angela Lipps’ mugshot. Lipps, a Tennessee grandmother, says she spent more than five months in custody after facial recognition linked her to a North Dakota bank fraud case. (Carol M. Highsmith/Buyenlarge via Getty Images / Fargo Police Department)
Ways to stay safe from facial recognition mistakes
Most people will never face anything like this. Still, the Lipps case shows how your digital footprint can follow you in ways you may never expect.
1) Say nothing until you speak with a lawyer
If law enforcement contacts you about something you did not do, do not try to talk your way out of it. Stay calm and ask for an attorney. Even innocent people can say something that gets misunderstood.
2) Keep records that show where you were
Bank transactions, receipts, phone location records, work schedules and medical appointments can help establish where you were on a certain date. You do not need to track every moment of your life. However, basic digital records can help if a serious mistake ever happens.
3) Review your public photos online
Check what photos you post publicly. Also, look at tagged photos from friends and family. Your face can appear online even when you did not post the picture yourself.
4) Remove personal information from data broker sites
Data broker sites collect and sell personal details. A data removal service can help remove your information from these databases. You can also do it manually, but it takes time, and the information can reappear. Check out my top picks for data removal services and get a free scan to find out if your personal information is already out on the web by visiting CyberGuy.com.
5) Ask police and lawmakers about police AI rules
Your city or state may already use facial recognition tools. Ask what rules police must follow before they use an AI match in a criminal case. At a minimum, departments should require independent evidence before an arrest.
What facial recognition mistakes mean for you
AI can help investigators move faster, but speed creates risk when people skip basic steps. Police still need records, timelines and common sense. Facial recognition can make mistakes. It can misread poor images. It can point to the wrong person. And when that happens, the consequences do not stay on a screen. They show up at someone’s front door.
Kurt’s key takeaways
This case should make every police department pause. Facial recognition may help find leads, but it should never be enough to upend someone’s life. Angela Lipps says she lost months behind bars for a crime she did not commit in a state she had never visited. Her attorney says basic records later helped prove she was in Tennessee. That should have happened before spending months in jail. Greenwood summed up the case this way: “Ridiculous case never should have happened.” Technology can help police solve crimes. But when a computer match replaces real detective work, innocent people can pay the price. For the full conversation with Angela Lipps’ defense attorney and more on how this case unfolded, listen to the “CyberGuy Report” podcast at CyberGuyPodcast.com.
If a facial recognition match can help send a grandmother to jail, what guardrails should every police department be forced to follow before someone loses their freedom? Let us know by writing to us at CyberGuy.com.
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Copyright 2026 CyberGuy.com. All rights reserved.
NBCUniversal executives are about to find out whether Peacock will sink or swim in the streaming industry. Now that Comcast is planning to split NBCUniversal, Peacock, and Sky from its broadband and wireless businesses, Peacock will be forced to stand on its own — without the backing of a combined company that pulled in more than $123 billion last year.
In the years following its launch in 2020, Peacock was treated as an accessory to an Xfinity subscription. But once Xfinity stopped offering it as a perk and axed its free membership tier in 2023, it was a sign that Comcast believed Peacock had something worth paying for. But even with exclusive streams of the Olympics and live sports, like Sunday Night Football and the Big Ten games, Peacock still trails behind rival streamers today.
Peacock grew by just five million subscribers between March 2025 and March 2026, bringing it up to 46 million. Netflix’s more than 325 million subscribers easily eclipse Peacock’s user base. Even Disney Plus’s 132 million subscribers and HBO Max’s more than 140 million viewers make Peacock seem small in comparison. Part of that is because, unlike other major streamers, Peacock is only available in the US. Comcast co-CEO Mike Cavanagh said in March that the company doesn’t have plans for a global rollout of Peacock, but that may change as the soon-to-be standalone service scrambles for scale.
It’s also taking longer for Peacock to hop the hurdle of profitability — one of the biggest challenges for streamers. Peacock reported $2 billion in revenue in the first quarter of 2026. However, it experienced $432 million in losses, an increase from the $215 million it reported losing at the same time last year. But NBCUniversal media chairman Matt Strauss claims Peacock will become profitable in the current quarter, according to Deadline. “There’s not one way to approach a streaming strategy or market,” Strauss said during the Evercore Global TMT Conference last month. “Sometimes you have to play to your strengths, which is what we’ve been doing.”
It’s not clear how long Peacock can rely on live sports and reality TV to keep its service afloat. The service canceled its hit series Poker Face last year, leaving it without a tentpole series that makes Peacock worth subscribing to, like Severance on Apple TV or White Lotus on HBO Max. Though Comcast co-CEO Brian Roberts and Cavanagh told investors that the company’s split isn’t a setup for a merger or acquisition, it still seems like a possibility.
Peter Supino, a Wolfe Research analyst, said that he expects “one or both Comcast units to merge with peers or competitors,” according to The Hollywood Reporter. Media executives who spoke to Oliver Darcy for his Status newsletter are similarly doubtful about Roberts’ and Cavanagh’s M&A denials, with some insiders speculating that Netflix could make a bid for NBCUniversal’s assets. Either way, Peacock will need to do something more than just tread water, or else a competitor may just have to keep it from sinking.
Would you pay $20 a month for access to AI hardware you already own? That appears to be one of Meta’s next bets. This week, it quietly announced that your glasses’ Conversation Focus feature will soon be limited to three hours of use per month, unless you pay for a $19.99 Meta One Premium subscription.
In a help article, the company insists that it won’t require a subscription to use your glasses, period; it’s merely erecting a “rate limit” for certain AI features. Even premium subscribers will only get 15 hours of Conversation Focus per month under that “rate limit,” it claims.
Problem is, Meta’s rate limit is ridiculous. The Conversation Focus feature, which amplifies the voice of the person you’re speaking to so you can hear better in noisy environments, is not something that should plausibly be rate-limited, because it doesn’t use Meta’s servers. It runs on-device, using the chips inside the glasses that you’ve already purchased. I turned off my internet, and it kept working.
Here’s how the company introduced it last year: “[C]onversation focus uses your AI glasses’ open-ear speakers, beamforming technology, and real-time spatial processing to dynamically amplify the voice of the person you’re talking to.”
Not only does it avoid Meta’s servers, but Conversation Focus doesn’t technically require an internet connection at all. I double-checked by turning off my phone’s Wi-Fi and cellular, turning on Airplane Mode, and I was still able to use Conversation Focus just fine by tapping a button on my phone.
Does Meta have some secret licensing deal with another company that costs it money every time a person uses Conversation Focus? Failing that, the rate limit sounds utterly bogus.
We’ve asked if Meta can explain the move, and whether the company plans to put other on-device features behind a subscription. Meta didn’t immediately respond to a request for comment.
TRANSFORMATION: AI changes what robots can accomplish
Humanoid robots, showcased at Chicago’s Automate Show, demonstrate advancements in AI and robotics. Jeff Burnstein, President of the Association for Advancing Automation, explains AI’s role in enabling diverse tasks in hospitals, factories, and warehouses. He emphasizes that robotics boosts competitiveness, leading to job creation.
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A busy warehouse loading dock can be a grind. Trucks pull up. Packages pour in. Workers have to move fast, lift heavy boxes and keep everything flowing before the next trailer arrives. That part of the warehouse has always been one of the hardest places to automate. Every box can be a different size. Freight can shift in transit. Labels may face the wrong way. And when one system finishes a task, the next system still has to know what to do with the package.
Now, Ambi Robotics and Pickle Robot Company say they have linked their robotic systems to help solve that handoff problem. The companies announced a commercial integration that connects Pickle Robot’s trailer-unloading robots with Ambi Robotics’ AmbiStack pallet-building system. In other words, one robot system unloads mixed freight from a trailer. Then a conveyor moves those cases downstream so another robotic system can scan and stack them for warehouse receiving.
If this works well in large facilities, it points to a future where robots can handle more of the work that happens between a truck and a warehouse floor.
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OHIO ROBOT COP RETIRES AFTER ZERO ARRESTS
Ambi Robotics and Pickle Robot Company have integrated their warehouse robotics systems to automate the flow of freight from trailers to pallets. The companies say the setup can fit into existing warehouse operations. (Ambi Robotics and Pickle Robot Company )
How warehouse robots move packages from truck to pallet
The setup starts at the trailer. Pickle Robot’s system unloads boxes from trailers or containers. That matters because unloading mixed freight can be exhausting work. It also creates bottlenecks when warehouses do not have enough people on the dock. From there, the packages move by conveyor into AmbiStack. Ambi Robotics designed AmbiStack as a multipurpose stacking system. It reads package information and builds pallets for the next stage of the warehouse process.
The key here is the handoff. Many warehouses already use automation. However, those systems often work in separate lanes. One machine may handle unloading. Another may handle sorting or stacking. Yet the warehouse still needs people or custom engineering to connect the pieces. This collaboration tries to make that connection smoother. The companies say the system can work with existing warehouse infrastructure. That means operators may avoid tearing apart a facility to use it.
Why Physical AI is important for warehouse automation
Physical AI means AI that controls machines doing physical work. That is important here because warehouse robots have to deal with moving boxes, shifting freight, conveyor timing and pallet stability. That creates a very different challenge from software that writes a paragraph or answers a question. A warehouse robot has to react to what sits in front of it. A box can arrive dented. A label can face the wrong way. A pallet can become unstable if the next case goes in the wrong spot.
This Ambi Robotics and Pickle Robot integration shows how that can work inside a warehouse. Pickle Robot handles the trailer unloading. AmbiStack takes over downstream by scanning and stacking cases for receiving. Together, the systems show how specialized robots can connect across a warehouse workflow.
“Warehouse operators shouldn’t have to choose between best-in-class technologies and seamless integration,” said Jim Liefer, CEO of Ambi Robotics. “As Physical AI transforms supply chains, interoperability will become increasingly important.”
AJ Meyer, founder and CEO of Pickle Robot Company, put the customer demand more directly: “Customers want automation that improves real-world throughput while fitting into existing operations.”
AI MAY SPOT DEADLY HEART RISK IN A ROUTINE ECG
A new warehouse automation system connects robotic trailer unloading with AI-powered pallet building, reducing manual handoffs on busy loading docks. (Ambi Robotics and Pickle Robot Company )
Why loading docks can slow warehouse operations
Anyone who has waited on a delayed package knows the supply chain can break down fast. Sometimes the problem starts long before a delivery truck reaches your home. Inbound logistics covers the work that happens when goods arrive at a warehouse. That includes getting boxes off trailers and moving them into the right workflow. It sounds pretty straightforward until you see the reality.
Trailers can be packed unevenly. Boxes can arrive in odd shapes. Warehouse teams also deal with tight schedules and physical strain. That is why loading docks have become such a major focus for automation. If robots can unload freight and pass it into a pallet-building system without constant human intervention, warehouses could move goods faster through one of the most labor-heavy parts of the operation.
How warehouse robots could change jobs
The big question is obvious. What happens to workers? Robots can take over repetitive and physically demanding tasks. That may reduce injuries and help warehouses handle labor shortages. It may also change which jobs companies need most.
Instead of spending a full shift unloading trailers, some workers may monitor the unloading and stacking systems. Others may step in when a package jams, a label fails to scan or a pallet needs human attention.
Still, that shift can feel unsettling. Automation often comes with a promise of safety and efficiency. Workers want to know where they fit in next. That is very important. A robot may move a box, but people still handle judgment calls, customer issues and fast decisions when the workflow changes.
Why retailers want connected warehouse robots now
Retailers and logistics companies feel pressure from several directions. Consumers expect faster shipping. Warehouses face staffing challenges. Meanwhile, e-commerce keeps creating more package volume. That creates a hard math problem. Companies need to move more goods without slowing down at the dock.
This Ambi Robotics and Pickle Robot setup gives warehouse operators another option. Instead of buying one giant system from a single vendor, they can connect specialized robotic tools that handle different parts of the job. That could give operators more flexibility. It could also help them avoid major redesigns, which can be expensive and disruptive. In other words, the robots are getting smarter. They are also starting to work together in more useful ways.
What this means to you
Even if you never set foot in a warehouse, this kind of automation can affect your life. When warehouses move goods more efficiently, stores may restock faster. Online orders may move with fewer delays. Returns may get processed more quickly. There is another side, too. More automation can reshape job roles inside warehouses. That means workers may need new training as companies bring in more robotic systems.
You may also hear fewer excuses when packages run late. If robots help warehouses operate with fewer bottlenecks, retailers may raise expectations for speed even more. That sounds convenient, but it also means the race for faster delivery keeps putting pressure on every part of the supply chain.
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MOST PROMINENT AI CHATBOTS HAVE LIBERAL BIAS, NEW STUDY FINDS
Ambi Robotics and Pickle Robot Company say their integrated systems could help warehouses move inbound freight faster while easing physically demanding work. (Ambi Robotics and Pickle Robot Company )
Kurt’s key takeaways
What grabs me here is the handoff. One robot unloads packages from a trailer. Another scans and stacks them for the next part of the warehouse process. That is the piece that could change how loading docks operate. Warehouses are full of little delays that add up fast. If a package sits in the wrong place or waits for a person to move it to the next step, the whole process can slow down. This integration shows how warehouse robots may start taking over more of that middle work between the truck and the warehouse floor. Still, the human side deserves attention. These systems could reduce backbreaking work, which is a good thing. At the same time, they may change what warehouse workers are asked to do. The companies that make that transition clear, fair and useful for workers will be the ones to watch.
If robots can unload the truck, build the pallet and keep the warehouse moving, what job inside the warehouse gets automated next? Let us know by writing to us at CyberGuy.com.
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Copyright 2026 CyberGuy.com. All rights reserved.
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