Law and Government

Walmart’s Hidden Cameras Catch Self-Checkout Theft in Real Time

July 20, 2026
02:42 PM
4 min read

Key Points

Walmart's Missed Scan Detection uses hidden cameras to catch self-checkout theft in real time.

The system is expanding to 50% of US stores by late 2026 from thousands currently.

Employees monitor live feeds on handheld devices and receive alerts in seconds.

WMT stock trades at $114.24 with a B grade and $142.98 12-month target.

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Walmart is rolling out an AI-powered anti-theft system that catches self-checkout shoplifters in seconds. The “Missed Scan Detection” technology, built by Irish firm Everseen, has been active in thousands of US stores since 2017 and is expanding to 50% of Walmart locations by late 2026. Employees who appear to be texting are actually monitoring live surveillance feeds on handheld devices that alert them when items enter bags without being scanned.

How the hidden camera system works

Walmart’s Missed Scan Detection uses concealed cameras positioned above each self-checkout register to monitor hand movements and item flow. The system compares what cameras see to what the scanner records. When an item moves into a bag without a corresponding scan, the register displays an alert and sends a notification to an employee’s handheld device in seconds. The deliberate appearance of employee distraction is itself a security design choice, according to Josh Bush, research project coordinator at the Loss Prevention Research Council. Shoppers who believe attendants are distracted may be more likely to attempt or accidentally commit a scan error, making the moment of flagging more significant.

Why Walmart is expanding the system now

The system detects missed scans sometimes correctly and sometimes not, according to reporting on the technology. Walmart is expanding Missed Scan Detection to 50% of US locations by late 2026 as retail theft losses mount. The technology joins other anti-theft tools already deployed across stores, including public-view monitors showing live camera feeds, license plate readers in parking lots, dye tags, locked security cases, and RFID chips tracking items in fitting rooms. Facial recognition technology is also being tested by some retailers, including Grocery Outlet locations in the San Francisco Bay Area.

What happens when the system flags a transaction

When Walmart’s system detects suspicious activity, employees receive real-time alerts on their handheld devices and can intervene immediately at the register. The system sometimes generates false alarms, which can create tense moments for shoppers. If an employee determines theft occurred, the transaction can be stopped, and police may be called. For millions of shoppers who use Walmart self-checkout weekly, understanding how the system works is critical, as a false flag or genuine detection can determine whether a routine supply run ends at the parking lot or at a police station.

What investors should know about WMT stock

Walmart (WMT) trades at $114.24, down 0.62% on the day, with a Meyka grade of B and a 12-month price target of $142.98. The stock carries a PE ratio of 40.24 and analyst consensus of Buy (2 Buy, 1 Hold). With RSI at 46.27 and CCI overbought at 104.30, the stock shows mixed momentum signals. The expansion of loss-prevention technology reflects Walmart’s ongoing investment in operational efficiency and shrink reduction, factors that support long-term margin defense.

Final Thoughts

Walmart’s Missed Scan Detection system is now standard at thousands of US stores and expanding rapidly. Shoppers should assume self-checkout lanes are monitored by AI and live surveillance. For investors, the technology underscores Walmart’s focus on protecting margins through operational innovation.

FAQs

What is Walmart’s Missed Scan Detection system?

It is an AI-powered system built by Irish firm Everseen that uses hidden cameras to detect items placed in bags without being scanned at self-checkout. Employees monitor alerts on handheld devices.

How many Walmart stores have this system?

The system has been active in thousands of US Walmart stores since 2017 and is expanding to 50% of all US locations by late 2026.

Can the system make mistakes?

Yes. The technology sometimes generates false alarms, which can create tense moments for shoppers and potentially lead to police involvement in rare cases.

Why do Walmart employees look like they’re texting at self-checkout?

They are actually checking real-time notifications on handheld surveillance devices. The appearance of distraction is intentional, as shoppers who think attendants are distracted may be more likely to attempt theft.

Disclaimer:

The content shared by Meyka AI PTY LTD is solely for research and informational purposes.  Meyka is not a financial advisory service, and the information provided should not be considered investment or trading advice.

About Author

Author

Huzaifa Zahoor

Co Founder

Huzaifa Zahoor is the engineer who built Meyka. He has spent years writing Python, training AI models, and building data pipelines specifically for financial markets. His technical articles have reached over 30,000 readers on Medium, so he knows how to make complex things easy to follow. If this article touches on how the tools work, he is the person who actually built them.

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