When people think of casino security, they think of security cameras, writes Robert Prady, Area Technical Manager, West, Axis Communications.
An evergreen image related to casinos is a surveillance operator sitting in front of a veritable wall of monitors, trying to keep an eye on them all while a heist cleverly takes place on just one of hundreds of camera views that a single human is expected to be watching.
It’s a trope that’s been cemented by decades of movies, from Ocean’s Eleven to 21, where high-stakes drama plays out just beyond the gaze of traditional surveillance.
These dramatized casino heists create an illusion that the most pressing threat is a clever criminal working the floor with sleight of hand and insider knowledge.
But in reality, casinos deal with far more nuanced, routine and common issues than what’s portrayed on the big screen.
Real-world casino security isn’t about dramatic standoffs or last-minute vault breaches – it’s about constant vigilance over thousands of moving parts: cash exchanges, guest interactions, employee behavior, vendor activities and more.
It’s about ensuring that every corner of the operation runs smoothly and safely, while delivering an elevated guest experience.
That’s why video surveillance has long been a cornerstone of casino security infrastructure.
But the story has evolved. Surveillance is no longer just a passive system recording events for review after the fact.
With the introduction of AI-powered analytics, these systems are becoming intelligent, proactive partners in casino operations.
They can now predict, detect and help prevent incidents before they escalate – from identifying unauthorized access to flagging behavioral anomalies on the floor.
While Hollywood may still romanticize the con, today’s casinos are focused on a different kind of story: one where security is seamless, technology is integrated and AI is playing an increasing role in keeping everyone safe: guests, staff and assets.
Casinos are more than high-stakes tables and blinking slot machines.
They’re sprawling ecosystems that intersect with multiple industries. Sure, there’s the buffet and the hotel area – classic members of the hospitality world – but they also house high-end retail stores, performance venues, external vendors and more.
With this complex infrastructure comes an equally diverse clientele.
One guest might be there for a weekend getaway, another for a concert, while someone else is walking in off the street to test their luck at the roulette wheel.
Unfortunately, where there are people – and opportunity – there’s also potential for criminal activity.
Surveillance technology is used by organizations to capture and record evidence of wrongdoing, whether internal or external.
In a casino, where everything from cash to chips to customer data must be tightly monitored, having a robust surveillance system is non-negotiable; it’s a legal requirement.
It’s not just about having footage available for casino security after the fact; surveillance data must be unimpeachable, accurate and comprehensive enough to serve as evidence in the event of a legal issue or regulatory inquiry.
Today, surveillance is more than just footage – it’s data.
That data can inform business decisions, aid in employee training and most importantly, promote a visible sense of safety for guests and staff alike.
But just as surveillance is more than footage, casino security is more than surveillance.
Access control plays an equally important role in the security ecosystem of a modern casino.
There are two sides to access control in the casino security world: internal controls for employees and restrictions for guests.
Employees need more access than patrons, but not all employees have equal clearance.
Only a select few, for instance, can access the vault where cash is stored.
But every employee should be able to use the employee entrance or check into a shift without issue.
Guests, on the other hand, should be cordoned off from sensitive areas altogether – whether it’s the chip counting room, employee break spaces or a green room for performers.
Access control isn’t just about security; it’s about flow, operations and maintaining a seamless, safe experience for everyone on the premises.
One good example is hotel access. Not every casino patron is a hotel guest. Some are there just to gamble, see a show, or enjoy a meal.
So, how do casinos ensure that only hotel guests access the upper floors or spa areas?
Room keys have become digital gatekeepers, used in elevators to restrict access to those specific areas.
This evolution showcases how access control has shifted from analog to digital.
It wasn’t long ago that this task fell to a human security officer checking all IDs or room keys at the elevator bank.
Now, more sophisticated tech does the job – such as access control systems that only allow the guest access to the floor of their room and only valid room keys grant access to the elevator.
Access control systems have become increasingly tech-savvy, especially as AI analytics continue to rise in prominence.
Beyond casino security, the data collected from access points is a goldmine for customer behavior analysis.
It helps casino security teams understand foot traffic trends and aids managers in optimizing staffing, improving congestion points and fine-tuning the overall guest experience.
AI hasn’t just enhanced access control and customer analytics – it’s transforming casino security itself.
While the casino market may be a little smaller when compared to industries like retail, which could be 50 times larger, the AI revolution has arrived and it’s already making a big impact.
One of the biggest values AI brings to casino security is real-time awareness.
Traditional surveillance is reactive – something happens and footage is reviewed at a later time.
AI shifts this paradigm by enabling proactive monitoring.
With pattern recognition capabilities, AI systems can identify suspicious behavior as it unfolds, alerting human operators immediately or even before an incident occurs.
AI-powered aggression detection is another tool changing the game.
These systems can be embedded directly into casino security cameras and pick up on raised voices, or angry gestures in hotel areas.
When those signs emerge, casino security teams can be dispatched proactively to de-escalate situations before other guests call and before the incident escalates into a larger disturbance or violence.
Despite all of the familiar features – restaurants, boutiques, spas – the casino floor remains a unique environment with its own security demands.
This is where AI has been particularly impactful.
Some recent AI capabilities, like recognizing card values and determining the winner of a hand, are impressive, but not necessarily critical.
After all, a human dealer does that job quite effectively.
However, AI-enabled surveillance can go a step further – monitoring game speed and dealer efficiency.
Why does this matter? Because dealer performance is directly tied to revenue.
The more hands a dealer can run in an hour, the more opportunities the casino has to make money.
AI can track game pace, providing management with real-time data to assess dealer effectiveness, streamline staffing and even improve training programs.
Then comes the million-dollar question that has puzzled casinos for decades: Can AI catch cheaters?
While AI isn’t quite ready to replace seasoned surveillance and security professionals in detecting every type of cheat – because the methods are constantly evolving – it can still catch many of the most common forms of deception.
One such example is chip theft.
When a dealer is momentarily distracted, a player may attempt to steal chips by crossing a hand over the betting line.
To combat this, AI-enabled surveillance can be configured with “line-cross” detection.
The moment someone’s hand crosses into a restricted zone, an alert can be triggered to notify the dealer or floor security immediately.
It’s a fast, automated response to an age-old problem.
Another frequent concern is card counting.
Technically legal, card counting is a strategy used by “advantage players” to gain an upper hand.
These players aren’t breaking the law – they’re just good at math.
But for casinos, this poses a threat to the house edge.
Traditionally, identifying card counters required a lot of manual effort.
Floor security would observe suspicious players, then alert surveillance teams, who would run parallel simulations in the back room to see if the betting patterns lined up with a card counter’s strategy.
It was slow, labor-intensive work.
AI has turned this into a streamlined, largely automated process.
The system can continuously run simulations in the background and if a player’s bets align too perfectly with those simulations, casino security is notified.
This allows staff to respond much faster and with more confidence.
The average casino welcomes thousands of people each day, each with their own purpose – some to gamble, some to eat, others to enjoy a concert or stay the night.
No matter the reason, one thing remains constant: the need to feel safe.
AI analytics have become the newest member of the casino security team.
Whether it’s monitoring access, detecting aggression, analyzing gameplay or flagging suspicious behavior, AI isn’t replacing human intelligence – it’s enhancing it. The wall of monitors still exists.
But now, instead of a single guard watching 50 screens and hoping to catch something amiss, AI is scanning every pixel in real time, flagging anomalies and giving casino security professionals the insight they need to act swiftly and effectively.
The house always wins? Perhaps. But thanks to AI, it’s not just winning – it’s getting smarter, safer and more secure every day.
This article was originally published in the August edition of Security Journal Americas. To read your FREE digital edition, click here.