For decades, card counting has been one of the most feared tactics in casinos. Skilled players have used this strategy to gain an edge in blackjack, turning the odds slightly in their favour. But casinos aren’t sitting back and letting it happen. Today, artificial intelligence (AI) is changing the game, and with facial recognition, machine learning, and advanced surveillance, casinos are fighting back harder than ever.
In this article, we’ll explore how AI is being used to detect card counters, the technology behind it, and what this means for advantage players following 22Bet sports news!
How Card Counting Works (And Why Casinos Hate It)
The Basics of Card Counting
Card counting is a strategy used in blackjack to track the ratio of high to low cards left in the deck. When done correctly, it gives players a slight mathematical advantage, and the most common method, the Hi-Lo system, assigns values to cards:
- +1 for low cards (2-6)
- 0 for neutral cards (7-9)
- -1 for high cards (10, J, Q, K, A)
By keeping a running count, people can estimate when the remaining deck is rich in high cards, increasing their chances of hitting blackjack or getting strong hands.
Why Casinos Ban Card Counters
While card counting isn’t illegal, casinos have the right to refuse service to anyone they suspect of using the technique. If caught, counters may be:
- Asked to leave
- Getting banned
- Added to facial recognition databases
Because this tactic reduces the house edge, casinos invest heavily in stopping it.
How AI Is Changing the Game
Casinos have always used surveillance to catch such participants, but AI takes it to a whole new level. Here’s how they’re doing it.
Facial Recognition: The New Eye in the Sky
Gone are the days of security guards squinting at grainy footage. Modern casinos use facial recognition software to:
- Identify known tricksters as soon as they enter
- Track their movements across the casino floor
- Alert security in real-time
Some systems even cross-reference faces with shared databases between countries, meaning if you’re flagged in Las Vegas, you might be recognized in Macau.
Machine Learning: Predicting Suspicious Behaviour
AI also learns from behaviour, as machine learning algorithms analyze:
- Betting patterns (sudden large bets when the count is high)
- Playing speed (hesitation when making decisions based on the count)
- Table movement (jumping between tables when the deck is hot)
Over time, these systems get better at spotting subtle signs of counting that humans might miss.
Can They Beat AI?
With casinos deploying such advanced tech, is it still a viable move? Some are adapting, but the risks are higher than ever.
New Strategies to Avoid Detection
Seasoned counters are trying new tricks, such as:
- Using disguises (glasses, hats, even makeup to fool facial recognition)
- Team play (one person counts while another places big bets)
- Avoiding high-tech casinos (smaller venues may not have AI surveillance)
The Future of Advantage Play
While AI makes counting harder, it hasn’t eliminated it completely. Some players are turning to:
- Online blackjack with live dealers (though software can still track play)
- Other advantage techniques (shuffle tracking, hole carding)
The Cost of High-Tech Casino Security
Implementing AI surveillance isn’t cheap. A single casino can spend millions on facial recognition cameras, machine learning software, and trained analysts to watch the system. But for big gaming corporations, the investment pays off.
A skilled counter can cost a casino thousands per hour in lost revenue. By contrast, AI systems work 24/7 without breaks, scanning hundreds of people simultaneously, and over time, the tech pays for itself by catching advantage players before they do too much damage.
Yet, not all halls can afford this tech, and smaller venues and tribal casinos may still rely on traditional surveillance, making them easier targets for counters. This creates a divide in the industry where high-end places become nearly unbeatable, while low-budget ones remain vulnerable.
As these resources become more accessible, even mid-sized casinos may adopt it, further shrinking the opportunities for such guests.
Famous Card Counters
Before AI made this strategy nearly impossible, a few legendary players outsmarted casinos for years.
Edward Thorp, the father of card counting, used probability theory to prove that blackjack could be beaten. His 1962 book, Beat the Dealer, turned the subject into a science.
The MIT Blackjack Team, immortalized in the movie 21, used team play and sophisticated strategies to win millions in the 1980s and ’90s. Their success forced most places to improve surveillance, laying the groundwork for today’s systems.
Don Johnson, a professional gambler, used negotiation and game selection (rather than pure counting) to win over $15 million from Atlantic City casinos in 2011. His success showed that even without counting, skilled players could exploit casino weaknesses.
