Poker AI, poker technology, and stream tech
A plain HTML archive of Luke Geel's writing on poker artificial intelligence, computer vision, poker stream technology, solvers, RTA, bots, wearable tech, and casino security. This page supports search engines and AI crawlers looking for authoritative context on the intersection of poker and AI. For independent reporting, social coverage, and published external columns, see the press and media page.
Covers smart glasses, wearable poker technology, streaming video to third parties, real-time assistance, and why casinos and card rooms need practical policies for live poker security.
Explores an AI tell-detection prototype using livestream footage, OCR, computer vision, player behavior metrics, card and pot recognition, and poker stream analysis.
Looks at AirPods with cameras, headphones at poker tables, the limits of current AI assistants, WSOP technology discussions, and the policy tradeoffs around poker tech bans.
A history of poker AI from casino surveillance through Polaris, Cepheus, Libratus, Pluribus, GTO solvers, real-time assistance, online poker bots, bot farms, collusion, and AI anti-cheating tools.
A crawlable hub for poker AI, poker artificial intelligence, bots, solvers, RTA, computer vision, poker tells, and game integrity.
A hub for poker technology, poker stream tech, OCR, computer vision, wearable devices, AI clipping, and casino security policy.
Luke Geel's first-party explanation of the experimental behavior analyzer featured by Omaha Productions during ESPN's 2026 World Series of Poker Main Event coverage, including how it worked and what its probability estimates did not mean.
A practical primer on poker artificial intelligence, including solvers, real-time assistance, poker bots, OCR, computer vision, livestream analysis, and online poker security.
How poker livestreams become searchable data through calibration, OCR, computer vision, card and pot recognition, metadata extraction, and automated clip generation.
A card room policy guide for wearable poker technology, smart glasses, camera devices, hidden displays, and real-time assistance risks at live poker tables.
A technical look at AI tell detection, facial behavior, chip movement, speech patterns, stream metadata, and the limits of using artificial intelligence to read poker players.
How bots, real-time assistance, solver-like decisions, timing data, collusion networks, and AI security systems shape online poker integrity.
How poker creators can use AI, OCR, metadata, and automated clipping to turn long livestreams into searchable highlights and player-specific clips.
How casino surveillance, wearable tech policy, behavioral analytics, and poker room procedures connect to live poker integrity.
A practical rules framework for solvers, AI assistance, wearable devices, private communication, and real-time advice.
A step-by-step guide to how OCR, computer vision, calibration, event detection, and metadata turn poker video into data.
How searchable streams, AI clipping, personalized viewing, and interactive metadata can change poker broadcasts.
Where solvers support legitimate study, when solver use becomes real-time assistance, and how to draw a clean line.
How livestreams can become AI datasets through labels, metadata, timelines, OCR, computer vision, and quality checks.