Televised poker could be about to add a tool worthy of science fiction. Deepstack, the new cash games show arriving in 2026, aims to change the way the action is followed by incorporating artificial intelligence and biometric analysis on screen to show what happens behind the traditional poker face.
The project is led by the renowned high roller Elton Tsang
Through Deepvision, a technology company linked to the project, they developed a remote photoplethysmography system (rPPG) capable of calculating a person’s heart rate using only images captured by a camera. The software detects the face, analyzes small variations in the skin, and displays the player’s pulse directly on screen.
A demonstration already showed its potential. Tsang made a bluff on the river with K 3 over 7 6 5 10 A, while Wiktor Malinowski
The Deepstack Show Technology Tracks the Player’s Heart Rate Throughout the Hand.
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But that would only be the beginning.
Moene explained that they are working on a true “technology layer” for broadcasts, which besides heart rate would include tools capable of detecting timing tells, blink frequency, and other physical patterns through software and artificial intelligence.
The goal is to tackle one of the problems Tsang identifies in current content: broadcasts that are too standardized and similar to those from 15 years ago, which many viewers end up fast-forwarding or skipping.
The first season is already being recorded with three camera teams and a production designed for edited episodes, short content, and dual-screen elements.
Deepstack wants it to no longer be enough to just look at the cards. Now we will also be able to see how hard it is for the player to hide what they feel.
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