Peloton Turns on AI Form Feedback with Built-In Computer Vision System

• Peloton IQ uses a movement-tracking camera and AI to deliver dynamic form feedback, rep counting, and strength guidance.
• The system analyzes user history, wearable data, and real-time performance to personalize coaching across its new Cross Training Series equipment.

Peloton has introduced Peloton IQ, a new AI coaching system with on-device computer vision, as part of a major overhaul to its connected fitness lineup. Available across its new Cross Training Series, the system uses a built-in movement-tracking camera to deliver real-time form feedback, rep counting, and suggested weights during strength workouts. Peloton states these features are available on the new “plus” line devices and through a software update for original models.

Peloton IQ’s camera-enabled features deliver real-time form feedback, rep counting, and suggested weights during strength workouts. The new Workout Generator and Self-Paced Strength mode let members create custom workouts or take classes at their own pace while still receiving feedback. These tools are available on the plus line devices with built-in movement tracking.

"This is the start of a new chapter for Peloton," said Peloton CEO Peter Stern, in a news release. "We're doubling the value of our hardware with the Cross Training Series by delivering world-class cardio and strength in a single machine. With Peloton IQ, we're introducing a new level of intelligent personalization to become the ultimate partner in our Members' wellness journeys. This is more than an upgrade; it's a relaunch."

Peloton says Peloton IQ combines workout history, wearable data, and real-time performance to deliver personalized recommendations. Members receive feedback such as projected output ranges, class suggestions, and weekly performance summaries tied to their goals. The company states that “with every workout, recommendations get sharper,” helping users discover new ways to train.

🌀 Tom’s Take:

Peloton is taking its equipment into the era of spatial computing by pairing cameras with AI, giving eyes to its devices that can now act as effective coaches and enhance workout guidance.

Source: Peloton