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How does Prism Labs turn a phone camera into a 3D body scanner?

Mobile 3D body scanning with validated accuracy and SDK and API integration.

Prism Labs, a ROOK partner, uses computer vision and machine learning to create accurate 3D body scans from a mobile phone camera. The scans produce body composition insights such as body fat percentage, lean muscle mass, visceral fat, body measurements, and health indices, without expensive equipment or specialized personnel. Prism Labs' technology is used by personal health and fitness brands including Noom, Tempo, and Fitify, and apps integrate it through a mobile SDK and API.

Prism Labs makes body tracking accessible on mobile phones, so businesses can show users real-time visualizations and projections of body shape, which supports engagement and long-term retention. Prism Labs reports that Texas Tech University independently validated the technology for laboratory-grade accuracy.

Prism Labs' mobile SDK and API let a mobile application or website add 3D scanning and insights to its user experience, supporting conversion, engagement, and retention by letting users see tangible changes in their bodies. Prism Labs serves fitness apps, wellness solutions, and tools for health-conscious consumers.

How do GLP-1 users track body changes with Prism Labs?

GLP-1 users track body changes with Prism Labs by creating 3D body models from a smartphone, which lets them see fat loss while preserving lean mass, a marker of healthy weight loss. In one case study, Prism Labs reported the following results.

Age: 41

Days between first and most recent scan: 233

  • Waist circumference change13.13 inches
  • Hips circumference change14.32 inches
  • Weight Loss92 lbs

This individual lost nearly 100 lbs in under 8 months without losing lean mass, according to Prism Labs. Results from a single case vary, and body scans are not a medical diagnosis; weight-loss treatment decisions belong with a qualified clinician.

Learn more about Prism Labs and contact ROOK to learn more about this partnership.

To bring wearable and health data from 72 data sources and more than 500 devices into a partner integration, start with the ROOK documentation.

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