Using a multicamera stereoscopic vision system that has a 44 µm resolution analyzes each follicular unit while repeatedly recognizing and identifying key features 60x per second, accurately harvesting each follicle at the optimal angle.
The AI analyzes, monitors, and tracks each follicle's characteristics—position, angle, size, and orientation—and adjusts for patient movement. Machine learning (ML) recognizes and digitally maps past, current, and future grafts, learning new patterns to deliver continuous improvements.
The 7-axis KUKA robot arm is highly dexterous with a 0.1 mm repeatability and the propoetary Ultra Punch system has a multifaceted tip and variable speed to dissect with less trauma to the follicle.
With IoT (Internet of Things) capability, the 3D planning software on the touch screen lets physicians customize the design for the patient.
Combining all of these technologies, the system analyzes and selects the appropriate grafts from the donor area without risking scarring on the patient's scalp. It also identifies recipient sites while implanting each graft at 1,000 grafts per hour, protecting existing hair. All in all, it's supposed to offer a much more natural appearance. You can see before and after photos here.
