Aesthetic Robotics provides a modular 3‑D scanning platform that uses Intel RealSense depth cameras to generate high‑resolution, watertight body meshes with texture mapping in near real‑time. The platform includes a Python‑based SDK with REST and gRPC APIs, enabling integration with visualization tools, cloud storage, and robotic controllers while meeting GDPR and HIPAA security standards. It is offered as on‑premise or cloud‑hosted software under perpetual or subscription licensing.
Funding
Funding not disclosed
Founders
Product
Problem
Aesthetic professionals and robotics manufacturers require accurate, high‑resolution 3D representations of the human body to plan procedures, calibrate devices, and simulate outcomes. Existing scanning solutions are often bulky, costly, or lack seamless integration with downstream visualization and data‑management pipelines, limiting scalability and real‑time use in clinical or production environments.
Solution
Aesthetic Robotics delivers a modular 3D scanning platform built around Intel RealSense depth cameras and a Python‑driven processing stack. The system captures dense point clouds, reconstructs watertight meshes, and applies texture mapping in near real‑time, producing ready‑to‑use body models. An extensible SDK exposes RESTful and gRPC APIs that allow downstream visualization, cloud storage, and robotic control modules to consume the data without custom adapters. The software is packaged for on‑premise deployment or cloud‑hosted licensing, enabling manufacturers and service providers to embed high‑fidelity body geometry directly into their workflows while maintaining data security and compliance.
Target Audience
Primary customers are medical aesthetic device manufacturers, robotic system integrators, and professional beauty service providers that need reliable body geometry for treatment planning, device calibration, or virtual simulation.
Features
- Dual‑camera Intel RealSense configuration delivering sub‑millimeter depth accuracy across the full human torso and limbs
- Real‑time point‑cloud filtering, outlier removal, and Poisson surface reconstruction implemented in optimized Python/C++ pipelines
- Automatic UV unwrapping and high‑resolution texture baking for photorealistic mesh rendering
- Modular SDK with Python, C++ and JavaScript bindings plus REST/gRPC endpoints for seamless integration with visualization engines, EHR systems, and robot controllers
- Built‑in data compression and encrypted storage compliant with GDPR and HIPAA standards
- Calibration toolkit supporting multi‑camera rigs and dynamic pose tracking for robotic arm alignment
- Plug‑and‑play Docker containers for on‑premise deployment and scalable cloud instances
- Comprehensive documentation, sample code, and CI/CD pipelines for rapid OEM integration