Development of an Automated Hand and Nail Detection System for Precision Robotics in Beauty Services

A rising demand exists for automating professional manicure services to reduce costs and expand accessibility across hospitality venues such as spas, hotels, and salons. Current systems lack the required accuracy, automation capabilities, and integrated computer vision components to perform multistep manicure procedures without professional intervention.

A mid-sized beauty hardware startup aiming to automate manicure procedures within hospitality and personal care industries, seeking high-precision robotic solutions.

• Develop a fully automated manicure robot capable of performing a five-step process, including polish removal, cuticle treatment, nail shaping, polish application, and drying, with minimal human oversight.
• Achieve an average positional accuracy of 0.25mm for finger and nail detection to ensure high-quality manicure results.
• Design and implement advanced computer vision algorithms for real-time hand and nail detection, segmentation, and precise 3D positioning.
• Create a robust calibration and testing environment that replicates operational conditions for continuous validation and optimization of accuracy.
• Enable seamless integration of stereo vision, photometry, and semantic segmentation technologies for detailed nail detection and application.
• Facilitate easy installation in various hospitality settings to generate additional revenue streams while reducing labor costs.

• Multi-camera stereo vision system for 3D hand and nail detection
• High-precision nail and finger localization with <0.25mm accuracy
• Semantic segmentation for accurate identification of nails and skin regions
• Automated calibration routines to maintain detection accuracy
• Real-time processing and feedback loop for precise robotic movement
• Simulation environment for testing and iterative improvement
• User interface for hand placement and status monitoring

• Camera calibration and image acquisition modules
• 3D point cloud processing systems
• Robotic actuation control interfaces
• User-facing control and feedback interfaces

• Detection accuracy of ≥ 0.25mm for hand and nail positioning
• High system reliability with minimal calibration drift
• Real-time processing with latency under 200ms
• Scalability to support multiple units across venues
• Robust operation in different lighting and skin tone conditions

Implementing this automated manicure system is expected to significantly lower operational costs by eliminating the need for skilled manicure professionals, increase throughput and customer satisfaction, and enable new revenue streams in hospitality settings. Achieving the targeted accuracy levels and automation readiness will position the client as a pioneering leader in beauty robotics, with measurable improvements in system reliability and customer engagement metrics.