Olypsys

Olypsys is a mobile app that uses machine learning to accurately measure and identify O-rings from photographs taken with a smartphone. It compensates for shadows, perspective, misalignment, out-of-roundness, and reflections. Users can identify components against international standards, save measurements, and access data history online and in-app. The app also includes a wear compensation tool for measuring worn or damaged components, and can be configured for specific workflows and industries. Optional measurement booths provide enhanced image quality for precise measurements in various environments (e.g., distributor front desk, machine shop floor). All measurements are saved to a central database and can be viewed in-app or via the web app.

Key Features

• Machine learning compensation for shadows, perspective, misalignment, out-of-roundness, and reflections
• Identification against international standards
• Cloud-based measurement history
• Wear compensation tool
• Remote control mode (Pro)
• PDF reports (Pro)

Use Cases

• O-ring measurement and identification in distribution, manufacturing, and quality control

Who It’s For

• Distributors
• Machine shops
• Quality control professionals