App Development

Smart Anti-Slip Stair Detection System

Lucas discovered that slippery stairs at home posed a high risk but lacked timely warnings. He designed and developed an anti-slip system based on pressure sensors and optical detection that could mon...

  • Lucas G.
  • March 8, 2023
  • Duke University

Lucas discovered that slippery stairs at home posed a high risk but lacked timely warnings. He designed and developed an anti-slip system based on pressure sensors and optical detection that could monitor ground humidity changes in real-time and provide dual reminders to pedestrians through voice and LED lighting. To reduce false alarms, he conducted long-term testing under various materials and angles, continuously optimizing the algorithm's filtering logic. In multi-scenario validation, the system provided 85% advance warnings of slip risks and was introduced to several public stair safety renovations, offering innovative protection for campuses and communities.

Smart Anti-Slip Stair Detection System - 1

Mentor Review

Lucas precisely analyzed sensor data noise and worked with STEMRise mentors to develop multi-scenario testing procedures, ensuring the system's stability and reliability in real environments, demonstrating excellent engineering implementation capabilities.

University Admission

Duke University

Smart Anti-Slip Stair Detection System
Project Author

Lucas G.

Completion Date
  • March 8, 2023
University Admission
  • Duke University

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