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Tknika – Hand Tracking XPlanar Technology

Tknika 

Sector: Education

Business Case

Create interactive environments that allow a more intuitive and practical understanding of complex concepts. This system uses a vision camera and artificial intelligence algorithms to detect and track hand movements in real time. The information collected is integrated with an XPlanar magnetic levitation system, providing a visual and physical demonstration of the system. This approach is intended to create a more dynamic and participatory educational experience that motivates students.

Objectives

Demonstrate in real time the application of computer vision and artificial intelligence technologies in education. To provide an interactive tool for learning and demonstrating physical and technological principles. Encourage student engagement and interest through immersive and technologically advanced educational experiences.

Use case

Educators: They use the system to create interactive demonstrations that explain complex scientific and technological concepts. Students: They actively participate in learning through direct interaction with the hand tracking system and its programming.

Infrastructure

Vision cameras, computers, industrial controller Xplanar

Technology

Image recognition/processing Automatic or deep learning

Data

Spatial and temporal coordinates of hand movements, calibration data of the camera system, control inputs for the magnetic levitation system.

Resources

Difficulties and learning

KPIs (business impact and metrics of the model)

Funding

Collaborators, Partners

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