• A compact, self-contained 6-DoF tracking device for industrial training applications, based on a stereo camera, IMU, and VIO/SLAM methods. The system is designed to be worn on the human body or attached to objects, enabling precise motion tracking in realistic industrial environments.
• The project focuses on high performance in terms of low latency, high accuracy, and sufficient battery life, while meeting constraints on cost, size, and the use of commercially available components.
• Defined key performance indicators include a battery life of more than 2 hours, end-to-end latency below 100 ms, translational accuracy of 1 cm, and rotational accuracy of 1°.

• The AI glove is an intelligent wearable designed for interaction with AI, capable of capturing and recognizing both structured and unstructured manual activities in industrial workflows.
• By analyzing hand and finger movements?including very fine-grained motions?the glove?s AI can detect patterns ranging from short, gesture-like sequences (similar to sign language) to complex patterns spanning entire assembly steps.

With the AI glove, users and teams can:

• Track processes and deviations in real time

• Identify quality risks at an early stage

• Transform operational data into actionable insights

• The 5G self-tracker is a scalable, high-accuracy positioning solution for tracking assets and people across large and complex environments.
• By leveraging advanced 5G-based localization, the system provides reliable, near real-time position data.
• Designed for enterprise and public sector use, it supports flexible deployment models and strong data protection standards. This makes it suitable for applications ranging from smart campus solutions to critical infrastructure and city-scale operations.