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New methods of machine learning and artificial intelligence, combined with precise real-time tracking, allow a new depth of game and training analysis.
Automated analysis methods in sports provide technically, tactically or physiologically important parameters for added value in sport applications.
Automated action recognition in combination with machine learning and hierarchical event recognition allows the automatic generation of game statistics.
Real-time analysis of soccer players' performance and the course of play using cost-effectiv sensors and machine learning to detect speeds, actions and events for trainers and players.
The validation of commercial wearables allows optimum monitoring of training and game performance for NBA players.
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Real-time measurements of the acceleration curve and speed of punches using specially developed miniaturized sensor technology in combination with sensor-based artificial intelligence.
Fast sports-scene search engine. Based on deep learning, our S3Engine technology enables fast searches for similar game scenes in sports, evaluates them and suggests solutions.
© Fraunhofer IIS
The retrofittable and intelligent sensor module for hand tools measures various parameters in manual work processes and thus enables process optimization.
Realistic measurement data validation for behavioral prediction of pedestrians at bus stops
AI-based signal processing helps improve handwriting automaticity, spelling and letter formation.
Assembly errors can be avoided by monitoring tool user activity.
Developing reliable detection of passers-by using a combination of camera, LIDAR and RADAR sensors.
© Procter and Gamble
Our sensors in the brush, combined with the app support your tooth brushing experience.
Discover a whole new world with Virtual Reality.
Evaluation of learning, optical localization methods for industrial use.
Indoor-Localisation/Position Estimation with Deep Learning used for signal processing chain.