Applications | Projects

Sports Analytics

 

ESI-Fitness

New methods of machine learning and artificial intelligence, combined with precise real-time tracking, allow a new depth of game and training analysis.

 

LZE-Project

Automated analysis methods in sports provide technically, tactically or physiologically important parameters for added value in sport applications.

 

RedFIR

Automated action recognition in combination with machine learning and hierarchical event recognition allows the automatic generation of game statistics.

 

Sensors in soccer

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.

 

 

Validating wearables in basketball

The validation of commercial wearables allows optimum monitoring of training and game performance for NBA players.

 

Sensors for boxing

Real-time measurements of the acceleration curve and speed of punches using specially developed miniaturized sensor technology in combination with sensor-based artificial intelligence.

 

S3Engine: Sports Scene Search Engine

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.

Smart Sensing

 

KI4Tools

The retrofittable and intelligent sensor module for hand tools measures various parameters in manual work processes and thus enables process optimization.

 

HORIS - High-resolution radar systems for infrastructure

Realistic measurement data validation for behavioral prediction of pedestrians at bus stops

 

Schreibtrainer – intelligent handwriting support

AI-based signal processing helps improve handwriting automaticity, spelling and letter formation.

 

Tool Tracking

Assembly errors can be avoided by monitoring tool user activity.

 

ESI-Automotive

Developing reliable detection of passers-by using a combination of camera, LIDAR and RADAR sensors.

 

SmartBrush

Our sensors in the brush, combined with the app support your tooth brushing experience.

Optical Tracking

 

Holodeck 4.0

Discover a whole new world with Virtual Reality.

 

CNNLok

Evaluation of learning, optical localization methods for industrial use.

Autonomous Systems

 

ESI

Developing reliable detection of passers-by using a combination of camera, LIDAR and RADAR sensors.

 

ML4POS

Indoor-Localisation/Position Estimation with Deep Learning used for signal processing chain.

Quantum Machine Learning

 

BayQS

 

 

The Bavarian Competence Center Quantum Security and Data Science BayQS researches relevant software issues in the context of quantum computing.

 

QuaST

 

 

In the QuaST research project, Fraunhofer IIS is developing the necessary software and services to enable or facilitate the use of currently available and future quantum computers by academic and industrial users.

 

QLindA

 

 

In the QLindA project (Quantum Reinforcement Learning for Industrial Applications), we are developing novel algorithms with partners to transfer reinforcement learning approaches to high-performance quantum computers.

Reinforcement Learning

 

ROLF

 

 

In the ROLF research project, Fraunhofer IIS and DATEV are investigating the potential of artificial intelligence (AI) in business processes.

 

KIAFE

 

 

The aim of the project is to develop an AI-supported technology for designing complex, energy- and resource-saving processes.

Innovation Center Bavaria

 

EDIH Digital Innovations for Industry in Bavaria (DIBI)

The European Digital Innovation Hubs (EDIHs) are part of the European Union's "The Digital Europe Programme".  A nationwide network of innovation centers in the EU is intended to support the digital transformation of administration and business. Fraunhofer IIS is a project partner of EDIH DIBI, one of Bavaria's three innovation centers to date.