At the new CEBIT Business Festival for Innovation and Digitization from 12 - 15 June 2018, the DFKI will present "Artificial Intelligence for People." With a new date and new concept, CEBIT stages digital transformation on four platforms: d!conomy, d!tec, d!talk and d!campus.
Artificial Intelligence, Internet of Things, Augmented and Virtual Reality, Future Mobility, and Human Robotics are trend topics at CEBIT, which DFKI is taking up as part of the d!tec platform in Hall 27. Further project results and research prototypes are added: AI research fields such as human-robot collaboration, body and motion tracking, learning systems, Deep Learning, tax data analytics, immersive quantified learning, smart services for everyday life, rehabilitation robotics or gender IT. We look forward to welcoming you at several stands at CEBIT 2018!
DFKI Stand (Hall 27, F62)
Competence Center Autonomous Driving
Together with research institutions and industry, DFKI is researching AI solutions for the use of self-propelled vehicles in road traffic. Specific topics are problems of environmental perception, scene understanding, trajectory planning and behavior analysis of other road users.
How Robot-based Process Automation Enables Innovations in the Tax Area - The Center of Competence for Tax Technology
Last year, DFKI and WTS founded the joint Center of Competence for Tax Technology (CoC-TT) to leverage existing potential at the interface between business taxation, finance, tax law and IT, to accelerate developments and to test application options in practice. At CEBIT, the CoC-TT provides an insight into current activities and technical advancements in this new field ("Tax 4.0") for AI applications.
BEinCPPS - Business Experiments in Cyber-Physical Production Systems
The vision of BEinCPPS is the complete introduction of cyber-physical production systems and their service platforms in small and medium-sized companies in Europe. Innovative business models should make possible the ambitious goal in Europe of generating 10% of gross domestic product through production and services in this area.
DISTRO - Distributed 3D Object Design
The DISTRO network brings together leading research institutes for visual computing and 3D computer graphics throughout Europe. The aim is to train a new generation of scientists, technologists, and entrepreneurs who will bring Europe into a leading role in scientific and technological innovation in the field of distributed 3D object design and customization. https://www.distro-itn.eu
FI-NEXT - Bringing FIWARE to the NEXT step
FI-NEXT simplifies the development of widely distributed IoT environments from sensor technology to interactive visualization. FI-NEXT continues its research on software architectures for digital processes from the ARVIDA project and the Generic Enabler FiVES from the FIWARE project. This includes not only the pure software design but also the provision of the necessary service infrastructure. FI-NEXT aims to be used in large-scale "Smart City" IoT applications.
prospective.HARVEST - Methods and Technologies for the Planning and Control of Cooperative Agricultural Processes
The joint project aims to implement an infrastructure for proactive support of farming processes using the example of silage maize harvesting. The central module is the integration of data from sources that are already commonly available but have not yet been used or only in other application contexts.
CrowdHEALTH - Collective Knowledge for Shaping Health Policy
The goal of the joint project CrowdHEALTH is to integrate heterogeneous and distributed health data supplemented by health-related data, such as activity, lifestyle and nutrition data, and to make analysis findings available to decision-makers in the healthcare system. To this end, the project partners are developing a secure digital platform that integrates big data technologies and provides analysis and visualization tools for stakeholders in the health sector.
Smart Services in Food Production: From Smart Farming to Data-driven Business Models
The exhibit shows new Smart Services in food production. "nPotato", an artificial potato equipped with sensors, ensures that the farmer knows in real time whether the setting of his combine harvesters is optimal and also whether the harvest is adequate or whether there is potential for optimization. Based on this data, Deep Learning technologies are used to predict how much profit will be made from the current harvest. The "nPotato" is extended by "Smart Services": in addition to selling data to commodity investors, the producer can actively influence the quality of future deliveries in advance, e.g., by exchanging varieties.
Be-greifen - Combining Practice and Theory in MINT Studies in an Experiential Way
The aim of "Be-greifen” (grasping) is the exploration of interaction methods which, by "merging" the real and the digital world, make the connection between experiment and theory comprehensible, tangible and interactive for learners in the MINT subjects of study in real time. An interactive experiment from electricity theory will be shown, which is supported by sensors and augmented reality.
ConWearDi - Digitization of Construction Services and Processes with Industrie 4.0 Technologies
The goal of ConWearDi is the development of innovative, technology-based services that are driven by digital construction site processes and link different value chains in the construction industry environment. The exhibit shows how processes and workflows can be monitored, recorded and controlled on the construction site with the aid of a wireless sensor network. The sensors can be integrated into clothing (e.g., helmet) as well as into the materials used or installed in the environment.
You in 3D - Real-time Motion Detection of Several People in Videos from Social Networks
The innovative, fully automatic multi-person motion measurement system works in real time with conventional monocular RGB video data and is capable of tracking several people in 3D. The system automatically estimates a personalized 3D skeleton and an initial 3D position for each person in the video. No manual work or specific posture is required. Applications include 3D animation of human characters, motion analysis in sports and modeling human body movements.
BodyAtTrack - Mobile Body Tracking and Analysis, Anytime and Anywhere
The lightweight and modular design of the system allows easy integration into clothing or equipment for medical, sports and rehabilitation applications. A single miniature battery supplies the entire system with energy and provides for hours of operation. Kinematic motion analysis can be called directly from a smartphone without any additional software, app or plug-ins.
iQL - Immersive Quantified Learning Lab
The exhibit shows what a learning and workplace of the future could look like. Various demonstrations are available to try out the latest sensor technologies and gain an insight into the future of learning.
Recupera REHA - Portable Exoskeleton Helps Stroke Patients to Move Again
In the Recupera REHA project, a mobile whole-body exoskeleton and an independent subsystem for robot-assisted rehabilitation of neurological diseases were developed. New methods for actuation, control engineering, and lightweight construction were combined with a new system for online evaluation of bio-signals. This enables adaptive assistance of patients. The close cooperation with the partner rehaworks allowed the successful evaluation of the medical applicability of the subsystem as a rehabilitation device for stroke patients.
smile - Smart Environments to Touch, Participate and Explore
The aim of the "smile" project is to increase the proportion of women enrolled in computer science studies in order to sustainably increase the number of female computer science graduates. By embedding computer science methods in technologies for people, schoolgirls at grade 5 and above are continuously supported in workshops and courses, and access to computer science topics is created.
Stand of the Federal Ministry of Education and Research - BMBF (Hall 27, E52)
"From Milk Run to Delivery Service" - Hybrid Teams in Convertible Production
The milk boy was the inspiration for the Milkrun's production logistics concept: to prevent too much milk from being delivered, which then spoiled, the boy only provided a full bottle when he found an empty one. Applied to industrial production, this design allows the control of the materials but determines the schedule and the lot size. The concept of the delivery service, on the other hand, makes it possible to order and deliver components as required in the specific production situation. Also, the robotic supplier can also be commissioned to bring a drink or a snack, for example, thus contributing to a positive working environment for the worker.
Research into hybrid manufacturing scenarios focuses on the efficient upgrading of transformable production at the process, product and device level through a controllable Industrie 4.0 infrastructure to support the use of heterogeneous, mobile and stationary robots for socio-technical production. Components are being researched and tested that enable the interaction of people, machines and services in hybrid teams on the basis of existing and newly learned skills.
SCALE11 (Hall 27, Startup Program Scale11)
DaSoMan - A Response to the General Data Protection Regulation
The General Data Protection Regulation that becomes enforceable in May 2018 reveals a dilemma for users: while users rely on data-based services, they also want the use of their own information to be self-determined. This demand cannot often be satisfied by the service providers. The DASOMAN project delivers intelligent middleware that uses appropriate encryption and authorization concepts to ensure that providers can only use and analyze data that is legally compliant and for which the user has given them authorization.
Stand of Saarland University (Hall 27, G75)
Guided AL - Intelligent Value-added Services for Everyday Use
Guided AL demonstrates a service platform for intelligent value-added services (so-called "smart services") that proactively supports people faster, more securely and more efficiently. The visitor himself takes on the role of a fictitious user and learns with every step how digital assistants, e.g., when looking for a parking space or when shopping, stand by his side.
Footstriker - Correction of Running Style by Electrical Muscle Stimulation
Running is one of the most popular sports in Germany. However, most runners put their feet on first with their heels, which causes injury and joint wear. To remove the ingrained movement pattern of the heel running style is a complex and time-consuming learning process, which often only succeeds with the guidance of a trainer. Researchers at DFKI have developed a method that supports joggers to run in a more joint-gentle forefoot or metatarsal style with the help of electric muscle stimulation (EMS). For this purpose, a wearable was developed which recognizes the running style by means of pressure sensors in the cover sole of the shoe. If the foot first touches the ground with the heel, then the calf muscle receives an electrical stimulus in the flight phase, so that the muscle contracts and the runner first touches down with the forefoot or metatarsus.
Reinhard Karger, M.A., Company Spokesman
German Research Center for Artificial Intelligence (DFKI)
Saarland Informatics Campus, Building D3 2
66123 Saarbrücken, Germany
Phone: +49 681 85775-5253
Mobile: +49 151 1567 4571
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