Advertisement
HANNOVER MESSE 2018, 23 - 27 April
Homepage>Exhibitors & Products >Robust Embedded Visual Sensor Systems

Robust Embedded Visual Sensor Systems

Software Competence Center

Exhibitor details
Logo Robust Embedded Visual Sensor Systems
Logo Robust Embedded Visual Sensor Systems

Exhibition stand

Hall 2, Stand A44

Contact(s)
Mr. Mag. Manfred Schwanthaler
Business Development
Send E-mail

Product description

Embedded visual sensor systems need to be literally robust not only because of their application domains. The robustness of the methods and algorithms also plays an important role in an environment with frequent interference, e.g. the noise as seen in the grayscale image on top.
Increasingly, smart cameras are used as the camera system. In addition to their photography, these cameras have an internal processing unit for additional image processing. This unit can be a processor, DSPs or FPGAs. Furthermore, these cameras feature data storage and one or more communication interfaces. The added value of this approach is that the camera provides already (pre)processed data for use by the next application layer.
While at the beginning of this century, hardware was an extreme limiting factor, this aspect has meanwhile become secondary. Some consumer devices such as smartphones, which can also be seen as smart cameras, are available cheaply.
Low-cost smart cameras enable the economical realization of various hardware configurations such as visual sensor networks. Here smart cameras serve as agents that require appropriate coordination to achieve the desired results.
Likewise for embedded systems, limited processing speed has been countered by GPU-accelerated parallel processing.
There are many applications of such visual sensor networks, including monitoring of traffic, buildings and processes. A growing share of overall costs falls on energy and software in the development of such distributed optical systems. Especially for embedded systems, which are often harnessed by numerous limitations, demand the choice of the right methods in order to achieve solutions within prescribed budgets and deadlines. SCCH researches and offers solutions in the field of robust embedded visual sensor networks to enable economical and efficient implementations.

All products offered by this exhibitor

Digital Twin

Develop Secure Software with Rigorous Systems Engineeringread more

R&D-Project

Augmented Reality in Industry

Optimum Human-Computer Interaction for Weldingread more

Deep Learning

Knowldege- and Deep Learning Based Computer Vision Systemsread more

Rulebook Generator

Wissen aus Software generierenread more

Humans in Industry 4.0

Industry 4.0 (the smart factory) is usually equated with networking and improved flexibility. However, an important focus is the integration of humans in this new work environment. Those tasks where humans continue to be an important factor must be supported by machines. This elevates the importance ...read more

Robust Embedded Visual Sensor Systems

Embedded visual sensor systems need to be literally robust not only because of their application domains. The robustness of the methods and algorithms also plays an important role in an environment with frequent interference, e.g. the noise as seen in the grayscale image on top. Increasingly, smart ...read more

Prozess Mining for Industry

Processes are the heart of an enterprise and describe the interconnections of tasks in day-to-day operations. Modeling, analysis and improvement of these processes has been a research interest for many decades and for some years a focus of research and industrial projects at Software Competence Center ...read more

Predictive Analytics

Fault diagnosis and prognosis to avoid machine downtimeread more

INDYCO

INDYCO (Integrated Dynamic Decision Support System Component for Disaster Management) is a decision support system which can 1) react rapidly and dynamically to changing situations during a disaster and 2) handle new disasters for which no contingency plan exists. The INDYCO system analysed different ...read more

Stored items

0

Server communication error: Item could not be saved.