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Fraunhofer IOSB
Overview
HQ Location
Germany
Year Founded
2010
Company Type
Private
Revenue
< $10m
Employees
< 10
Website
Twitter Handle
Company Description
Established on January 1, 2010, the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB grew to become Europe´s largest research institute in the field of image acquisition, processing and analysis.
IOSB´s other areas of acitvity are control and automation technology, and information and knowledge management.
IOSB has four locations in Germany: Karlsruhe, Ettlingen, Ilmenau and Lemgo as well as a representative office in Beijing.
The three core competencies of Optronics, System Technologies and Image Exploitation give the institute its distinctive profile.
IOSB´s other areas of acitvity are control and automation technology, and information and knowledge management.
IOSB has four locations in Germany: Karlsruhe, Ettlingen, Ilmenau and Lemgo as well as a representative office in Beijing.
The three core competencies of Optronics, System Technologies and Image Exploitation give the institute its distinctive profile.
IoT Snapshot
Fraunhofer IOSB is a provider of Industrial IoT analytics and modeling, cybersecurity and privacy, and automation and control technologies, and also active in the automotive, and national security and defense industries.
Technologies
Use Cases
Functional Areas
Industries
Services
Technology Stack
Fraunhofer IOSB’s Technology Stack maps Fraunhofer IOSB’s participation in the analytics and modeling, cybersecurity and privacy, and automation and control IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
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Minor
Moderate
Strong
Case Studies.
Case Study
IIC - Smart Factory Web Testbed
The Smart Factory Web aims to form a network of smart factories with flexible adaptation of production capabilities and sharing of resources and assets to improve order fulfillment. Key questions are: How can we connect factories to the Smart Factory Web and exchange data reliably? How can we provide the information securely at the right granularity to authorized partners? How can production capabilities be adapted quickly and efficiently in response to orders?
Case Study
Collaborative Data-driven Business Models
In the real world, installed machines come from different machine suppliers that are equipped with different products from different component suppliers. Challenge for manufacturer X (component supplier) to access the data of his delivered product X.Current barriers to implementing collaborative business models:Lack of trustLack of corporationLack of scalabilityLack of business modelLack of framework for digital intrapreneurship and entrepreneurship
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