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Smart Manufacturing
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Sino-German Industry 4.0 Demonstration and Innovation Center
The Sino-German Industry 4.0 Demonstration and Innovation Center, opened in 2015, introduces an intelligent production line of Bosch Group including a digital shop floor management system. The center has won the "Industry 4.0 Innovation Award" and the "2017 German Design Award". The equipment contains innovative enabling technologies for Industry 4.0 intelligent manufacturing. 90 different product variants are wirelessly processed operators supported during the assembly process. We demonstrate how small lot sizes are produced at the cost of mass production. We provide a platform for domestic and international enterprises, local governments and scientific research institutions to put theory into practice.
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Sino-German Artificial Intelligence Innovation Factory
GAMI opened the Sino-German Artificial Intelligence Innovation Factory (AIIF) in 2018. Here, we focus on key applications of artificial intelligence, image processing, and robotics in production. As an extension of the existing center, it promotes the transfer and diffusion of scientific and technological achievements into production. 

AIIF helps to cultivate talents for Industry 4.0 intelligent manufacturing through in-depth insights and applied learning scenarios. Furthermore, AIIF serves as a laboratory for joint research and development projects together with Karlsruhe Institute of Technology (KIT).
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Augmented Reality (AR)
Augmented reality (AR) refers to a computer-aided perception or representation that extends the real world with virtual aspects.

Industrial augmented reality offers a new way to create and deliver easily consumable work instructions and help. Digital content is placed onto real-world work environments.
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Real-time locating systems (RTLS)
Real-time locating systems (RTLS), also known as real-time tracking systems, are used to automatically identify and track the location of objects or people in real time, usually within a building or other contained area. Wireless RTLS tags are attached to objects or worn by people. Fixed reference points receive wireless signals from tags to determine their location.
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e-Kanban System
The Kanban principle was first developed in 1947 by Taiichi Ohno of Toyota, Japan. It is a system that ensures the pull principle that controls the flow of materials in production. The goal is to ensure a seamless supply of materials for production with minimal inventory. 
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Machine Vision
Machine vision is the ability of machines to observe their surroundings and make decisions based on visual input, such as image data or video data in an industrial setting. It is implemented through a combination of specialized hardware and software to provide image-based sensing and processing in industrial settings.
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Human-Robot Collaboration (HRC)
The industry world uses many automation systems to achieve massive production by the repeatability that it allows. However, traditional robotic systems are not suitable for every task that each production requires. There are tasks that involves uncertainties and demand cognitive knowledge, that only humans can provide. Contrarily, humans do not have the same speed, stamina and physical strength as robots do. This duality leads to an idealization of a co-working between humans and robots in a way that both of the contributors could make use of their own values and not be limited by their own conditions. This combination of working is addressed as Human-Robot Collaboration (HRC).
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Virtual Reality
Virtual Reality (VR) is the use of computer technology to create a simulated environment. Unlike traditional user interfaces, VR places the user inside the environment. Instead of viewing at a screen, users are immersed and able to interact with a 3D worlds. By simulating as many senses as possible, such as vision and hearing, the computer is transformed into a gatekeeper to this artificial world.
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Predictive Maintenance
The machine downtime is expensive in terms of repair costs and lost productivity. Predictive maintenance uses historical and real-time data to identify potential equipment malfunctions. It is designed to estimate when maintenance should be performed and optimally scheduled to prevent failure.
GAMI Partners