## 2 Literature Review
### Innovation in Industry 4.0
System integration--This is based on the interconnection of all links in the value chain from suppliers to the organizational structure of the manufacturing company itself to distribution to the end customer. The condition of the functionality of the interconnection is real-time data processing, information sharing, and continuous communication. At present, these connections are still inadequate and underdeveloped [22]. 2. Big Data Analysis--Big data is usually considered to be data in the range of peta bytes (\(10^{15}\) bytes) or more that are currently at the edge of database technology capability. Examples are image data, text data from the Internet, business and security data, and combined multimodal data. Big data processing serves to optimize a company's production, related services, and distribution. The effort is to involve big data analysis for easier innovation, surpassing cheap mass production [23; 24]. 3. Autonomous robots--robotic devices that work independently and do not require human control which are controlled by a program. Very often this type of robot works in collaboration with a person, where both actors complement each other. Nowadays, robots that are able to learn by themselves are beginning to gain ground and are developing the program themselves. 4. Communication infrastructure--means using secure high-speed communication, primarily through wired and wireless networks. A link between products and networks is created where the necessary information is transferred among devices and machines throughout the production process. 5. Data storage and cloud computing--These are server networks, each with a different function. Cloud solutions are used to store \"big data\", such as unstructured data. Clouds also help with planning new production. Using cloud solutions opens up opportunities for productivity growth and cost optimization. The big advantage is the possibility to share information among hundreds of branches of one company, e.g., about customers or sales structure [25]. 6. Additive production--it is the process of joining material according to 3D digital data, most often layer by layer. The product is produced quickly and precisely, even the most complex shapes such as printing a house. Additive technology makes it possible to produce diverse parts without the need for lengthy programming preparation [26]. Currently, 4D is being tested, which is a 3D product that can later change and reshape over time. 7. Augmented Reality--connects the physical and virtual worlds. It extends the human perception of the world with new information that is not easily and quickly recognizable. Current applications are focused on smartphones and tablets that enable visualization of virtual tours, composing product groups, etc. Applications can be found in warehouse and logistics operations (barcode reading) in transport (traffic information) and in service (component visualization). 8. Sensors--Sensors include methods and tools for measuring and sensing various variables that are important in an industrial automation system. 9. Cybernetics and artificial intelligence provide key technologies for Industry 4.0 system solutions. These are the principles of organization, management, and decision-making as well as procedures to integrate autonomous systems. 10. New technologies--unused technologies will find their place in the Industry 4.0 process and new technologies will emerge, especially in the areas of biotechnology, information technology, and genetic technologies [27].