Nowadays the variety of beverage types is almost endless. They can roughly be categorized into sports drinks, energy drinks, bottled water, tea, coffee, carbonated beverages, wines/spirits and beers. Each category can be further sub-categorized based on flavors, sizes and where they are produced.

While most have yet to grasp the concept of Industry 4.0, Lanner has long completed its Industry 4.0 product roadmap and is now introducing its intelligent manufacturing solutions for MES, machine automation and vision inspection, enabling early adoption and system testing for Lanner’s strategic partners in preparation for developing smart manufacturing controllers and for realizing the implementation of smart factories.

While software-based thin client computing has now become ubiquitous in production automation, so too have the hardware appliances that can be customized and tailored for all industrial automation applications found at processing plants and manufacturing factories. Together with the availability of a variety of thin client management software, hardware appliances have evolved and changed in terms of their flexibility and capability.

Machine vision uses cameras, computers and software algorithms for carrying out inspection tasks that require precise and repetitive verification and testing in high speed. Accomplishing such tasks with human vision is extremely difficult, if not impossible, because while human eyes are capable of making precise measures in details, they aren’t equipped to do so in a rapid and repetitive manner; human vision, by comparison, is error-prone and could deteriorate irreversibly when made to perform such visually intensive tasks.

Today's armored vehicles are built with the most sophisticated hardware and software for carrying out communications, intelligence gathering, threat surveillance, reconnaissance and other critical missions in ground warfare; and these vehicles are controlled using military-grade industrial appliances that are rugged, weather-proof and shock-resistant.

SCADA (Supervisory Control and Data Acquisition) generally refers to an industrial control system that monitors and help control processes. SCADA can be used interchangeably to any semi-automated industrial system.

Appropriate environmental conditions are necessary for optimum plant growth, improved crop yields, and efficient use of water and other resources. Today, advances in sensors, actuators, data acquirement modules and gateway technology, both in hardware and software, have enabled distributed implementation of sensor and control action over sensor/actuator networks. By automating the data acquisition process of the variables that govern plant growth, greenhouse monitoring can be performed efficiently and with minimal human intervention.

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