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.

Securing remote and unmanned industrial facilities such as oil fields and gas pipeline is always a challenge because these off-site properties are often located in far-flung and distant rural areas where man-hours for facility maintenance are long and costly. For companies looking to automate the safeguarding of these remote and critical facilities, finding a solution capable of monitoring multiple remote sites on a limited budget isn’t always easy.

A leading manufacturer of laser cutting machinery in Switzerland was looking for a new computer system to install in their new product line. Their earlier product line were using full-sized industrial motherboards, which were too slow for the demanding calculations.

Intelligent surveillance solution is one of the most widely adopted AI applications as it can be deployed for a broad range of use scenarios, delivering advanced video analysis with deep learning for almost all vertical sectors. Before they can leverage the benefits such as AI-enhanced detection accuracy and flexibility, however, businesses and organizations must overcome a significant numbers of challenges before and after a deep learning model is trained because AI-powered video surveillance solutions rely on visual data capture for analyzing/solving security, safety, and operations challenges; and such reliance demands simultaneous analysis of vast volumes of video footage.