Applications
Manufacturing

Heavy Industry and Civil Engineering

Overview

Labor shortages are becoming an issue in heavy industry and civil engineering workplaces. To improve productivity and secure sufficient labor, it is necessary to use machinery and equipment for areas that can be mechanized and automated, and for people to carry out work that can only be performed by humans.

In light of this, autonomous robots are now being used in the production and construction sectors to carry out dangerous work in the areas requiring expert skills. The development of new systems to speed up work through cooperation between robots and humans is well under way. A comprehensive range of visible light, invisible light, and distance measurement image sensors are being used as the key devices in such next-generation systems.

Applications

Temperature management in the steel industry

Objects that are approximately 250°C or hotter emit light in the invisible light spectrum (SWIR/Short Wavelength Infra-Red), and there is much expectation that SWIR image sensors can be used to monitor temperature in industries such as the steel industry.

Temperature management in the steel industry

Civil engineering work support

ToF image sensors can be used for the adoption of ICT for heavy machinery. These sensors are used to monitor surrounding conditions, thus providing assistance to machinery operators, contributing to automation, and helping to guarantee safety. They are also expected to improve safety and efficiency by visualizing construction conditions through the three-dimensional measurement of soil volume in civil engineering work, construction conditions in building construction work, and infrastructure installation status.

Civil engineering work support

Large equipment abnormality detection

Machine learning is being used for abnormality detection in plant equipment in recent years. It has the advantages of being more precise than identification by visual observation, and being able to detect abnormalities without having to rely on human judgment. Event-based vision sensors capable of detecting and tracking the movement of high-speed moving objects are also able to detect imperceptible abnormalities in behavior that cannot be detected by the human eye, and providing delay-free notifications by keeping data volumes to a minimum, making them applicable for abnormality detection systems incorporating machine learning.

Large equipment abnormality detection

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