Smart Factory

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Automatic Factory

Factory automation requires environmentally-friendly production activities to be completed as fully automated as possible and requires the lowest production cost to obtain the greatest economic benefits. Therefore, it is necessary to automate all aspects of production process formulation, product quality inspection, and cost accounting involved in the production process to achieve the highest return on investment ratio.

The use of various accurate industrial sensors and wired or wireless communication networking technology supplemented by deep learning technology can realize the automation of all aspects of the production process. Therefore, the production cost of the factory can be reduced while the utilization rate of production resources is significantly improved during product production.

Manual Quality inspection

Production equipment health status monitoring, abnormality analysis, and location, equipment service life prediction: To ensure that the equipment runs in an orderly manner for a long time to bring higher benefits to the factory

Automatic analysis of equipment status

In addition to the ability of automatic assembly line production, the factory must also have the ability to monitor the health of the production equipment, analyze and locate abnormalities, and predict the service life of the equipment.

Manual equipment repair

Automatic quality inspection: While the factory has automated product production, to achieve higher inspection accuracy and reduce manual inspection costs, it should also have the ability to automate quality control.

Our Solution

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  • To solve the bottlenecks of factory automation, COEUS can provide a series of solutions, including: To detect the health status of production equipment, analyze and locate abnormalities, and predict equipment service life, COEUS can provide a series of solutions, including high-precision sensors, embedded models, deep learning model testing, system testing, and real-time monitoring with anomaly detection functions. Through this series of solutions, the analysis of the health status of the production equipment and the analysis and rapid positioning of abnormal equipment failures are realized.
  • To detect the health status of production equipment, analyze and locate abnormalities, and predict equipment service life, COEUS can provide a series of solutions, including high-precision sensors, embedded models, deep learning model testing, system testing, and real-time monitoring with anomaly detection functions. Through this series of solutions, the analysis of the health status of the production equipment and the analysis and rapid positioning of abnormal equipment failures are realized.

Contact Us

Phone: + 61 431938981
Coeustech Sydney, NSW 2000, Australia
MON-FRI 09:00 - 19:00, SAT-SUN 10:00 - 14:00

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