iot

사례 연구

ASUS IoT Factory Environment, Health, and Safety

2021/09

Artificial Intelligence solution that is turn-key, scalable, and agile, designed to align with international safety standards for greater production optimization and management.Customized for safety professionals to effectively manage frontline incidents remotely. Anomalous events are automatically detected and warning notifications are sent in real-time.

Improve standard operational procedures for occupational safety and minimize incident rates through smart monitoring, dynamic surveillance, and protection mechanisms.

Artificial Intelligence solution that is turn-key, scalable, and agile, designed to align with international safety standards for greater production optimization and management.

Intelligent Safety System

By leveraging deep learning technologies, including data analytics and computer vision, ASUS IoT delivers the future of enterprise digital transformation. ASUS IoT EHS Management Service is a platform tailor-made for Environmental, Health and Safety management. Apart from applying AI technologies to digitize and visualize risk assessment, correction and monitoring processes, the platform is designed for localized learning, swift deployment, adaptive scalability and all-time surveillance.

Forklift Safety Control System
Man-Machine Collaboration Risk Identification
Personal Protective Equipment Identification

What customer says

Kunitoshi Kariyado
PRESIDENT,BRIDGESTONE TAIWAN
Safety has always been the top priority of the Bridgestone Group. It is an honor to partner with ASUS IoT and implement the EHS Safety Management System during this transformative period of Bridgestone Taiwan. By applying cutting edge technology and artificial intelligence for big data analysis, we are therefore able to better secure the safety of our employees.
Wen-Chi Yang
PLANT DIRECTOR, BRIDGESTONE TAIWAN
In Bridgestone Taiwan’s journey to transform into a smart factory, our worker’s safety is always a top priority. Through EHS Safety Management System, not only has operational hazards been made quantifiable, but it has also allowed us to identify potential unknown hazards. This makes performance analysis and education workflows much more streamlined and effective. High-risk actions will receive real-time alerts and notifications for immediate correction to ensure workers’ safety, thereby giving us more confidence in driving towards a zero accident vision.
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