Applying deep learning to sensor data to support workers in manufacturing
With many developed nations facing an aging society, the manufacturing industry is facing a workforce shortage. The situation has been further aggravated by the current corona virus pandemic. Thus, the demand for maximizing efficiency and reducing loss cost has become an even more pressing issue to ensure the availability of supply and maintain business continuity. To ensure the resilience of production lines and compliance with product quality, reliable execution of tasks is required. To address these issues, we developed an advanced “real-time work deviation detection” for human tasks utilizing deep learning technology. This blog is an overview of the work conducted by colleagues and I. To find out more detail, I invite you to read the original paper, "Human Work Support Technology Utilizing Sensor Data," which was presented at the 2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)[1].
