Industrial Engineering Brain assists the management team in fluidifying the production flow, optimizing human-machine interactions, improving production line layout, and increasing efficiency and yield rate to quickly reach production balance. Meanwhile, the integration of AI and hardware brings automated production and precise inspection, reducing the human negligence or incorrect judgment due to insufficient experience, to improve product quality and largely increase the added value of manufacturing industry.
AI can deconstruct the real-time video sent by cameras installed along the production lines, and detect if the operator shows lumbering actions, extra movements or unfamiliarity through action analysis, allowing the manager to intervene and adjust in time.
Through summarizing and analyzing related data such as movement and performance of an individual operator, AI can generate the best action combination for each specific operation, allowing the manager to introduce the operation procedure into other workstations to increase productivity.
AI can come up with the most time-saving material storage allocation, ergonomically designed workstation, and the best human-machine interaction work method through intelligence planning, systemically increasing the performance of the entire production line.
Combining deep learning algorithms and customized inspection instruments, AI can quickly detect the defects hard to be found by human eyes and hence greatly increase the inspection accuracy. Industrial Engineering Brain also automatically records and classifies inspection results, and digs up defect root causes via production line analysis, assisting IE engineers in adjusting faulty workstations quickly to reduce the defect rate.