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, not only can it get the real cycle time, but also 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 increase productivity and decrease the cycle time of each working station.
AI can come up with the optimized production line arrangement through intelligence planning, systematically increasing the performance of the entire production line, which includes productivity, cycle time, numbers of labors, balance ratio.
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.
Our Digital Twin solution enables real-time machine monitoring. IE Brain gives a direct access to real-time data from machines and warns maintenance teams when one of the indicators shows irregularities.