Micron Technology, Inc.
Deep Learning Accelerator in Memory Utilized in Factory Safety Monitoring Systems

Abstract:

Systems, devices, and methods related to safety monitoring in a factory using an artificial neural network are described. For example, the system can use a plurality of sensors installed at different locations of a factory to generate a plurality of streams of sensor data. At least one memory device can be configured in the system to perform matrix computations of the artificial neural network according to the plurality of streams of sensor data written into at least one memory device. Based on an output of the artificial neural network responsive to the plurality of streams of sensor data, the system generates an event identification representative of a hazard or anomaly in the factory and activates safety control or notification responsive to the event identification.