The TMS320F28P550SJ is the industry's first real-time MCU with an integrated neural processing unit (NPU), designed to run convolutional neural network (CNN) models to help reduce latency and power usage when monitoring and detecting for arc or motor faults. The NPU in the TMS320F28P55x series offloads the execution of the neural network model from the main CPU, achieving five to 10 times lower latency than software implementations to enable faster, more accurate decision-making.

Further, the model that runs on the integrated NPU learns and adapts to different environments through training, helping systems achieve greater than 99% fault detection accuracy to enable more informed decision-making at the edge. This devices is supported by Edge AI Studio, a collection of tools to help engineers with any level of experience easily complete the AI model development process.

The real-time control subsystem is based on TI’s 32-bit C28x DSP core, which provides 150MHz of signal-processing performance for floating- or fixed-point code running from either on-chip flash or SRAM. The C28x CPU is further boosted by the Floating-Point Unit (FPU), Trigonometric Math Unit (TMU), and VCRC (Cyclical Redundancy Check) extended instruction sets, speeding up common algorithms key to real-time control systems. The NPU is capable of 600–1200MOPS (Mega Operations Per Second) and can support machine-learning inferencing using pre-trained models.