Microchip Technology has extended its edge AI portfolio with production-ready solutions that integrate its microcontrollers and microprocessors into complete platforms for secure, efficient and scalable real-time inferencing. These offerings target industrial automation, automotive systems and IoT networks by embedding AI capabilities directly at the device level to reduce latency and improve data privacy.

The new suite provides pre-trained, deployable models and sample application code for critical use cases, including dangerous electrical arc-fault detection, equipment health monitoring for predictive maintenance, on-device facial recognition with liveness detection, and keyword spotting for command-and-control interfaces. Each solution can be customized through Microchip’s software tools or partner frameworks to meet specific environment requirements.

Engineers can leverage familiar development environments—MPLAB X IDE with Harmony framework and MPLAB ML Development Suite plug-in—to prototype on 8-bit MCUs and scale to 16- and 32-bit devices. For high-performance workloads, the VectorBlox Accelerator SDK 2.0 for FPGAs accelerates vision, sensor analytics and human-machine interfaces, while power modules and PCIe devices ensure seamless edge integration.