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Visit Microchip Technology at IoT World 2019

Microchip is excited to announce our participation at Internet of Things World 2019 (IoT World), May 13-16, 2019, at the Santa Clara Convention Center in Santa Clara, CA. IoT World brings together top technologies, strategies and case studies to implement IoT. Microchip will be showcasing a variety of products that support IoT expertise and equipment. Visit us in Booth #710 to meet with our experts and discuss how Microchip can enhance your next design.

Explore Our Demos

Whether you’re looking for a preview of what we’re showing at IoT World 2019 or following up after the show for additional information and next steps, here is the list of our demos with links to more product information to help you get started with your design.


MEMS High Stability Over Extreme Temperatures

See how our MEMS oscillators offer high-accuracy stability over a wide temperature range as compared to crystal oscillators.

Secure Authentication to AWS IoT Core with a Secure Element

Learn how to protect your private keys used for trusted authentication in a secure element, while leveraging certificate-based authentication. This traditional security model uses the ATECC608A secure element to provide JIL “high”-rated security to systems with standard microcontrollers (MCUs), such as Arm® Cortex®-M0+ and Cortex®-M4 based devices, or more advanced Linux®-based Greengrass systems.

Advantages of Integrated EMI Filtering Within Amplifier Integrated Circuits

This demonstration highlights the benefit of EMI filtering on the input of a non‐inverting operational amplifier circuit. Three non‐inverting op amp circuits are utilized. Circuit A is a general-purpose op amp with no EMI filtering. Circuit B is the same as Circuit A with an external RC filter added to the positive input, and Circuit C is the MCP6421 op amp with internal EMI filtering. A 433 MHz ASK RF noise source is provided to demonstrate the impact of external noise on the three circuits.

Machine Learning Inference on PolarFire™ FPGAs

PolarFire FPGAs provide designers with the ability to implement convolutional networks for machine learning in low-power, thermally constrained applications. The PolarFire FPGA Machine Learning demonstration runs object detection inferencing using the PolarFire Splash Kit, a web camera and a laptop or PC to control the deep learning network using Tiny Yolo v2.

PIC® and AVR® MCU Solutions for the Cloud

Learn how to connect next-generation PIC® and AVR® MCU-based applications to the cloud. To accelerate the development of these applications, our family of IoT rapid development boards for Google Cloud IoT Core combine a low-power PIC or AVR MCU, CryptoAuthentication™ secure element IC and fully certified Wi-Fi® network controller. See light and temperature data transmitted from the board to the cloud, or add your own sensor using the mikroBUS™ header to interface to MikroElekronika Click boards™.

Cloud Gateway

Intelligent cloud gateways convert low-value data into edge-processed, high-value data. Learn how to create an Intelligent cloud gateway using the SAMA5 MPU, with Microchip’s Linux®-based AWS gateway evaluation kit and software scripts.

Wireless Sensor Network (WSN)

Network sensors are at the core of the IoT. Learn how three different networking schemes—LoRaWAN™, MiWi™ protocol and Wi-Fi—can all be used to send sensor readings to the AWS cloud.

LoRa® Technology IoT City

Low power meets long range with LoRa technology. Learn how to develop for the IoT world including energy management, street lighting, smart home, smart building and tracking using the industry’s lowest-power SAM R34/35 LoRa devices. Find out how to securely communicate with the real cloud infrastructure from The Things Network using the ATECC608A secure element.

Smart Embedded Vision

PolarFire Smart Embedded Vision opens new possibilities for implementing systems that rely on visual data to make decisions across a broad spectrum of low-power applications. This demonstration highlights the capabilities of our new PolarFire FPGA Video and Imaging solution. Displaying two 1080p video streams in picture-in-picture format, the demonstration performs edge detection and down scaling, combines video outputs, and processes the video stream for display via HDMI.