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The Arduino MKR Vidor 4000 provides a simple and inexpensive way to make use of an FPGA’s real time abilities in embedded system designs.
Securing embedded systems using the Armv8-M architecture and TrustZone.
Using a family of 32-bit MCUs to build invisible intelligence into wearables and IoT devices while optimizing for low power.
Developers can use secure MCUs and authentication ICs to meet users' expectations for privacy and protection in smart products.
Developers can implement efficient KWS on MCUs using DS-CNNs from hardware optimized neural network library for resource-constrained designs.
Advanced MCUs and PMICs provide the foundation needed to meet user expectations for next generation smart products.
Developers can add voice-activated features to resource-constrained designs using a low-power FPGA running a BNN, a highly efficient machine learning algorithm.
Implement real-time clock/calendar (RTCC) functions in embedded systems with minimal design time, component count, and power consumption.
Zigbee Light Link eases development of wireless mesh connected, low-power smart lighting.
Developers can use machine learning in embedded vision applications using off-the-shelf FPGAs now available on specialized platforms.
Using stable hardware and software like the Renesas Synergy Platform, see how to get an IoT application connected to the cloud in 10 minutes.
Using the Raspberry Pi 3 and compatible versions of machine learning software, developers can begin developing sophisticated machine learning applications.
Machine learning development is going mainstream thanks to accessible software and methods that enable deployment on readily available processors and FPGAs.
Development kits enable engineers to turn air quality sensors into Internet of Things connected devices.
With a low-cost microcontroller, developers can use Google Vision APIs for cloud-based image recognition.
Using the Red Pitaya Open Instrumentation Platform and an array of open development tools, developers can create their own test and measurement systems.
HyperBus is an ideal 8-bit, high-speed memory interface for memory expansion of small projects where board space is at a premium.
SoMs based on SoCs that incorporate both processors and FPGAs form the foundation for a flexible design approach to embedded systems with reduced design risk.
The trend toward more programmable hardware is accelerating. Embedded engineers are now being pushed to think like modern software developers.
Developers can quickly add facial recognition to an embedded system with an off-the-shelf microcontroller and camera combination.
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