
Smart Bluetooth beacons with System-on-a-Chip technology collect and analyze operational data in real time to provide machine-learning-informed insights.

A drop-in solution with edge AI enables immediate deployment of wireless condition-based monitoring with real-time notification of vibration anomalies.

With the rapid expansion of connected automotive and telematics systems, cybersecurity has become non-negotiable - telematics devices must be secure by design.

Wireless vibration monitoring evaluation kit supports condition-based monitoring of motors in robotics, pumps, fans, wind turbines, and other systems.

Motor control solutions that prioritize energy efficiency are enabled by technologies that optimize motor performance while reducing energy consumption.

As the agricultural industry evolves with the integration of advanced technologies, the need for smart business practices becomes increasingly critical.

Want to scale hands-on learning without expanding your physical footprint. LabsLand enables students to access real hardware from anywhere.


A demonstration of how Microchip’s MTCH controllers are a ready-made touch and liquid detection solution that removes the aggravation of developing firmware.

Learn how to quickly design and deploy LoRaWAN distributed battery-powered sensor applications using integrated SparkFun and Digi components.

Use a development board and associated software to speed the deployment of secure, multiprotocol IoT applications.

Traditional computing hardware can lead to severe consequences for industrial applications which can result in downtime and compromised operational integrity.

Learn how the Advantech iDAQ-784 DAQ module solves high-speed synchronization challenges in industrial robotics and motion control applications.

Efficient, low-power vision AI microprocessors enable real-time inference at the edge for robotics, surveillance, and smart home devices.

Explore the efficiency of using a finite impulse response (FIR) filter vs an infinite impulse response (IIR) filter.

A multicore processor, development board, and software combine to speed the design of edge AI applications.

Technology brings a new tool to electronics learning: remote labs - designed as a powerful tool to for flexible, effective, and practical engineering education.