Instrumentation amplifiers (INAs) accurately capture low-level differential signals from a sensor, but users need to choose and apply them carefully.
A module combines an ultra-wideband transceiver, Bluetooth MCU, and motion sensor to provide a low-power standards compliant real-time location system.
When adding sensors to automobiles, use the simple PSI5 bus for safe, reliable, low-cost, and secure sensor to ECU communications.
Use an Arduino compatible shield and baseboard as a complete soil monitoring solution, as well as a development platform for custom designs.
LTE Cat M1 cellular modules provide a link for connected healthcare solutions in the Internet of Medical Things (IoMT).
Chemiresistive sensors offer a cost-effective solution for measuring a wide range of gases but require careful consideration of analog support circuitry.
Low-power, high reliability MEMS sensors play a vital role in industrial automation applications.
Designers can add low-power, 9-axis motion sensing to their MCU-based designs with minimal effort using a 3mm x 3mm TDK InvenSense module.
Single board computers provide a platform for IoT prototype development.
IoT gateways provide a drop-in solution to the problem of bridging low-power wireless networks to the Internet of Things.
Drop-in solutions enable designers to deliver a wealth of clinical-grade measurements for sophisticated health and fitness applications.
Reliable and accurate presence sensing can be done efficiently using optical, ultrasonic, or magnetic sensor technologies, depending on the application.
Developers can pair a Raspberry Pi 3 with development kits that provide quick access to Amazon Alexa or Google Assistant capabilities.
Using the Raspberry Pi 3 and add-on boards, developers can rapidly create industrial automation systems able to meet small shop requirements.
For higher navigational and motion accuracy, use a Kalman filter to combine the best attributes of 3D accelerometer and 3D gyroscope sensors.
The Industrial IoT requires designers to pay particular attention to architecture, device reliability and robustness, and connectivity.
Energy harvesting PMICs allow remote wireless sensor node implementation.
A multi-sensor device and a sensor fusion library dramatically simplify development of environmental monitoring systems for health and wellness.
Utilizing digital controllers for lighting applications provides system flexibility.
LED driver reference designs and IoT development kits offer proven solutions for connected lighting solutions.