Search

613 results for : “iot-solution”

Showing 1 to 10 of 613 results.

Arm’s VP of IoT Cloud Services Shares The Greatest Challenges in IoT Utilities

https://makerv2.webteractive.co/blog/arms-vp-of-iot-cloud-services-shares-the-greatest-challenges-in-iot-utilities

As the IoT grows ever more crucial, the same goes for efficient and secure IoT deployments, especially in the increasingly-regulated utilities space. EP’s Sam Holland talked to SVP of software giant Arm’s IoT Cloud Services division, Himagiri Mukkamala, about his experience of optimising IoT solutions in the utilities sector, particularly in relation to Arm’s recent partnership with smart meter manufacturer, EDMI.

Predictive Maintenance Of Compressor Water Pumps

https://makerv2.webteractive.co/bosch-iot-suite/projects/predictive-maintenance-of-compressor-water-pumps

Applying sensor fusion with RSL10 Bosch sensors to run a TinyML model for predictive maintenance of compressor pump.

Get Started With Mbed  Studio and Debugging Boards

https://makerv2.webteractive.co/arm-mbed/tutorial/getting-started-with-mbed-studio

Learn about Mbed Studio, an IDE for ARM microprocessor programming, and start coding on the Mbed OS!

Arduino Room Comfort Thermometer

https://makerv2.webteractive.co/anduino/projects/arduino-room-comfort-thermometer

This is a termometar Intended for measuring the temperature in the room where we are staying, also known as Room comfort Thermomerter.

Speed Measurement Using HC-SR04 Ultrasonic Sensor

https://makerv2.webteractive.co/anduino/projects/speed-measurement-using-hc-sr04-ultrasonic-sensor

On this project I will show you how to measure the speed of movement of an object using HC-SR04 ultrasonic sensor.

Real-time Food Quality Prediction

https://makerv2.webteractive.co/anduino/projects/real-time-food-quality-prediction-3

Detect spoiled products using the Tiny Machine Learning approach.

Real-time Food Quality Prediction

https://makerv2.webteractive.co/anduino/tutorial/real-time-food-quality-prediction-3

Detect spoiled products using the Tiny Machine Learning approach.