There is a common problem with having many devices on the same I2C line. In case one of them fails, it can interrupt communication between the master and the other slaves. Rerouting function calls from application to drivers through a special class can help tackle this.
Part 2 of article series about running machine learning algorithms on microcontrollers. In this part, we deploy the machine learning model to a microcontroller and compare it with results in Part 1.
In this two-article series we will see how to train a machine learning model and deploy it to a microcontroller. For that, we will use TensorFlow Lite framework.
Advance sensor systems, data analysis and machine learning for the development of cost-effective hybrid varistor electronic components with improved thermal stability
The innovation company IRNAS, providing the smart IoT solutions for industrial applications and the cutting-edge technology manufacturer of overvoltage protective and EMI suppression components, Bourns, did join forces on the NexGenHVEC project to accelerate development and advance the production line by implementing data collection and machine learning technologies.
Implementing good practices of software engineering on embedded software development is becoming more and more important. This blog is a demonstration of a simple example showing the setup of a development environment for embedded software development on nRF52 on Linux mashing using the GCC compiler.
By supporting execution of external Python scripts PlanetCNC has enabled us to build end-to-end automated custom CNC systems. In this blog we are showing you the benefits of CNC system automation using Python, based on a simple beam scanning example.
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