Abstract:
Machine learning is being adopted in many walks of life to solve various problems. This is being driven by development of robust machine learning algorithms,
availability of large datasets and low cost computation resources. Some machine
learning applications require deployment of devices off-the-grid for data collection and real time monitoring. Such applications require development of systems
that can operate autonomously during their deployment. Advancement in technology has seen development of low-cost and low-power open-source microcontrollers and single board computers. These boards can be interfaced with a wide
array of sensors and can perform computation processes. The boards are finding
wide applications in data collection and machine learning initiatives. This paper
will describe how the boards are leveraged for off-grid deployments.
