Augmented machine learning towards smart self-powered sensing systems

A step in the right direction towards the widespread implementation of the Internet of Things is represented by self-sufficient sensing systems that also make use of machine learning (ML). Intelligent sensing systems that are self-powered will usher in a new era in the creation and manufacture of detectors. This will also open the path for the development of smart robotics, healthcare technology, and sustainable power sources. The combination of ML and automated technologies is showing to possess a great of intriguing innovative apps and opportunities since it makes its way out from the laboratory to practical use in the real world; nevertheless, there are still certain technological, legal, and safety concerns that must be addressed. In this chapter, we will go over the fundamentals of how sensors and systems may power themselves. In conclusion, we provide a transition plan for possible improvements and give our perspective on prospective research requirements and issues posed in machine learning-enabled self-powered sensing systems.