EDN - Embedding AI in smart sensors

In 2018, the smart sensor market was valued at $30.82 billion and is expected to reach $85.93 billion by the end of 2024, registering an increase of 18.82% per year during the forecast period 2019-2024. With the growing roles that IoT applications, vehicle automation, and smart wearable systems play in the world's economies and infrastructures, MEMS sensors are now perceived as fundamental components for various applications, responding to the growing demand for performance and efficiency. Connected MEMS devices have found applications in nearly every part of our modern economy, including in our cities, vehicles, homes, and a wide range of other "intelligent" systems. As the volume of data produced by smart sensors rapidly increases, it threatens to outstrip the capabilities of cloud-based artificial intelligence (AI) applications, as well as the networks that connect the edge and the cloud. In this article, we will explore how on-edge processing resources can be used to offload cloud applications by filtering, analyzing, and providing insights that improve the intelligence and capabilities of many applications.