The current trend is to electrify almost all systems.
Sensors, now commonly referred to as Internet of Things (IoT) sensors, need to be diverse to minimize errors. Machine learning (ML) algorithms and AI platforms are building on sensor fusion for many of today's applications.
New capabilities are being incorporated into the latest wireless standards (5G and Wi-Fi): time synchronized networks (TSN), network determinism, minimal latency, and high reliability. With these new capabilities, there is a growing demand for sensor modules that can provide data with lower latency and higher bandwidth to enable new functions not possible without sensor data.
Almost any sensor can be turned into an IoT sensor, with efficient digitization and data processing, and the sensor module itself can be deployed along with communication equipment at a location convenient for data collection. Reducing the footprint and increasing the ability to combine multiple sensors by integrating them into a single chip along with the data processing technology is driving a change in system-on-chip (SoC) design.
As with many other technologies, miniaturization, increased efficiency and accuracy are future requirements for IoT sensor technologies. Today, many sensor technologies are limited in their ability to miniaturize or integrate with processing and communication technologies. Therefore, new technologies are being created to replace legacy technologies that are not easily adaptable to compact and highly optimized system form factors.
New capabilities are being incorporated into the latest wireless standards (5G and Wi-Fi): time synchronized networks (TSN), network determinism, minimal latency, and high reliability. With these new capabilities, there is a growing demand for sensor modules that can provide data with lower latency and higher bandwidth to enable new functions not possible without sensor data.
Almost any sensor can be turned into an IoT sensor, with efficient digitization and data processing, and the sensor module itself can be deployed along with communication equipment at a location convenient for data collection. Reducing the footprint and increasing the ability to combine multiple sensors by integrating them into a single chip along with the data processing technology is driving a change in system-on-chip (SoC) design.
As with many other technologies, miniaturization, increased efficiency and accuracy are future requirements for IoT sensor technologies. Today, many sensor technologies are limited in their ability to miniaturize or integrate with processing and communication technologies. Therefore, new technologies are being created to replace legacy technologies that are not easily adaptable to compact and highly optimized system form factors.