Artificial Intelligence-based Smart Sensors
Abstract
Recent achievements in artificial intelligence (AI) in the past decade have made it possible to collect, analyze and interpret tremendous amount of sensory information. A new era for smart sensor systems is emerging that changes the way that conventional sensors are used to understand the environment, and making sensors more effective. The global AI-based Sensors Market is expected to reach USD 152.55 Billion by 2027, according to a new report by Emergen Research.
AI-enabled sensing is already apparent in areas like computer vision for analyzing image sensor data, new software capabilities are unlocking applications for mechanical, acoustic and thermal sensors, greatly increasing the usage of sensors and driving market demand.
Furthermore, recent advancements in microelectronics and emerging material science have shown a potential solution for ‘self-learning’ and ‘adaptive sensor learning’.
Today more and more companies are manufacturing smart sensors with embedded machine learning processing. However, such smart sensors require much higher level of integration. The presence of plenty of analog components in such sensors such as operation amplifiers, analog filters, voltage and current references, ADC, etc. significantly decreases the level of integration and increase the power consumption at low voltage power supply, especially at standard CMOS technological processes below 90 nm.
This presentations focused on the modern smart sensors design with embedded AI. The proposed approach is based on the use of frequency as an informative parameter of sensor output signal. It lets achieve the higher level of integration at the reduced chip area and lower cost. AI-based sensors will be an essential component and are used in various areas of technology, from basic toys to extremely advanced and complex systems.
Brief Biography
Dr. Sergey Y. Yurish is a president of International Frequency Sensor Association (IFSA) – one of the major professional association serving for sensor industry and academy more than 20 years. Dr. Yurish is a founder of three companies. He is editor-in-chief of international peer-reviewed journal Sensors & Transducers and editor of open access multivolume Book Series on ‘Advances in Sensors: Reviews’, 'Advances in Biosensors: Reviews' and 'Advances in Measurements and Instrumentation: Reviews'.
Dr. Yurish has got his PhD degree in 1996 from the National University Lviv Polytechnic (UA). He has published more than 170 articles and papers in international peer reviewed journals and conference proceedings. Sergey Yurish holds 9 patents and is an author and co-author of 12 books. He delivered more than 90 speeches, tutorials and keynotes presentations at industries, peer institutions, and professional conferences in over 30 countries. His research fields are precision frequency-to-digital converters, smart, intelligent sensors and sensor systems.