Artificial Intelligence-based Sensors and Systems:
Smart vs. Intelligent
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 artificial intelligence sensor market is expected to grow at a compound annual growth rate of 46.3 % from 2023 to 2030 to reach US $ 41.17 billion by 2030, reported by Grand View Research.
The artificial intelligence (AI) sensor market has been experiencing significant expansion and is projected to grow robustly. Factors such as the increasing adoption of AI technologies, advancements in sensor capabilities, rising demand for internet of things (IoT) and connected devices, and the need for enhanced human-machine interactions are driving the market growth.
Today, an increasing number of companies are fabricating smart sensors equipped with embedded machine learning capabilities. Nevertheless, these sophisticated sensors necessitate a heightened degree of integration. The abundance of analog constituents within these sensors, including operational amplifiers, analog filters, voltage and current references, ADCs, etc., substantially diminishes integration levels and escalates power consumption, particularly at low voltage power supplies, notably in standard CMOS technological processes below 50 nm. This presentations focused on the modern smart sensors design with embedded AI.
To increase the level of integration, an idea is to employ frequency output sensing elements alongside cutting-edge frequency-to-digital converters (fully digital components) grounded on an innovative, patented method of frequency-to-digital conversion. This design approach enables the elimination of intricate analog blocks such as signal conditioning circuits and ADCs, enhances metrological performance, robustness, electromagnetic noises immunity and markedly boosts the level of integration at 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 associations serving for sensor industry and academy since 1999. Dr. Yurish is a founder of three IFSA Group’s companies. He is editor-in-chief of international peer-reviewed journal Sensors & Transducers and editor of open access multivolume Book Series on ‘Advances in Artificial Intelligence’, 'Advances in Signal Processing' and 'Advances in Intelligent Systems'. He has published more than 190 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.
