STMicroelectronics: In-Sensor Computation: a Long Path to Meaningful Data Enabled by High-Level Synthesis
The first commercialized sensors performed simple filtering operations and converted analog signals into digital data, processing was done in an external processing unit. High-Level Synthesis allows the development of complex algorithms in high-level languages, enabling the creation of sophisticated and flexible processing modules integrated into sensors. "Meaningful data" refers to the ability of a sensor system to process and interpret raw data to extract useful information. Instead of transmitting large volumes of unprocessed data to a central processing unit, intelligent sensors can analyze data locally, identifying patterns, anomalies, and trends. This local processing reduces the workload on central systems and improves overall efficiency. In this presentation, we will provide examples of design flows based on HLS, showcasing the design of a block capable of improving the system in which the sensor will be integrated, thanks to a signal quality analysis for a medical sensor.
講演者の紹介
Marco Castellano
Digital Design Manager
Marco Castellano earned his Laurea degree from the University of Pavia, Italy, in 2005. He continued his studies at the same university, completing a Ph.D. in electrical engineering in 2009. His doctoral research was a collaborative effort between the University of Pavia and STMicroelectronics, focusing on the creation of high-speed, low-power arithmetic circuits for Digital Signal Processing. In 2016, Marco advanced to a leadership role within an R&D team at STMicroelectronics, where he was instrumental in driving the innovation of embedded processing in analog products and sensors. His contributions to the field are documented in a series of published papers, presentations at scientific conferences, and a portfolio of patents, all centered around the integration of algorithms.