H2020 MSCA Innovative Training Network for the research on Advanced Hardware/Software Components for Integrated/Embedded Vision Systems

ESR9: IMASENIC

Development of smart, low power CMOS Image Sensors (CIS)

@ IMASENIC: Advanced Imaging SL, Barcelona, Spain

The continuous shrinking of feature size in CMOS allowed smaller and smaller pixels in consumer cameras, thus enabling the megapixel race. We can now leverage advanced technologies to implement processing features within the pixel, while preserving high spatial resolution. Progress in high-speed or time-of-flight imaging make possible the recording of depth information within the focal plane. The first goal is to implement a high-level description of the desired functions and evaluate enabling architectures, both at pixel and sensor level. The second goal would then be the design of the selected pixel, using both TCAD and CAD modelling. The third objective of this project will be the design of the other blocks in the data path: the A/D converter, digital processing blocks, implementing further feature extraction and data reduction. The fourth and final goal of this project is the definition of the overall sensor architecture, its implementation in a sensor and the characterisation of this latter after fabrication.

Andrea Ferrario

 

BIOGRAPHY

Andrea Ferrario was born in Conegliano (Treviso, Italy) in 1992. He obtained a bachelor’s degree in electronic engineering with the maximum cum laude in 2016. During his bachelor he carried out a traineeship and a stage as a firmware developer for an Italian company. There he worked on the realization of secure and real-time applications for ARM architectures in asymmetric multiprocessing configuration: this also constituted the subject of his bachelor thesis. In 2018 he got a master’s degree with the maximum cum laude in Microelectronics. His master thesis work was carried out at KTH Royal Institute of Technology (Stockholm) with its subject being the fabrication of self-aligned ohmic contacts to silicon carbide.

He is now employed at IMASENIC (Barcelona) and he is pursuing a Ph.D. at the University of Seville with the subject being the development of a smart, low-power image sensor for 3D detection.

  Andrea.ferrario@imasenic.com

   linkedin.com/in/andrea-ferrario-84b907147

Host

 

Secondment

    

 

MY PROJECT

"Development of smart, low-power CMOS Image Sensors (CIS)"

TASK

CMOS image sensor is an area of high growth, driven by the ever-increasing requirements coming from sectors like automotive, surveillance, traffic management or green housing. Over this backdrop, an exponential growth in the number of devices is predicted and in parallel there is a higher demand to add depth, 3D information to the usual 2D image. Currently specialized architectures exist to provide depth information, the so-called time-of-flight sensors. The aim of this research project is to investigate and develop new architectures to provide accurate 2D and 3D information in a data-efficient way, and within limited power resources. The recent progress in ultra-high-speed sensors and photon-counting architectures will provide the framework for this research. The first goal is to implement a high-level description of the desired functions and evaluate enabling architectures, both at pixel and sensor level. The second goal would then be the design of the selected pixel, using both TCAD and CAD/EDA modelling. The third objective of this project will be the design of the other blocks in the data path: the A/D converter, digital processing blocks, implementing further feature extraction and data reduction. The fourth and final goal of this project is the definition of the overall sensor architecture, its implementation in a sensor and the characterisation of this latter after fabrication.