Cabecera-Investigación
Asset Publisher
Research
Research in microelectronic solutions for critical systems is a pillar of the SoC4sensing Chip Chair. The objectives of the research plan are:
- Promote lines of research that will advance the design of solutions for microelectronic products, specifically semiconductor devices that can be exploited in the short and medium term.
- Explore and develop transversal concepts and capabilities applicable to the Training Plan.
Specifically, the actions promoted by the Chair are focused on the following topics:
- Prototyping of a semiconductor SoC device with high-availability Ethernet communications and RISC-V CPU on reconfigurable logic of next-generation Intel-Altera SRAM technology
The objective of this project is to obtain a RISC-V CPU-based SoC design for a high-availability Ethernet communications node (HSR/PRP) implemented on the new generation Intel-Altera SRAM technology.
- Digital Integrated Circuits Design with FOSS (Free and Open Source Software) EDA
The Chip University-Company SoC4sensing Chair offers the university extension course called Design of Digital Integrated Circuits with FOSS EDA to be taught at the School of Engineering of Bilbao. In this course, you will be able to acquire basic skills in the design of digital integrated circuits using these tools, which will lay the foundations for your future career in the emerging field of microelectronics.
- Synchronization and control of remote quantum sensor systems controlled with RFSoC semiconductor devices
The main objective of this work is to design a network of control systems for distributed quantum systems control instruments using a deterministic TSN network. The instrumentation systems will be based on RFSoC semiconductor devices that integrate all the value-added elements specific to the application in the same integrated circuit: the digital communications hardware, the digital signal processing hardware, the RF, and the application software.
- Embedded CPU architectures for System-on-Chip (SoC):
The proposed actions address the research and experimental development of SoC sub-systems based on RISC-V and ARM microprocessors. The possibility of adapting the RISC-V architecture by integrating custom-developed coprocessors.
- Microelectronic architectures for next-generation industrial communication systems:
The activities driven in this line of work address the research and development of hardware solutions to implement the new communication systems for critical systems integrating OT (real-time) and IT communications. The primary beneficiaries of these contributions are the industrial (Industry 4.0), ENERGY (Smart Grid), and Aerospace sectors.
- Microelectronic architectures for computing applications in systems with advanced Sensorics:
This research line addresses highly specialized research and development activities in a specific sensory application, Dynamic Vision Sensors, which will allow a decline in an experimental Chiplet development integrable in the developed SoC sub-systems. This area's contributions directly apply to industry, automotive, and aerospace.
Asset Publisher
Acquisition of Neuromorphic Vision Equipment
PROPHESEE's EVK4-HD camera features a dynamic vision sensor (DVS) that will enable the development of vision systems based on neuromorphic processors.
First publication date: 21/01/2025
PROPESEE's EV4 HD camera is ultra-light and compact with a 1280x720px IMX636 dynamic vision sensor (DVS). This sensor enables the development of vision systems based on neuromorphic technologies capable of efficiently processing event-generated vision signals. Its ability to detect optical signals in complex conditions and process information in real time with low latency and high energy efficiency makes it ideal for applications such as pattern recognition, industrial monitoring, and autonomous systems. This device drives the development of innovative and reliable solutions in computer vision, essential for critical environments that require high accuracy and performance.
Justification:
Neuromorphic optical signal processing.
The EVK4-HD camera provides an ideal basis for acquiring event-generated visual data, which is fundamental for developing neuromorphic vision systems based on pulsed artificial neural networks (SNN). This enables real-time information processing with low latency and high energy efficiency.
Advanced pattern recognition in critical environments
It is ideal for applications where it is required to detect the presence of objects or characteristic patterns of very high frequency, which are not detectable by traditional cameras based on the acquisition of "frames." Its integration in neuromorphic systems optimizes the response in critical decision-making scenarios, such as industrial monitoring or autonomous systems.
This device represents an essential component for research and training in neuromorphic computing and opens new possibilities for innovative solutions in specialized optical sensors with impact in multiple critical industries.
Asset Publisher