FitOptiVis

FitOptiVis

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From the cloud to the edge – smart IntegraTion and OPtimization Technologies for highly efficient Image and VIdeo processing Systems

Photos from FitOptiVis's post 12/11/2020

Check out our posters from 2018 and 2019.

JOINTER: Joining flexible monitors with heterogeneous architectures 30/04/2020

This is a joint work from Universities of L’Aquila, Sassari and Cagliari. It presents the demo and tutorial of JOINTER, a framework that allows to develop complex heterogeneous architectures composed of programmable processors and dedicated reconfigurable accelerators on FPGA, together with customizable monitoring systems, keeping under control the introduced overhead.

JOINTER: Joining flexible monitors with heterogeneous architectures This is a joint work from Universities of L'Aquila, Sassari and Cagliari. It presents the demo and tutorial of JOINTER, a framework that allows to develop co...

30/04/2020

Universities of Sassari and Cagliari are developing Multi Dataflow Composer Tool which automatically generate runtime reconfigurable hardware platforms. MDC, starting from a set of applications described as dataflow models, is able to generate a multi-functional dataflow specification embedding all the given input ones and, then, to assemble the reconfigurable system capable of correctly executing them one at a time.

External links:
https://github.com/mdc-suite/mdc
https://mdc-suite.github.io/
https://www.youtube.com/playlist?list=PLql1YxTzHalZztJPu7wn0uzAYbr81QTpH

Meeting in Prague (March 2020) 06/04/2020
Meeting in Valencia (December 2019) 07/01/2020
Meeting in Eindhoven (September 2019) 07/01/2020
Meeting in Brno (May 2019) 07/01/2020
Meeting in Tampere (February 2019) 07/01/2020
Meeting in Cagliari (October 2018) 07/01/2020
Photos from FitOptiVis's post 19/12/2019

ITI is creating an industrial inspection prototype for FitOptiVis. The device is being assembled and will include 16 Nvidia Jetson Nano to perform Edge Computing calculations. Currently ITI is designing the panel that will hold the boards and installing the hardware which controls the cameras.

The goal is to provide a solution that will be easily integrated in production processes allowing real-time capture, 3D reconstruction and inspection of factory produced parts.

Using Edge Computing, it will be possible to increase performance of data acquisition by improvements in the object detection algorithms, executed close to the cameras using low power consumption boards. These boards will be a key point to achieve code palatalization and network usage optimization.

Network Scheduling for Critical Traffic - FitOptiVis FitOptiVis 30/08/2019

Seven Solutions aims to measure and evaluate the real time requirements and RT-QoS. Through the incorporation of Time Sensitive Networking-based techniques, Seven Solutions brings robustness and reliability to Ethernet by offering IEEE standard communication technology with mechanisms to enable the coexistence of critical and best effort data within the same network. To make these improvements, Seven Solutions will deal with bandwidth reservation for critical traffic and by using a common notion of time, Seven Solutions will provide traffic scheduling.

Network Scheduling for Critical Traffic - FitOptiVis FitOptiVis Seven Solutions aims to measure and evaluate the real time requirements and RT-QoS. Through the incorporation of Time Sensitive Networking-based techniques, Seven Solutions brings robustness and reliability to Ethernet by offering IEEE standard communication technology with mechanisms to enable the....

Smart Camera with Embedded Object Detection - FitOptiVis FitOptiVis 30/08/2019

As a part of traffic surveillance use case, we integrate advanced HDR image capturing and object detection in FPGA, targeting Zynq platform in a smart camera. The camera will capture multi-exposure Full-HD video at 90 FPS and merge the image stream to 30 FPS tone-mapped HDR video using novel motion-aware merging algorithm.

Smart Camera with Embedded Object Detection - FitOptiVis FitOptiVis As a part of traffic surveillance use case, we integrate advanced HDR image capturing and object detection in FPGA, targeting Zynq platform in a smart camera. The camera will capture multi-exposure Full-HD video at 90 FPS and merge the image stream to 30 FPS tone-mapped HDR video using novel motion-...

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From the cloud to the edge

The objective of FitOptiVis is to develop an integral approach for smart integration of image- and video-processing pipelines for CPS covering a reference architecture, supported by low-power, high-performance, smart devices, and by methods and tools for combined design-time and run-time multi-objective optimisation within system and environment constraints. Low latency Image processing is often crucial for autonomy, and performing the right interaction of the CPS with its environment. The most important CPS in the project have sensors and processing at distributed places. For many reasons (parts of) CPS has to operate on low energy, whereas the complete system needs results with low latency. The focus of the project is on multi-objective optimisation for performance and energy use. However, other qualities, like reliability, security etc. also play a role in the optimisation.

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