Project improves image processing performance
The Towards Ubiquitous Low-power Image Processing Platforms (Tulipp) project has been announced to target the development of high performance, energy-efficient embedded systems for image applications.
Tulipp will focus on developing a reference platform for vision-based system designers that will define a set of guidelines for the selection of relevant combinations of computing and communication resources, while minimising energy resources and reducing development costs and time to market.
These guidelines will aim to tackle the design issue complexities surrounding the next generation of embedded image processing applications that are emerging in a range of industry sectors.
As part of the project, Tulipp will use these guidelines to develop an instance of the Tulipp reference platform, comprising of a scalable, low power board designed to meet typical embedded systems requirements of size, weight and power (SWaP), a low power operating system and image processing libraries, and an energy-aware tool chain.
Philippe Millet, Tulipp’s project co-ordinator, said: “Image processing applications stretch across an increasingly broad range of industrial domains and are reaching a higher level of complexity than ever before.
“The Tulipp reference platform will give rise to significant advances in system integration, processing innovation and idle power management to cope with the challenges this presents in increasingly complex vision-based systems.
By the end of the project in 2018, Tulipp expects its work to have extended the peak performance per Watt of image processing applications by four times, and average performance per Watt by ten times.
Tulipp is being funded with nearly €4m from Horizon 2020.