TULIPP Project book available now

The focus of the Tulipp project was the development of high-performance, energy-efficient embedded systems for the growing range of increasingly complex image processing applications. This book is the final outcome of the project.
A key objective of Tulipp was to carve out a path towards increased reuse and collaboration within industrial high-performance embedded image processing in Europe. This is not a simple task as future gains, such as those achieved through reuse and collaboration, are typically secondary to the immediate concern of getting products to the market.

Within the Tulipp project, we approached this issue on four fronts, and we have dedicated a part of this book to each approach.

Part I summarises the key requirements of industrial high-performance, low-power image processing systems which then lead to the definition of the foundational Tulipp Reference Platform (TRP). We then proposed an embedded platform – called the Tulipp Starter Kit (TSK) – which provides a physical and reusable instance of the foundational TRP.

Part II contains five papers that describe key components of the TSK.

Part III then exemplifies how the TSK can be used through five papers that describe diverse image processing systems including depth map computation for Unmanned Aerial Vehicles (UAVs), real-time image enhancement for a mobile X-ray machine, and an image analysis system that determines if an image captured by a satellite is sufficiently interesting to transmit to Earth.

Part IV describes how we established a European ecosystem of stakeholders as well as offering an industry perspective on the future evolution of high-performance embedded image processing.

• Discusses the development of high-performance, energy-efficient embedded systems for the growing range of increasingly complex image processing applications
• Covers the hardware architecture of embedded image processing systems, novel methods, tools and libraries for programming those systems as well as embedded operating systems to manage those systems
• Demonstrates results with several challenging applications, such as medical systems, robotics, drones and automotive