Challenges Conclusion Clause Samples

Challenges Conclusion. The challenges might be summarised as more and more processing is required to process more and more sensors with always higher quality, bigger picture sizes and add more and more the capability to interpret the images (see Table 1). Table 1: Energy-efficient embedded image processing applications challenges. Sensors More sensors to capture the whole environment. More cameras with better quality and bigger image sizes. More complex, requiring more processing form the hardware. More in- Algorithms Energy and Power formation will be extracted from the images. More intelligence from the images and from other sources of information (other kind of sensors, communications between drones or cars, etc.). The energy consumption should ideally remain constant. While this might not be possible, it must be managed as more energy means big- ger batteries with higher costs and weight. Meeting the power-budget means much higher processing-efficiency is required. Development costs be as low as possible and time-to-market as short Development as possible. To achieve this, the development must rely on standard Costs Customer Price libraries and APIs. An operating system is required to capitalize on the implementation of optimized power-efficient libraries based on standard APIs. The markets addressed by TULIPP are highly competitive. Therefore the final cost of the solution must be controlled to be able to offer it at a price customers can afford.