Overview of the online demo
This online demo shows Klepsydra AI in action and the power of our.algorithm to process datain real time. Specifically, this demo demonstrates the pose determination of an asteroid using artificial intelligence algorithms.
The use of AI is very attractive to the Space sector, but its intensive power consumption currently prevents its use in real missions. Klepsydra solves this challenge for the Space sector with the advanced algorithms and low power consumption of Klepsydra AI.
The demo presents the output of three different products: Klepsydra AI, TensorFlowLite and OpenCV. During the demo, the output of these three products shows in real time the video streaming of processed images, CPU usage and data throughput. This allows users to visually observe the different performance of all three products and more importantly, the power of Klepsydra AI.
Artificial intelligence (AI) is becoming instrumental in solving all kind of real life problems: computer vision, face recognition, robotics applications, health care, etc. However, there are some challenges related to computing power requirements when running AI models, especially in the case of edge computing, i.e, in small devices like car computers, IoT, etc.
One challenge is AI model performance in small computers, which is usually very poor. Current solutions for AI on the edge experonce limitations in data processing volume such as data losses, long latencies and CPU saturation.
Klepsydra has solved these problems by developing an inference engine, based on our advanced software algorithms, that executes AI models more efficiently. Consequently, Klepsydra processes 2x more data with 50% less CPU than the leading competition, as you will see in the demo.
This demo is a joint effort with several parties. The original images, out of which the synthetic images in the demo are made, come from the ESA Rosetta mission, the AI algorithm was developed in collaboration with the Universidad Carlos III, and in particular by the research group run by Manuel Sanjurjo. Without them, this demo would have not been possible.