In the project HARMONY, Mission Embedded is developing an innovative and intelligent railway infrastructure monitoring system for railtracks.
The process of deploying AI models on real-time and safety-critical use-cases is challenging. The main objective is to find an AI model with an optimal trade-off between accuracy, latency, and memory footprint.
The railway system as a whole needs to become less expensive to stay competitive. In order to achieve this, vehicles need to become “smart”.
Smart machines are capable of making decisions and solving problems without human intervention.
Many people know about Artificial Intelligence, but how is it different from Machine Learning, Deep Learning and Neural Networks?