Swim ESPTM is a streaming data analytics engine that applies machine learning in real-time, taking advantage of a distributed learning architecture to gain efficiency, ensure security and high availability, and to permit rapid and reliable dissemination of learned insights. Swim ESP is self-training and operates in real-time, training and learning continually from data streams.
Swim Swarm demonstrates how Swim ESPTM for Autonomous Vehicles can be used to transform devices such as Unmanned Aerial Vehicles (UAVs) from low-value data into an affordable source of low-rate but high value insights, which are able to autonomously make fast-timescale decisions. Swim also controls the UAVs as they execute their mission as a swarm.
Unmanned Aerial Vehicles (UAVs) and other autonomous technologies provide new opportunities for industrial automation. With use cases in security, surveying, delivery, insurance, and more, businesses can combine software and drone technologies to reduce manual effort and efficiently complete tasks that would otherwise be time and labor-intensive.