Image Analytics for Drone Based Monitoring Systems
We are building an end-to-end pipeline for analyzing images from a drone as it flies in an indoor industrial facility. We utilize this work to monitor growth in indoor farms and track inventory in warehouses, among many other industrial applications.
AeroFarms and Nokia Bell Labs combine their expertise in cutting-edge networking, autonomous systems, and integrated machine vision and machine learning technologies to identify and track plant interactions.
Automatic Creation of 3D Digital Twins
We combine inputs from diverse IoT sensors to build photorealistic 3D digital twins of industrial facilities. We use these digital twins, in combination with other services such as localization and semantic segmentation, to reflect ongoing industrial activity and control the operation of the facility.
Asset tracking in a 3D digital twin
APA style publications
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A. Nguyen, T. Pamuklu, A. Syed, W. Kennedy, M. Kantarci. “Reinforcement Learning-Based Deadline and Battery-Aware Offloading in Smart Farm IoT-UAV Networks”. In Proceedings of IEEE International Conference on Communications (ICC). 2022 [pdf]
