Drone AI and Autonomy

Drone companies worldwide are using autonomy and computer vision to enhance the capabilities and applications of drones significantly.

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Overview

The industries that will benefit from drone autonomy range from delivery, inspection, energy, infrastructure, agriculture, eCommerce, and more. Many drone companies currently apply autonomy using flight planning and geofencing software. However, computer vision applications such as detect and avoid, tracking, and classification will enable drones to operate at scale. As a result, data annotation will become critical in preparing the massive amount of labeled data needed to train drone algorithms.

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What We Offer

Data annotation, labeling, and quality assurance for 2-D, 3-D, and video
Dedicated and highly trained teams
Experience using all major 2-D and 3-D tools
Dozens of client projects in geospatial, time-based mapping, LiDAR, and more
Expertise annotating and labeling images, videos, point clouds, and 3-D renderings for inspections, digital twins, and infrastructure use cases

For us to continue growing our business, we needed a workforce provider whose team understood the technology, training and context we needed to provide to data labelers. CloudFactory has brought that expertise.

Mary Cudmore

Senior Director of Global Survey Operations

Drone Delivery and Drone Taxis

Companies developing delivery drones and drone taxis are applying AI techniques to help drones deliver goods and people safely and efficiently. Applications such as detect and avoid, detect and navigate, and precision landing will add predictability and reliability to drone operations as we move toward Beyond Visual Line of Sight (BVLOS) drone operations.

High-quality image annotation is critical in preparing the massive amount of complex training data needed to operate drones safely. CloudFactory’s extensive experience in autonomous vehicle and geospatial labeling make us the ideal partner for such projects.

Drone Inspections

Using drones to conduct inspections is saving time and money while keeping employees safe. Equipping drones with video and image cameras, along with LiDAR and other sensors, is helping industries collect vast amounts of data to help inspectors perform advanced data analytics. This data can also be used to train computer vision training models which gives drones the ability to detect and avoid obstacles in BVLOS environments.

Since incorporating computer vision techniques is a somewhat new approach for drone inspections, CloudFactory’s flexible hourly contracts and continuous feedback loop let you experiment and try new tasks without renegotiating contracts or changing teams.