MACHINE LEARNING

NO LONGER MISS OPPORTUNITIES TO CREATE TRANSFORMATIONAL IMPROVEMENTS

Data that isn’t properly acquired and made actionable leads to missed opportunities

MACHINE LEARNING

NO LONGER MISS OPPORTUNITIES TO CREATE TRANSFORMATIONAL IMPROVEMENTS

Data that isn’t properly acquired and made actionable leads to missed opportunities

Aware® Deep Learning allows partners to run machine learning and AI algorithms for image processing and exploitation on large scale datasets in the air, on the ground, or in the cloud. Use existing ML models, or train new ones based on available imagery.

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Aware® Deep Learning allows partners to run Machine Learning and AI algorithms for image processing and exploitation on large scale datasets in the air, on the ground, or in the cloud.  Use existing models, or train new ones based on available imagery.

Request More Info

Benefits:

ML Processing Based on Flexible Neural Networks

Model Training

Bring Your Own Model

Object Detection and Classification

Intel on Machine Learning

Aware® Deep Learning allows partners to run AI algorithms for image processing directly within the workflows of Aware® Data Acquisition and Aware® Image Manager.  Partners can process extremely large image datasets through AI models to extract objects and classify features automatically. This approach allows our partner to focus on the organizational value of the information in collected datasets, not on the image processing itself.

Features:

Near Real-Time Processing

In-flight, near real-time processing of high-resolution imagery. Depending on image loads and compute resources, many workflows can be completed before landing.

Big Data Collection

Extremely large volumes of data- volumes 10x larger than most edge-based AI solutions can do with a single camera- processed in-flight and ready to aid decision makers upon landing.

Multi-Tier Machine Learning

Support for multi-tier models and smart filtering of imagery based on first-tier model outputs. Develop a dynamic workflow based on your specific problem domain.

End-to-end Framework

Integrated workflow and persistence of detected features and model outputs from in-flight acquisition to post-flight processing.  Begin processing in-flight and continue after landing without losing the benefits of the work already performed.

Flexible Workflows

Spatial processing, Object detection, image classification, and segmentation workflows based on state-of-the-art machine learning frameworks, including TensorFlow 2, PyTorch, and nVidia’s TensorRT.