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Machine Learning and Data Science

As our customers look for solutions to accelerate modernization efforts, Machine Learning and Data Science advancements will enhance operations and mission effectiveness. Our key strengths are innovative solutions and expertise in supervised and unsupervised machine learning algorithms to tackle challenging computer vision and image understanding problems. Key areas of focus include Deep Learning, Computer Vision, Image Processing, Video Understanding, Pattern Recognition, Data Mining and Data Analytics.
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BENEFITS

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Accelerate

​Machine Learning and Data Science approaches accelerate data and time intensive tasks

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Automate

Machine Learning and Data Science approaches automate repetitive or complex tasks

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Simplify

​Machine Learning and Data Science approaches can tackle complex problems that are too difficult for humans

APPROACHES

Regression

A machine learning technique to understand the relationship between independent variables or features and a dependent variable or outcome when the need is to predict numerical values.

Classification

A machine learning process that recognizes, understands, and groups objects and ideas into different categories.

Clustering

A machine learning technique which groups unlabeled datasets, used to categorize data points in similar groupings or clusters.

Anomaly Detection

A machine learning algorithm that identifies data points that don't fit normal patterns, used to find the outliers in the dataset.

Ranking

A machine learning algorithm to order the results of a request or a query based on some criteria.

Recommendation

A machine learning algorithm that uses Big Data to suggest or recommend additional products to consumers.

USE CASES

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Civilian Infrastructure

  • Civilian infrastructure needs to be accurately modeled to support training of Multi-Domain Operations (MDO) in urban settings

  • Modern simulation environments generally do not contain high fidelity civilian infrastructure features

  • Dignitas uses machine learning to extract civilian infrastructure features from imagery and enhance civilian infrastructure models

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Data Analytics

  • Test and evaluation of new unmanned technologies results in an exceptional amount of data

  • Data analysis and visualization techniques support easier analysis of test outcomes

  • Dignitas uses machine learning to detect patterns, trends, and outliers, highlighting results for closer inspection

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Gesture Recognition

  • Identifying human pose, movement, and actions to support force protection and training use cases 

  • Dignitas is using Deep Learning algorithms for body joint detection and human pose estimation.

  • Research expands to semantic scene understanding, action recognition, correlation between gestures, performance-based proficiency detection to provide unapplied sensing of human pose and behavior prediction

MORE INFORMATION

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© 2026 Dignitas Technologies, LLC. All Rights Reserved.

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