CACI at GEOINT 2024

GEOINT
GEOINT

Visit CACI at GEOINT Symposium 2024

Overview

Meet CACI at GEOINT Symposium 2024

Government agencies need geospatial intelligence (GEOINT) solutions that are flexible, agile, and modern to meet today’s missions. CACI is at the forefront of leveraging the latest advancements in AI/ML, network modernization, and cyber capabilities for our customers. Mission success and information advantage is within reach thanks to our top engineering and analysis solutions, to include world-class intelligence experts and deep open-source data analysis.

Visit us May 5-8 at booth 1311 at GEOINT 2024 Symposium to learn more about our technology and expertise. And contact Don Rance at [email protected] for more about our GEOINT solutions.

Resources
ReBeDe
CACI’s ReBeDe is a breakthrough computational engine created by our AI experts that combines modern machine learning with AI to reason over and extract semantic meaning from video content – significantly improving analyst workflow.
Modular Multi Object Tracking System for Video – MOTE
CACI's modular, multi-object tracking system uses AI to identify and track objects such as vehicles and humans. This integrated deep learning-based neural network system can perform real-time detection in complex and noisy imagery situations.
Q&A with Brian No
In this interview, CACI’s AI Research and Development Manager Brian No discusses how the company’s AI and Deep Learning expertise and technology help vastly speed up imagery and full motion video analysis.
Zero Trust
CACI addresses zero trust requirements and initiatives through the Zero Trust Architecture Playbook. This playbook integrates best practices and lessons learned from multiple customer sets, vendors, and products to provide full coverage of all DoD Zero Trust Architecture elements.
FeatureTrace®
CACI's FeatureTrace tool revolutionizes the discipline of GEOINT analysis. Using deep learning and artificial intelligence (AI) tools and algorithms, the FeatureTrace tool saves hours of valuable manpower by automatically collecting key satellite and overhead imagery road features.
ReBeDe
CACI’s ReBeDe is a breakthrough computational engine created by our AI experts that combines modern machine learning with AI to reason over and extract semantic meaning from video content – significantly improving analyst workflow.
Modular Multi Object Tracking System for Video – MOTE
CACI's modular, multi-object tracking system uses AI to identify and track objects such as vehicles and humans. This integrated deep learning-based neural network system can perform real-time detection in complex and noisy imagery situations.
Q&A with Brian No
In this interview, CACI’s AI Research and Development Manager Brian No discusses how the company’s AI and Deep Learning expertise and technology help vastly speed up imagery and full motion video analysis.
Zero Trust
CACI addresses zero trust requirements and initiatives through the Zero Trust Architecture Playbook. This playbook integrates best practices and lessons learned from multiple customer sets, vendors, and products to provide full coverage of all DoD Zero Trust Architecture elements.
FeatureTrace®
CACI's FeatureTrace tool revolutionizes the discipline of GEOINT analysis. Using deep learning and artificial intelligence (AI) tools and algorithms, the FeatureTrace tool saves hours of valuable manpower by automatically collecting key satellite and overhead imagery road features.

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