Computer Vision for Automated Inspection and Analysis

Development and deployment of computer vision systems that automate visual analysis tasks — object detection, classification, change detection, and anomaly identification — augmenting human analysts with AI-powered capabilities.

PRACTICE

Applied AI & Data Analytics

CLIENT PROFILE

DoD or federal organization requiring automated visual analysis capabilities for imagery interpretation, quality inspection, surveillance, or geospatial intelligence applications

Challenge

Human analysts unable to keep pace with the volume of imagery and video requiring review
Manual inspection processes that are slow, inconsistent, and fatiguing
Need for real-time or near-real-time visual analysis at edge locations

Approach

Curate and annotate training datasets representative of mission-specific visual tasks
Train and validate object detection, classification, and segmentation models
Optimize models for deployment on target hardware including GPU servers and edge devices
Implement human-in-the-loop workflows for model-assisted analysis with confidence scoring

Typical Outcomes

Automated detection and classification reducing analyst review burden
Consistent, repeatable analysis across large image and video datasets
Real-time visual analytics capability deployable to edge and tactical environments

Procurement Paths

NASA SEWP V for GPU compute infrastructure and edge devices
GSA MAS for computer vision development and integration services
ITES-4H for supporting Army hardware requirements

Partner Technology Examples

NVIDIA
AMD
Hewlett Packard Enterprise
Dell Technologies

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