TruMark Annotator: Semi-Automated AI Trainer for EO/IR Detection Models

• Overview:

  TRUVIEW Annotator is a next-generation AI training and annotation platform designed to accelerate the development of visual detection models across electro-optical (EO) and infrared (IR) sensor systems. Built for defense, security, and industrial applications, TRUVIEW Annotator enables users to quickly label data, generate high-quality datasets, and train custom detection algorithms with unprecedented speed and accuracy.

  Developed over a 13-month cycle and proven during operational demonstrations, TRUVIEW Annotator has successfully trained more than 25 object classification models, including aircraft, vehicles, personnel, drones for C-UAS missions, and structural anomalies in buildings and infrastructure. Its semi-autonomous annotation workflow dramatically reduces manual labor, enabling both technical and non-technical users to create mission-ready AI models in a fraction of the time.

• Key Features:

  • Semi-Autonomous Annotation
    Accelerates dataset creation with automated labeling support that reduces manual workload and increases accuracy.

  • EO & IR Model Training
    Purpose-built to support algorithm development for both electro-optical and infrared visual detection systems.

  • Multi-Object Classification
    Proven performance training over 25 object classes, including aircraft, vehicles, personnel, drones (C-UAS), and infrastructure anomalies.

  • End-to-End Model Generation
    Enables users to annotate, train, validate, and refine AI detection models within a single integrated workflow.

  • High-Velocity Dataset Production
    Compresses traditional AI training cycles from weeks or months to days, improving iteration speed and operational readiness.

  • Optimized for Defense & Security Missions
    Designed for ISR, situational awareness, automated inspection, and C-UAS detection environments.

  • User-Friendly Interface
    Built for both technical and non-technical users, supporting rapid onboarding and cross-team collaboration.

  • Scalable Deployment Options
    Available as a standalone workstation tool or enterprise-wide platform through VESS and authorized partners.

• Mission Application:

  • Intelligence, Surveillance & Reconnaissance (ISR)
    Rapidly train custom detection models for real-time identification of aircraft, vehicles, and personnel across EO/IR sensor feeds.

  • Counter-Unmanned Aircraft Systems (C-UAS)
    Generate datasets and detection models tailored to small drone signatures for both day and nighttime interception environments.

  • Force Protection & Base Security
    Enhance perimeter surveillance systems with AI that can identify threats, anomalies, and suspicious activity with higher accuracy.

  • Autonomous Systems & Robotics
    Enable UAS, UGVs, and autonomous platforms to recognize mission-critical objects and navigate complex environments.

  • Critical Infrastructure Monitoring
    Detect cracks, thermal anomalies, structural deformation, and other abnormalities in bridges, buildings, and industrial sites.

  • Search & Rescue (SAR)
    Train specialized models capable of identifying humans, vehicles, or heat signatures in dense, low-visibility environments.

  • Border & Maritime Security
    Build models that identify vessels, vehicles, and personnel across mixed terrain and maritime EO/IR sensor configurations.

  • Disaster Response & Assessment
    Support rapid damage assessment through AI capable of flagging structural failures, debris patterns, and hazardous conditions.

• Specifications:

  • Software Type:
    Open-architecture AI training and annotation platform (software-only)

  • Supported Sensor Modalities:

    • Electro-Optical (EO)

    • Infrared (IR)

    • Supports still imagery and full-motion video inputs

  • Annotation Capabilities:

    • Semi-autonomous object labeling

    • Manual, assisted, and batch annotation modes

    • Polygon, bounding box, and pixel-level annotation tools

    • Automated dataset structuring and metadata tagging

  • Model Training Support:

    • Object detection and classification

    • Multi-class, multi-label support

    • Custom dataset generation

    • Integrated validation and retraining loop

  • Open Architecture:

    • Compatible with standard ML frameworks (e.g., TensorFlow, PyTorch)

    • Import/export of datasets in common formats (COCO, YOLO, custom)

    • Flexible integration with existing pipelines, mission systems, and autonomy stacks

    • API access for custom extensions and automation

  • Performance Highlights:

    • Successfully trained 25+ operational object classes

    • Scales from local workstation processing to distributed enterprise environments

    • Optimized for rapid dataset creation and high-velocity iteration cycles

  • User Interface:

    • Intuitive UI designed for both technical and non-technical users

    • Real-time progress monitoring and model performance metrics

    • Collaborative workspace options for distributed teams

  • Deployment Options:

    • Local installation

    • Secure network deployment

    • Integrates with government and industry partner environments

  • System Requirements (Representative):

    • Windows or Linux operating system

    • GPU acceleration recommended for training workflows

    • Network-enabled storage for large datasets (optional but recommended)

TRUMARK Annotator Results