Date: Thursday, July 30, 2026 | 9:00am ET
Join us for a preview of two new custom tools designed to eliminate bottlenecks in scene development and synthetic data generation. This webinar explores how ThermoAnalytics’ Scene Creation Tool and Image Compositor Tool work in tandem to deliver high-fidelity thermal environments and massive synthetic datasets in a fraction of the time.
The Scene Creation Tool allows users to transform satellite imagery and topographical data into simulation-ready environments. Whether using real-world digital elevation maps or Perlin-noise-based topology, you can build realistic, full-fidelity thermal backdrops for Overhead Persistent Infrared (OPIR) training in under an hour.
The Scene Creation Tool allows users to transform satellite imagery and topographical data into simulation-ready environments. Whether using real-world digital elevation maps or Perlin-noise-based topology, you can build realistic, full-fidelity thermal backdrops for Overhead Persistent Infrared (OPIR) training in under an hour.
The Image Compositor Tool automates the integration of simulated target signatures into measured or synthetic backgrounds. The tool enables the generation of tens of thousands of unique composite images without manual intervention, handling pre- and post-processing to replicate specific sensor effects.
What You’ll Learn
- Workflow Integration: Implement MuSES’ Scene Creation Tool and Image Compositor Tool in typical scene and data generation pipelines via CoTherm.
- Enhanced Accuracy: Why high-fidelity backgrounds are critical for realistic thermal simulations and signature renderings
- ML Optimization: How automated composite images improve machine learning training models.
- Speed vs. Fidelity: Leveraging compositing to produce high-volume data faster than full scene rendering.
Who Should Attend
Engineers, data scientists, researchers, and defense technologists working with thermal imaging, machine learning, and UAV/ground vehicle detection
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Presenters
Audrey Levanen
Thermal / CFD Engineer
Audrey Levanen is a Thermal/CFD Engineer at ThermoAnalytics, Inc., where she supports defense-focused thermal and infrared modeling, synthetic data generation for AI/ML applications, and human comfort simulation projects. She has developed custom Python tools for automating image annotation and analyzing thermal comfort results, helping streamline workflows for both simulation and data science teams. Audrey joined ThermoAnalytics full-time in 2023 after interning with the company and earning her B.S. in Mechanical Engineering from Michigan Technological University.
Eli Datema
Thermal / CFD Engineer
Eli Datema is a Thermal/CFD Engineer at ThermoAnalytics, Inc., where he develops thermal and EO/IR models for defense and commercial applications using TAITherm, MuSES, and CoTherm. Based in the Calumet office, Eli specializes in creating high-fidelity scene simulations that support a range of use cases, including AI/ML algorithm development. He began his career at ThermoAnalytics as an intern in 2020 and joined full-time in 2021 after earning his B.S. in Mechanical Engineering from Michigan Technological University.
