Teledyne FLIR Unveils AI-Enabled Tool 'Prism AIMMGen' for Enhanced Target Recognition

Teledyne FLIR has launched Prism AIMMGen, a new tool that simplifies AI and machine learning (ML) model creation using synthetic data, providing a solution for commercial, defense, and first response industries.

Prism AIMMGen automates the highly intensive manual data labeling process by generating millions of annotated synthetic images in both visible light and infrared spectrums. These images simulate various environments and weather conditions, making the tool particularly useful for developing models involving rare or difficult-to-collect objects, such as military targets.

This service aims to overcome the challenges of real-world data collection, which can be costly or impossible for certain target classes. By using Prism AIMMGen, developers can generate AI-ready datasets in minutes, significantly reducing the engineering effort and cutting down on development timelines.

Key features of Prism AIMMGen include access to a large, ITAR-free data lake for multi-object detection use cases, and the ability to automatically label millions of images tailored to specific applications. It also provides automated model training, validation, and optimization on a secure, in-house machine learning infrastructure (MLOps).

AIMMGen