Meet Cignal Engine: an environment to safely exercise and test AI vision models for homeland security applications.
The patented Cignal Engine* is designed to help scientists, engineers, and testers accelerate time-to-market, optimize performance, and reduce uncertainty for applications that rely on non-visible spectra.
Create digital clones of people, objects, and scenarios without security friction
Generate 2D and 3D labels and annotations automatically for image datasets
Reduce space, cost, and delays with lightweight Cignal Engine Extracting Datasets (CEEDs)
Verify safe and trustworthy AI using synthetic, multi-modal image streams
The Cignal Engine vision AI platform supports the full AI development lifecycle -
from initial concept, to testing, and final deployment.
Cignal Engine incorporates a number of innovations to improve the accuracy, performance, and safety of machine vision AI.
Infinite Objects
Infinite surface, shape, and material perturbation for continuous feature activation.
Cignal Echo
Create single-snapshot clones of imaging hardware for high-fidelity data generation.
CEED
Create massive datasets on-demand with Cignal Engine Extracting Datasets (CEEDs).
X-ray, gamma ray, infrared, and millimeter wave are a few examples of the wavelengths found in advanced security, inspection, screening, and defense use cases.
Traditionally, acquiring training or test data for these spectra is time-consuming and expensive, and it can easily exhaust memory, compute, and storage budgets.
Cignal's innovative approach allows these non-visible datasets to be created, shared, and stored faster, with fewer limitations, and at a greatly reduced cost.
