RESULTS · PROOF OF CONCEPT

ERN-AI Proof-of-Concept Results

NuMorph has completed proof-of-concept demonstrations of ERN-AI software. The following results are measured, not modeled.

Verified Capabilities

Works with current & future sensing tech

ERN-AI operates on conventional digital CMOS camera output today and is architecturally compatible with neuromorphic sensors as they reach the market.

Motion detection in low light

Event-driven motion detection and classification in daylight and below 5 lux, without infrared illumination or IR sensors — removing both the hardware cost and the deployment visibility of IR arrays.

Validated across five configurations

Testing covered 1×1, 3×3, 5×5, 7×7, and 10×10 ALB-array configurations.

~500× compute load reduction

At the 10×10 ALB array configuration, ERN-AI demonstrated approximately 500× reduction in compute load relative to frame-based processing of the same input.

Test Summary

Array configurations tested1×1, 3×3, 5×5, 7×7, 10×10
Compute load reduction (10×10)~500×
Minimum illumination< 5 lux
IR sensors requiredNone
Input sourceStandard video camera
Demo availableYes — video, on request

A demonstration video showing video camera input analysis with a 3×3 ERN-AI ALB array is available.