Current tech: CMOS digital capture
The existing camera captures frames exactly as it does today. No hardware change, no firmware replacement, no recalibration.
Digital-analog event extraction
Incoming frames are converted from a dense frame representation into a sparse event representation. Only changes in the scene generate events; static regions generate nothing.
ERN-AI software with AI-Lego-Blocks
The ALB array processes the event stream directly. Motion detection, classification, and scene interpretation happen here, at the edge, on the event data rather than on full frames.
Reduced compute load
Downstream inference operates on a fraction of the original data volume. In tested 10×10 ALB array configurations, NuMorph measured approximately 500× compute load reduction.
Reduced bandwidth
Only events and derived results travel across the network. Raw video no longer needs to be transmitted or stored by default.
No Change to Your Hardware Stack
There is no requirement for any other change in the current digital CMOS hardware stack. ERN-AI is compatible with the cameras already installed and remains compatible with future neuromorphic sensing hardware as it becomes available.