Fast Event-based Neuromorphic Camera and Electronics (FENCE)
Abstract
The Fast Event-based Neuromorphic Camera and Electronics (FENCE) program will develop and demonstrate a low latency, low power event-based infrared (IR) camera to enable intelligent sensors for tactical DoD applications. Event-based imagers are an emerging class of sensors with major demonstrated advantages relative to traditional cameras. State-of-the-art visible event-based cameras have been shown to produce over two orders of magnitude less data in optimal conditions relative to traditional framing cameras because they transmit data only from pixels that have changed. This leads directly to two orders of magnitude lower data latency and a commensurate reduction in power consumption. Despite their inherent advantages, existing event-based cameras are not compatible with DoD applications because DoD applications regularly face conditions that are not naturally sparse, where issues such as clutter and noise would cause a large percentage of the event-based pixels to change simultaneously. When this happens, today's event-based cameras do not perform significantly better than traditional cameras. FENCE will develop an infrared event-based imager consistent with military requirements. FENCE will develop a four-megapixel asynchronous read-out integrated circuit (ROIC), co-designed with a 3D integrated processor that will intelligently remove noise and clutter to maintain low power and latency operation even when faced with all of the pixels firing simultaneously. If successful, this new class of sensors enabled by FENCE will be capable of responding to fast moving targets and discriminating dim targets in noisy conditions.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2023
- Source ID
- 1acac4d70c48198a7a5da9f3d52cdc62
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- Root: ELECTRONICS TECHNOLOGY