Event Camera
A biologically inspired vision sensor in which each pixel independently and asynchronously monitors luminance changes, outputting an event stream only when brightness exceeds a threshold. Each event carries pixel coordinates, a microsecond-precision timestamp, and polarity. The sensor exhibits high temporal resolution, low latency, a high dynamic range exceeding 140 dB, and low power consumption.
Timeline (last 90 days)
SynAM-E is the first publicly available event camera benchmark dataset in the field of melt pool monitoring for metal additive manufacturing.
Event cameras only report information about brightness changes at each pixel with microsecond-level timestamps, rather than reading entire frames.
The dynamic range of event cameras can reach more than 140 dB, while traditional cameras are typically around 60 dB.
In a single-machine case study, the macro F1 metric for event-based spatial monitoring reached 0.874, roughly on par with the dense frame solution's 0.863.
Incorporating absolute intensity information yields only a marginal F1 improvement of +0.006.
In experiments on the NIST Additive Manufacturing Metrology Testbed (AMMT), the near-sensor event-rate counter restored intensity oscillations of 528.7 Hz, requiring only approximately 1/380 of the sensor readout of a frame data stream.
The study, published on arXiv, proposes replacing conventional frame cameras with event cameras for melt pool monitoring in metal additive manufacturing.
All Facts (7)
SynAM-E is the first publicly available event camera benchmark dataset in the field of melt pool monitoring for metal additive manufacturing.
50%UnverifiedEvent cameras only report information about brightness changes at each pixel with microsecond-level timestamps, rather than reading entire frames.
50%UnverifiedThe dynamic range of event cameras can reach more than 140 dB, while traditional cameras are typically around 60 dB.
50%UnverifiedIn a single-machine case study, the macro F1 metric for event-based spatial monitoring reached 0.874, roughly on par with the dense frame solution's 0.863.
50%UnverifiedIncorporating absolute intensity information yields only a marginal F1 improvement of +0.006.
50%UnverifiedIn experiments on the NIST Additive Manufacturing Metrology Testbed (AMMT), the near-sensor event-rate counter restored intensity oscillations of 528.7 Hz, requiring only approximately 1/380 of the sensor readout of a frame data stream.
50%UnverifiedThe study, published on arXiv, proposes replacing conventional frame cameras with event cameras for melt pool monitoring in metal additive manufacturing.
50%