Acoustic Camera Viewer

How a microphone-array beamforming sound map overlays onto an image. Pick a scene, drag Heatmap opacity to fade the map over the photo.

Workflow & algorithm → the full pipeline: sensors → beamforming → road-plane geometry → lane attribution → ANPR fusion Config / calibration → each camera's 4-point ground homography (world ↔ pixel) + SoundCam pose
db
dB

low → high sound level (relative dB)

Explain — how the raw data maps to the image

1 · The microphone array
where the 56 mics physically sit (metres)
2 · The raw data
56 channels × samples — pressure vs time, one row per mic
raw 56-channel waveform
time →
3 · Delay-and-sum (the mapping)click the image above to focus the array there. Each mic is shifted by its travel-time delay, then all are summed.
focus: m
delay spread across array:
beam power (0 dB = on the source)
Raw — as recorded (arrivals misaligned)
Aligned — shifted by delay (coherent when on source)
Beamformer output = sum of the aligned channels — tall when the mics agree, flat when they cancel