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Visual Gallery
SEGMENTATIONDETECT · 3 OBJPERSON 0.97VEHICLE 0.88PERSON 0.91

Machine vision

The world shown the way a computer perceives it: detection boxes, labels and false-color analysis passes.

Palette

  • Footage dark#0B0F14 · 55%
  • Street gray#3A4250 · 20%
  • Detection green#39FF88 · 12%
  • Cyan#4FD8FF · 8%
  • Lock red#FF3B3B · 5%

Visual traits

  • Thin 1–2px rectangular boxes surround each detected object, with corner brackets and a small filled label tag reading the class in uppercase monospace with a confidence value (PERSON 0.97)
  • Every box and line is one saturated hue (green or cyan); a single locked target uses a contrasting hue (red or amber) with a crosshair
  • False-color analysis passes replace the picture: flat segmentation colors per class, a near-bright depth ramp, white edge-line drawing or a heatmap of attention
  • People are drawn as keypoint skeletons (dots joined by colored limb lines), and motion as a grid of small arrows
  • Passes wipe in and out along a straight divider; a scan line sweeps at a constant rate and boxes flicker briefly when acquired

For AI

MarkdownJSON

Prompt

Machine-vision video overlay: a dark street scene seen by a computer, every person and vehicle enclosed in thin 1–2px green bounding boxes with corner brackets and small filled label tags in uppercase monospace with confidence values (PERSON 0.97, VEHICLE 0.88), one target locked in red with a crosshair. Half of the frame is wiped to a false-color semantic segmentation pass with flat colors per class and white edge lines. A horizontal scan line, keypoint skeletons on pedestrians, minimal glow.

Negative prompt

sci-fi cockpit HUD, circular gauges, robot eye, iris scan, real faces, cluttered full-screen interface, warm cinematic grading