A multi-sensor correlation panel with per-sensor confidence bars and computed connector paths that merge holding sensors into one fused track node, with a Bayesian-combined confidence readout.
npx shadcn@latest add @paragon/sensor-fusion"use client";
import * as React from "react";
import { useReducedMotion } from "motion/react";
import { Radar, Satellite, Radio, Waves } from "lucide-react";
import { cn } from "@/lib/utils";
export interface SensorContribution {
id: string;
name: string;
kind: "radar" | "eo" | "elint" | "acoustic";
/** Per-sensor confidence, 0–1. */
confidence: number;
/** Whether this sensor currently holds the track. */
holding: boolean;
}
export interface SensorFusionProps extends React.ComponentProps<"div"> {
sensors?: SensorContribution[];
trackId?: string;
static?: boolean;
}
const KIND_ICON = {
radar: Radar,
eo: Satellite,
elint: Radio,
acoustic: Waves,
};
const DEFAULT_SENSORS: SensorContribution[] = [
{ id: "s1", name: "AN/SPY-6", kind: "radar", confidence: 0.92, holding: true },
{ id: "s2", name: "MTS-B EO/IR", kind: "eo", confidence: 0.74, holding: true },
{ id: "s3", name: "ELINT-4", kind: "elint", confidence: 0.58, holding: true },
{ id: "s4", name: "SONAR-A", kind: "acoustic", confidence: 0.31, holding: false },
];
// Bayesian-style fusion: 1 - Π(1 - c) over holding sensors.
function fuse(sensors: SensorContribution[]) {
const held = sensors.filter((s) => s.holding);
if (held.length === 0) return 0;
const miss = held.reduce((acc, s) => acc * (1 - s.confidence), 1);
return 1 - miss;
}
/**
* A multi-sensor fusion panel. Each contributing sensor shows a confidence
* bar; the SVG on the right connects the holding sensors' output nodes into a
* single fused track node, with the connector opacity scaled by each sensor's
* confidence — all node coordinates computed from the row layout, none
* eyeballed. The fused confidence uses a Bayesian combine and springs its
* readout. Reduced motion drops the flowing dashes.
*/
export function SensorFusion({
sensors = DEFAULT_SENSORS,
trackId = "TK-1174",
static: isStatic = false,
className,
...props
}: SensorFusionProps) {
const reduced = useReducedMotion();
const fused = fuse(sensors);
const held = sensors.length;
// Node geometry: sensors stacked on the left rail, fused node centered right.
const W = 120;
const H = 96;
const leftX = 8;
const rightX = W - 12;
const rightY = H / 2;
const rowY = (i: number) => ((i + 0.5) / sensors.length) * H;
return (
<div
className={cn(
"w-full max-w-md rounded-xl bg-card p-4 text-card-foreground shadow-border",
className,
)}
{...props}
>
<style href="paragon-sensor-fusion" precedence="paragon">{`
@keyframes pg-fusion-flow { to { stroke-dashoffset: -8; } }
.pg-fusion-link { animation: pg-fusion-flow 0.9s linear infinite; }
@media (prefers-reduced-motion: reduce) { .pg-fusion-link { animation: none; } }
`}</style>
<div className="mb-3 flex items-center justify-between">
<div>
<p className="text-[10px] uppercase tracking-wider text-muted-foreground">
Sensor Fusion
</p>
<p className="font-mono text-sm font-semibold">{trackId}</p>
</div>
<span className="rounded-md bg-secondary px-1.5 py-0.5 text-[10px] tabular-nums text-muted-foreground">
{held} sensors
</span>
</div>
<div className="grid grid-cols-[1fr_140px] gap-3">
<ul className="flex flex-col gap-2">
{sensors.map((s) => {
const Icon = KIND_ICON[s.kind];
return (
<li key={s.id} className="flex items-center gap-2">
<Icon
className={cn(
"size-3.5 shrink-0",
s.holding ? "text-foreground" : "text-muted-foreground/50",
)}
/>
<span className="w-20 shrink-0 truncate font-mono text-[11px]">
{s.name}
</span>
<span className="h-1.5 flex-1 overflow-hidden rounded-full bg-secondary">
<span
className="block h-full rounded-full bg-primary transition-[width,opacity] duration-(--duration-base) ease-(--ease-out)"
style={{
width: `${Math.round(s.confidence * 100)}%`,
opacity: s.holding ? 1 : 0.35,
}}
/>
</span>
<span className="w-7 shrink-0 text-right tabular-nums text-[10px] text-muted-foreground">
{Math.round(s.confidence * 100)}
</span>
</li>
);
})}
</ul>
<div className="relative">
<svg viewBox={`0 0 ${W} ${H}`} className="h-full w-full">
{sensors.map((s, i) => {
const y = rowY(i);
const midX = (leftX + rightX) / 2;
const d = `M ${leftX} ${y} C ${midX} ${y}, ${midX} ${rightY}, ${rightX} ${rightY}`;
return (
<g key={s.id}>
<path
d={d}
fill="none"
stroke="var(--color-primary)"
strokeOpacity={s.holding ? 0.25 + s.confidence * 0.55 : 0.1}
strokeWidth={0.8 + s.confidence * 1.4}
strokeLinecap="round"
strokeDasharray={s.holding ? "3 4" : "1 4"}
className={s.holding && !isStatic && !reduced ? "pg-fusion-link" : undefined}
vectorEffect="non-scaling-stroke"
/>
<circle
cx={leftX}
cy={y}
r={2}
fill={s.holding ? "var(--color-primary)" : "var(--color-muted-foreground)"}
/>
</g>
);
})}
{/* fused node */}
<circle cx={rightX} cy={rightY} r={7} fill="var(--color-primary)" fillOpacity={0.14} />
<circle
cx={rightX}
cy={rightY}
r={4}
fill="var(--color-primary)"
stroke="var(--color-card)"
strokeWidth={1}
/>
</svg>
</div>
</div>
<div className="mt-3 flex items-center justify-between border-t border-border pt-3">
<span className="text-[11px] text-muted-foreground">Fused confidence</span>
<span className="font-mono text-lg font-semibold tabular-nums text-primary">
{Math.round(fused * 100)}%
</span>
</div>
</div>
);
}