.convoys/.metrics.jsonl

@@ -94,3 +94,10 @@
 {"ts": "2026-08-15T00:26:08Z", "role": "role-design-system-auditor", "convoy": "scanner-mobile-checkout", "repo": "tcg-vault", "skip_flags": [], "duration_s": 82, "multitask_group": "audit-scanner-mobile-checkout-local", "model": "cursor-grok-4.5-high", "model_tier": "audit"}
 {"ts": "2026-08-15T00:55:56Z", "role": "role-reviewer", "convoy": "tighten-scan-identify-hot-path", "repo": "scanner-identify-upgrade", "skip_flags": [], "brief": 0, "duration_s": 180, "multitask_group": "audit-tighten-scan-identify-hot-path-uncommitted", "model": "cursor-grok-4.5-high", "model_tier": "fast"}
 {"ts": "2026-08-15T00:56:39Z", "role": "role-implementer", "convoy": "scanner-mobile-checkout", "repo": "tcg-vault", "skip_flags": [], "brief": 4, "duration_s": 240, "outcome": "complete", "model": "composer-2.5-fast", "model_tier": "fast"}
+{"ts": "2026-08-15T01:24:40Z", "role": "role-ux-reviewer", "convoy": "improve-scan-card-detection", "repo": "scanner-identify-upgrade", "skip_flags": [], "duration_s": 120, "model": "composer-2.5-fast", "model_tier": "fast"}
+{"ts": "2026-08-15T01:24:40Z", "role": "role-architect", "convoy": "improve-scan-card-detection", "repo": "scanner-identify-upgrade", "skip_flags": [], "duration_s": 300, "model": "composer-2.5", "model_tier": "standard"}
+{"ts": "2026-08-15T01:24:40Z", "role": "role-implementer", "convoy": "improve-scan-card-detection", "repo": "scanner-identify-upgrade", "skip_flags": [], "brief": 1, "duration_s": 900, "outcome": "complete", "model": "composer-2.5-fast", "model_tier": "fast"}
+{"ts": "2026-08-15T01:24:40Z", "role": "role-implementer", "convoy": "improve-scan-card-detection", "repo": "scanner-identify-upgrade", "skip_flags": [], "brief": 2, "duration_s": 300, "outcome": "complete", "model": "composer-2.5-fast", "model_tier": "fast"}
+{"ts": "2026-08-15T01:24:40Z", "role": "role-reviewer", "convoy": "improve-scan-card-detection", "repo": "scanner-identify-upgrade", "skip_flags": [], "duration_s": 180, "outcome": "approved", "multitask_group": "audit-improve-scan-card-detection-local", "model": "cursor-grok-4.5-high", "model_tier": "audit"}
+{"ts": "2026-08-15T01:24:41Z", "role": "role-security-auditor", "convoy": "improve-scan-card-detection", "repo": "scanner-identify-upgrade", "skip_flags": [], "duration_s": 120, "outcome": "approved", "multitask_group": "audit-improve-scan-card-detection-local", "model": "gpt-5.6-terra-medium", "model_tier": "security"}
+{"ts": "2026-08-15T01:24:41Z", "role": "role-a11y-auditor", "convoy": "improve-scan-card-detection", "repo": "scanner-identify-upgrade", "skip_flags": [], "duration_s": 60, "outcome": "approved", "multitask_group": "audit-improve-scan-card-detection-local", "model": "cursor-grok-4.5-high", "model_tier": "audit"}

.convoys/improve-scan-card-detection.md

@@ -9,7 +9,7 @@ skip:
   - ia
   - ui-design
   - flag
-status: open
+status: in-progress
 created: 2026-08-14
 depends_on:
   - tighten-scan-identify-hot-path
@@ -104,9 +104,9 @@ either model.
 
 ## Todos
 
-- [ ] Architect: pick detector; document WASM / weight budget
-- [ ] Brief 1 — detect + warp library + tests
-- [ ] Brief 2 — wire `use-camera-scanner.js` + crop used by
+- [x] Architect: pick detector; document WASM / weight budget
+- [x] Brief 1 — detect + warp library + tests
+- [x] Brief 2 — wire `use-camera-scanner.js` + crop used by
       `identifyTrackedCardCapture`
 - [ ] Confirm `scanner-mobile-checkout` overlay still maps bounds
 - [ ] Re-measure L2 `not_a_card` share
@@ -149,3 +149,58 @@ Do not drop OpenCV.js in only to reimplement the current rectangle
 hunt. Success is a **rectified card image**, not a prettier box.
 This convoy unblocks Phase 3 — embeddings on unwarped phone photos
 will miss.
+
+## UX
+
+No new routes or screens. Brackets still render from axis-aligned
+`bounds`; the user sees the same overlay while the backend crop
+becomes perspective-corrected.
+
+### Timing
+
+- Bracket appearance unchanged (200ms detect interval, 800ms verify gate
+  from Phase 1).
+- Warp adds ~20–40ms on capture only — not on the detect loop.
+
+### Dual-card frames
+
+Tracker merge behavior unchanged: overlapping boxes collapse to one
+tracked card. Warp runs per tracked card at verify time.
+
+### Failure modes
+
+When corner refinement fails validation, fall back to the axis-aligned
+margin crop (same as pre-Phase-2). No new error toast.
+
+## Architecture
+
+### Decision D1 — Pure-JS contour corners + homography warp (not OpenCV.js WASM)
+
+OpenCV.js adds ~8MB WASM and a Turbopack dynamic-import footgun.
+Instead: keep the 320×240 Sobel edge map, refine four corners per
+candidate bbox via quadrant edge search, validate with
+`isValidCardQuad`, and warp with a small homography helper.
+
+Rejected: YOLO11n ONNX (weight hosting + license review), OpenCV.js
+(full WASM budget).
+
+### Decision D2 — Corners ride on tracked cards
+
+`mergeDetectedShapesIntoTrackedCards` stores `corners` alongside
+`bounds`. Overlay continues to use `bounds` only.
+
+### Decision D3 — Warp at capture time only
+
+`captureCardRegionFromVideo` calls `warpCardCaptureFromVideo` when
+four video-space corners exist; otherwise axis-aligned crop.
+
+### slice_dependencies
+
+| Brief | depends_on | files |
+| --- | --- | --- |
+| 1 detect + warp | [] | `lib/scanner-card-warp.js`, `lib/scanner-card-detection.js`, tests |
+| 2 wire capture | [1] | `lib/scanner-card-identify.js`, `lib/use-camera-scanner.js`, `ScannerCamera.js` |
+
+Serial implement: Brief 1 → Brief 2.
+
+Audit group id: `audit-improve-scan-card-detection-<pr>`.

.convoys/improve-scan-card-detection/brief-1-detect-warp-lib.md

@@ -0,0 +1,27 @@
+---
+convoy: improve-scan-card-detection
+brief_number: 1
+depends_on: []
+recommended_model: composer-2.5-fast
+model_tier: fast
+files:
+  - lib/scanner-card-warp.js
+  - lib/scanner-card-detection.js
+  - test/lib/scanner-card-warp.test.js
+  - test/lib/scanner-card-detection.test.js
+---
+
+# Brief 1: Quad corner detection + perspective warp
+
+## Goal
+
+Replace axis-only Sobel box hunt with four-corner refinement and a
+homography warp helper that produces rectified card JPEGs.
+
+## Acceptance criteria
+
+- [ ] `lib/scanner-card-warp.js` exports `orderQuadCorners`,
+      `computeHomography`, `warpCardCaptureFromVideo`
+- [ ] `detectCardShapesFromFrame` returns `corners` in video space
+- [ ] Tracker merge preserves `corners` on tracked cards
+- [ ] Unit tests for warp math + corner refinement

.convoys/improve-scan-card-detection/brief-2-wire-capture.md

@@ -0,0 +1,25 @@
+---
+convoy: improve-scan-card-detection
+brief_number: 2
+depends_on: [1]
+recommended_model: composer-2.5-fast
+model_tier: fast
+files:
+  - lib/scanner-card-identify.js
+  - lib/use-camera-scanner.js
+  - components/scanner/ScannerCamera.js
+---
+
+# Brief 2: Wire warped capture into identify + overlay a11y
+
+## Goal
+
+Use perspective-corrected crops for L1/L2 identify; keep overlay on
+axis-aligned bounds; add live-region label on detection brackets.
+
+## Acceptance criteria
+
+- [ ] `identifyTrackedCardCapture` passes `cardTracker.corners` to capture
+- [ ] `captureCardRegionFromVideo` warps when corners present, else fallback
+- [ ] `use-camera-scanner.js` comment no longer claims OpenCV
+- [ ] `DetectionFrame` exposes `role="status"` + `aria-label`

components/scanner/ScannerCamera.js

@@ -10,9 +10,17 @@ import { useScannerFlash } from '../../lib/use-scanner-flash.js';
 const TOAST_DURATION_MS = 2500;
 
 function DetectionFrame({ card, videoMetrics }) {
+  const label =
+    card.status === 'scanned'
+      ? `Card ${card.id} scanned`
+      : `Card ${card.id} identified`;
+
   return (
     <div
       className="absolute pointer-events-none scan-frame"
+      role="status"
+      aria-live="polite"
+      aria-label={label}
       style={{
         left: `${(card.bounds.x / videoMetrics.width) * 100}%`,
         top: `${(card.bounds.y / videoMetrics.height) * 100}%`,

lib/scanner-card-detection.js

@@ -1,3 +1,9 @@
+import {
+  boundsFromCorners,
+  isValidCardQuad,
+  orderQuadCorners,
+} from './scanner-card-warp.js';
+
 /** Detection canvas dimensions (smaller than video for performance). */
 export const DETECTION_CANVAS_WIDTH = 320;
 export const DETECTION_CANVAS_HEIGHT = 240;
@@ -52,6 +58,13 @@ export function convertToVideoCoordinates(detection, canvas, video) {
   };
 }
 
+/** Convert a point from detection canvas space to video pixel space. */
+export function convertPointToVideoCoordinates(point, canvas, video) {
+  const scaleX = video.videoWidth / canvas.width;
+  const scaleY = video.videoHeight / canvas.height;
+  return { x: point.x * scaleX, y: point.y * scaleY };
+}
+
 /** True when overlap area exceeds `threshold` of the smaller rectangle. */
 export function rectanglesOverlap(rect1, rect2, threshold = 0.3) {
   const x1 = Math.max(rect1.x, rect2.x);
@@ -69,9 +82,166 @@ export function rectanglesOverlap(rect1, rect2, threshold = 0.3) {
   return overlapArea / smallerArea > threshold;
 }
 
+function buildGrayscaleAndEdges(imageData, width, height) {
+  const data = imageData.data;
+  const grayscale = new Uint8Array(width * height);
+  const edges = new Uint8Array(width * height);
+
+  for (let i = 0, px = 0; i < data.length; i += 4, px++) {
+    grayscale[px] = Math.round(0.299 * data[i] + 0.587 * data[i + 1] + 0.114 * data[i + 2]);
+  }
+
+  for (let y = 1; y < height - 1; y++) {
+    for (let x = 1; x < width - 1; x++) {
+      const idx = y * width + x;
+
+      const gx =
+        -grayscale[idx - 1] +
+        grayscale[idx + 1] +
+        -2 * grayscale[idx - 1 + width] +
+        2 * grayscale[idx + 1 + width] +
+        -grayscale[idx - 1 + 2 * width] +
+        grayscale[idx + 1 + 2 * width];
+
+      const gy =
+        -grayscale[idx - width] -
+        2 * grayscale[idx] -
+        grayscale[idx + width] +
+        grayscale[idx - width + 2 * width] +
+        2 * grayscale[idx + 2 * width] +
+        grayscale[idx + width + 2 * width];
+
+      const magnitude = Math.sqrt(gx * gx + gy * gy);
+      edges[idx] = magnitude > 90 ? 255 : 0;
+    }
+  }
+
+  return { grayscale, edges };
+}
+
+/**
+ * Refine a coarse card bbox into four corners using edge strength in each quadrant.
+ * Exported for unit tests.
+ */
+export function refineCardCornersFromEdges(edges, width, height, bbox) {
+  const { x, y, width: boxWidth, height: boxHeight } = bbox;
+  const centerX = x + boxWidth / 2;
+  const centerY = y + boxHeight / 2;
+
+  const quadrants = [
+    { minX: x, maxX: centerX, minY: y, maxY: centerY },
+    { minX: centerX, maxX: x + boxWidth, minY: y, maxY: centerY },
+    { minX: centerX, maxX: x + boxWidth, minY: centerY, maxY: y + boxHeight },
+    { minX: x, maxX: centerX, minY: centerY, maxY: y + boxHeight },
+  ];
+
+  const corners = quadrants.map((quad) => {
+    let best = null;
+    let bestScore = -1;
+
+    for (let py = Math.floor(quad.minY); py < quad.maxY; py++) {
+      for (let px = Math.floor(quad.minX); px < quad.maxX; px++) {
+        if (px < 0 || py < 0 || px >= width || py >= height) continue;
+        const idx = py * width + px;
+        if (edges[idx] !== 255) continue;
+
+        const dx = px - centerX;
+        const dy = py - centerY;
+        const score = Math.hypot(dx, dy);
+        if (score > bestScore) {
+          bestScore = score;
+          best = { x: px, y: py };
+        }
+      }
+    }
+
+    if (!best) {
+      return {
+        x: (quad.minX + quad.maxX) / 2,
+        y: (quad.minY + quad.maxY) / 2,
+      };
+    }
+
+    return best;
+  });
+
+  return orderQuadCorners(corners);
+}
+
+function scoreCardCandidate(edges, width, height, bbox) {
+  const { x, y, width: w, height: h } = bbox;
+  let edgeCount = 0;
+  let totalPixels = 0;
+  let perimeterEdges = 0;
+
+  for (let sy = y; sy < y + h; sy += 3) {
+    for (let sx = x; sx < x + w; sx += 3) {
+      if (sx < 0 || sy < 0 || sx >= width || sy >= height) continue;
+      const idx = sy * width + sx;
+      totalPixels++;
+      if (edges[idx] !== 255) continue;
+      edgeCount++;
+      const isPerimeter =
+        sx < x + w * 0.15 || sx > x + w * 0.85 || sy < y + h * 0.15 || sy > y + h * 0.85;
+      if (isPerimeter) perimeterEdges++;
+    }
+  }
+
+  const edgeDensity = edgeCount / (totalPixels || 1);
+  const perimeterRatio = perimeterEdges / (edgeCount || 1);
+  if (edgeDensity <= 0.18 || edgeDensity >= 0.65 || perimeterRatio <= 0.35 || edgeCount <= 60) {
+    return null;
+  }
+
+  return edgeDensity * 100 + perimeterRatio * 60 + edgeCount / 10;
+}
+
+function findCardCandidates(edges, width, height) {
+  const minCardWidth = Math.floor(width * 0.2);
+  const maxCardWidth = Math.floor(width * 0.6);
+  const minCardHeight = Math.floor(height * 0.25);
+  const maxCardHeight = Math.floor(height * 0.7);
+  const candidates = [];
+
+  for (let y = 0; y < height - minCardHeight; y += 12) {
+    for (let x = 0; x < width - minCardWidth; x += 12) {
+      for (let w = minCardWidth; w <= maxCardWidth && x + w < width; w += 16) {
+        for (let h = minCardHeight; h <= maxCardHeight && y + h < height; h += 16) {
+          const aspectRatio = w / h;
+          if (aspectRatio < 0.63 || aspectRatio > 0.77) continue;
+
+          const score = scoreCardCandidate(edges, width, height, { x, y, width: w, height: h });
+          if (score == null || score <= 50) continue;
+
+          const corners = refineCardCornersFromEdges(edges, width, height, {
+            x,
+            y,
+            width: w,
+            height: h,
+          });
+          const bounds = boundsFromCorners(corners);
+          if (!isValidCardQuad(corners)) continue;
+
+          candidates.push({
+            x: bounds.x,
+            y: bounds.y,
+            width: bounds.width,
+            height: bounds.height,
+            corners,
+            score: score + (isValidCardQuad(corners) ? 20 : 0),
+            aspectRatio,
+          });
+        }
+      }
+    }
+  }
+
+  return candidates.sort((a, b) => b.score - a.score).slice(0, 5);
+}
+
 /**
  * Draw the current video frame on `detectionCanvas` and return up to 5 card-like
- * bounding boxes in video coordinates.
+ * detections in video coordinates, including perspective corners when found.
  */
 export function detectCardShapesFromFrame(video, detectionCanvas) {
   if (!video || !detectionCanvas) return [];
@@ -83,106 +253,27 @@ export function detectCardShapesFromFrame(video, detectionCanvas) {
   ctx.drawImage(video, 0, 0, detectionCanvas.width, detectionCanvas.height);
 
   const imageData = ctx.getImageData(0, 0, detectionCanvas.width, detectionCanvas.height);
-  const data = imageData.data;
-
-  const grayscale = [];
-  const edges = [];
-
-  for (let i = 0; i < data.length; i += 4) {
-    const gray = Math.round(0.299 * data[i] + 0.587 * data[i + 1] + 0.114 * data[i + 2]);
-    grayscale.push(gray);
-  }
-
-  for (let y = 1; y < detectionCanvas.height - 1; y++) {
-    for (let x = 1; x < detectionCanvas.width - 1; x++) {
-      const idx = y * detectionCanvas.width + x;
-
-      const gx =
-        -grayscale[idx - 1] +
-        grayscale[idx + 1] +
-        -2 * grayscale[idx - 1 + detectionCanvas.width] +
-        2 * grayscale[idx + 1 + detectionCanvas.width] +
-        -grayscale[idx - 1 + 2 * detectionCanvas.width] +
-        grayscale[idx + 1 + 2 * detectionCanvas.width];
-
-      const gy =
-        -grayscale[idx - detectionCanvas.width] -
-        2 * grayscale[idx] -
-        grayscale[idx + detectionCanvas.width] +
-        grayscale[idx - detectionCanvas.width + 2 * detectionCanvas.width] +
-        2 * grayscale[idx + 2 * detectionCanvas.width] +
-        grayscale[idx + detectionCanvas.width + 2 * detectionCanvas.width];
-
-      const magnitude = Math.sqrt(gx * gx + gy * gy);
-      edges[idx] = magnitude > 100 ? 255 : 0;
-    }
-  }
-
-  const cardShapes = [];
-  const { width, height } = detectionCanvas;
-
-  const minCardWidth = Math.floor(width * 0.2);
-  const maxCardWidth = Math.floor(width * 0.6);
-  const minCardHeight = Math.floor(height * 0.25);
-  const maxCardHeight = Math.floor(height * 0.7);
-
-  for (let y = 0; y < height - minCardHeight; y += 15) {
-    for (let x = 0; x < width - minCardWidth; x += 15) {
-      for (let w = minCardWidth; w <= maxCardWidth && x + w < width; w += 20) {
-        for (let h = minCardHeight; h <= maxCardHeight && y + h < height; h += 20) {
-          const aspectRatio = w / h;
-          if (aspectRatio < 0.63 || aspectRatio > 0.77) continue;
-
-          let edgeCount = 0;
-          let totalPixels = 0;
-          let perimeterEdges = 0;
-
-          for (let sy = y; sy < y + h; sy += 4) {
-            for (let sx = x; sx < x + w; sx += 4) {
-              const idx = sy * width + sx;
-              if (edges[idx] === 255) {
-                edgeCount++;
-
-                const isPerimeter =
-                  sx < x + w * 0.15 ||
-                  sx > x + w * 0.85 ||
-                  sy < y + h * 0.15 ||
-                  sy > y + h * 0.85;
-                if (isPerimeter) {
-                  perimeterEdges++;
-                }
-              }
-              totalPixels++;
-            }
-          }
-
-          const edgeDensity = edgeCount / totalPixels;
-          const perimeterRatio = perimeterEdges / (edgeCount || 1);
-
-          if (edgeDensity > 0.2 && edgeDensity < 0.6 && perimeterRatio > 0.4 && edgeCount > 80) {
-            const score = edgeDensity * 100 + perimeterRatio * 60 + edgeCount / 10;
-
-            if (score > 50) {
-              const videoCoords = convertToVideoCoordinates(
-                { x, y, width: w, height: h },
-                detectionCanvas,
-                video
+  const { edges } = buildGrayscaleAndEdges(
+    imageData,
+    detectionCanvas.width,
+    detectionCanvas.height
   );
 
-              cardShapes.push({
-                ...videoCoords,
-                score,
-                aspectRatio,
-                edgeDensity,
-              });
-            }
-          }
-        }
-      }
-    }
-  }
+  const candidates = findCardCandidates(edges, detectionCanvas.width, detectionCanvas.height);
 
-  return cardShapes.sort((a, b) => b.score - a.score).slice(0, 5);
+  return candidates.map((candidate) => {
+    const videoBounds = convertToVideoCoordinates(candidate, detectionCanvas, video);
+    const videoCorners = candidate.corners.map((corner) =>
+      convertPointToVideoCoordinates(corner, detectionCanvas, video)
+    );
+
+    return {
+      ...videoBounds,
+      corners: videoCorners,
+      score: candidate.score,
+      aspectRatio: candidate.aspectRatio,
+    };
+  });
 }
 
 /**
@@ -219,7 +310,15 @@ export function mergeDetectedShapesIntoTrackedCards(
     }
 
     if (matchedCard) {
-      matchedCard.bounds = { ...shape };
+      matchedCard.bounds = {
+        x: shape.x,
+        y: shape.y,
+        width: shape.width,
+        height: shape.height,
+      };
+      if (shape.corners?.length === 4) {
+        matchedCard.corners = shape.corners.map((corner) => ({ ...corner }));
+      }
       matchedCard.lastSeen = now;
       matchedCard.stableCount = Math.min(matchedCard.stableCount + 1, 10);
 
@@ -234,7 +333,13 @@ export function mergeDetectedShapesIntoTrackedCards(
     } else {
       const newCard = {
         id: idCounter++,
-        bounds: { ...shape },
+        bounds: {
+          x: shape.x,
+          y: shape.y,
+          width: shape.width,
+          height: shape.height,
+        },
+        corners: shape.corners?.length === 4 ? shape.corners.map((corner) => ({ ...corner })) : null,
         status: 'detecting',
         firstSeen: now,
         lastSeen: now,

lib/scanner-card-identify.js

@@ -1,3 +1,5 @@
+import { isValidCardQuad, warpCardCaptureFromVideo } from './scanner-card-warp.js';
+
 /** Default margin (px) around tracked bounds when cropping a card capture. */
 export const CAPTURE_MARGIN_PX = 20;
 
@@ -167,7 +169,23 @@ export function resolveDisambiguationRefineAction(result, { candidates }) {
 }
 
 /** Crop a tracked card region from the live video frame; returns a JPEG data URL. */
-export function captureCardRegionFromVideo(video, canvas, bounds, margin = CAPTURE_MARGIN_PX) {
+export function captureCardRegionFromVideo(
+  video,
+  canvas,
+  bounds,
+  margin = CAPTURE_MARGIN_PX,
+  corners = null
+) {
+  if (corners?.length === 4 && typeof document !== 'undefined' && isValidCardQuad(corners)) {
+    try {
+      return warpCardCaptureFromVideo(video, canvas, corners, {
+        jpegQuality: OCR_CAPTURE_JPEG_QUALITY,
+      });
+    } catch (warpError) {
+      console.warn('Perspective warp failed, falling back to axis-aligned crop:', warpError);
+    }
+  }
+
   const ctx = canvas.getContext('2d');
   const { x, y, width, height } = bounds;
 
@@ -283,7 +301,13 @@ export async function identifyTrackedCardCapture({
   authHeaders,
   visionCooldownUntilMs = 0,
 }) {
-  const imageData = captureCardRegionFromVideo(video, canvas, cardTracker.bounds);
+  const imageData = captureCardRegionFromVideo(
+    video,
+    canvas,
+    cardTracker.bounds,
+    CAPTURE_MARGIN_PX,
+    cardTracker.corners
+  );
 
   try {
     const l1 = await tryLayer1TextIdentify(imageData, authHeaders);

lib/scanner-card-warp.js

@@ -0,0 +1,271 @@
+/** Standard trading-card aspect ratio (width / height). */
+export const CARD_ASPECT_RATIO = 5 / 7;
+
+/** Order four corners as top-left, top-right, bottom-right, bottom-left. */
+export function orderQuadCorners(points) {
+  if (!points || points.length !== 4) {
+    throw new Error('orderQuadCorners expects exactly four points');
+  }
+
+  const sortedByY = [...points].sort((a, b) => a.y - b.y);
+  const top = sortedByY.slice(0, 2).sort((a, b) => a.x - b.x);
+  const bottom = sortedByY.slice(2, 4).sort((a, b) => a.x - b.x);
+
+  return [top[0], top[1], bottom[1], bottom[0]];
+}
+
+/** Axis-aligned bounds enclosing a quad. */
+export function boundsFromCorners(corners) {
+  const xs = corners.map((point) => point.x);
+  const ys = corners.map((point) => point.y);
+  const minX = Math.min(...xs);
+  const minY = Math.min(...ys);
+  const maxX = Math.max(...xs);
+  const maxY = Math.max(...ys);
+
+  return {
+    x: minX,
+    y: minY,
+    width: maxX - minX,
+    height: maxY - minY,
+  };
+}
+
+/** True when corners form a convex quad with plausible card aspect ratio. */
+export function isValidCardQuad(corners, { minAspect = 0.6, maxAspect = 0.8 } = {}) {
+  if (!corners || corners.length !== 4) return false;
+
+  const ordered = orderQuadCorners(corners);
+  const bounds = boundsFromCorners(ordered);
+  if (bounds.width < 20 || bounds.height < 28) return false;
+
+  const aspect = bounds.width / bounds.height;
+  if (aspect < minAspect || aspect > maxAspect) return false;
+
+  const area = polygonArea(ordered);
+  const boundsArea = bounds.width * bounds.height;
+  if (area / boundsArea < 0.55) return false;
+
+  return isConvexQuad(ordered);
+}
+
+function polygonArea(points) {
+  let sum = 0;
+  for (let i = 0; i < points.length; i++) {
+    const current = points[i];
+    const next = points[(i + 1) % points.length];
+    sum += current.x * next.y - next.x * current.y;
+  }
+  return Math.abs(sum) / 2;
+}
+
+function isConvexQuad(points) {
+  let sign = 0;
+  for (let i = 0; i < 4; i++) {
+    const a = points[i];
+    const b = points[(i + 1) % 4];
+    const c = points[(i + 2) % 4];
+    const cross = (b.x - a.x) * (c.y - b.y) - (b.y - a.y) * (c.x - b.x);
+    if (cross === 0) continue;
+    const currentSign = cross > 0 ? 1 : -1;
+    if (sign === 0) {
+      sign = currentSign;
+    } else if (sign !== currentSign) {
+      return false;
+    }
+  }
+  return sign !== 0;
+}
+
+/** Solve 8×8 homography mapping src quad → axis-aligned dst rectangle. */
+export function computeHomography(srcCorners, dstWidth, dstHeight) {
+  const src = orderQuadCorners(srcCorners);
+  const dst = [
+    { x: 0, y: 0 },
+    { x: dstWidth, y: 0 },
+    { x: dstWidth, y: dstHeight },
+    { x: 0, y: dstHeight },
+  ];
+
+  const rows = [];
+  for (let i = 0; i < 4; i++) {
+    const { x, y } = src[i];
+    const { x: u, y: v } = dst[i];
+    rows.push([x, y, 1, 0, 0, 0, -u * x, -u * y, u]);
+    rows.push([0, 0, 0, x, y, 1, -v * x, -v * y, v]);
+  }
+
+  const h = solveLinearSystem(rows);
+  return [
+    [h[0], h[1], h[2]],
+    [h[3], h[4], h[5]],
+    [h[6], h[7], 1],
+  ];
+}
+
+function solveLinearSystem(rows) {
+  const matrix = rows.map((row) => row.slice());
+  const size = 8;
+
+  for (let col = 0; col < size; col++) {
+    let pivotRow = col;
+    for (let row = col + 1; row < size; row++) {
+      if (Math.abs(matrix[row][col]) > Math.abs(matrix[pivotRow][col])) {
+        pivotRow = row;
+      }
+    }
+
+    if (Math.abs(matrix[pivotRow][col]) < 1e-9) {
+      throw new Error('Homography system is singular');
+    }
+
+    [matrix[col], matrix[pivotRow]] = [matrix[pivotRow], matrix[col]];
+
+    const pivot = matrix[col][col];
+    for (let j = col; j <= size; j++) {
+      matrix[col][j] /= pivot;
+    }
+
+    for (let row = 0; row < size; row++) {
+      if (row === col) continue;
+      const factor = matrix[row][col];
+      for (let j = col; j <= size; j++) {
+        matrix[row][j] -= factor * matrix[col][j];
+      }
+    }
+  }
+
+  return matrix.map((row) => row[size]);
+}
+
+function applyHomographyInverse(matrix, x, y) {
+  const denom = matrix[2][0] * x + matrix[2][1] * y + matrix[2][2];
+  const srcX = (matrix[0][0] * x + matrix[0][1] * y + matrix[0][2]) / denom;
+  const srcY = (matrix[1][0] * x + matrix[1][1] * y + matrix[1][2]) / denom;
+  return { x: srcX, y: srcY };
+}
+
+function invert3x3(matrix) {
+  const [
+    [a, b, c],
+    [d, e, f],
+    [g, h, i],
+  ] = matrix;
+
+  const A = e * i - f * h;
+  const B = -(d * i - f * g);
+  const C = d * h - e * g;
+  const D = -(b * i - c * h);
+  const E = a * i - c * g;
+  const F = -(a * h - b * g);
+  const G = b * f - c * e;
+  const H = -(a * f - c * d);
+  const I = a * e - b * d;
+  const det = a * A + b * B + c * C;
+
+  if (Math.abs(det) < 1e-9) {
+    throw new Error('Homography matrix is not invertible');
+  }
+
+  const invDet = 1 / det;
+  return [
+    [A * invDet, D * invDet, G * invDet],
+    [B * invDet, E * invDet, H * invDet],
+    [C * invDet, F * invDet, I * invDet],
+  ];
+}
+
+function sampleBilinear(data, width, height, x, y) {
+  const clampedX = Math.max(0, Math.min(width - 1, x));
+  const clampedY = Math.max(0, Math.min(height - 1, y));
+  const x0 = Math.floor(clampedX);
+  const y0 = Math.floor(clampedY);
+  const x1 = Math.min(x0 + 1, width - 1);
+  const y1 = Math.min(y0 + 1, height - 1);
+  const tx = clampedX - x0;
+  const ty = clampedY - y0;
+
+  const idx = (row, col) => (row * width + col) * 4;
+  const sample = (row, col) => {
+    const base = idx(row, col);
+    return [data[base], data[base + 1], data[base + 2], data[base + 3]];
+  };
+
+  const c00 = sample(y0, x0);
+  const c10 = sample(y0, x1);
+  const c01 = sample(y1, x0);
+  const c11 = sample(y1, x1);
+
+  const out = [0, 0, 0, 255];
+  for (let channel = 0; channel < 3; channel++) {
+    const top = c00[channel] * (1 - tx) + c10[channel] * tx;
+    const bottom = c01[channel] * (1 - tx) + c11[channel] * tx;
+    out[channel] = Math.round(top * (1 - ty) + bottom * ty);
+  }
+  return out;
+}
+
+/**
+ * Perspective-correct a card region from the live video frame.
+ * Returns a JPEG data URL sized to the card aspect ratio.
+ */
+export function warpCardCaptureFromVideo(
+  video,
+  canvas,
+  corners,
+  { jpegQuality = 0.92, maxWidth = 480 } = {}
+) {
+  if (!video || !canvas || !corners || corners.length !== 4) {
+    throw new Error('warpCardCaptureFromVideo requires video, canvas, and four corners');
+  }
+
+  const ordered = orderQuadCorners(corners);
+  const bounds = boundsFromCorners(ordered);
+  const outputHeight = Math.max(1, Math.round(maxWidth / CARD_ASPECT_RATIO));
+  const outputWidth = maxWidth;
+
+  const homography = computeHomography(ordered, outputWidth, outputHeight);
+  const inverse = invert3x3(homography);
+
+  const sourceCanvas = document.createElement('canvas');
+  sourceCanvas.width = video.videoWidth;
+  sourceCanvas.height = video.videoHeight;
+  const sourceCtx = sourceCanvas.getContext('2d');
+  sourceCtx.drawImage(video, 0, 0);
+  const sourceData = sourceCtx.getImageData(0, 0, sourceCanvas.width, sourceCanvas.height).data;
+
+  canvas.width = outputWidth;
+  canvas.height = outputHeight;
+  const ctx = canvas.getContext('2d');
+  const output = ctx.createImageData(outputWidth, outputHeight);
+
+  for (let y = 0; y < outputHeight; y++) {
+    for (let x = 0; x < outputWidth; x++) {
+      const mapped = applyHomographyInverse(inverse, x, y);
+      if (
+        mapped.x < bounds.x - 5 ||
+        mapped.y < bounds.y - 5 ||
+        mapped.x > bounds.x + bounds.width + 5 ||
+        mapped.y > bounds.y + bounds.height + 5
+      ) {
+        continue;
+      }
+
+      const rgba = sampleBilinear(
+        sourceData,
+        sourceCanvas.width,
+        sourceCanvas.height,
+        mapped.x,
+        mapped.y
+      );
+      const outIdx = (y * outputWidth + x) * 4;
+      output.data[outIdx] = rgba[0];
+      output.data[outIdx + 1] = rgba[1];
+      output.data[outIdx + 2] = rgba[2];
+      output.data[outIdx + 3] = 255;
+    }
+  }
+
+  ctx.putImageData(output, 0, 0);
+  return canvas.toDataURL('image/jpeg', jpegQuality);
+}

lib/use-camera-scanner.js

@@ -9,7 +9,7 @@ import {
 } from './scanner-card-detection.js';
 
 /**
- * Camera stream + OpenCV shape detection loop for the card scanner.
+ * Camera stream + card shape detection loop for the card scanner.
  * Identification callbacks stay in the parent component.
  */
 export function useCameraScanner({

test/lib/scanner-card-detection.test.js

@@ -3,6 +3,7 @@ import {
   convertToVideoCoordinates,
   mergeDetectedShapesIntoTrackedCards,
   rectanglesOverlap,
+  refineCardCornersFromEdges,
   selectCardsReadyForVerification,
   TRACK_STALE_MS,
 } from '../../lib/scanner-card-detection.js';
@@ -37,7 +38,19 @@ describe('convertToVideoCoordinates', () => {
 describe('mergeDetectedShapesIntoTrackedCards', () => {
   it('creates a new tracked card for an unmatched shape', () => {
     const now = 1_000_000;
-    const shape = { x: 10, y: 20, width: 100, height: 140, score: 80 };
+    const shape = {
+      x: 10,
+      y: 20,
+      width: 100,
+      height: 140,
+      score: 80,
+      corners: [
+        { x: 10, y: 20 },
+        { x: 110, y: 22 },
+        { x: 108, y: 160 },
+        { x: 12, y: 158 },
+      ],
+    };
 
     const { cards, nextCardId } = mergeDetectedShapesIntoTrackedCards([], [shape], 1, now);
 
@@ -47,7 +60,8 @@ describe('mergeDetectedShapesIntoTrackedCards', () => {
       status: 'detecting',
       stableCount: 1,
       scanAttempts: 0,
-      bounds: shape,
+      bounds: { x: 10, y: 20, width: 100, height: 140 },
+      corners: shape.corners,
     });
     expect(nextCardId).toBe(2);
   });
@@ -125,3 +139,31 @@ describe('selectCardsReadyForVerification', () => {
     expect(selectCardsReadyForVerification([retried], now)).toHaveLength(0);
   });
 });
+
+describe('refineCardCornersFromEdges', () => {
+  it('picks strong edge pixels near each quadrant corner', () => {
+    const width = 120;
+    const height = 168;
+    const edges = new Uint8Array(width * height);
+    const mark = (x, y) => {
+      edges[y * width + x] = 255;
+    };
+
+    mark(8, 10);
+    mark(110, 12);
+    mark(108, 156);
+    mark(10, 154);
+
+    const corners = refineCardCornersFromEdges(edges, width, height, {
+      x: 5,
+      y: 8,
+      width: 110,
+      height: 150,
+    });
+
+    expect(corners[0]).toEqual({ x: 8, y: 10 });
+    expect(corners[1]).toEqual({ x: 110, y: 12 });
+    expect(corners[2]).toEqual({ x: 108, y: 156 });
+    expect(corners[3]).toEqual({ x: 10, y: 154 });
+  });
+});

test/lib/scanner-card-warp.test.js

@@ -0,0 +1,93 @@
+import { describe, expect, it } from 'vitest';
+import {
+  boundsFromCorners,
+  computeHomography,
+  isValidCardQuad,
+  orderQuadCorners,
+} from '../../lib/scanner-card-warp.js';
+
+describe('orderQuadCorners', () => {
+  it('orders corners as top-left, top-right, bottom-right, bottom-left', () => {
+    const points = [
+      { x: 10, y: 10 },
+      { x: 90, y: 12 },
+      { x: 88, y: 140 },
+      { x: 12, y: 138 },
+    ];
+
+    expect(orderQuadCorners(points)).toEqual([
+      { x: 10, y: 10 },
+      { x: 90, y: 12 },
+      { x: 88, y: 140 },
+      { x: 12, y: 138 },
+    ]);
+  });
+});
+
+describe('boundsFromCorners', () => {
+  it('returns the enclosing axis-aligned rectangle', () => {
+    const corners = [
+      { x: 10, y: 20 },
+      { x: 110, y: 25 },
+      { x: 105, y: 165 },
+      { x: 15, y: 160 },
+    ];
+
+    expect(boundsFromCorners(corners)).toEqual({
+      x: 10,
+      y: 20,
+      width: 100,
+      height: 145,
+    });
+  });
+});
+
+describe('isValidCardQuad', () => {
+  it('accepts a convex card-shaped quad', () => {
+    const corners = [
+      { x: 0, y: 0 },
+      { x: 50, y: 0 },
+      { x: 50, y: 70 },
+      { x: 0, y: 70 },
+    ];
+    expect(isValidCardQuad(corners)).toBe(true);
+  });
+
+  it('rejects a quad with implausible aspect ratio', () => {
+    const corners = [
+      { x: 0, y: 0 },
+      { x: 200, y: 0 },
+      { x: 200, y: 70 },
+      { x: 0, y: 70 },
+    ];
+    expect(isValidCardQuad(corners)).toBe(false);
+  });
+});
+
+describe('computeHomography', () => {
+  it('maps source corners to the destination rectangle', () => {
+    const src = [
+      { x: 0, y: 0 },
+      { x: 100, y: 0 },
+      { x: 100, y: 140 },
+      { x: 0, y: 140 },
+    ];
+    const matrix = computeHomography(src, 200, 280);
+
+    const mappedTopLeft = applyForward(matrix, 0, 0);
+    expect(mappedTopLeft.x).toBeCloseTo(0, 4);
+    expect(mappedTopLeft.y).toBeCloseTo(0, 4);
+
+    const mappedBottomRight = applyForward(matrix, 100, 140);
+    expect(mappedBottomRight.x).toBeCloseTo(200, 4);
+    expect(mappedBottomRight.y).toBeCloseTo(280, 4);
+  });
+});
+
+function applyForward(matrix, x, y) {
+  const denom = matrix[2][0] * x + matrix[2][1] * y + matrix[2][2];
+  return {
+    x: (matrix[0][0] * x + matrix[0][1] * y + matrix[0][2]) / denom,
+    y: (matrix[1][0] * x + matrix[1][1] * y + matrix[1][2]) / denom,
+  };
+}