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201b13c a3abb2d 201b13c a3abb2d 201b13c fb4ca0a a3abb2d fb4ca0a 201b13c a3abb2d 201b13c a3abb2d 201b13c a3abb2d 201b13c a3abb2d 201b13c a3abb2d 201b13c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 | export const systemBrief = {
title: "Manufacturing Monitoring System",
goal:
"A real-time industrial monitoring platform for steel quality inspection with ROI localization, defect segmentation, automated reporting, database logging, and WebSocket-driven live operations.",
architectureFlow: [
{
title: "Camera and Image Intake",
detail: "Collect uploaded inspection images or live browser camera frames from the shop floor.",
},
{
title: "Steel ROI and Defect Engine",
detail: "Localize the steel inspection region first, then run defect segmentation only inside that ROI to reduce false positives.",
},
{
title: "Inspection Formatter",
detail: "Normalize decisions, recommendations, defect summaries, and annotated preview output.",
},
{
title: "Operational Data Layer",
detail: "Store JSON reports locally and persist inspection records to PostgreSQL when configured.",
},
{
title: "FastAPI Control Layer",
detail: "Expose REST endpoints for reports, analytics, uploads, camera frames, and system health.",
},
{
title: "WebSocket Event Stream",
detail: "Broadcast inspection snapshots and live updates to all connected operator dashboards.",
},
{
title: "React Monitoring Console",
detail: "Present live status, history, analytics, and camera-based inspection in a clean UI.",
},
],
backend: {
responsibilities: [
"Serve inspection data through REST endpoints.",
"Push real-time updates through WebSocket connections.",
"Connect to PostgreSQL through Supabase or fall back to local report storage.",
],
files: [
{
title: "api/main.py",
detail: "FastAPI app, REST endpoints, and /ws WebSocket entry point.",
},
{
title: "core/database.py",
detail: "Safe database access layer with optional runtime fallback.",
},
{
title: "core/config.py",
detail: "Environment-backed application settings and path configuration.",
},
{
title: "core/logger.py",
detail: "Structured logging for debugging and operational tracing.",
},
],
},
aiPipeline: {
files: [
{
title: "live_camera.py",
detail: "Simulated camera loop for offline inspection playback with the trained model.",
},
{
title: "inspection/service.py",
detail: "Unified runtime service for upload inspection, camera-frame inference, and preview overlays.",
},
{
title: "inspection/output_formatter.py",
detail: "Formats defect data, writes reports, stores records, and triggers live broadcasts.",
},
],
flow: [
{
title: "Capture",
detail: "Acquire a shop-floor image from upload, live camera, or the simulation loop.",
},
{
title: "Validate Surface",
detail: "Localize the steel ROI or reject the frame before segmentation so faces, tools, and background objects do not enter the defect pipeline.",
},
{
title: "Infer",
detail: "Run segmentation only inside the approved steel ROI and extract contours, defect boxes, severity, and geometry.",
},
{
title: "Decide",
detail: "Generate PASS, REVIEW, or FAIL decisions with operational recommendations.",
},
{
title: "Persist",
detail: "Save reports locally and write to PostgreSQL when a database is configured.",
},
{
title: "Broadcast",
detail: "Stream the inspection event to dashboards through WebSocket updates.",
},
],
},
database: {
table: "inspections",
columns: [
"id",
"timestamp",
"total_defects",
"minor",
"moderate",
"critical",
"decision",
"raw_data (JSON)",
],
},
frontend: {
structure: [
"src/components/Sidebar.jsx",
"src/pages/Dashboard.jsx",
"src/pages/History.jsx",
"src/pages/Live.jsx",
"src/pages/Analytics.jsx",
"src/App.jsx",
],
routing: [
"/ -> Dashboard",
"/history -> Inspection logs",
"/live -> Live monitoring",
"/analytics -> Charts and insights",
],
features: [
"Dashboard -> live status, defect counts, active alerts, and WebSocket updates.",
"History -> searchable inspection logs with report detail selection.",
"Live -> upload detection and browser camera inspection with annotated output.",
"Analytics -> Recharts-based trends, defect mix, and source usage.",
],
},
realtime: {
flow: [
"New inspection captured",
"Inspection formatted",
"Local and DB storage written",
"WebSocket event broadcast",
"Dashboard, history, and analytics refresh",
],
},
currentState: {
working: [
"AI detection pipeline",
"Steel ROI gate before defect segmentation",
"Local report persistence",
"REST API",
"Frontend routing",
"Dashboard UI",
"WebSocket live updates",
"Upload and camera inspection endpoints",
],
inProgress: [
"Detector model training with larger curated steel data",
"Cloud LLM API key configuration per deployment",
],
},
improvements: {
backend: [
"Async-safe WebSocket broadcasting.",
"Dropped-connection handling.",
"Graceful database fallback.",
],
frontend: [
"Organized industrial dashboard layout.",
"Clear loading and empty states.",
"Live connection feedback and camera workflow polish.",
],
realtime: [
"WebSocket-first streaming.",
"Heartbeat and reconnect handling.",
"Inspection preview return for live camera frames.",
],
features: [
"Live monitoring with upload and camera options.",
"Steel ROI localization before segmentation.",
"Analytics with inspection trends.",
"Alerts with visual and audio cues.",
],
},
finalSummary:
"This is a full-stack manufacturing monitoring system that localizes the steel inspection region, detects surface defects in real time, stores inspection data, and visualizes live operations through a responsive dashboard.",
}
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