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Feature Matrix & Product Roadmap

Museum AR Smart Glass Guide · HumanityAI'd — July 2026

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1. Feature matrix (v1.0 — shipping today)

Capability Status Notes
Hands-free exhibit recognition (CLIP + FAISS) ✅ Live Verified 0.995 similarity on enrolled exhibits
Multi-angle enrolment (1–3 photos/exhibit) ✅ Live Live index update, no retraining
8 languages (en, ar, fr, es, zh, ru, hi, de) ✅ Live Engine supports 23
Arabic + RTL content ✅ Live name_ar fields, RTL data model
Neural TTS narration (Chatterbox multilingual) ✅ Live Museum-tuned loudness, Opus
Human review/approval of narration ✅ Live Arabic requires explicit approval
Dwell-based auto-play ("look & listen") ✅ Live Tunable trigger/cooldown
WebRTC live streaming from glasses ✅ Live H.264, DataChannel results
Snapshot recognition (fallback) ✅ Live POST /recognize
Guided tours (ordered stops) ✅ Live Multilingual tour metadata
Sessions & engagement analytics ✅ Live Dwell, play-through, popular exhibits
Admin content panel ✅ Live CRUD museums/galleries/exhibits/translations
On-prem Docker deployment ✅ Live Single GPU host, no cloud
Prometheus/Grafana ops ✅ Live Metrics + dashboards
Glasses settings (web panel) ✅ Live Display/config for the fleet

2. Known limitations (honest)

  • Single-node / single-worker backend — one GPU box ≈ one museum, capped concurrent streams.
  • Narration generation is an admin/offline activity (GPU-intensive); runtime serving uses pre-generated audio.
  • Authentication and transport security are POC-grade — hardening scheduled (see Due-Diligence report).
  • WebRTC streaming path pending on-hardware capacity verification; snapshot path fully proven.

3. Roadmap

v1.1 — Hardening (0–3 months)

  • JWT validation + role-based access; per-device provisioned tokens; TLS + pinning on glasses
  • Background TTS job queue; thread-pooled inference (unblock event loop)
  • Automated tests + CI on both repos; dependency CVE upgrades
  • FAISS rebuild-from-DB durability; museum_id multi-tenant filtering

v1.5 — Reach & scale (3–6 months)

  • BYOD mode: visitor's own phone as an alternative to glasses (widen adoption)
  • Horizontal scale: stateless API + separate inference service (multi-museum, 100+ concurrent)
  • Thermal-adaptive capture ladder on glasses (battery/heat)
  • Offline narration bundle on glasses for zero-latency common exhibits

v2.0 — Experience (6–12 months)

  • Indoor positioning / wayfinding overlays ("navigate to the next tour stop")
  • Personalization: adaptive tour depth (kids / expert / accessibility modes)
  • Live analytics dashboard for curators (heat-maps of attention)
  • Voice Q&A: "tell me more about this artist" (on-prem LLM)

v2.x — Platform

  • Multi-site management console (museum groups / ministries of culture)
  • Content marketplace: share/curate exhibit packages across institutions
  • Accessibility: sign-language avatar track, audio-description mode for low-vision visitors

4. Differentiators to protect

  1. On-prem data sovereignty — no cloud egress of visitor imagery (procurement-critical in the GCC).
  2. Dwell "look & listen" UX — no buttons, no numbers, no app.
  3. Arabic-first multilingual pipeline with human approval — built for the region, not translated into it.
  4. Minutes-to-enrol content tooling — museums stay self-sufficient.