WeldEye | Hardware Product Concept
WeldEye
Captures weld video and machine parameters to flag likely process deviations for QA review.
Designed for Welders, QA. Source profile: Idea / Research; feasibility: Medium; prototype complexity: High.
Project text and technical scope
Problem addressed
Current Fabrication workflows often depend on manual checks, disconnected devices and delayed evidence.
Product vision
Captures weld video and machine parameters to flag likely process deviations for QA review.
Hardware platform
Smart welding helmet camera + current/voltage capture
Sensors and inputs
Video, current, voltage, time
AI and software
Weld process anomaly detection
User workflow
Welders, QA use the device in-field; the system captures data, analyses it, requests human confirmation where needed and records the outcome.
Edge processing
Run latency/privacy-critical inference on device/edge; use server for fleet analytics, RAG, orchestration and reporting.
Connectivity
Wi-Fi/BLE
Mobile experience
Device pairing, live status, guided workflow, alerts, evidence review, offline sync and user actions.
Operations console
Fleet/device map, live events, health, incident queue, analytics, reports, configuration and audit history.
Safety and compliance
Not a substitute for qualified weld inspection/NDT.
Operational value
Helmet module + QA platform; value comes from measurable safety, traceability, downtime reduction or workflow automation.
Security and privacy
Secure device identity, encrypted transport/storage, RBAC, audit logs, minimum necessary personal data and configurable retention.
Commercial model
Helmet module + QA platform
Differentiation
Creates searchable weld evidence linked to joint ID.
Demo scenario
Show a realistic operator using WeldEye; capture sensor/device event → AI analysis → alert/recommendation → human action → report.