CraneLift AR | Hardware Product Concept
CraneLift AR
Rigger sees planned crane radius, exclusion zone and load path cues.
Designed for Riggers, supervisors. Source profile: Idea / Research; feasibility: Medium; prototype complexity: High.
Project text and technical scope
Problem addressed
Current Lifting / Construction workflows often depend on manual checks, disconnected devices and delayed evidence.
Product vision
Rigger sees planned crane radius, exclusion zone and load path cues.
Hardware platform
AR glasses + UWB location + lift-plan model
Sensors and inputs
Position, lift plan, camera
AI and software
Lift-zone visualization
User workflow
Riggers, supervisors 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
UWB/Wi-Fi
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
Advisory only; must not replace approved lifting procedures.
Operational value
Hardware + project module; 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
Hardware + project module
Differentiation
Spatially visualizes lift controls.
Demo scenario
Show a realistic operator using CraneLift AR; capture sensor/device event → AI analysis → alert/recommendation → human action → report.