BearingEar | Hardware Product Concept
BearingEar
Handheld listens to machines and fuses vibration/acoustic patterns for maintenance triage.
Designed for Maintenance teams. Source profile: Idea / Research; feasibility: High; prototype complexity: Medium.
Project text and technical scope
Problem addressed
Current Manufacturing workflows often depend on manual checks, disconnected devices and delayed evidence.
Product vision
Handheld listens to machines and fuses vibration/acoustic patterns for maintenance triage.
Hardware platform
Ultrasonic/acoustic probe + vibration sensor + handheld app
Sensors and inputs
Audio ultrasound, vibration, RPM
AI and software
Bearing fault classification
User workflow
Maintenance teams 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
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
Diagnostic aid, not sole basis for shutdown decisions.
Operational value
Sensor kit + software; 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
Sensor kit + software
Differentiation
Low-cost condition monitoring assistant.
Demo scenario
Show a realistic operator using BearingEar; capture sensor/device event → AI analysis → alert/recommendation → human action → report.