ConcreteScan AI | Hardware Product Concept
ConcreteScan AI
Handheld maps reinforcement and flags potential conflicts for trained professional verification before drilling.
Designed for MEP, civil teams. Source profile: Idea / Research; feasibility: Medium; prototype complexity: High.
Project text and technical scope
Problem addressed
Current Construction workflows often depend on manual checks, disconnected devices and delayed evidence.
Product vision
Handheld maps reinforcement and flags potential conflicts for trained professional verification before drilling.
Hardware platform
Rebar scanner/GPR + camera + distance encoder
Sensors and inputs
Radar response, distance, image
AI and software
Rebar/layout interpretation
User workflow
MEP, civil 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/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
Never claim guaranteed safe drilling; trained verification required.
Operational value
Device + 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
Device + software
Differentiation
Makes subsurface scan easier to interpret.
Demo scenario
Show a realistic operator using ConcreteScan AI; capture sensor/device event → AI analysis → alert/recommendation → human action → report.