Raqeeb RFID Hunter | Hardware Product Concept
Raqeeb RFID Hunter
Handheld that combines RFID, barcode and vision to locate missing assets, explain count variances and guide the operator shelf by shelf.
Designed for Warehouse staff, auditors. Source profile: Idea / Research; feasibility: High; prototype complexity: Medium.
Project text and technical scope
Problem addressed
Current Warehouse / Asset Management workflows often depend on manual checks, disconnected devices and delayed evidence.
Product vision
Handheld that combines RFID, barcode and vision to locate missing assets, explain count variances and guide the operator shelf by shelf.
Hardware platform
Rugged Android UHF RFID handheld + barcode + NFC + camera
Sensors and inputs
EPC, barcode, images, count variance, location
AI and software
On-device item recognition, anomaly detection, guided cycle-count agent
User workflow
Warehouse staff, auditors 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
4G/Wi-Fi/Bluetooth
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
UHF regulatory band must match country; privacy controls for images.
Operational value
Device + annual software license; 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 + annual software license
Differentiation
Turns a normal RFID gun into an AI inventory investigator.
Demo scenario
Show a realistic operator using Raqeeb RFID Hunter; capture sensor/device event → AI analysis → alert/recommendation → human action → report.