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English hero board for EvidenceVault USB hardware product concept
English hero board · illustrative hardware product concept
Secure Storage · Product concept

EvidenceVault USB

Drive automatically records custody, authorized unlocks and evidence package hashes.

ST-HW-3033Law Enforcement / Audit

Designed for Investigators, auditors. Source profile: Idea / Research; feasibility: Medium; prototype complexity: High.

Project text and technical scope

Problem addressed

Current Law Enforcement / Audit workflows often depend on manual checks, disconnected devices and delayed evidence.

Product vision

Drive automatically records custody, authorized unlocks and evidence package hashes.

Hardware platform

Encrypted USB + keypad/fingerprint + tamper sensor

Sensors and inputs

Unlock events, hashes, custodian

AI and software

Chain-of-custody metadata agent

User workflow

Investigators, 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

USB + optional NFC

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

Legal evidentiary procedures and certified crypto may be required.

Operational value

Hardware + secure audit 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

Hardware + secure audit software

Differentiation

Digital evidence media with custody-aware controls.

Demo scenario

Show a realistic operator using EvidenceVault USB; capture sensor/device event → AI analysis → alert/recommendation → human action → report.