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English hero board for Evidence Chain Scanner hardware product concept
English hero board · illustrative hardware product concept
RFID Handheld · Product concept

Evidence Chain Scanner

Secure scan-and-sign workflow for physical evidence bags with photo, seal validation and custody history.

ST-HW-3010Security / Forensics

Designed for Security labs, evidence stores. Source profile: Idea / Research; feasibility: Medium; prototype complexity: High.

Project text and technical scope

Problem addressed

Current Security / Forensics workflows often depend on manual checks, disconnected devices and delayed evidence.

Product vision

Secure scan-and-sign workflow for physical evidence bags with photo, seal validation and custody history.

Hardware platform

RFID/NFC handheld + tamper tags + biometric login

Sensors and inputs

Tag ID, seal image, custodian, timestamp

AI and software

Evidence chain verification agent

User workflow

Security labs, evidence stores 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

Private Wi-Fi/5G

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

Strict legal chain-of-custody and access controls.

Operational value

Hardware + secure platform; 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 platform

Differentiation

Physical chain-of-custody with AI discrepancy detection.

Demo scenario

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