COI.
search Request for Consideration arrow_forward menu
close Submit Innovation
close
Sports verified Verified Outcome TRL 9

AI-Based Weapons Detection

domain Client: A leading English football club handshake Provider: Evolv Technology schedule Deploy: Q3 2023 (Expansion)
85 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

To harden stadium security without slowing down ingress, the venue replaced traditional metal detectors with AI-powered free-flow sensors. These scanners differentiate between personal items (phones, keys) and weapons (knives, guns) using magnetic signature analysis, allowing fans to walk through without emptying pockets.

rate_review Analyst Verdict

"A necessary evolution in physical security (PhySec). The bottleneck of 'emptying pockets' is a major operational pain. While false positives (e.g., umbrellas, laptops) remain a calibration challenge, the throughput gains are undeniable."

lock
Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Terrorism threats require strict screening, but traditional metal detectors create massive queues. Checking 50,000+ fans in 90 minutes often led to delayed kickoffs or unsafe crowding outside the gates.

psychology The Solution

Evolv Express scanners were deployed at entry points. The system uses extremely low-frequency radio waves and AI classification to scan people as they walk at a normal pace. Guards receive a tablet alert showing exactly where on the body a potential threat is located.

settings_suggest Technical & Deployment Specs

Integrations
CCTV, Access Control
Deployment Model
Hardware / SaaS
Data Classification
Security Data
Estimated TCO / ROI
High (SaaS Subscription)
POC Summary (2021-01-01 to 2021-06-01)

"Tested at training ground before stadium."

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
False Positives Medium Secondary screening area for flagged individuals.
Adversarial Attacks Low Confidentiality of detection algorithms.

trending_up Impact Trajectory

Audited value realization curve

Scanning speed: ~4,000 guests/hour Verified Outcome
Primary KPIReduction in nuisance alarms (keys/phones)
Audit CycleElimination of 'empty pockets' protocol

policy Compliance & Gov

  • Standards: GDPR, Safety at Sports Grounds Act
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Security Data

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
lock
verified_user
Technical Audit
PDF • Audited
lock

Related Intelligence

article
Interactive Connected Fitting Rooms
View Outcome →
article
Software Delivery Process Optimization
View Outcome →
article
Parametric Carbon Credit Insurance
View Outcome →
Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for A leading English football club without exposing sensitive IP or identities.

Private
lock_person

1. Raw Evidence

Audit ID: #PRIV-804
Evidence: Direct SQL Logs
Public
public

2. Verified Asset

Outcome: Verified
Ref ID: #COI-804

Strategic Action Center

Identify your current stage and take the next step.

rocket_launch
Replicate This Success
Want similar results? Request a deployment consultation.
psychology_alt
Submit Challenge
Have a different problem? Submit your problem statement.
publish
Publish Case Study
Submit your own verified evidence.
thumb_up
Verify Impact
Audit your existing solution.