Verified Deployments
Proof. Not Promises.
Every case study below is a real deployment — real cameras, real detections, real outcomes. No camera replacements. No facial recognition. No new hardware costs.
Primary Deployment Record
Stadium Replaces Manual Monitoring. Saves $115,000 in Year One.
Big Ten University — Football Stadium — 70,000 Capacity
A major Big Ten university deployed IntelliSee AI across their 70,000-seat football stadium, replacing costly manual monitoring shifts with autonomous threat detection running across every camera simultaneously — 24/7, without additional staff.
- Weapon Detection
- Crowd Formation
- Loitering Detection
- Unauthorized Access
Stadiums & Venues
All Deployment Records
Twelve More Deployments. Twelve Different Threats Solved.
Hospital Reduces Patient Falls with AI-Powered Detection
A large hospital campus in Polk County, Iowa deployed IntelliSee across existing cameras to detect patient falls and dispatch nursing staff within seconds — without wearables or additional monitors.
1,300 Staff Protected — $0 New Hardware
Fall Detection Unauthorized Access Loitering
K-12 School District Deploys Full-Spectrum AI Safety
An Iowa school district transformed its existing camera network into a proactive safety system — detecting weapons, trespassers, and environmental hazards across all campus entry points and corridors.
Full Campus Covered — Existing Infrastructure Only
Weapon Detection Perimeter Control Slip Risk Loitering
Solar Energy Company Secures Remote Sites with AI
A West Coast clean energy producer needed cost-effective perimeter protection for multiple large-scale solar and wind sites — locations too remote for staffed security and too valuable to leave unguarded.
Multiple Sites Protected — 24/7 Autonomous Watch
Perimeter Control Vehicle Detection Loitering Detection
Manufacturer Reduces Insurance Premium with AI Safety Monitoring
An industrial manufacturer deployed IntelliSee to document proactive safety monitoring across their facility — generating the verified incident-prevention data their insurer required to reduce premiums.
Premium Reduced Proactive Safety as Financial Leverage
Slip Risk Detection Unauthorized Access Loitering
Multi-Site Retailer Reduces Slip Hazards and Loitering with AI Detection
A regional retail chain deployed IntelliSee across 12 locations to detect slip-and-fall hazards and loitering in real time — reducing liability exposure without collecting a single piece of customer data.
12 Locations 0 Customer Data Collected
Slip Risk Detection Loitering Detection Unauthorized Access
Property Management Firm Secures Multi-Building Portfolio with AI
A Midwest property management company replaced fragmented security contracts across a 14-building commercial portfolio with a single AI platform — connecting 200+ existing cameras into one unified detection network.
14 Buildings 200+ Cameras — One Platform
Unauthorized Access Vehicle Detection Perimeter Control
Memory Care Community Eliminates Elopement Incidents with AI Fall and Wandering Detection
A 120-bed memory care facility deployed IntelliSee across existing corridor cameras to detect falls and after-hours wandering — delivering real-time nursing alerts without wearable devices on any resident.
0 Wearables Resident Dignity Preserved
Fall Detection Unauthorized Access Loitering
Multi-Campus Church Consortium Deploys AI Weapon Detection Across 8 Locations
An 8-campus congregation deployed IntelliSee weapon detection on existing sanctuary and entry cameras — protecting services without access restrictions, facial recognition, or any surveillance of congregants.
8 Campuses 0 Congregants Tracked
Weapon Detection Crowd Detection Unauthorized Access
Tier III Colocation Facility Closes Physical Security Blind Spots with AI Rooftop and Perimeter Detection
A Southeast colocation data center addressed the access vectors a physical penetration test had identified — adding rooftop intrusion detection to 34 existing exterior cameras with zero new hardware.
First Ever Rooftop Detection Capability
Rooftop Intrusion Perimeter Control Vehicle Detection
Regional Hotel Group Reduces Emergency Response Time with AI Smoke and Fire Detection
A 6-property hotel group deployed IntelliSee smoke detection on existing corridor cameras — identifying smoke in camera frames before point sensors triggered and generating the insurer-required proactive monitoring record.
Pre-Alarm Detection Window Established
Smoke & Fire Detection Unauthorized Access Loitering
Distribution Center Reduces Near-Miss Incidents with AI Cell Phone Compliance Detection
A 340,000 sq ft distribution center enforced a hands-free policy across active operations zones using IntelliSee AI cell phone detection — generating real-time supervisor alerts and the continuous OSHA compliance record their safety program required.
OSHA Documented Near-Miss Incidents Reduced
Cell Phone Detection Unauthorized Access Loitering
Strategic Analysis
The ROI of Safety: How IntelliSee Turns Risk Prevention Into Financial Performance
A quantitative breakdown of how proactive AI detection converts avoided incidents into measurable financial returns — lower premiums, reduced liability exposure, and operational cost reduction. Required reading for risk managers, CFOs, and security directors making the case for investment.
Risk Management Finance Leadership All Detection Types
Across All Documented Deployments
The Numbers Speak for the Platform
Intelligence Brief
Why Every Deployment Above Uses Existing Cameras — and Why That Matters
IntelliSee is not a camera replacement program. It is an intelligence layer. The platform connects to your existing IP cameras and video management system, processes each frame in real time, and returns detections within seconds — without requiring new hardware procurement, installation downtime, or network redesign.
This architectural decision has a compounding financial effect. Eliminating hardware costs eliminates the largest barrier to deployment, the longest component of procurement timelines, and the primary source of ongoing maintenance overhead. Every case study above reflects that reality: the same cameras that were recording incidents are now preventing them.
IntelliSee holds DHS SAFETY Act QATT designation — the Department of Homeland Security’s designation as a qualified anti-terrorism technology. No case study above required facial recognition, biometric data collection, or customer tracking of any kind.
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Your Facility Could Be the Next Case Study.
Schedule a 15-minute walkthrough. We map your facility’s specific risks, show you which detection types apply, and demonstrate results on cameras like yours.
