I'm currently designing an AI-assisted guest-flow intelligence system for a confidential large-scale immersive entertainment venue.
The venue already has an extensive hardwired camera network. The goal is not to replace it. It's to turn selected camera feeds into a new operational intelligence layer.
System Architecture
The proposed system uses a dedicated onsite NVIDIA-powered AI server to:
Detect guests anonymously without facial recognition
Associate guests into temporary operational groups
Display numbered group markers on a live floor map
Measure dwell time, occupancy, pacing, and group gaps
Identify developing slowdowns, compression, and bottlenecks
Monitor participating camera feeds
Generate end-of-shift operational reports
Two Complementary Interfaces
Live Map Overview
A command-center display showing where anonymous guest groups are located, how many people each marker represents, and where congestion is developing.
Route Operations Dashboard
A simplified dashboard built for fast decisions, tablets, and mobile viewing. It shows the active problem, its severity, and the recommended response.
The Hard Engineering Problem
The system is designed around the venue's existing cameras and DVRs, using controlled read-only video streams and local processing. All operational video analysis and event data remain onsite.
The hardest part is not creating a beautiful dashboard. It is engineering reliable tracking through darkness, fog, strobes, costumes, occlusion, and non-overlapping camera views while honestly displaying uncertainty when a handoff cannot be confirmed.
Current Work
Technical architecture
Computer-vision validation planning
Onsite server design (custom NVIDIA build)
Camera and zone mapping
Route-aware group handoff logic
Event database design
Live dashboard prototyping
Acceptance testing and deployment planning
The Approach
This is the kind of project I enjoy most: taking infrastructure a business already owns and transforming it into a system that helps the operation see more, respond faster, and make better decisions.
I'm currently designing an AI-assisted guest-flow intelligence system for a confidential large-scale immersive entertainment venue.
The venue already has an ...