Summary
This case study covers a chapel video workflow built around NDI. The goal is to make cameras and computer sources available where they are needed while keeping the system understandable for technical staff and volunteer operators.
Problem
The chapel needed flexible video routing without turning every change into a cabling project. Camera feeds, presentation sources, confidence monitoring, livestream needs, and recording workflows all had to work together in a room that still needed to be simple to operate.
Constraints
- Existing network paths and physical room limitations
- Need for low-friction operation during services and events
- Mixed source types from cameras and computers
- Limited time for operator training
- Need to avoid overbuilding a system that would be difficult to support
Approach
The workflow uses NDI as a flexible transport layer while keeping the operator experience focused on named sources and clear destinations. Source names, routing expectations, and monitoring points are treated as part of the system design. That makes troubleshooting much faster when a feed is missing or delayed.
Rather than assuming every source should be everywhere, the system identifies which feeds are service-critical and makes those paths easier to verify. The design also accounts for when a problem is likely network-related versus application-related.
Tools & Technologies
- NDI video transport
- PTZ camera sources
- Presentation and livestream workstations
- Network switching and bandwidth planning
- Operator documentation and source naming conventions
Outcome
The result is a more flexible chapel production environment with fewer physical patch changes and clearer troubleshooting paths. Operators can focus on the event while technical staff have a better map of where signals should be.
Lessons Learned
NDI is powerful, but it rewards disciplined naming, predictable network design, and clear monitoring. Future improvements would include more visible health indicators for critical sources and a simplified fallback path for high-pressure events.