[AI FR] How to Set Up Master–Slave Mode in GV-AI FR
Posted: July 1st, 2026, 8:13 am
In this video, we will guide you step-by-step on how to set up and verify the master-slave function on GV-AI FR.
The master-slave architecture allows you to centrally manage face profiles across multiple GV-AI FR systems. Instead of manually enrolling faces on every device, you can maintain a single database on the master unit and automatically synchronize it with slave units.
This setup is ideal for organizations with multiple entry points, enabling scalable and efficient face recognition management across large facilities.
📌 What You’ll Learn:
✅ Configure a Master GV-AI FR system
✅ Configure a Slave GV-AI FR system
✅ Set up Master-Slave synchronization
✅ Enroll face profiles on the Master unit
✅ Automatically synchronize face data to Slave units
✅ Verify face recognition on both Master and Slave systems
With the Master-Slave feature, you can connect up to 11 GV-AI FR systems (1 Master + 10 Slaves) and scale your deployment to 88 face recognition cameras while maintaining a centralized face database.
https://youtu.be/mc2Uue4c2e4
The master-slave architecture allows you to centrally manage face profiles across multiple GV-AI FR systems. Instead of manually enrolling faces on every device, you can maintain a single database on the master unit and automatically synchronize it with slave units.
This setup is ideal for organizations with multiple entry points, enabling scalable and efficient face recognition management across large facilities.
📌 What You’ll Learn:
✅ Configure a Master GV-AI FR system
✅ Configure a Slave GV-AI FR system
✅ Set up Master-Slave synchronization
✅ Enroll face profiles on the Master unit
✅ Automatically synchronize face data to Slave units
✅ Verify face recognition on both Master and Slave systems
With the Master-Slave feature, you can connect up to 11 GV-AI FR systems (1 Master + 10 Slaves) and scale your deployment to 88 face recognition cameras while maintaining a centralized face database.
https://youtu.be/mc2Uue4c2e4