WinMedia and EAMG Radio Demonstrate Fully Automated Visual Radio with WinCam and RØDECaster Pro II
La Ciotat, France – June 2026
WinMedia is pleased to announce the successful deployment of an innovative visual radio workflow at EAMG Radio in Kigali, Rwanda, powered by WinCam, WinMedia’s intelligent visual radio automation platform.
Designed and implemented by Broadcast Technology Consultant Fred Martin Kiwalabye, the project demonstrates how a standard radio studio equipped with a RØDECaster Pro II can be transformed into a fully automated visual radio production environment without the need for a traditional television control room or dedicated video operators.

Using WinCam’s intelligent audio-follow-video automation engine, the system automatically detects active speakers, controls PTZ cameras, selects camera angles, manages close-ups and wide shots, and streams professional-quality video content across digital platforms.
The project highlights WinCam’s unique flexibility, allowing broadcasters to integrate not only with major broadcast consoles through IP, Dante and AES67, but also with creator-focused platforms such as the RØDECaster Pro II through advanced audio detection workflows.
Reflecting on the project, Fred Martin Kiwalabye stated:
“Our goal was not to create another complex broadcast system. The objective was to demonstrate how broadcasters and content creators can use the tools they already have to achieve professional visual production standards.”


Commenting on the initiative, Eugene Anangwe, CEO of East African Media Group, added:
“At EAMG, we believe innovation is not measured by how much technology you buy, but by how effectively you use it. This project demonstrates how creativity, expertise and strategic thinking can help organizations achieve exceptional results without unnecessary expenditure.”
For WinMedia, the Kigali deployment serves as a compelling example of how broadcasters can embrace visual radio and video-first content strategies while maximizing existing investments and minimizing operational complexity.


