Francois Legare has dedicated over two decades to the tech industry, with a significant portion of that time at Bell, where he’s contributed to projects in AI, 5G, Android and some VR projects. He’s also known for his early involvement with Android Montreal, which laid some of the groundwork for what GDG Montreal has become today. Fluent in both French and English, Francois offers insights drawn from a rich tapestry of experiences.
Off to the Races with Android
With the advent of modern 5G, single digits millisecond network latency is no longer a pipe dream, and on public networks, you can typically get 40ms to 50ms latency. To create buzz around these performance numbers, Bell 5G/MEC Innovation Lab came to us with an exciting project proposition: Create a remote-presence, high-performance model car racing experience for the Montreal Formula One Grand Prix.
We will present our approach to building this unique experience using cutting-edge technologies such as computer vision, machine learning and real-time communication. We’ll discuss the technical challenges we faced and our solutions. Our core pillar is an Android phone controlling customized microcontrollers over USB integrating multiple sensors. Supervising the races, an overseeing machine-learning model. We’ll also have a rare look into the cell network hardware needed to keep everything responsive and exciting.
This talk should be of interest to Android developers, robotics and IoT enthusiasts, as well as ML specialists looking for novel ways to combine the use of these technologies.