Now available—the Embedded Vision Summit On-Demand Edition! Gain valuable computer vision and edge AI insights and know-how from the experts at the 2021 Summit.

Ilya Brailovskiy, Principal Engineer, and Changsoo Jeong, Head of Algorithm, both of Ring, present the "Optimizing SSD Object Detection for Low-power Devices" tutorial at the May 2019 Embedded Vision Summit.

In this talk, Brailovskiy and Jeong discuss how Ring designs smart home video cameras to make neighborhoods safer. In particular, they focus on three key elements of the system that are critical to the overall quality of the product. First, they discuss creating a reliable and robust motion detection algorithm, which is used to detect security events and provide alerts to users. A central challenge here is creating a motion detection algorithm that’s reliable and robust under all environmental conditions: indoor or outdoor, day or night, sun or rain, etc.

Next, they examine another challenge related to environmental conditions: rendering video content that people can usefully view across this wide range of imaging conditions. Finally, they explore the challenge of making video streaming work reliably under different network conditions. For each of these challenges, they present techniques that are scalable for mass-production devices.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.



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