Visual AI at the Edge: From Surveillance Cameras to People Counters

May 10, 2022
New AI-at-the-edge processors with improved efficiencies and flexibility are unleashing a huge opportunity to democratize computer vision broadly across all markets, enabling edge AI devices with small, low-cost, low-power cameras.

Patrick Worfolk, Senior Vice President and CTO of Synaptics, presents the “Enabling Visual AI at the Edge: From Surveillance Cameras to People Counters” tutorial at the  May 2021 Embedded Vision Summit.

New AI-at-the-edge processors with improved efficiencies and flexibility are unleashing a huge opportunity to democratize computer vision broadly across all markets, enabling edge AI devices with small, low-cost, low-power cameras. Synaptics has embarked on a roadmap of edge-AI DNN processors targeted at a range of real-time computer vision and multimedia applications. These span from enhancing the image quality of a high-resolution camera’s output using Synaptics’ VS680 multi-TOPS processor to performing computer vision in battery-powered devices at lower resolution using the company’s Katana Edge-AI SoC.

Click here for information on the 2022 Embedded Vision Summit.

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