Edge AI Moved Further Into Deployment Engineering

Relationship to Annual Outlook: Strengthens the Outlook

4/5/2022

Summary

Recent evidence suggests edge AI is becoming more operational. The discussion is no longer only about AI-capable hardware; it now includes DeepStream runtime management, Jetson Orin benchmarking, AI-on-module products, GPU edge computers and embedded vision computing platforms. This strengthens the view that industrial vision is becoming a local decision-making architecture.

Supporting Evidence

Evidence Base

24 Jan 2022 — SMARC AI-on-Module
https://www.vision-systems.com/boards-software/article/14224092/smarc-ai-on-module
1 Feb 2022 — GPU Edge Computer
https://www.vision-systems.com/factory/article/14232971/gpu-edge-computer
1 Feb 2022 — Managing Video Streams in Runtime with the NVIDIA DeepStream SDK
https://www.edge-ai-vision.com/2022/02/managing-video-streams-in-runtime-with-the-nvidia-deepstream-sdk
5 Apr 2022 — Is the New NVIDIA Jetson AGX Orin Really a Game Changer? We Benchmarked It
https://www.edge-ai-vision.com/2022/04/is-the-new-nvidia-jetson-agx-orin-really-a-game-changer-we-benchmarked-it

Why It Matters

This confirms the Outlook’s view that edge AI was becoming an engineering discipline rather than a component trend. The key shift is toward deployable edge systems.

Technology Themes

Edge AI, Embedded Vision, Smart Cameras, Industrial AI Platforms

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