World Congress 2026 Europe • Jul 9, 2026 • Session details

Edge Orchestration for the Physical World: Connecting Cameras, Sensors, and Devices with MQTT

Irina Terekhova

Stop relying on fragile custom scripts for edge deployments. Discover how a zero-cloud orchestration layer unifies disparate hardware via MQTT to build real-time AI pipelines in minutes.

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#1 about 2 min

Deploying algorithms and AI models to edge production

Overcoming infrastructure gaps to make deep tech modules observable for production pilots.

#2 about 2 min

Visual orchestration for industrial sensing and home automation

Managing device health and data flow across research labs and community automation projects.

#3 about 2 min

Expanding hardware compatibility for physical AI and sensor integration

Installing the edge orchestration platform on operating systems like Linux and Windows to unify sensor data.

#4 about 2 min

Optimizing research lab storage capacities through conditional recording

Reducing storage requirements by capturing specific conditional data instead of week-long bulk recording dumps.

#5 about 1 min

Automating edge use cases with custom messaging integrations

Utilizing platforms like Home Assistant to set up real-time tracking and route video footage.

Matching moments

1:50 min

Overview of the Edge AI ecosystem and tech stack

Maxim Salnikov

Maxim Salnikov · World Congress 2025

3:06 min

Exploring community projects for specialized hardware pipelines

Flo Pachinger · LIVE

37 sec

Deploying edge computing applications across target industries

Antonio Tavera

Antonio Tavera · World Congress 2025

3:17 min

Deploying parallel models on custom hardware with Edge Impulse

Moe Sani

Moe Sani · World Congress 2026 Europe

1:43 min

Creating unified modular ecosystems for better operational decisions

Freya Menzel

Freya Menzel +1 · Europe 2026 Virtual

3:21 min

Reducing cloud dependency with on-device edge AI models

Precious Osaro

Precious Osaro · World Congress 2026 Europe

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