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Multi-modal PCF Components

⚙️ Advanced PCF & Full-Stack20 min500 BASE XP⌨ HANDS-ON LAB

Visual Extensibility

The Power Apps Component Framework (PCF) has evolved to support Native Vision Pipelines. Developers can now build React-based controls that hook into the device's camera stream and perform real-time tensor analysis locally before passing structured metadata back to the Power App. This eliminates the latency of traditional 'send-to-cloud' vision loops for high-speed manufacturing or security scenarios.

Hardware Abstraction

By declaring capabilities in the ControlManifest.Input.xml, a PCF control can request secure, sandboxed access to local hardware resources (GPU, NPU) to accelerate neural reasoning within the host container.

⌨ HANDS-ON LABScaffold a PCF Component
⭐ +200 XP

Build the shell of a custom PCF control from the terminal: scaffold with the Power Platform CLI, then compile it with npm.

1Initialize a new PCF project with the pac CLI (needs --namespace, --name and --template).
2Install dependencies and build the control with npm.
lab-sandbox — simulated environment
INFINITY LAB SANDBOX v2.6 — simulated shell
Type the command for the current objective. Helpers: "hint", "solution", "clear".
$
OBJECTIVE 1 / 2 — type "hint" if stuck
SYNAPSE VERIFICATION
QUERY 1 // 2
What is the primary role of the 'pac pcf push' command?
Deletion
Initialize a secure, high-speed upload of the component directly into the target environment for immediate testing
Inviting dev
App store
Multi-modal PCF Components Tutorial | Advanced PCF & Full-Stack — Power Platform Academy