Guides

Learn how to automate sensor calibration workflows, track calibration certificates, and manage multi-point calibration data with TofuPilot.

Learn how to package, distribute, and deploy OpenHTF test scripts to production stations using virtual environments, PyInstaller, and version tracking.

Adaptive testing uses real-time data to adjust test sequences, skip redundant checks, and reduce cycle time. Learn how it works and where it applies.

An EOL operator screen must be fast, clear, and error-proof. Learn how to design the interface for end-of-line test stations.

Set up hardware-in-the-loop testing for embedded systems using Python, GPIO control, and TofuPilot logging for automated regression analysis.

Learn how to share hardware test data across teams using TofuPilot's centralized platform for collaborative debugging and quality analysis.

Learn how to compile FDA-compliant Device History Records using TofuPilot's per-unit test data, traceability, and structured measurement storage.

Structure HIL test results with firmware versions and environmental data for regression tracking in TofuPilot.

Learn how to collect hardware test data in offline or air-gapped environments and sync it to TofuPilot when connectivity is restored.

Learn how to set up burn-in tests for electronic assemblies, log results to TofuPilot, and use burn-in data to catch infant mortality defects.

Hardware reliability testing predicts product lifespan under stress. Learn what it covers, common methods, and how to track results with TofuPilot.

Give subcontractors your test procedures, collect their results in your TofuPilot workspace, and maintain full visibility over outsourced production quality.