There are infinitely more ways things can go wrong than there are ways they can go right. Anyone who has spent any time working in manufacturing, cybersecurity, or fraud detection knows this all too well. While success requires every gear to mesh and every line of code to perform exactly as expected, failure can result from a single, infinitesimal deviation. It is the one unpatched vulnerability in otherwise secure code, the microscopic fracture in a turbine blade, or the slight anomaly in a transaction pattern that goes unnoticed that makes all the difference.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/how-to-build-cost-effective-edge-ai-for-quality-failure-detection