High benchmark performance does not guarantee a reliable inspection system. This article presents a production-oriented framework for evaluating visual anomaly detection across thresholds, distribution shift, error costs, latency, validation, and monitoring.

It was a Sunday morning in Munich. I had a cup of double espresso in hand, my laptop open, and a simple question in my head: how fast can I actually finish this? Six hours later, I had my answer — and a Udacity Nanodegree certificate to prove it. The Backstory I'll be honest. I didn't set out to break any records. I'm the CTO and Co-founder of 36ZERO Vision, a Munich-based company that builds AI-powered quality inspection systems for manufacturers like Siemens, Bosch, and Mag

You're scaling, enterprise clients are asking for security questionnaires, your team doubled, someone's laptop got stolen, and you realize your "security policy" is a Google Doc from 2022 nobody reads. Sound familiar? The Right Time to Do It Don't do it pre-PMF. Do it when: You have paying enterprise customers who actually ask for it Your team is 15-30+ people and processes are breaking You're handling sensitive data (manufacturing defects, customer IP, etc.) You want to forc

In the dynamic environment of an early-stage startup, the Chief Technology Officer (CTO) must make strategic decisions to ensure rapid development, scalability, and customer satisfaction. Python, renowned for its simplicity and extensive ecosystem, is an ideal programming language for startups aiming to deliver agile, customer-focused products. This article presents a curated selection of Python packages that facilitate professional project development, emphasizing speed, rel

In the world of image-based computer vision, labeled data is the gold standard. However, the reality is that most image datasets are vast and unlabeled. This is where the clever use of proxy tasks shines, providing a strategic method to train your AI models effectively before honing them on smaller, labeled sets. Let's delve into how proxy tasks operate and why they are a game-changer for tackling image understanding challenges. The Unsupervised Learning Puzzle Unsupervised l