https://xitter.cf/t.co/6UxLmyH91a - A visual data mining system powered by Topological Data Analysis https://xitter.cf/t.co/9hakK6VSYs - Cutting-edge industrial visual anomaly detection
London, UK
Joined March 2012
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Our platform makes unsupervised visual anomaly detection fast and easy, but it doesn’t stop there. AnomalyTDA also supports fully supervised tasks like object detection and multi-label classification with annotated datasets.
✅ 3 hours of free training on A100 GPUs
✅ Full access to all features
Sign up for free: app.anomalytda.com/login#sig…
Learn more: anomalytda.com/
The semiconductor industry is one of the miracles of our age - and here, for instance, is a wire bonding machine, one of the true workhorses of semiconductor packaging [1/8]
• NASA still uses gold wire bonds in space electronics — they survive radiation, vibration, and vacuum better than most solder joints. [7/8]
They produce 1,000 products a day. The problem? About 1% of them (10 units) have defects.
But here’s the real challenge I see all the time: the defects are never the same. One day it’s a microscopic scratch, the next a slight misalignment, the day after a material texture flaw.
This video is from a line where our unsupervised model is spotting these varied, unpredictable manufacturing defects in real-time.
The system spots all these unique issues and, crucially, alerts the engineers instantly. This is how you move from just finding defects to preventing them.
We're moving past finding known issues. We're finding all anomalies: anomalytda.com
Packaging inspection is changing fast - and “good enough” vision systems aren’t cutting it anymore.
Traditional vision systems catch known defects, but miss the unexpected. In high-speed packaging, that blind spot costs real money - recalls, rework, downtime.
That’s where AnomalyTDA steps in:
Instead of training on thousands of labeled defect samples, it uses Topological Data Analysis (TDA) to detect any irregularity — even those the system hasn’t seen before.
Perfect for production lines already using standard image checks (labels, seals, fill levels) but wanting a second layer that actually adapts.
If your packaging inspection stops at classification, you’re missing half the picture: anomalyTDA.com
A national food supplier required an automated system for packaging defect detection to minimize waste and elevate quality control. For anomalyTDA.com the technical requirements were stringent: a low-latency solution was mandatory for high-speed production.
This edge-based architecture ensures that critical defect detection logic is executed locally, guaranteeing prompt intervention and maintaining production integrity without cloud dependency.
To see how we implement robust, industrial-grade AI on the production floor, visit us at: anomalyTDA.com