This app is visual inspection AI by " light-weight unsupervised anomaly detection algorithm".The features and advantages of this app are as follows.

- You need not to collect anomaly data that is difficult to collect.
- You do not define the "anomaly", but let this AI understand the "normality", this means to understand the "anomalous", by feed it only normal data.
- Thanks to lowness of computational cost, it can process real-time on a smartphone.
- Similarly, it can execute learning on a smartphone, you can teach this AI interactively.
- And furthermore, it can run in a stand-alone device without connecting to the internet, so
you need not to pay attention to information security issues.

We think that this app is suitable for the situation that needs continuous observation such as production lines of a factory.

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This app based on our own algorithm, SCN ( Sparse Competitive Network).
This is a kind of Neural Network and it is online unsupervised learning algorithm. It originates from a fusion of the following 2 ideas, Sparse Coding and Competitive Learning.
If you need more information about SCN, please visit our web site or contact us.