Visual quality control is a demanding task of increasing importance in
industrial manufacturing. Both speed and flexibility are of paramount
importance for viable and competitive inspection systems. We have dev
eloped a dedicated neural network architecture for anomaly detection t
hat can easily be trained by a single presentation of examples and is
amenable to massively parallel VISI implementation. We focus here on o
ur ASIC and prototype system design effort for this network.