  Traditional vision based Automated Optical Inspection (referred to as AOI in
paper) systems present multiple challenges in factory settings including
inability to scale across multiple product lines, requirement of vendor
programming expertise, little tolerance to variations and lack of cloud
connectivity for aggregated insights. The lack of flexibility in these systems
presents a unique opportunity for a deep learning based AOI system specifically
for factory automation. The proposed solution, VizInspect pro is a generic
computer vision based AOI solution built on top of Leo - An edge AI platform.
Innovative features that overcome challenges of traditional vision systems
include deep learning based image analysis which combines the power of
self-learning with high speed and accuracy, an intuitive user interface to
configure inspection profiles in minutes without ML or vision expertise and the
ability to solve complex inspection challenges while being tolerant to
deviations and unpredictable defects. This solution has been validated by
multiple external enterprise customers with confirmed value propositions. In
this paper we show you how this solution and platform solved problems around
model development, deployment, scaling multiple inferences and visualizations.
