Artemis: Visual Quality Control System

Creating a bespoke AI system from the ground up to replace manual quality control on a high-speed production line. The custom convolutional neural network is trained to identify microscopic defects and subtle anomalies in real-time, far beyond human visual capability.

The model is tailored to the client’s specific products and lighting conditions, learning what constitutes an acceptable variance versus a critical flaw. It integrates directly with the production line’s control systems to automatically reject faulty items without slowing down operations.

• High-speed image processing at 120 frames per second

• Adaptive learning from quality control feedback

• Real-time production line integration and control

• Detailed analytics on defect patterns and root causes