Build Superior Products and Services
Identify anomalies in products to accelerate the manual fault identification, reduce operational costs and maintain the highest quality standards. Leverage computer vision and deep learning to optimize visual quality control and boost overall process efficiency.
Visual Quality Assurance systems are built by combining computer vision with deep learning algorithms to imitate human eyesight. These systems have the capability to identify faults and defects faster and with higher accuracy. Visual Quality Assurance systems provide consistent, reliable quality control while minimizing production costs and assuring highest quality.
Explore how Quantiphi helped a global manufacturer save 2 million USD annually by leveraging AI-powered virtual testing of its brake pad friction material and design.Learn More