White Paper :
90 days to automate the quality control of your field operations with Computer Vision

This guide outlines a strategic plan for automating quality control in field operations within 90 days, focusing on the integration of computer vision technology. It addresses common challenges in quality control processes and offers solutions for effective implementation. Key areas discussed include:

• Establishing clear quality control objectives and scope.
• Building and utilizing a robust photo dataset for AI training.
• Designing a user-friendly data collection interface for field operations.
• Iterative development and training of AI models for optimal performance.

The guide emphasizes the importance of a step-by-step approach, ensuring a seamless transition to automated quality control systems. It highlights the potential for improved accuracy and efficiency in field operations through the use of advanced computer vision and AI technologies.