What exactly prevents companies from scaling their computer vision models from successful laboratory prototypes to reliable factory floor automation? Furthermore, these platforms allow systems to analyze visual data for quality control, object tracking, and automated sorting processes. How do you balance the need for high-speed edge processing with deep cloud analytics?