Cloud-based AI is powerful, but for enterprise Android developers building solutions to find a specific package in the back of a dark delivery truck, inventory retail store shelves, or digitize complex delivery documents, the cloud is often too slow, too expensive, does not ensure privacy, and completely dependent on perfect Wi-Fi. The solution is moving vision AI directly to the edge—utilizing tailored, frontline-specific models designed to process and digitize environments in real-time. In this session, we will dive deep into the architecture of building real-time, on-device computer vision workflows using the Zebra AI Data Capture SDK. We will bypass high-level AI hype and focus strictly on the developer journey—showing you how to combine modular Zebra Frontline AI Enablers (the building blocks) with adaptable Zebra Frontline AI Blueprints (the workflow orchestrators) to build robust, offline-first Android solutions.