Amazon has recently showcased Amelia, a prototype of fully AI-powered smart glasses designed to assist its delivery drivers. The glasses feature a built-in camera and display, and are paired with a controller on a delivery vest that includes operational controls, a swappable battery, and an emergency button. The glasses allow drivers to scan packages, capture proof of delivery, and follow turn-by-turn directions without needing to use their phones, providing a hands-free and more efficient workflow.
Amelia’s AI capabilities include computer vision and sensing features that highlight hazards, locate packages in vehicles, and provide navigation within complex delivery locations, such as multi-unit buildings. The glasses automatically activate when a driver arrives at a delivery point and include safety measures, such as automatically shutting off when the vehicle is in motion. A hardware switch lets drivers disable all sensors, including the camera and microphone, and the glasses support prescription and transitional lenses that adjust to lighting conditions.
Amazon is currently testing their AI glasses with hundreds of drivers and multiple delivery partners across North America, with plans for a wider rollout globally. The goal is to improve efficiency in last-mile delivery, potentially saving up to 30 minutes per 8- to 10-hour shift by reducing repetitive tasks and helping drivers locate packages quickly. Future enhancements may include real-time defect detection, pet recognition, and automated hazard adjustments.
In addition to Amelia, Amazon introduced Blue Jay, a robotic arm designed to assist warehouse employees in sorting parcels more efficiently and safely, and Eluna, a new AI tool that provides operational insights to optimize warehouse processes.
While companies like Meta are focusing on consumer smart glasses, Amazon’s innovations target workplace productivity, safety, and efficiency. By integrating AI into delivery and warehouse operations, Amazon aims to streamline logistics, enhance driver performance, and reduce errors, signaling a significant step toward AI-driven operational excellence in e-commerce logistics.