Amazon's smart glasses for delivery drivers, branded Amelia, will reportedly take photos "almost constantly" during use — including of people and private property — capturing "several thousand captures in a single driver's typical shift," according to Bloomberg.

The company plans to upload those images to its AI Wellspring platform, an internal AI system that processes the visual data harvested from the field. The figure of several thousand captures per shift comes from Bloomberg's reporting, not from Amazon's own published specifications, and Amazon has not disclosed the exact capture rate, resolution, or storage terms for the imagery.

The privacy implications are already drawing scrutiny. When Bloomberg asked whether customers will be able to opt out of having their property and persons photographed by drivers wearing the device, Amazon's Viraj Chatterjee responded: "We haven't thought about that."

Chatterjee claimed Amazon is using the data from the glasses only to "enhance the delivery process," adding: "The intent has never been stuff like surve…" — the remark was cut short in the published excerpt, but Amazon's stated position is that the eyewear exists to improve logistics, not to monitor the public.

Amelia itself is not a new product. Amazon officially revealed the smart delivery glasses earlier, positioning them as a tool that guides drivers along routes and scans packages hands-free. The hardware features tinted lenses and integrated cameras. The new reporting from Bloomberg, dated September 30, concerns what happens to the imagery the cameras generate — and the scale at which it will be generated.

The arithmetic is stark. If a single driver's typical shift produces several thousand captures, and Amazon's delivery network spans hundreds of thousands of drivers, the aggregate volume of imagery flowing into AI Wellspring could reach into the billions of images per day at full deployment. Amazon has not confirmed any deployment numbers, rollout timeline, or the total size of its driver fleet equipped with the glasses, so any fleet-wide capture estimate remains an extrapolation from Bloomberg's per-shift figure.

The commercial logic is straightforward. Real-world street-level imagery is training data of a kind that is difficult to obtain at scale through other means. Route guidance and package scanning give the glasses a clear operational justification inside Amazon's logistics network; the continuous capture capability turns every delivery route into a data-collection pass. Whether that dual use constitutes surveillance is precisely the question Chatterjee declined to engage when pressed on opt-outs.

For Amazon's customers and neighbors of its delivery routes, there is currently no stated mechanism to decline being photographed. The company's response — that it "hasn't thought about" an opt-out — leaves the policy question unresolved as the hardware moves toward wider use. Amazon has not published a privacy policy specific to Amelia's capture behavior, nor has it detailed how long images are retained, who within the company can access them, or whether they are shared with third parties.

The glasses join a growing category of camera-equipped wearables deployed in commercial fleets, where the boundary between workplace tool and ambient data collection remains largely unregulated. Amazon's scale — and its pairing of the hardware with a dedicated AI ingestion platform — puts the company at the front of that category, and makes the absence of an opt-out framework the detail most likely to attract regulatory attention as deployment expands.

Amazon has not said when Amelia will reach its full driver fleet; the capture figures and platform plans reported here rest on Bloomberg's reporting and Chatterjee's on-record comments.