DollazAndSense
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Elevate your retail experience with Just Walk Out technology | Amazon Web Services
What would shopping look like if you could walk into a store, grab what you want, and just go? Consumers want convenient experiences. According to the 2021 Shopper Vision Study from Zebra Technologies, 60 percent of respondents state that long wait times to check out are a major concern while...
Some key points that stand out to me. Apologies if you already posted this info @Bravo , I must have missed it!
"While the consumer experience driven by our technology is simple, there’s a great amount of complexity behind the scenes. The experience is facilitated by state-of-the-art computer vision (CV), sensor fusion, and deep learning algorithms made possible by several pieces of hardware and a system of in-store and cloud microservices that we’ve designed."
What hardware powers the Just Walk Out technology shopping experience?
"Once consumers enter the store, our technology relies on in-house-designed cameras to identify what products consumers take off or put back on the shelves. Each of our cameras has high resolution and a wide field of view, allowing us to install the fewest number of cameras possible. The reduced number of cameras makes the technology cost effective. We run CV algorithms directly on the camera to process data locally to reduce the bandwidth needed to send data to other devices or to the cloud. To provide security, our cameras also incorporate hardware-backed security capabilities and end-to-end encryption of data both locally and while being sent between our services."
Bringing the power of the cloud to the store
"While Amazon Web Services (AWS) helps us to elastically scale our resources to process data, stores can be a long distance from a data center, and there can often be a large amount of data to process. Our initial prototypes and installations in our own store formats started with all of our processing done in the cloud. As we scaled to different locations and larger store formats, we quickly needed to iterate on an architecture to allow us to run our algorithms where it makes the most sense—either in the cloud with elastic compute or in the store where the data is.To manage these bandwidth issues, we built an edge computing architecture to process sensor data and compute receipts locally without going back and forth to the cloud. Placing compute close to our data helps us to improve reliability by sending less data over the internet.
Ultimately, all our cameras, sensors, and scanners create a significant amount of data to process. To make the whole system more robust, the data streams are processed as independently as possible, resulting in a highly concurrent and asynchronous architecture."
