Full metadata record
| DC Field | Value | Language | 
|---|---|---|
| dc.contributor.author | Lumen, Christine | - | 
| dc.date.accessioned | 2025-10-20T17:48:26Z | - | 
| dc.date.available | 2025-10-20T17:48:26Z | - | 
| dc.date.issued | 2025-10-20 | - | 
| dc.identifier.uri | http://hdl.handle.net/2451/75505 | - | 
| dc.description.abstract | This paper examines Amazon Go’s Just Walk Out (JWO) technology as a leading example of Internet of Things (IoT) integration in automated retail. The study explores how multiple sensing modalities—such as depth-sensing cameras, load cells, and RFID tags—operate through sensor fusion to enable seamless, real-time inventory tracking and automated checkout. Through an analysis of the system’s, the paper explains how structured light and Time-of-Flight (ToF) sensors capture three-dimensional spatial data, while edge computing nodes process information locally to minimize latency and enhance accuracy. The findings highlight how sensors in combination with cloud computing systems supports rapid decision-making. Moreover, the study discusses the possible challenges the system may encounter and proposes solutions to address them. While Amazon Go represents a significant milestone in smart retail, its success also highlights that much work remains to be done before such fully autonomous systems can be widely implemented. | en | 
| dc.language.iso | en_US | en | 
| dc.subject | Amazon Go; Just Walk Out (JWO) Technology; Internet of Things (IoT); Sensor Fusion; Edge Computing; Structured Light Systems; Time-of-Flight (ToF) Sensors; Load Cells; RFID Tags; Depth-Sensing Cameras; Data Processing; Real-Time Inventory Management; Computer Vision; Aggregators; Artificial Intelligence; Automated Retail Systems | en | 
| dc.title | Just Walk Out Technology (JWO)/ AmazonGo | en | 
| dc.type | Article | en | 
| Appears in Collections: | Division of Applied Undergraduate Studies | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Just Walk Out Technology (JWO)_ AmazonGo.docx | 363.47 kB | Microsoft Word XML | View/Open | 
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