Tagged articles

RFID

7 articles · Page 1 of 1
IT Architects Alliance
IT Architects Alliance
Jan 6, 2022 · Fundamentals

Comprehensive Overview of Indoor Positioning Technologies and Their Challenges

This article provides a detailed overview of indoor positioning technologies—including GPS, cellular base‑station, Wi‑Fi, RFID, Bluetooth, UWB, infrared, visible light, geomagnetic, and visual methods—explaining their principles, advantages, limitations, and the specific challenges of achieving accurate, reliable, and cost‑effective indoor location services.

GPSIndoor positioningLBS
0 likes · 25 min read
Comprehensive Overview of Indoor Positioning Technologies and Their Challenges
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 12, 2019 · Artificial Intelligence

How AI and RFID Combine to Track Customer‑Product Interactions in Retail

This article presents a comprehensive AI‑driven framework that fuses video‑based customer action detection, RFID‑based product flip detection, and bipartite graph matching to accurately determine when, where, and which customer interacts with which SKU in a retail environment, discussing algorithms, optimizations, and experimental results.

AICustomer BehaviorRFID
0 likes · 22 min read
How AI and RFID Combine to Track Customer‑Product Interactions in Retail
Alibaba Cloud Developer
Alibaba Cloud Developer
Jan 29, 2019 · Artificial Intelligence

Alibaba's AI-Driven In-Store Foot Traffic Digitization

Alibaba’s search division showcases how AI transforms traditional retail by digitizing in‑store foot traffic, employing camera‑based person detection, re‑identification, RFID‑enhanced product interaction, and edge‑optimized models to generate real‑time customer insights, heatmaps, and personalized recommendations that bridge offline and online shopping experiences.

AIRFIDcomputer vision
0 likes · 25 min read
Alibaba's AI-Driven In-Store Foot Traffic Digitization
Alibaba Cloud Developer
Alibaba Cloud Developer
Jan 8, 2019 · Artificial Intelligence

How Alibaba Digitizes In‑Store Foot Traffic with AI and RFID Fusion

This article details Alibaba's end‑to‑end solution for digitizing offline retail foot traffic, combining existing surveillance cameras, RFID tags, and advanced AI techniques such as lightweight YOLO detection, knowledge distillation, and multi‑level pedestrian re‑identification to capture, analyze, and act on shopper behavior for both business operations and personalized in‑store experiences.

AIEdge computingPedestrian Re-identification
0 likes · 27 min read
How Alibaba Digitizes In‑Store Foot Traffic with AI and RFID Fusion