Sep 2026· International Journal of Innovative Research in Technology
IoT and GPS-based Vehicle Safety Systems
Abstract
The Smart Cart is an AI-and IoT-based intelligent shopping system designed to transform the conventional retail shopping experience by enabling automated billing, real-time inventory monitoring, and personalized customer assistance.Traditional shopping carts and manual checkout processes often result in long queues, increased billing time, and inefficient inventory management.The proposed system integrates IoT sensors/RFID technology, AI-based product identification, edge computing, and cloud connectivity to detect products, calculate bills, and update inventory in real time.An interactive display provides product information, cart status, recommendations, and navigation assistance to customers.The system also supports low-stock alerts, intelligent inventory tracking, and data-driven demand analysis, improving store management and operational efficiency.By reducing checkout time, minimizing manual errors, and enhancing customer interaction, the proposed AIoTenabled Smart Cart provides a scalable and costeffective solution for next-generation smart retail and autonomous checkout environments.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The perception of the impact of agile methods is predominantly positive, and several challenge areas were discovered, but based on this study, agile methods are here to stay.
M. Laanti, O. Salo, P. Abrahamsson· Information and Software Tec...· 260 citations· ⚡20
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MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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