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IndoAI vs Traditional CCTV

IndoAI vs Traditional CCTV: The Future of Intelligent Surveillance

Want to know about IndoAI vs Traditional CCTV? In today’s security-conscious environment, surveillance systems are now an integral part of various industries, from manufacturing facilities to retail locations, as well as schools and residential buildings. Traditional closed-circuit television (CCTV) networks have relied on cameras that would record video footage for review either manually or for […]

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How IndoAI Detects Fire on the Edge

How IndoAI Detects Fire on the Edge

Introduction In any industrial, commercial, or residential setting, the ability to detect fire—and trigger an alert—within moments can be the difference between the ability to control or mitigate, and total loss. Traditional fire-detection systems often depend on centralized cloud processing or sensor data that robotically compares readings to a threshold value, which can increase latency,

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AI Customer Behavior Analysis

AI Customer Behavior Analysis: How Smart Brands Read Minds and Close More Sales

Understanding why shoppers click, add to cart, or walk away can feel like mind-reading. AI customer behavior analysis makes that superpower real. By turning raw data into clear insights, brands predict what each customer wants—often before the shopper knows it. This guide explains how AI customer behavior analysis works, why it matters, and how you

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Smarter at the Edge Evaluating Decentralized AI Deployment Models in Federated

Smarter at the Edge: Evaluating Decentralized AI Deployment Models in Federated,Hierarchical, Microservices and Serverless edge AI Architectures

Abstract: The advent of edge computing and artificial intelligence (AI) has spurred the development of decentralized architectures to address privacy, latency, scalability, and cost challenges in AI deployment. This paper provides an in-depth examination of four architectures—Federated Learning (FL), Edge-Cloud Hierarchical, Microservices-Based Edge AI, and Serverless Edge AI—focusing on their components, workflows, advantages, challenges, and

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Understanding Appization

Understanding Appization: The Future of Modular AI Solutions – TRIZ way

Everything is faster, smarter and more flexible in today’s fast-moving world of technology. At IndoAI, we believe that the future of Artificial Intelligence (AI) lies in a new concept we call “Appization“—the process of turning powerful AI models into plug-and-play apps that anyone can use, just like downloading an app on your phone. This makes

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AI in Agriculture

AI in Agriculture: Farming version 2.0

Farming’s transformation is taking place quickly. Technology is growing into every area of our lives including agriculture. AI in agriculture is leading this change in farming, helping farmers produce more food while using less or saving resources, and make better decisions. In this article we will analyze how AI in agriculture is changing farming. We

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AI in Retail Analytics

AI in Retail Analytics: Transforming the Shopping Experience

Technology influences every aspect of life in today’s fast-moving world. Favorable developments – like AI in retail analytics – help with solutions and provide the retail industry with incredible new opportunities. Not only does AI enable stores to better understand its customers. AI replaces part of a store’s inventory management and better business operations. Ultimately

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Healthcare_ Revolutionizing Patient Care

AI Cameras in Healthcare: Revolutionizing Patient Care

In today’s rapidly-growing world, healthcare systems constantly seek ways to improve patient care and safety. One innovative tool is AI cameras in healthcare. These intelligent systems are expected to make hospitals and clinics safer, quicker, and more efficient. AI online cameras assist doctors, nurses, and healthcare support professionals monitor patient’s health seamlessly. State of the

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