Overview

Your site has 400 workers. You have two eyes. Something has to change.Every construction superintendent knows the feeling. It is 2:00 PM. A pump truck is failing, a steel delivery is backing up at the gate, a change order needs a signature, and somewhere on the site, in a zone you haven't walked in three hours, something is about to go wrong. You cannot be everywhere. You never could be. The AI Site Superintendent gives you the instrument panel you have always needed: a system that watches every high-risk zone on your site continuously, detects hazardous conditions before they become incidents, and hands you a specific, data-driven risk picture every morning before a single worker picks up a tool. This is not a book for software engineers. It is a practical field guide for Project Superintendents, Safety Directors, Project Managers, and Owner Representatives who want to deploy AI-assisted safety monitoring on real construction sites, and bring their entire crew along with them. What You Will Learn How computer vision works in plain English; no prior tech knowledge required How to design IF-THEN detection rules for your five highest-risk zones How to match cameras, drones, and wearables to the right hazard type How to detect PPE compliance, heat stress, ergonomic risk, and gas hazards using AI and IoT sensors together How to integrate AI alerts with BIM to create a living digital twin that contextualizes every safety event spatially and on the programme How predictive risk modeling replaces the ""Days Since Last Incident"" counter with a forward-looking risk forecast How to build worker trust, handle union concerns, and roll out the program without a single worker feeling surveilled How to structure your AI safety data as legally defensible evidence - and why doing nothing is now the greater liability How to run a full 90-day deployment from Day 1 setup to live operation Real Sites. Real Workflows. Real Templates.Every chapter includes real-world project examples drawn from high-rise residential towers, metro rail viaducts, data center campuses, hospital refurbishments, and pan-India contractor portfolios. Five detailed case studies show the framework in motion, including what went wrong, how it was corrected, and what the outcome data showed. The complete toolkit chapter provides 16 production-ready templates, Camera Placement Matrices, IF-THEN Rule Libraries, Alert Resolution Logs, Safety Forecast Morning Cards, Worker Consent Forms, and a full Union MOU; that you can adapt and deploy on your next project immediately. For Construction Professionals at Every LevelWhether you are deploying AI safety monitoring for the first time on a single project or scaling it across a portfolio of 12 concurrent sites, this book gives you the conceptual foundation, the operational workflows, the legal framework, and every document you need, in the sequence you need it. The AI finds it. You fix it. The log proves it. The standard of care in construction safety is shifting. The practitioners who build this capability now, before it becomes a regulatory requirement, will be the ones who define what the next generation of safe sites looks like.

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