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Improving Construction Safety with AI Dmitry Grenader dgrenader@smartvid.io C ONSTRUCTION : H IGH - HAZARD I NDUSTRY D RIVERS OF R ISK IN C ONSTRUCTION Cost Schedule Quality Safety F ATALITIES HAVEN T CHANGED IN 10+ YEARS Rate per


  1. Improving Construction Safety with AI Dmitry Grenader dgrenader@smartvid.io

  2. C ONSTRUCTION : H IGH - HAZARD I NDUSTRY

  3. D RIVERS OF R ISK IN C ONSTRUCTION Cost Schedule Quality Safety

  4. F ATALITIES HAVEN ’ T CHANGED IN 10+ YEARS Rate per 100,000 FTEs unchanged since 2006 Source: CPWR Chart book, 6th Edition

  5. Shawmut’s Safety Culture: Core Value I am committed to providing my co-workers, subcontractors, clients and the general public with a workplace and environment which is free from hazard and risk. My number one priority each day is to make sure each person working with or for Shawmut goes home safely without accident or incident.

  6. O UR M ISSION To reduce risk in the AEC industry by using AI to improve safety, quality and productivity.

  7. W ORKSITES G ENERATE M ORE D ATA THAN E VER B EFORE

  8. W E ’ VE GOT VINNIE Meet “Vinnie” the AI engine. He’s been trained on construction data and is here to help find risk.

  9. V INNIE D ETECTS S AFETY R ISKS ...even on “visually noisy” job sites VINNIE “SEES” EVERY WORKER AND SITE CONDITIONS LIKE HERE, VINNIE OBSERVES ONE WORKER MISSING A HOUSEKEEPING AND STANDING WATER. REFLECTIVE VEST. ANOTHER IS MISSING GLOVES.

  10. W ORK AT H EIGHT : L ADDER

  11. W ORKING AT H EIGHT : L IFT

  12. H OUSEKEEPING

  13. S TANDING W ATER

  14. S EARCH FOR R ISK

  15. M EASURE R ISK

  16. M ANAGE R ISK

  17. S MARTVID . IO S AFETY S UITE SAFETY SAFETY PREDICTIVE MONITORING OBSERVATIONS ANALYTICS MODULES ENTERPRISE PHOTO & VIDEO MANAGEMENT VINNIE THE AI ENGINE REPORTING & DATA ANALYSIS FOUNDATION PREBUILT INTEGRATIONS & APIs

  18. C OMBINING H UMAN AND AI O BSERVATIONS ”SKILL”: Safety Observations “SCALE”: Safety Monitoring SKILL SCALE Humans capture and record AI is “always on” detecting potential complex observations and behaviors safety risks using visual jobsite data

  19. A NALYZE ALL IMAGERY We have done data integrations with major industry players.

  20. M OVING FROM O BSERVING TO P REDICTING • Launched as a joint effort with Suffolk Construction • Analyzed 10 years of data to build predictive AI models Observing Predicting From observing to predicting “This worker is “This project is going to missing gloves” have an incident”

  21. W HY THIS WORKS Process Data Culture Explainability

  22. T HANK YOU ! More questions? email me dgrenader@smartvid.io Smartvid.io Focused on reducing project risk using AI ● 100% focused on the Construction Industry ● HQ in Cambridge, offices around the world ●

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