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How Computer Vision AI Is Eliminating Safety Violations on Construction Sites

Industry Overview: The construction industry accounts for a disproportionate share of workplace fatalities globally, with falls, struck-by incidents, and PPE non-compliance among the leading causes. Traditional safety audits rely on periodic walkthroughs — meaning violations go undetected for hours or days. Lithuanian construction firms JSC Merko Statyba and JSC Mitnija were among the early adopters of AI-powered computer vision to address this gap at scale.

Challenge:
Safety managers on large sites cannot physically monitor every zone simultaneously. Workers frequently entered restricted areas without helmets, high-visibility vests, or safety harnesses — often without any immediate consequence. Manual spot-checks happened too infrequently to drive behavioral change, and incident reports were reactive rather than preventive. The companies needed a system that could observe the entire site continuously and flag violations the moment they occurred.

Solution:
The firms deployed an AI computer vision system connected to existing CCTV cameras across active construction zones. Trained on thousands of labeled images, the model recognized workers, detected the presence or absence of required PPE (helmets, vests, harnesses), and identified unauthorized zone access — all in real time. When a violation was detected, supervisors received an instant alert with a timestamped image, enabling them to address the issue within minutes rather than waiting for the next scheduled walkthrough. The system required no additional hardware beyond standard site cameras.

Results:

  • Non-compliance incidents declined significantly across the 3-month pilot, as workers adapted behavior knowing violations were captured automatically
  • Response time to violations dropped from hours to minutes, enabling corrective action before accidents could occur
  • 30%+ reduction in safety-related project delays, as fewer incidents meant fewer stop-work orders and investigations
  • High adoption among safety managers, who cited the system as a force multiplier — one person effectively monitoring every camera simultaneously

Computer vision does not replace human judgment — it amplifies it. By giving safety teams eyes across every corner of a site at once, AI is shifting construction safety from reactive enforcement to proactive prevention.