Construction

Site-wide AI safety supervision for high-risk construction operations

This solution enables real-time detection, evidence capture, and closed-loop incident handling across dispersed construction sites. It addresses both daily compliance and high-risk work scenarios such as working at height, lifting zones, edge protection, and fire hazards.

Regulatory expectations vs on-site challenges

Safety teams need full-process visibility, while field operations face scale, latency, and manpower constraints.

Core needs of safety supervision

  • Zero tolerance for severe construction safety incidents.
  • Full-process oversight for high-risk tasks such as height work and suspended lifting.
  • Real-time detection and accountability for violations during construction.
  • Incident data must be recordable, auditable, and statistically analyzable.

Practical pain points

  • Large number of sites with broad geographic distribution and high supervision cost.
  • Manual patrol-based management often discovers issues after risk has materialized.
  • Traditional CCTV often "records but does not analyze" for proactive prevention.
  • Safety management outcomes are hard to quantify and track over time.

Construction safety video AI platform

Unified platform capabilities from access and user control to AI scenario execution and event response.

General platform functions

  • User access and role management
  • Large-screen visualization and map display
  • System logs, operation logs, and analytics reports

Application management

  • Project/site profile and user profile management
  • Event push, event lifecycle handling, and information retrieval
  • Camera management and statistics dashboarding

Video AI scenario library

  • PPE detection: helmet and reflective vest
  • Hazard detection: smoke/fire and unsafe edge openings
  • Behavior detection: personnel fall, suspended-load risks, intrusion
  • Protection checks: guardrail/net/edge protection missing

Data and deployment

  • Data access and governance for multi-source devices
  • Model deployment management and backup/export workflows
  • Support for fixed cameras, edge devices, and mobile endpoints

Incident overview combines fixed camera geolocation with event metadata. When a safety event is detected, the platform immediately identifies which camera raised the alert, when it happened, and where it happened on the site map, enabling fast dispatch and root-cause review.

Market value and adoption momentum

Safety-driven AI in construction is both a risk-control necessity and a high-growth digital investment area.

Cost of non-fatal incidents

Falls, struck-by events, overexertion, and same-level incidents remain major contributors to direct compensation and operational loss.

Safety AI reduces delayed detection and improves prevention before incidents escalate.

AI construction market growth

Industry analyses project strong long-term expansion of AI in construction, driven by compliance, productivity, and safety demand.

Scalable site intelligence becomes a competitive baseline for modern project delivery.