『From Theft to Safety: The 2025 Landscape of AI Surveillance in Construction』のカバーアート

From Theft to Safety: The 2025 Landscape of AI Surveillance in Construction

From Theft to Safety: The 2025 Landscape of AI Surveillance in Construction

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Construction sites are mission-critical yet high-risk environments. In this episode, inspired by the blog “Best 10 AI Surveillance Systems Securing Construction Sites in 2025” (link here: https://alphavision.ai/blogs/axis-integration/top-10-ai-surveillance-construction-2025), we examine the top AI surveillance systems shaping the industry this year, what differentiates them, and how projects can adopt them thoughtfully.

Key Takeaways
  • Why AI surveillance is becoming essential in construction (theft, safety, regulatory pressure)

  • Deep dive into standout platforms (Axis + Alpha Vision, Verkada, Rhombus, Hanwha, Spot AI, etc.)

  • Feature tradeoffs: cloud-dependence, offline modes, alert fatigue, integration flexibility

  • Selecting the right fit: criteria like deployment speed, scalability, compliance, cost

  • Best practices: start small, iterate, monitor AI performance, plan redundancy

Who Should Listen
  • Heads of security / risk in construction firms

  • Systems integrators and solution architects

  • Safety, quality & operations leads in industrial projects

  • Tech strategy and innovation teams in large construction / infrastructure enterprises

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