Artificial intelligence combined with short video technology is reshaping how industries conduct remote inspections. Instead of relying on frequent site visits, organizations are increasingly adopting AI-analyzed video feeds to monitor infrastructure, enabling faster, data-driven decisions. Rajat Khare, founder of Boundary Holding, emphasizes that this shift is less about efficiency and more about creating a scalable, sustainable model for sectors like energy, construction, and utilities.

AI-powered short videos offer clear benefits: enhanced visibility, lower costs, faster decision-making, and real-time issue detection. Algorithms can flag defects, misalignments, or hazards instantly, preventing small problems from escalating. Companies like Vyntelligence, TechSee, and Blitz are pioneering this approach, helping utilities, telecom, and construction firms integrate AI-driven video oversight into operations.

The workflow spans video capture via mobile devices, drones, or sensors, followed by cloud-based processing, AI analysis, and actionable alerts. Continuous learning strengthens accuracy over time. Investors see vast potential, as this early-stage technology aligns with clean-tech goals by reducing travel, emissions, and risks, while offering scalability and predictability.

Challenges remain—accuracy, data security, infrastructure, and high upfront costs—but the future promises broader adoption across industries, integration with IoT and AR/VR, and global recognition of AI video inspections as a compliance standard.

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