Leveraging predictive maintenance
Industries with distributed fixed assets share specific challenges when it comes to maintenance. As these assets are distributed throughout a region, there is usually no dedicated maintenance team for each asset. Maintenance workers have to cover large areas, travel to the assets’ various locations, and bring the appropriate instructions, spare parts, and tools.
The challenge is particularly acute in capital intensive, highly regulated industries with long lifecycle assets due to their reliance on legacy infrastructure. Many infrastructure owners struggle to maintain cost-optimal maintenance frequency.
The building, maintaining, and managing of infrastructure depends heavily on labor-intensive, repetitive tasks from checking deliverables with plans to detecting malfunctions and other issues. Customers can make multiple call-outs without fixing the issue.
In the worst cases, misalignment between planned work and reality can cost millions in damages when construction breaks down or destroys pipes or cables. Moreover, on roads and waterways, public safety can be at risk if defects are not identified and acted upon immediately.
Digital inspectors, created on BrainMatter perform real-time identification of anomalies, maximize the utilization of human resources, and allow companies to maintain the infrastructure at a lower cost.
Eliminate manual footage reviews, exclude the risk of human inconsistency, ensure inspections at the optimal frequency, and comply with regulatory requirements.
Collaboration to realise an intelligent solution for visual road inspection. Thanks to this intelligent solution, Unihorn will no longer have to manually detect road defects in infrastructure and public spaces.