Demand for non-invasive monitoring of plant and machine maintenance continues to drive development in thermal imaging. As technology advances and researchers find effective ways to mitigate limitations, we will see higher resolutions and increased accuracy in these devices.
It is also highly probable that with the current exponential improvements in artificial intelligence and machine learning technologies, we could soon see on-board or remote analysis of thermal readings or images with relevant, applicable guidance and recommendations for machine maintenance and repair - perhaps even in a fully automated way. Further speeding up diagnosis, error correction, and damage prevention, resulting in increased productivity, cost-benefit, and greater return on investment.
While we eagerly wait for these advancements, why not look at the devices currently available and see how they can improve your plant and machinery maintenance processes?