Motion Amplification 3.0: The Next Generation of Camera Sensing

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Motion Amplification is a video-processing technique that detects subtle motion and enhances that motion to a level visible with the naked eye. Motion Amplification Technology can resolve motions as small as 0.25 microns at 1 meter. Compared to standard video technology, this is an improvement of nearly 1000x. The process involves the use of a high definition and high dynamic range video cameras where every pixel becomes an independent point sensor creating millions of continuous data points in an instant. All the points in the image are acquired simultaneously meaning relative phase can be determined across the entire scene. This solves fundamental issues in today’s standard contact-based data collections, that is for large or inaccessible assets outfitting them with contact sensors is costly and difficult because of the sheer number of sensors required to cover the entire asset or access to the asset it restricted. In addition, the technology allows the user to simply draw a box and measure the time waveform and spectrum in absolute units of displacement.

A key capability of the Motion Amplification Technology is the speed in which the results are returned. Data can be instantly processed, and Motion Amplification can be viewed live making the technology field ready and useful for troubleshooting. This is key if the user is doing root cause analysis, trying to pinpoint the location of a motion or fault, or analyzing equipment such as process lines during operation. The non-contact aspect of the technology makes it ideal for measure of assets that are inaccessible, which is common in most manufacturing facilities. Videos created through Motion Amplification enhance the understanding of the components and interrelationships creating the motion. This makes it a great troubleshooting tool, quick and effective alternative to traditional displacement sensors, and effective communication tool between technical and non-technical resources. Examples of uses are troubleshooting process lines to determine motion that produce jams or quality issues in products. Multiple examples and case studies will be highlighted ranging from a simple case of resonance or non-linear behavior to complex structures and motions.


• What is Motion Amplification – Overview and technical capabilities
• How Motion Amplification can be used to diagnose faults in equipment
• Case studies on how Motion Amplification has been used in manufacturing
• Recent advancements in version 3.0 that allow for new types of fault finding and analysis


Jeff is the CEO of RDI Technologies. He thrives on creating innovative products that disrupt industries and help customers see things in a whole new way. He believes that cameras are the industrial sensor of the future.

Jeff’s background is in Applied Optical Physics. Before founding RDI, Jeff held a Research Scientist position at the University of Louisville where he developed and patented a method to measure motion remotely with the use of a video camera. His roles focused on data acquisition, signal processing, software development, and data analysis. In addition to these technical roles, Jeff was responsible for overseeing the commercialization aspect of the grants he was involved in.

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About the Author

Jeff Hay CEO, RDI Technologies

Jeff graduated from the University of Louisville in 2011 with a Doctorate in Physics where his research focused heavily on Applied Optical Physics. After graduation he took a position as a Research Engineer with the University of Louisville where his roles focused on data acquisition, signal processing, software development, and data analysis. Several of the grants Dr. Hay participated in required commercialization strategies of which he spearheaded. While at the University he invented a technology to measure motions remotely with the use of video camera, a technology that was patented in 2011. In 2013 Dr. Hay left the University to start RDI, LLC to bring the technology he invented out of the University and into commercial markets. He took on the role of CEO of RDI and licensed the technology from the University of Louisville. In addition to this he has worked with sub-licensees to assist in commercialization of the technology within their organizations.