ASNT Conference

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1 ASNT Conference Automated Remote Inspections Using Spatial Phase Imaging Preston Bornman Director - Photon-X NASA Johnson Space Center Houston, Texas photon-x.com

2 About LLC designs and builds optical sensors and software applications that provide real-time numerical 3D capture and intelligent analytics of the physical world using the proprietary measurement of emitted electromagnetic energy (light). This is done using a proprietary optical sensor technology invented by our CTO called Spatial Phase Imaging or SPI. The Company is 16 years old and has produced a wide variety of successful projects for NASA, the military and clients in the energy, medical, media and aircraft industries The NEW Generation of Optic Sensors

3 Photon-X Technology q Sensor (Fifteen patents (Patented, Patent Pending, or Provisional) Detect targets at nearly any distance from less than 1 foot to over 15 kilometers Perform target acquisition in challenging environments and weather conditions Measures at the ¼ pixel level to produce images in the micron range Identify and provide real-time data on either still or targets in motion Produce volumetric, full color 3D imaging content for real-time use or for storage to be used at a later time q Analytic Software 3D Unique capture 4D Compares past & present 5D - Predictive analytics Customizable per customer s requirements Silica Based Sensors The NEW Generation of Optic Sensors

4 Client Sampling q Many contracts from DoD, Intel Agencies, DARPA, OSD, JIEDDO, DOT, DoJ and NASA, Advanced Sensor DARPA/JIEDDO q Many private industry clients including large media companies and international oil companies 4

5 Physics q All objects emit Electromagnetic Radiation (EM) at all times q Objects emit radiation over a wide range of wavelengths; the amount of energy emitted at each wavelength is not the same q This EM is emitted at angles to the surface of the object The NEW Generation of Optic Sensors

6 Current Technology Charge-coupled device (CCD) or a CMOS image sensor Measure the color and brightness of each pixel and stores it as a number Convert the variable attenuation of light waves into small bursts of current that convey the data Digital photograph is effectively an enormously long string of numbers describing the exact details of each pixel it contains The NEW Generation of Optic Sensors

7 Spatial Phase Imaging q There are three characteristics of light: frequency, intensity, and spatial phase q The spatial phase state of a beam of light characterizes the degree to which the electric field vectors of individual waves are aligned. q When unpolarized light reflects off the surface of an object it is polarized so the surface orientation can be detected q Pixel intensity values corresponding to 0, 45 and 90 degrees of linear spatial phase are captured simultaneously, data can be converted to a set of Direction Cosines for that surface area q Knowing the surface normal at each projected pixel on the target object allows for its surface data to be computed Normals The NEW Generation of Optic Sensors

8 Simple Process The NEW Generation of Optic Sensors

9 Spatial Phase Imaging A. 3D Shape image with color texture (all turned 45º) B. 3D Shape image displayed in open GL (1.2m Vertices) C. 3D surface normals Original images The NEW Generation of Optic Sensors

10 Client Example AUTOMATIC SURFACE INSPECTION USING SPI IMAGING The NEW Generation of Optic Sensors 10

11 AUTOMATIC SURFACE INSPECTION USING SPI IMAGING Phase 1 & 2: Non-slip Surface and Topside Equipment Inspection MILESTONE: Phase 1: Proof of concept in at Photon-X labs Phase 2: On-site facility multi application test OBJECTIVE: Automate remotely quantifiably all visual Inspections to ISO or Self-Certifying requirements Visual Inspections tested include; Blistering, Rust, Cracking, Flaking, Chipping, Stress/Strain, Volumetric Metal Loss and Non Slip Surface All Visual Inspections are done at one time Onsite Test Facility

12 AUTOMATIC SURFACE INSPECTION USING SPI IMAGING SYSTEM OVERVIEW Objectivity, remotely, accuracy, repeatability, and automation Eliminates the subjective variance Photon-X Sensor: Acquire IMAGE SPI Technology: Convert to 3D Algorithms: Analyze and Process Data ISO Standard Classification Reduced labor cost De-manning inspection operations Environment can be captured digitally, algorithmically analyzed, and its output quantified Frequency of inspection is virtually free Predictive Modeling maintenance calculated based on degradation rates

13 AUTOMATIC SURFACE INSPECTION USING SPI IMAGING APPLICATIONS Coefficient of Friction Measurement Coefficient of Friction is 0.57 no maintenance required Blister and Rust Measurement Blister ISO d3s5 Rust ISO Ri5 Send maintenance in 3 weeks Metal Loss Measurement Material Stress Analysis Year-round Structure Assessment 15% of Truss has reached critical threshold Flaking and Chipping Measurement

14 Application: Assessment of Degree of Blistering and Corrosion Automated Optical Inspection to ISO standard SYSTEM OVERVIEW Objectives: Automated evaluation of degradation of coatings, designation of quantity and size of defects such as blistering and corrosion * Quantitative measurements for inspection * RUGGEDIZED to meet Environment and Sustainability * SCALABLE to meet future changes and processing needs * ISO Standard reporting (4628) TECNOLOGY BENEFITS SPI 3D Technology: * Sub-millimeter accuracy * Passive low cost optical approach Increased Defect Detection Quantitative and repeatable * Increase accuracy and reporting speed * Non-intrusive analysis * High detail analysis of defects * Fully automated: No human inspection * Rapid, accurate survey results via online APPLICATION Spatial Phase Sensor Technology ü Assessment of Rust and Blistering on Deck surfaces ü Pipes and metal containers ü Floor grating and walkways ü Joint and deck structure ü Automation & Demanning

15 Application: Assessment of Degree of Blistering and Corrosion Automated Optical Inspection to ISO standard Successful Demonstration for Evaluation of degradation of Blistering / Rust Processed SPI image Blistering Detection Rust Detection ISO Standard Grading ISO Standard Automatic Classification Blistering / Rust detection Algorithm SPI 3D Image Acquired Image

16 Application: Optical Volume Metal Loss inspection SYSTEM OVERVIEW Objectives: Inspection of amount of material lost on a surface due to abrasion, erosion, corrosion or other types of wear * Quantitative measurements for inspection * RUGGEDIZED to meet Environment and Sustainability * SCALABLE to meet future changes and processing needs TECNOLOGY BENEFITS SPI 3D Technology: * Sub-millimeter accuracy * Less space and faster than traditional LASER scanners * Increased Defect Detection * Increase accuracy and reporting speed * Non-intrusive analysis * High detail analysis of defects * Fully automated: No human inspection * Rapid, accurate survey results via online APPLICATION Spatial Phase Sensor Technology ü Metal loss on Deck surfaces ü Pipes and metal containers ü Floor grating and walkways ü Joint and deck structure

17 Application: Optical Volume Metal Loss inspection Successful Demonstration for Metal Volume Loss Metal Volume loss Algorithm Processed image High Confidence Detection of degree of Volume Loss Rate of Volume loss can be predicted Divot Depth Measurement = 0.86mm Depth at Point = 0.26mm Spatial Phase 3D Image Acquired Image

18 Phase II Summary: Non-slip Surface and Topside Equipment Inspection Curved surface analysis Photon-X developed a surface modeling algorithm that would fit a volumetric surface. This algorithm produces a surface which represents the behavior of the supplied data as closely as possible: Curved surface analysis applied to Metal Loss algorithm

19 AUTOMATIC SURFACE INSPECTION USING SPI IMAGING BLISTER ANALYSIS: ISO REGION OF INTEREST ISO REFERENCE PX Sensor SPI Engine Proprietary Computation Analysis Algorithms ISO Report 19

20 Non-slip Surface and Topside Equipment Inspection Phase II Phase II Findings: Excerpt from final report Captured data & Region of Interest (ROI)!"#$% '"(( = / Metal Loss Methodology

21 AUTOMATIC SURFACE INSPECTION USING SPI IMAGING NON-SLIP SURFACE ANALYSIS REGION OF INTEREST REFERENCE PX Sensor SPI Engine Proprietary Computation Analysis Algorithms Analysis Report 21

22 AUTOMATIC SURFACE INSPECTION USING SPI IMAGING ENHANCED SOFTWARE TOOLS Historical Data Comparison Predictive Trending Geo-positioning Analysis tools for all relevant ISO Standards ISO Blistering ISO Rusting ISO Cracking ISO Flaking ISO Chalking by tape ISO Chalking by velvet method ISO delamination and corrosion around a scribe ISO Filiform Corrosion 22

23 AUTOMATIC SURFACE INSPECTION USING SPI IMAGING SUMMARY: Successful Application of Automating 4 Inspection Processes on project Automate remotely quantifiably all visual Inspections to ISO or Self-Certifying requirements Visual Inspections tested include; Blistering, Rust, Cracking, Flaking, Chipping, Stress/Strain, Volumetric Metal Loss and Non Slip Surface All Visual Inspections are done at one time OTHER PHOTON-X CAPABILITIES: SPI: 3D Volumetric Measurements NIR: Immunity to Day/Night lighting Conditions LWIR: Thermal Imagery COLOR: Colorized depth map HYPERSPECTRAL: Advanced Contaminant and Identification SOFTWARE: Volumetric Historical Analytics 23