February 28, 2018 | Developers Corner

Increasing Speed in Deflectometry Set-ups

Discover three approaches to increase speed in deflectometry setups, from simple software-based synchronization to hardware triggers and FPGA-based real-time control, enabling faster and more precise inspection of reflective surfaces.

Deflectometry is useful for inspecting reflective (specular) surfaces. These surfaces are tricky to inspect with other methods, due to a mirror image appearing on the surface. Chapter 8 in the HALCON Solution Guide I describes the principle of deflectometry, which uses the specular reflections by observing mirror images of known gray code patterns and their deformations on the surface.

As usual, speed is an important factor. In deflectometry, speed is not necessarily limited by the algorithms; instead, the limitation mainly comes from hardware constraints and synchronization. When acquiring a single structured light pattern with the camera, we have to know which pattern is acquired. Thus, previously displayed stripes should not be visible. Below, we will introduce three ideas how to deal with this synchronization problem. These differ in terms of implementation complexity and speed-up potential.

The simplest set-up (see Fig. 1) basically uses the operator structured_light_camera_screen_sync() to find a suitable delay for each image acquisition. This quick win requires no additional hardware besides the monitor and camera, and no special configuration. Naturally, the acquisition speed is limited well below the frame rates of both camera and monitor.

Improved synchronization can be achieved using hardware triggers (see Fig. 2). Using photo sensors in a small area of the monitor is described in solution guide I section 8.3.3. This “hardware-only” improvement directly triggers the camera when the monitor image changes. Advantages include speed-up thanks to synchronization, a simple and robust set-up without significant additional hardware cost. Acquisition frame rates of around 12 to 16 frames per second (fps) are realistic.

Finally, a potential set-up using dedicated FPGA Hardware can be seen in Fig. 3. An FPGA evaluation board can be used to control both the monitor and camera syn­chro­nization. The pattern is generated directly in the FPGA using the VGA output, and the camera is triggered through one of the logical outputs. For as little as the costs of a development board (~ €150) synchronization using real-time programming can be realized. The acquisition frame rate achieved in a demonstration set-up was 30 fps. Adjustments to the phase-locked loops (PLL), hardware choices, or innovative set-up arrangements could push the acquisition frame rate beyond the capabilities of a standard 60-fps monitor.

Please note: These results are from test stands that do not claim to be suitable for industrial use.

Published on: February 28, 2018

Further Success Stories

MVTec HALCON product icon
Warehouse where cheese wheels age during the ripening process
Revolutionizing Cheese Production with AI and Machine Vision
The food industry is experiencing a transformative shift in quality control, due in part to advances in artificial intelligence (AI). When combined with rule-based machine vision, AI is enabling automation of processes that were previously impossible…
Show full Story
HALCON
Food & Beverage
Robotics
Anomaly Detection
Deep Learning
MVTec HALCON product icon
Dynamic OCR inspection with HALCON ensures maximum product quality
In the pharmaceutical industry, strict compliance regulations require medical product packaging to be correctly labeled before delivery. To meet these requirements, the Chinese company Shenzhen Jiangrun Xuneng Technology has developed a powerful mach…
Show full Story
HALCON
Medical Supplies & Pharmaceutical
Bar Code & 2D Code Reading
OCR
MVTec HALCON product icon
Automatisierte Transport- und Inspektionsstation für pharmazeutische Ampullen mit Machine-Vision-System von Aspen.
AI-powered machine vision automates quality inspection in the pharmaceutical industry
The pharmaceutical company Aspen is improving the quality inspection of filled ampoules with the MVTec HALCON machine vision software and the consulting and technical support services provided by MVTec. With deep learning methods, the company has sig…
Show full Story
HALCON
Medical Supplies & Pharmaceutical
Blob Analysis
Deep Learning
Matching
MVTec HALCON product icon
University of Paderborn, Heinz Nixdorf Institute
The Heinz Nixdorf Institute (HNI) joined the MVTec on Campus program in 2022. The University of Paderborn is a renowned research and educational institution specializing in the field of computer science and its applications in the context of digital…
Show full Story
HALCON
Robotics
Education, Research & Science
MVTec HALCON product icon
Intelligent Image Recognition for Automotive Logistics
An intelligent, database-based image recognition system supports order picking in automotive logistics. It shows staff the correct component, uses cameras to verify that packaging is ready for shipment, and enables seamless documentation. The solutio…
Show full Story
HALCON
Automotive
Packaging & Logistics
Object Detection
MVTec HALCON product icon
Line-scan vision system diagram used for inspecting printed materials with defect detection along a conveyor.
Industrial Inspection: Line-scan-based vision system tackles color print inspection - Daheng Image Vision
Daheng Image Vision uses a line-scan vision system with two Teledyne DALSA cameras and MVTec HALCON to inspect color prints on conveyor belts at 300 m/min. The system reliably detects ink spots, embossing errors, and misregistration, enabling compreh…
Show full Story
HALCON
Glass, Metal, Paper, Foil & Printing
Alignment
Classification
Matching
MVTec HALCON product icon
X-ray film dosimeter badges and opened cassettes with different metal filters inspected by a machine vision system.
Vision System Inspects X-ray Dosimeter Badges – Helmholtz-Zentrum
Helmholtz-Zentrum Munich uses HALCON to fully automate the evaluation of approximately 120,000 X-ray dosimeter films per month. Optical density, film type, and dosimeter numbers are precisely captured, and radiation sources are analyzed. The system s…
Show full Story
HALCON
Medical Supplies & Pharmaceutical
Calibration
Filtering
Matching
Measuring
OCR
MVTec HALCON product icon
Plastic rings on a conveyor used for automated machine vision inspection.
Closing the Ring – NP Plastics
NP Plastics in the Netherlands manufactures small plastic rings used in binder closing mechanisms. To increase throughput and improve quality, the company deployed a machine vision system with two AVT FireWire cameras, LED illumination, and HALCON so…
Show full Story
HALCON
Glass, Metal, Paper, Foil & Printing
Blob Analysis
Measuring
MVTec HALCON product icon
Workflow der Produktion zylindrischer Lithium-Ionen-Batterien mit verteilten Sensorsystemen und zentraler Deep-Learning-Auswertung mit MVTec HALCON.
MVTec HALCON’s deep learning helps Panasonic Energy to propel automotive battery production
Panasonic Energy manufactures automotive batteries, for which demand is increasing worldwide, at multiple sites in Japan and North America. The company recently implemented MVTec HALCON’s deep learning technologies on a large scale at its Kansas plan…
Show full Story
HALCON
Battery Production
Automotive
Deep Learning
Inspection
MVTec HALCON product icon
Advancing machine vision education at Reutlingen University
At Reutlingen University, Professor Arnd Buschhaus has been integrating MVTec HALCON into the teaching curriculum since 2018. HALCON is used extensively in courses related to robotics and machine vision, providing students with practical experience i…
Show full Story
Education, Research & Science
3D Vision
Blob Analysis
Classification
MVTec HALCON product icon
Robotic welding cell inspecting car body weld seams using machine vision.
Machine vision optimizes quality inspection in automotive production
Consistently high quality is an absolute must in automotive production. To ensure that welded connections in body shells meet these standards, DGH has developed an application that automatically inspects them and identifies anomalies. The MVTec HALCO…
Show full Story
HALCON
Automotive
Anomaly Detection
Deep Learning
Inspection
MVTec HALCON product icon
High-speed battery inspection using machine vision.
Machine Vision automates and optimizes battery inspection
A variety of defects can occur during battery production. Averna has developed a method for the automated inspection of batteries that reliably detects all conceivable defects. Here, the machine vision software MVTec HALCON plays a key role.
Show full Story
HALCON
Battery Production
Blob Analysis
Inspection
MVTec HALCON product icon
Automated robot cell handling vaccine vials with machine vision.
Machine Vision automates vaccine production
A global company needed to quickly ramp up vaccine production. Goldfuß engineering GmbH and SIMON IBV GmbH developed a robot-based solution for loading and unloading trolleys with the vaccine vials. The machine vision software HALCON ensures the seam…
Show full Story
HALCON
Robotics
Medical Supplies & Pharmaceutical
3D Vision
MVTec HALCON product icon
Micromechanical part measured with machine vision for high-precision inspection.
Machine vision improves the measuring process of precision and micro components
The precise inspection of very small precision components, for example in watchmaking, is a challenge. Petitpierre, the Swiss specialist for high-precision technology, has developed sophisticated applications with which micromechanical components can…
Show full Story
HALCON
Matching
Measuring
MVTec HALCON product icon
Industrial robots performing laser welding on battery cells guided by machine vision.
Machine vision accelerates battery production
High speed, precision, and reliability: These are the determining factors for battery production. To meet the rapidly growing demand for batteries, companies are developing increasingly efficient production processes. Laserax has developed a new syst…
Show full Story
HALCON
Battery Production
3D Calibration
Calibration
Matching
MVTec HALCON product icon
Robotic manufacturing cell assembling satellite panels with optical solar reflectors using machine vision.
Seeing robots process large work area with high precision
The automation specialist AKEOPLUS has developed an innovative robotic cell for the production of satellite panels at the global space manufacturer Thales Alenia Space. The special feature: robots place the components with high absolute accuracy to a…
Show full Story
HALCON
Robotics
3D Vision
Matching
MVTec HALCON product icon
Students and researchers using a robot with machine vision in a university lab to demonstrate the impact of MVTec HALCON on education and research.
Technical University of Applied Sciences Würzburg-Schweinfurt
At Technical University of Applied Sciences Würzburg-Schweinfurt (THWS), Professor Christian Zirkelbach is teaching robotics and machine vision at Faculty of Applied Natural Sciences and Humanities. He has integrated advanced machine vision tools int…
Show full Story
HALCON
Robotics
Education, Research & Science
3D Vision
Deep Learning
MVTec HALCON product icon
Aluminum bottles on a production line identified by OCR using machine vision for automated quality control.
Empty bottle? Not with Deep OCR
To identify products quickly and reliably, even in difficult circumstances, machine vision has proven its worth. The company Visione Artificiale also relies on machine vision for its system to trace aluminum bottles during production. Within this sys…
Show full Story
HALCON
Food & Beverage
OCR
MVTec HALCON product icon
Operating personnel using the PackCheck machine vision solution for quality control in food packaging production.
Machine vision for every taste
The Dutch company PackCheck BV ensures packaging quality in the food industry with a modular solution. Part of the solution is the machine vision software HALCON from MVTec Software GmbH. This enables the company to increase the efficiency of packagi…
Show full Story
HALCON
Food & Beverage
Bar Code & 2D Code Reading
Blob Analysis
Matching
OCR
MVTec HALCON product icon
Hand-eye calibration enabling precise alignment between camera and robot for accurate gripping of accessory bags.
Perfectly positioned plastic bags – with classic machine vision and deep learning
Consistently automated pick-and-place activities require the reliable gripping of differently shaped and translucent objects. TEKVISA has implemented a sophisticated application that enables reliable gripping even with complex surfaces with the help…
Show full Story
HALCON
Robotics
Deep Learning
MVTec Software