- technology discovered here
Search Technologies Technology Needs
Browse Technologies
Browse Technology Needs corporate web site
 Tech of the Week
Each week we feature special technologies. Take a moment to view the other Tech of the Week articles, you may find one that meets a present need.
An ultra-compact flotation device based on the same technology as car airbags
Asymmetric triaminophenols useful for polybenzimidazole polymers
Cosmetics with nanosphere dispersions from renewable, environmentally friendly resources
Fluorinated esters of aromatic acids useful for soil and oil resistance of polymers
Lower-cost ethylene-based high viscosity index lubricant technology
New lysinol-epoxy thermoset polymers derived from renewable source
Precise mass spectrometric quantitation of proteins and other biopolymers
Tech of the Week is special. Click View Listing Details to see the full information on this technology -- even if you're not already a member.
To take full advantage of, Become a Member.
 Archive List
Weapon mount system for hunting
Novel solar collector
Inkjet and ink technologies with particular application to printers
Inkjet ink technologies for increased brilliancy, excellent latency, and bleed prevention
Inkjet technologies for printing on special surfaces or with special effects
More articles...
 Tech of the Week

Inspection technology identifies surface defects


Automated surface defect inspection technology from Nissan identifies potential defects on a painted surface so that they can be remedied. In this way, products with the highest quality finish leave the factory. The inspection system greatly improves the rate of defect detection over those defects found by visual inspection and provides data to a database so that the size, location, quality and other aspects of production line defects can be tracked over time to improve production quality. The system is applicable for inspection of dots/dust from 0.1mm or greater on coated film such as automobile bodies. It uses a series of LED lights configured in stripes, and CCD cameras. The cameras provide images for analysis to a tracking system. If there is a defect, the angle of reflection from the lights shining on the product produces brightness different from the average brightness of the area. The tracking software identifies defects that pass a preset threshold. The tracking software tests the possible defect location several times before it identifies the location as a defect candidate. Information about type, location, and size automatically enters a statistical database for quality control analysis. The system may have additional applications in detecting surface defects on other materials and parts that have surface-quality issues, such as stamped parts and plastic-molded parts, even if they are not painted. The system is already in commercial use, and a later version including lights and camera has been mounted on an articulated arm for robotic inspection of parts smaller than a completed automobile.

Automated system identifies surface defects, enters defect data into database for analysis.

Nissan’s surface defect detection system provides high accuracy of defect detection — close to 100% for defect sizes 0.3mm and above, and can detect defects as small as 0.1mm in the surface. An automated surface defect detection system overcomes the natural tendency of the human eye to tire and miss defects as the shift progresses, thus greatly improving the quality of the painted surfaces leaving the factory. The Nissan detection system reduces the number of inspectors required, and makes the remaining inspectors more efficient.

In order to reliably detect a defect on an inspected surface, electronic pictures of the inspected surface are formed at different positions by moving an imaging area relative to the inspected surface. Defect candidate regions are extracted from a series of the pictures. The system examines whether a movement from one candidate region to another candidate region is proportional to the movement of the imaging area. If the movement between the candidate regions is in proportion to the movement of the imaging area, the system judges that the candidate regions are imagery of a defect on the inspected surface.

The system consists of relatively low-cost equipment, but offers high reliability both in terms of equipment and in terms of detecting imperfections. The system records data about defect location, size, quality, and other information to facilitate continuous paint quality control on the production line.

Download this Tech of the Week as a PDF

You can download this Tech of the Week as a PDF file that you can share with co-workers. When viewed on a computer with an Internet connection, the PDF includes live links back to and the technology listing.

Network and bookmark

Twitter Bookmark and Share

Want to see more? Tech of the Week is special. Click View Listing Details to see the full information on this technology -- even if you're not already a member.
Want to know more? will confidentially pass your question along to the provider of this technology and get back to you with an answer if it is available. This service is free. Ask the owner a question
Like an introduction? Deal directly with the licensing contact for this technology. You´ll need to provide some minimal information. This service is confidential and free of charge unless noted. Request an introduction
Send an email to a friend or colleague that contains a link to this technology. Email this listing to a friend
Boston, MA, USA       Liverpool, United Kingdom       Tokyo, Japan                  
Find a Technology |  List a Technology |  Insight |  Using this Site |  About Us |  Home |  Customer Support |  Help
Privacy Statement   |   Terms of Use Agreement   |   Technology Abstracts
Copyright © 1999-2015 by, Inc. All Rights Reserved.