Lynx Inspection Brings Predictive 3D Radiography To Market

As it celebrates this year its 30th anniversary, INO has announced the creation of its 34th spin-off, LynX Inspection, a company that develops cutting-edge digital vision solutions geared towards the industrial inspection market.

LynX Inspection began its partnership with INO a year ago through the Entrepreneur-in-Residence Program, which is a joint initiative implemented by INO, the City of Québec, and the Anges Québec network. Over the past year, LynX has had access to INO’s material and human resources, thus helping it develop the technology at the core of its inspection system.

“This is the second time I have been involved in starting a business with INO, so I am well aware of the quality of their resources and the true potential of such a collaboration,” says Luc Perron, founding president of LynX Inspection. “As a start-up company, this collaboration has enhanced our credibility with our business partners while giving us access to complementary expertise to help us reach the commercialization phase of our solution more quickly.”

By combining 3D technology and X-ray imaging, LynX Inspection can analyze both the internal and external structure of complex parts, such as precision molded, machined, or additive manufacturing parts. This system, which is in the process of being commercialized, could prove to be crucial in the manufacturing market, particularly in industries with high quality control requirements, such as the automotive, aerospace, and defense industries.

LynX Inspection development is described as a game-changing machine vision solution for parts manufacturers that not only is fast and easy to use, but is also affordable, easy to automate and ready for Industry 4.0. This solution is based on a proprietary method (patent pending) that the company refers to as Predictive 3D Radiography. This new method combines digital X-ray imagery with computer vision and 3D simulation. It fully exploits X-ray physics and known information about the object and its environment to complement the data extracted from hundred of sequential X-ray images captured in just a few seconds. Defects are found and analyzed by comparing features in the X-ray images with the expected results from a corresponding sequence of simulated images.

The solution provides 3D inspection results that are equivalent to Computed Tomography (CT) but in a process that is about 20X faster and with an equipment cost that is typically 4X cheaper. For large part quantities, labor costs can be more than 10X cheaper than what they would be for a traditional X-ray inspection process.

About INO

INO is the largest centre of expertise in optics and photonics in Canada. For 30 years, it has been creating and developing customized solutions to meet the needs of companies in Quebec and throughout Canada in various sectors of activity. A leader in high technology, INO has carried out 72 technology transfers and contributed to the creation of 34 new companies, which employ more than 2,000 people.

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