COGNEX

The piston's compression ring serves several functions in a reciprocating engine, including sealing the combustion chamber and regulating fuel consumption. Defects on the compression ring are difficult to detect due to the reflective metal surface of the piston. The cylindrical shape of the piston is sometimes blurred and out of focus in the image. Normal variations in metal surface texture are expected as part of the manufacturing process, and some of these variations are acceptable, including rust spots, white areas, and surface cracks and fissures. But some long scratches that affect piston performance and threaten compression levels in the cylinder are the real flaws. The inspection system must be able to ignore normal variations and insignificant anomalies on the compression ring surface while identifying longer scratch defects.To program such complex inspections to rule-based algorithms would require complex defect databases. While manual detection is more flexible, it is too slow.

Low quality of human inspection in EV manufacturing

Executing the pick and place processes for simultaneous delivery and quality control of raw materials and finished components on the production line.

As part of the TKH group, LMI Technologies is focused on the design, development, and delivery of smart 3D technologies, while our sister machine vision companies are dedicated to providing high-performance camera-based solutions.

Baraja is a 3D machine vision systems manufacturer. It has invented a new type of LiDAR called Spectrum-Scan which delivers the highest performance available to address the challenge of self-driving cars.Baraja is a rapidly growing start-up, with a revolutionary LiDAR for self-driving vehicles. The company is based in Sydney, Australia, with offices in China and the USA. It is quickly expanding worldwide, hiring through Europe and Asia, closely collaborating with car manufacturers to iterate and refine its vision of what LiDAR needs to be.

Industry 4.0 has a blind spot: Human beings. It turns out that people still perform up to 90% of factory tasks. Even in an age of robotics and IIoT, people are the main contributor to value-and, alas, to variability. Unfortunately, techniques for measuring human effectiveness haven't materially changed in a century. They remain manual and impossible to perform at scale. People are effectively invisible to analytics. Drishti (Sanskrit for "vision") solves this problem using what may be the world's first commercial application of action recognition to digitize human activities on the assembly line. Drishti creates a massive new dataset that enables true Digital Transformation for manufacturers while simultaneously making line workers more competitive against automation. Our mission is to "extend human potential in an increasingly automated world", starting with this 100-year-old problem in the $12T global manufacturing industry.

InData Labs’ mission is to help clients rocket their competitiveness and get brilliant results of their work unseen before. As a Data Science firm with AI-powered solutions provider with its own R&D center, InData Labs helps businesses of all sizes all over the world to get valuable insights into data, automate repetitive tasks, enhance performance, add AI-driven features, and prevent cost overruns.

Oxaile focuses on enabling progressive businesses to transform, scale and gain competitive advantage, through the expert delivery of innovative, tailor-made software. Their data-driven solutions help organizations and people around the world to perform more effectively and achieve better outcomes. Currently, Oxagile is a provider of custom web and mobile application development services focusing on multi-platform video streaming and RTC solutions, serving over 1 billion users.