Cognex Deep Learning
From the phones in our pockets to the reality of self-driving cars, the consumer economy has started to tap into the power of deep learning. This technology is now migrating into advanced manufacturing practices for quality inspection and other judgement-based uses. Deep learning-based image analysis combines the specificity and flexibility of human visual inspection with the reliability, consistency, and speed of a computerised system.
Deep Learning is an industry changing AI innovation based on identifying and analysing a series of images. Cognex ViDi is the first deep learning-based image analysis software designed specifically for factory automation. Combining artificial intelligence (AI) with Cognex Designer software.
In 2018 only 15% of enterprises were using AI, according to Adobe this number was expected to increase to 31% by 2019. This increase comes as a result of the new industrial revolution, industry 4.0 and emerging capabilities like; machine learning and AI. According to Accenture’s Technology Vision 2017, AI has the potential to double annual economic growth rates by 2035.
Cognex ViDi software has been recognised with both Platinum and Gold Innovators Awards from Vision Systems Design. The software uses artificial intelligence to improve image analysis in applications where it is difficult to predict the full range of image variations.
The software learns directly from a set of images to conceptualise the normal appearance of a part. During inspection it applies logic, without even being programmed to do so, to read characters, locate, inspect, classify and sort parts, even if conditions vary. Instead of looking for pre-defined flaws, each defined in a particular instruction set, deep learning technology allows the machine to understand the characteristics of a good product. From there, it becomes a question of the machine making decisions. The system learns by example and begins to make judgment calls.
Increased accuracy and flexibility.
Helps machine develop solutions to the most sophisticated automation challenges.
More productive and intelligent manufacturing.