July 2019

| 38 | July 2019 www.smartmachinesandfactories.com | TECHNOLOGIES | Deep learning is growing in popularity in the domain of machine vision. It enables data scientists to carefully craft programs to mimic human decision making in specific, well-defined tasks. Smart Machines & Factories takes a look at how manufacturers can easily benefit from deep learning in their machine vision applications. single line. Even the most advanced solution equipped with deep learning will not be truly flexible. Because the task is so complex, the manufacturer will arrange for a systems integrator to select the lighting, cameras, communication, housing and more. It will be the systems integrator that selects the deep learning software for use in the machine vision solution as manufacturers do not have the expertise in-house to set up, train and operate a traditional deep learning Deep learning in machine vision A s manufacturers look towards more intelligent machine vision systems, deep learning is becoming a more common technique. A report by ABI Research predicted that deep learning-based machine vision techniques within smart manufacturing will experience a compound annual growth rate of 20 per cent between 2017 and 2023, with revenue reaching $34 billion by 2023. However, there are huge barriers to implementing machine vision solutions, due to their cost and the requirement for extensive downtime. Many manufacturers are left unable to install any machine vision solution, because it is cost prohibitive or too complex an engineering task. The traditional vendor mechanism for deep learning machine vision means that software is sold as a package separately from the other components, all of which must be put together as a hard-engineered solution. This solution will be applicable for inspecting a single product at a single location on one