Unprecedented levels of developments have occurred in artificial intelligence, big data, 3D imaging, and robotic process automation, in turn changing the way machine vision technology is deployed. The latest trends in image sensors, optics, and image processing are influencing machine vision like never before. More industries are embracing robotics, vision, and motion to help them keep up with the demands in cost, quality, speed, and tremendous other factors, reaping the benefits of automation. Machine vision is finding its way into applications in and out of factory settings, riding the wave of progress in automation technology and growing into a global industry. The need for quality inspection and automation inside factories, along with the integration of AI into machine vision software to enable deep learning in robotics will be the main factors for the growth of machine vision.
Robotics has become a key indicator for the growth of the machine vision market due to its utilization in industrial automation by incorporating technologies such as sensors, infrared cameras, and optical components like lenses. For decision-making and implementation purposes, factories are connecting the production floor with information technology through IIOT, which depends on machine vision solutions for the collection of information and its analysis.
Due to their different functionality, machine vision solutions are making their presence felt in non-industrial applications such as driverless cars, autonomous farm equipment, drones, intelligent traffic systems, and AI-assisted surgeries. Their easy to use characteristics with further standardization are the driving factories to deploy them in different sectors of their facility.
Another area with great potential for growth is the combination of thermal imagery with machine vision solution. With thermal imaging integrated solutions, manufacturers will be able to spot technical issues which are not visible to the naked eye or standard camera systems. Machine vision technologies are steering much of the changes in manufacturing, specifically in highly regulated industries like food and beverages, pharmaceutical and medical device manufacturing. By employing machine vision solutions, organizations are on the road to making production lines more efficient through effective use of resources and improving productivity.
Digital imaging and processing techniques, which include computational imaging combines computation, and optical encoding is being merged into machine vision applications for accuracy, productivity, and reliability in manufacturing. Polarising sensors are being adopted in solutions to provide flexibility in the polarization of light to enable new functions in previously impossible sensors.
As technological advancements revolutionize the machine vision landscape, it can be cumbersome for CIOs to choose a solution provider that best fits their requirements. The editorial team at Manufacturing Technology Insights along with a remarkable panel comprising of CIOs, CEOs, VCs, and analysts, have assembled a list of the best players in the industry based on their technical competence and efficiency. Assessing the company’s core competencies, offerings, their passion for technologies, and their dedication to steer organizations to the next level, we have shortlisted solution providers who are prominent in the industry.
We present to you, Manufacturing Technology Insights’, “Top 10 Machine Vision Solution Providers in Europe-2019.”