Where Is Machine Vision Going Next?
Did you know that the earliest machine vision concepts date back to the 1930s? One of the first applications for machine vision and automation was using food sorting machines outfitted with filters and photomultiplier detectors. Since then, machine vision has come a long way, thanks to improved cameras and computer processing power. But where is machine vision going next?
Machine Vision Gives Technology the Gift of Sight
The expansion of automation and robotics led to the symbiotic development of machine vision systems. Researchers have long appreciated the idea of giving machines sight so they could better adapt to changes in their environment. With vision, robots could do more dull, dangerous, and dirty jobs, allowing humans to focus on roles requiring creative, critical thinking.
Manufacturers have been quick to adopt machine vision. As a result, the equipment on many assembly lines can adapt to part tolerances, offer more variations, and reduce stoppages. Service robots navigate facilities to deliver materials and tools, keeping humans focused on their assigned tasks. And drones are already zipping overhead with the aid of machine vision, delivering packages to consumers.
Current Trends and the Future of Machine Vision
There are many more factors contributing to the growth of machine vision. The Industry 4.0 revolution and the Industrial Internet of Things seek to connect production technology with cloud-based neural networks and artificial intelligence. Machine vision is an integral part of completing the datasets required to power those technologies and also gives connected machines the ability to adapt on the fly.
Machine vision has broken out of the industrial plant and has found its way into other areas. All types of vehicles, from cars to farm equipment to drones, are navigating their environments without the need for human interaction thanks to machine vision. It’s even being used in consumer products like smartphones for image editing and searching the web. Home security cameras use vision to detect movement and identify the type of threat present.
The labor shortage is a real challenge that’s already starting to affect everyday life in many countries. More automation will be required to care for essential tasks. Jobs like bin-picking, pulling weeds, moving materials, and making deliveries may soon be for the robots as humans focus on managing and decision-making instead.
Are you thinking about adding machine vision to your facility? Purchase a camera from Phase 1 camera for your next machine vision project.