Machine vision lets a computer look at images, live or recorded and figure out what's in them. While this means party tricks like telling dogs from cats, or distinguishing hot dogs from, well, any other object, it can also be used to free robots up to do more than just repetitive tasks, meaning a wider range of applications and more flexible approaches.
Here are the top five things to know about machine vision:
1. It's a big market. BCC Research pegs the global market for machine vision system components at $19.0 billion for 2016 and an estimated $30.8 billion by 2021
2. One camera is all you need to get some benefit. If you need a robot to sort items, let's say cookies, one camera in a fixed position can view the cookies as they come out of an oven on a conveyor belt and sort the different kinds into bins.
3. Machine vision does quality control! Robots can also learn how to tell shapes from shadows and look for defects based on an image of how an object is supposed to look. This shape from shading process can evaluate as a fast as two parts per second in some cases.
5. Robots can be used to determine the position of objects using stereo vision. In other systems, time-of-flight sensors can scan objects to make 3D models for multiple purposes. One was able to read the black codes of raised rubber on black tires this way.
For more on machine learning and artificial intelligence, check out these articles from TechRepublic:
- Delta testing facial recognition for self-service bag check-in at Minneapolis airport
- Google looks to machine learning to boost security in Gmail
- Experts say there's a 50% chance AI will outperform humans in every job in 45 years
- Why AI will force businesses to rethink balance between the work of humans and machines
- Microsoft Cognitive Services: Leading the AI charge
Tom is an award-winning independent tech podcaster and host of regular tech news and information shows. Tom hosts Sword and Laser, a science fiction and fantasy podcast, and book club with Veronica Belmont. He also hosts Daily Tech News Show, covering the most important tech issues of the day with the smartest minds in technology.