Machine vision has thrived on the manufacturing floor, and is bringing new levels of insight to medical, security, and transportation applications, thanks in part by adopting technologies perfected for other markets.
The Internet of Things (IoT) describes the growing trend in which a wide range of objects—sensors, switches, video cameras, tools, thermostats, lights, microphones, speakers, etc.—are given unique identifiers and the ability to communicate with each other over a network without requiring human intervention.
If something exists that really has the ability to multitask, then it would be a machine vision system: they inspect, guide machines, control sequences, identify component parts, read codes and deliver valuable data for optimizing production. And this all can be carried out at nearly the same time.
Learn how synchronization is achieved on various standardized camera interfaces.
January 1, 2017
As computer systems and cameras become faster and more powerful, vision systems are finding their way into increasingly diverse applications. So what’s better than one super powerful camera solving the world’s problems?
Due to the detailed nature of automotive transmission manufacturing and the high cost of errors, vision inspection systems have become the key to ensuring high levels of quality and minimizing warranty costs.
The cell phone industry has been the single largest driver of new CMOS image sensor technology for the past ten years—smaller pixels, higher sensitivity, and lower noise—all in a bid to decrease sensor cost and capture ever higher quality still and video imagery for human consumption.
Practical implementation of a successful vision guided robotics (VGR) application requires an understanding of general architecture and design, lighting and imaging, 2D and 3D technologies, robots and calibration.