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FREMONT, CA: Machine vision is one of the important additions to the manufacturing sector. It has provided automated inspection capabilities as part of QC procedures. Nevertheless, the world of automation is becoming more complex with time. Industry 4.0, the Internet of Things (IoT), machine learning, artificial intelligence, cloud computing, and many other technologies present developers and users of vision systems with major challenges in the selection of the ideal system for their respective applications.
Let us look at some of the key use cases of machine vision for the manufacturing industry:
With rapid developments in many different areas, such as imaging techniques, robot interfaces, CMOS sensors, machine and deep learning, embedded vision, data transmission standards, and image processing capabilities, vision technology can benefit the manufacturing industry at multiple different levels. New imaging techniques have brought new application opportunities. For instance, hyperspectral imaging can give information about the chemical composition of the materials being imaged.
The availability of small, embedded processing boards, generally based on ARM architecture, provides huge potential for the development of vision systems embedded into equipment and manufacturing processes. Most of the leading image processing libraries and toolkits can be ported to these platforms, providing a much wider range of vision solutions in this format. Combining these processing abilities with low-cost cameras, including board-level cameras, implies that vision systems could be incorporated into various processes and products with rather small cost overheads.
Industrial robots are already utilized extensively. With the advent of collaborative robots and fast developments in 3D image processing, they are being utilized much more in combination, especially for vision-guided robotics. The vision system finds out the object’s precise location, and these coordinates get transferred to the robot. Massive strides in vision-robot interfaces make this process a lot easier. One of the most popular applications for 3D robotic vision is in pick and place applications.