Embedded vision capabilities are giving industries the opportunity to automate critical processes and drive up efficiencies.
FREMONT, CA: Half the problems in industrial operations can be solved if machines acquire cognitive capabilities. With advancements in technology, industries are actually headed that way. Driven by artificial intelligence and machine learning, the machines used by modern industries are attaining new levels of functionality. Every industry is trying to automate processes and scale up to become efficient, intelligent, self-driven entities. For successful automation, machine vision is one of the major prerequisites. The best way to enable machine vision is through embedded vision systems. Some areas where embedded technology can drive vision-backed industrial automation are discussed here.
Automation of Assembly Lines
The image capturing hardware and vision processing software with embedded technology at the core can enable automation of assembly lines on factory floors. Once the vision processing has been achieved, the data can be used to make mechanized components perform the required tasks. Thus, pre-defined algorithms are not required to run assembly lines. Rather, embedded vision systems allow precise and intelligent automation resulting in improved efficiency.
Integrated Product and Inventory Tracking
With improving embedded technology, the functionalities of sensors are progressing. This is true in the case of embedded vision technology as well. Optimized sensors are now able to carry out accurate image sensing, enabling integrated product and inventory tracking. High-resolution cameras and real-time analytics capabilities work together to result in automated inventory management systems.
Machine Vision-based Quality Control
Automation of inspection systems that assess product quality during and after production can be achieved with the help of embedded vision. Embedded vision is an enabler in automating inspection systems that carry out quality assessments of products during and after manufacturing. Assessments based on vision are accurate and efficient in determining anomalies in product features and design.
There have been significant advancements in embedded systems that have resulted in systems with sophisticated abilities. Leveraging embedded vision gives industrial automation a big boost.