Adrian Walker, AIZA
During my career as an automotive engineer at Ford Motor Company in the early 2000s, world-class vision system technology was already routinely being used for various applications on programs and production. However, the automation around the analysis had not yet come full circle. Today, it has. And with the latest iterations of smartphones for facial recognition and other functionality, most anyone with a smartphone already has a device using computer vision. Machine and computer vision are also being used in applications such as satellite geo-analytics, food safety and processing, agriculture operations, augmented reality, human emotion analysis, medical diagnostics, robotic guidance, quality control, transportation coordination, utilities, security surveillance, and more. Full Article
For over a decade, manufacturers have turned to automated solutions to improve their bottom line. Automation and machine vision are now being augmented and even replaced by AI. Here is the value of AI-based visual inspection in 2020.
Value of AI-Based visual inspection
Being replaced by AI is especially true when it comes to visual inspection. The use of AI-based visual inspection technology is transforming manufacturing’s ability to improve business operations.
AI-based visual inspection relies on two of AI’s main strengths: computer vision and deep learning. Every AI system is built with the core capacity to perceive its environment (computer vision) and act on those perceptions (deep-learning). Full Article
Embedded Computing Design
2020 has been…well…let’s just say that 2020 is a year that won’t be forgotten. As the pandemic struck the US in early 2020, most companies began locking their office doors and moved to a 100% remote workforce. My company was already mostly remote, so initially I thought things would be pretty much business as usual. After all, we already had remote conferencing, collaboration, and code repository systems in place. Full Article