The research team, led by Department of Civil, Structural and Environmental Engineering assistant professor, Negar Elhami-Khorasani and assistant professor Thomas Gernay from Johns Hopkins University ...

In the ever-evolving manufacturing landscape, a remarkable transformation has occurred over the past few decades, with a substantial decrease in injuries and illnesses. According to the Indiana Safety ...

Machine vision refers to a computer being able to see. Often, the computers use different cameras for video, Analog-to-Digital Conversion), and DSP (Digital Signal Processing) to see. After this, the ...

Traditional technology companies and startups are racing to combine machine vision with AI/ML, enabling it to “see” far more than just pixel data from sensors, and opening up new opportunities across ...

As machine vision systems improve via advances in chip technologies, easier to use software, and lower cost, IoT Analytics (a provider of market insights and business intelligence) took a look three ...

Machine vision systems are becoming increasingly common across multiple industries. Manufacturers use them to streamline quality control, self-driving vehicles implement them to navigate, and robots ...

The differences between MIPI CSI-2 v3.0 and v4.0. How the new features in CSI-2 v4.0 lower cost barriers for next-generation systems. How to shape ongoing innovation of the CSI-2 specification. MIPI ...

Advanced LED lighting arrays can spectrally tune their output wavelength to highlight different features and defects in captured images. The capability enables a single light fixture to quickly adapt ...

Where COTS is used in machine-vision applications. Why open-source software (OSS) is making an impact on machine-vision systems. Machine-vision systems are foundational in providing the “easy button” ...

What are some of the key considerations when designing a vision system? What are the questions prospective customers should ask when appraising whether a vision application is feasible, or whether it ...