Vision & Sensors

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A3 President Jeff Burnstein shares insights on the growing automation trend, highlighting advancements in humanoid robots and autonomous mobile technologies aimed at enhancing productivity and safety across industries.

Discover how AI-powered machine vision is revolutionizing manufacturing by streamlining defect detection and enhancing vision-guided robotics, driving efficiency and quality to new heights!

Despite advancements in intelligent automation, human oversight remains crucial in navigating complex warehouse environments. This article highlights the enduring role of humans in the future of robotics, emphasizing a human-centered approach to automation.

The development of machine vision interfaces highlights new technologies, such as PCIe and Thunderbolt, that improve performance and integration across various applications. Additionally, the upcoming GigE Vision 3.0 standard aims to enhance CPU utilization through the use of RDMA technology.

Unlock the potential of smart factories with machine vision, a transformative technology that enhances efficiency and productivity by delivering actionable data in real-time. Explore how it’s revolutionizing manufacturing in the era of Industry 4.0.

Enhance your machine vision systems with optical filters! Discover how colored glass and interference filters can boost contrast and performance while learning their benefits and limitations.

Advancements in Contact Image Sensor (CIS) technology are transforming machine vision. They offer high speed, resolution, and a compact design ideal for tight inspection tasks in battery and PCB production lines. With features like high dynamic range and accurate metrology, CIS enhances quality control and efficiency in modern manufacturing.

Modern vision systems need high-performance wide-angle lenses for applications like autonomous robots and agricultural monitoring. Rectilinear lenses offer straight lines and high resolution without the barrel distortion of fisheye lenses, enabling accurate object detection and real-time performance without the need for post-processing corrections.

The pericentric lens captures a top view and a 360° lateral view of cylindrical objects, needing careful selection to fit the image within the camera sensor. Its 24° angle provides adequate side visibility, reducing the need for dedicated side cameras and lowering costs.

Due to advancements in sensor technology, shortwave infrared (SWIR) imaging is gaining traction in industrial applications. This growth is expected to drive a 28% annual increase in the machine vision market, enhancing food inspection, waste recycling, and agriculture.