Knowledge Zone | Vision Systems Design

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Machine vision and transparent objects

Can machine vision inspect transparent or translucent objects?

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Deep learning in machine vision

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Balancing lens resolution with sensor resolution

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Camera interface choices

3D Depth Precision with Helios ToF Camera Featuring Sony DepthSense

3D Depth Precision with Helios ToF Camera Featuring Sony DepthSense

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Frame grabbers

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Lighting and Illumination Choices

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Machine Vision Optics

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Repeaters and Image Extenders

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Machine vision system cameras

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What is machine vision?

3D Depth Precision with Helios ToF Camera Featuring Sony DepthSense

3D Depth Precision with Helios ToF Camera Featuring Sony DepthSense

3D Depth Precision with Helios ToF Camera Featuring Sony DepthSense

3D Depth Precision with Helios ToF Camera Featuring Sony DepthSense

Helios is a high-precision 3D camera featuring Sony’s DepthSense IMX556PLR sensor. It delivers 640x480 depth resolution at a 6m distance using four 850nm VCSEL laser diodes. On-camera processing provides range, intensity and confidence data. Buy now!

GPUs, VPUs, and FPGAs each offer various advantages and trade-offs concerning size, computing power, cost, and ecosystem.

Finding the optimal hardware for deep learning inference in machine vision

Figure 1: In-line illumination is ideal for the inspection of semiconductor wafers and other specular or semi-specular objects.

Understanding unique machine vision illumination methods

In-line, telecentric, and diffuse axial lighting techniques each offer distinct advantages for disparate applications.

Figure 1: The system captures multiple color images and converts them to a 16-bit high dynamic range greyscale image used for processing.

Machine vision system measures paint coating thickness on steel products

Microscope-based vision system features custom imaging software for ensuring proper coating thickness for major steel companies.

Figure 2. Moiré beat patterns from changes in the fringe orientation or spacing indicates tilts or yaw of the part surface and is fixed on the part surface with movement of the part. The edge of a label on a bottle (right) can be seen as lifting off the surface by the brake in the pattern at the top of the label.

Moiré imaging methods enhance 3D image generation in machine vision

Novel 3D technique creates topographic maps to highlight changes in surface slope or curvature.

Figure 1: A 5 MPixel camera with a Theia SY125M lens captured an image of a hexagonal hallway ring.

How lens selection leads to success (or failure) in video surveillance systems

$Figure 1. Shown is an example of diffuse reflection, where the diffuse reflected intensity I is a function of the incident light direction L and the surface normal n; albedo is the fraction of the incident sunlight reflected by the surface.$

Photometric stereo techniques analyze reflections to improve image contrast

Figure 1: Two ML750ST projectors combine with a machine vision camera to create a scanner capable of acting as a 3D structured light system.

How to develop a low-cost 3D scanner using structured light

Figure 1: Typical laser triangulation setups feature a laser line generator at an oblique angle to the object’s depth while the imaging system is directly above the object.

How to handle optical design challenges in 3D imaging

JML Optical Q&A: Designing and manufacturing optics for evolving markets

The following is a Q&A with Wade Cook, VP, Business Development at JML Optical, a Rochester, NY-based optical manufacturing company that offers optical and opto-mechanical design, rapid prototype, glass and metal fabrication, thin-film coating, metrology, environmental testing, and full assembly.

Contrast Q&A: Live HDR video’s role in machine vision and beyond

The following is a Q&A with Nora Tocci, President and CEO of Contrast, an optical design and engineering company focused on creating 'leading-edge, system-level solutions for a variety of partners in commercial, consumer, and military markets.' For the last 12 years, Contrast has developed custom cameras, optical systems, and real-time image processing for clients all over the world.

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Q&A webcast: Non-visible imaging methods, advancements, and benefits

In this Q&A webcast—which is part of our Next Generation Vision Systems Q&A series—David Dechow, Staff Engineer, Intelligent Robotics/Machine Vision, FANUC America Corporation—will answer your questions regarding non-visible imaging, including the techniques and applications listed above in a live question-and-answer style webcast.