Vision Spectra Preview - Summer 2022

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Here is your first look at the editorial content for the upcoming Summer issue of Vision Spectra.

Emerging Role of Image Sensor Sockets in Vision System Design

With the growing proliferation of relatively expensive high resolution, high speed, and 3D image sensors, more and more image sensor users are protecting their investment by including sockets in their overall design strategy. The use of sockets negates:

1) device damage from exposure to high temp solder, ESD, and cleaning solutions

2) solder joint cracking and associated intermittency

3) the labor and PC board damage associated with de-soldering a faulty device

4) holding up imager board assembly until the image sensors arrive (a growing concern in light of the significant increase in image sensor lead times)

5) image sensor performance degradation due to excessive heat and noise. In addition, sockets enable the surface mounting of through-hole devices, as well as the seamless swapping of one hyperspectral sensor for another.

Key Technologies: Image sensors, cameras

SWIR/Hyperspectral Imaging/IR for Food & Beverage Inspection

Food and beverage inspection has been a long-time application for machine vision. As the industry evolves, so too have the different vision technologies that are used for inspection. From simple line scan inspection for sorting to more sophisticated infrared technologies like SWIR and hyperspectral imaging, this article will review the vision technologies available and when each should be considered. It will also review food and beverage inspection application requirements and how they are changing. The article will cover various imaging technologies, from color line scan, IR/SWIR, 3D, and SWIR hyperspectral, comparing and contrasting the technologies and offering specific application examples.

Key Technologies: SWIR/IR, 3D imaging, SWIR hyperspectral

X-Ray/NIR Spectroscopy for Food & Beverage Inspection

Today's consumers have higher and higher expectations for the quality of the food they consume. Fortunately, many non-destructive solutions using light are available today, which could provide a decent amount of information to ensure food quality. These solutions or techniques include imaging, spectroscopy, and even hyperspectral imaging. Finding the right technology to use can be challenging, but this article will provide basic knowledge about each technique and help clarify some common questions including where and when hyperspectral and SWIR hyperspectral imaging, along with SWIR. Applications include grading meat, identifying objects, assessing moisture content, and x-ray imaging for inspection.

Key Technologies: Imaging, spectroscopy, hyperspectral, TDI, TDI x-ray InGAS sensors, soft x-ray; short-wave IR, hyperspectral imaging, SWIR hyperspectral

Adopting Best Practices for Automated Inspection and Quality Assurance

One of the most fundamental value propositions for machine vision can be seen in the ubiquitous implementation of automated inspection applications over a wide range of industrial use cases including electronics, medical devices, food & beverage, packaging, and many more. Yet challenges in execution still exist, and demand is high for solutions that provide the highest levels of reliability with the lowest possible complexity, cost, and engineering effort. This conference session will discuss implementation best practices that can help ensure that the latest machine vision technologies (high-resolution, 2D and 3D, color and spectral, non-visible imaging, and more) will deliver the performance expected and required in today’s production environments. The discussion will present specific use case examples and integration techniques (including component selection and implementation) that will benefit your next machine vision inspection applications.

Key Technologies: 2D and 3D imaging, color and spectral, non-visible imaging, high resolution. Various components.

Bank Note Inspection

According to data from the European Central Bank, around 558,000 thousand counterfeit euro banknotes were detected and withdrawn in the second half of 2019. Though this represents only a fractional percentage of the total number of banknotes in circulation, counterfeit notes drive down the value of the legitimate currency and contribute to inflation. On a materials level, bank notes incorporate preventative security features, such as raised ink and watermarks. RGB imaging, in both line- and area-scan cameras, can also be deployed to detect many additional abnormalities; when looking at the bank note against the light, watermarks and portrait windows become visible and special light effects on the bank note are revealed when the note is tilted, and RGB imaging can adequately gauge color, size, printing quality, and labelling. Further, more sophisticated features such as micro printing, standard, and special UV and IR properties can be checked using special devices. Automated visual inspection methods can verify most relevant features. Common RGB cameras however will not allow for inspection of additional security properties in the UV and near-IR region. Because these multiple security features must be verified along with other quality features of the note at the production site, hundreds of automatic and manual monitoring actions are currently needed to assure the correctness and quality of bank a note and its security features. Multispectral imagers capture information of multiple, discretely positioned spectral bands, including bands beyond the visible range. Embedded in automated visual inspection systems, multispectral imagers allow verification processes to take place without disrupting production. A single setup can validate and verify visible quality and security features such as shape, color, and labelling, as well as non-visible features such as the NIR properties of a note. Using a single device for quality inspection makes the setup more effective, robust, and cost-efficient.

Key Technologies: UV, near IR imaging, RGB cameras, NIR

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Published: March 2022

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