Change is the only constant--an ancient truth with  manifestation in the current global supply chains, manufacturing industries, and hence also in machine vision. The era of (two-digit) growth rates took a breather, at least in the western hemisphere. Which industry sectors and regions offer attractive business opportunities? And what key innovation trends are set to increase growth and competitiveness for components OEMs, systems integrators, and machine builders? Müller will shed light on these strategic questions for 2024 and beyond. 

Whether in manufacturing, logistics, or beyond, businesses around the globe today must find ways to keep pace with customer demands. Industrial automation technologies play an increasingly important role in helping companies meet these goals, but as needs evolve and expand, the pressure of speeding up processes is on. Speeding up production lines, however, requires more than just faster cameras, it requires innovations in machine vision lighting, which is necessary to acquire high-quality images. This presentation highlights the fundamental role that lighting plays in machine vision system while looking at some of today’s challenging high-speed machine vision applications today, including packaging inspection, and food and beverage inspection, and how lighting designs have adapted to help bring these high-speed applications to life. 

Machine Vision systems provide an effective and efficient quality inspection method for many standard applications - including barcode scanning to parts counting, surface inspection, dimensional measurements, and optical character recognition. But some visual inspection needs cannot be readily met by standard machine vision solutions. “Harder-than-average” vision problems can include:
•    Applications that require high-resolution, high-sensitivity imaging
•    Applications that require precise color measurement of more than a single spot
•    Applications that require multi-factor image analysis and decision making

In this talk, Dr. Kostal will explain how the capabilities of photometric and colorimetric imaging systems can be used to solve these hard visual inspection problems. Photometric imaging systems provide the advantage of matching human visual perception of light and color—assessing product parameters just as the end customer will experience them – with high resolution and sensitivity. Using “Advanced Vision” solutions, manufacturers can:
•    Detect and quantify subtle, hard-to-see visual artifacts and determine if they are indeed defects
•    Inspect a part or area and detect small color (e.g., L*a*b*) deviations across the scene being imaged or versus a predefined reference
•    Combine a multiplicity of measurements and tests to better assess pass/fail conditions or process variations
 

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Industrial applications such as fruit inspection and sorting, packaging, IR microscopy, semiconductor inspection, and material sorting can greatly benefit from short-wave infrared (SWIR) imaging. In this presentation, we will cover the advancements of Sony’s SenSWIR technology paired with LUCID's Atlas and Triton SWIR Factory Tough™ cameras, capable of capturing images across both visible and invisible light spectrums, and boasting a miniaturized pixel size of 5μm and 3.45 μm. In addition, we will address the latest Atlas10 camera equipped with the high UV sensitivity 8.1 MP Sony IMX487 CMOS sensor, capable of capturing images across the ultraviolet light spectrum in the 200 to 400nm range.    

Emergent has been recognized with awards as the company who has brought 10GigE, 25Gige, and 100GigE cameras to the Machine Vision Market. At the same time, Emergent has enabled the use of such cameras with our highest performance software. GPUs and other processing technologies are being used now for AI and Machine Learning applications in addition to traditional Machine Vision applications. Emergent has developed cutting edge technologies to enable the use of our performance cameras in such AI and Machine Learning applications.

How is AI making vision-guided robotics more useful for manufacturers? Recent innovations in AI training and simulation environments give automation engineers tools to test and iterate robotic cells before deployment. Afrooze will talk about these innovations and what they mean for current and future manufacturing.