vincenthwt

6 ms·

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by vincenthwt 2mo ago
I have a similar idea, just on a smaller scale. Rather than searching for cheap Malaysian street food via Google Maps reviews, I built MakanIndex.com to track the 'disappointment rate'."
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by vincenthwt 10mo ago
Thank you for your perspective. As a machine vision engineer in the semiconductor industry, I have seen a lot of hype around deep learning and AI for vision applications. From my experience, deep learning works well for OCR but less so for
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by vincenthwt 10mo ago
Yes, that's correct about OCR. I work as a machine vision engineer in the semiconductor industry, where each wafer usually has both OCR text and machine-readable codes such as barcodes, QR codes, or data matrix codes. The OCR typically
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by vincenthwt 10mo ago
Background Context: I am a machine vision engineer working with the Halcon vision library and HDevelop to write Halcon code. Below is an example of a program I wrote using Halcon: * Generate a tuple from 1 to 1000 and name it 'Sequence
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by vincenthwt 10mo ago
Your latest response still does not provide any concrete data or evidence to support your claims about space exploration being a waste, self-sufficient colonies being impossible, or AI and synthetic biology being more promising alternatives
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by vincenthwt 11mo ago
I agree, Deep Learning OCR often outperforms traditional methods. But as engineers, it’s essential to understand and maintain the systems we build. If everything is a black box, how can we control it? Without understanding, we risk becoming
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by vincenthwt 11mo ago
Ah, I think you work in the same industry as me, machine vision. I completely agree with you, most applications use grayscale images unless it’s color-based application. Which vision library are you using? I’m using Halcon by MVTec.
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by vincenthwt 11mo ago
You're absolutely right, deep learning OCR often delivers better results for complex tasks like handwriting or noisy text. It uses advanced models like CNNs or CRNNs to learn patterns from large datasets, making it highly versatile in
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by vincenthwt 11mo ago
It really depends on the application. If the illumination is consistent, such as in many machine vision tasks, traditional thresholding is often the better choice. It’s straightforward, debuggable, and produces consistent, predictable resul
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by vincenthwt 11mo ago
Thank you for sharing this. The part about Warren Buffett and the contrast with hustle culture is particularly delightful. It highlights the importance of competence and meaningful leadership over performative busyness.
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by vincenthwt 11mo ago
Reasonable Cost 1. You didn’t address my main argument: reallocating 5% of the U.S. defense budget to NASA could double its budget without raising taxes. Instead, you reframed it as additional taxation. My point is about redistributing curr
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by vincenthwt 11mo ago
Crossing oceans and building planes were not always seen as clearly useful by everyone. Skeptics at the time dismissed them as dangerous, impractical, or unnecessary, yet those who pursued these goals unlocked advancements that transformed
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by vincenthwt 11mo ago
1. What is a "reasonable cost," and who decides? Reasonable cost is subjective, but NASA’s budget provides perspective. At 0.4 percent of the US federal budget, it amounts to just 27 billion dollars in 2023, while the defense budg
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by vincenthwt 11mo ago
"Yes, but why?" If humans had never ventured beyond perceived limits, like crossing oceans or building planes, where would we be today? "We’re light-years away from being interplanetary; it’s too costly and our energy is laug
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by vincenthwt 11mo ago
Hopefully, your view is in the minority. If this mindset becomes prevalent in the US, nothing new will ever be invented, and no new regions of space will be explored. Modern moon exploration isn’t about repeating Apollo but progressing towa
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by vincenthwt 11mo ago
I love lookup tables. Thanks for sharing!
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by vincenthwt 1y ago
That’s a great question. While NNs are revolutionary, they’re just one tool. In industrial Machine Vision, tasks like measurement, counting, code reading, and pattern matching often don’t need NNs. In fact, illumination and hardware setup a
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by vincenthwt 1y ago
You claim that 'most people' will be upset—are you their appointed spokesperson, or is this just your personal assumption? What I find strange is that I complimented and thanked you for your thoughts on machine vision, yet you res
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by vincenthwt 1y ago
Are you talking about the high wages of software engineers or management? Makes sense to me— the glory days of high management and CEO salaries are over.
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by vincenthwt 1y ago
Your clever remark highlights poor emotional intelligence and weak communication skills. Sarcasm might have its place in casual conversation, but in professional discussions, it signals insecurity and a lack of respect—neither of which cont
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by vincenthwt 1y ago
Thank you for your thoughtful comment! I completely agree. It’s great to see someone emphasize the importance of mastering the fundamentals—like calibration, optics, and lighting—rather than just chasing trendy topics like LLM or deep learn
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by vincenthwt 1y ago
Here are two examples where the right camera, optics, and lighting make a huge difference: Semiconductor Wafer Inspection: Detecting tiny defects like scratches or edge chips requires high-resolution cameras, precision optics, and specific
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by vincenthwt 1y ago
Can anyone recommend a good book on Machine Vision? I believe the foundation of effective machine vision, and even computer vision, lies in selecting the right camera, optics, and lighting. High-quality images are essential because poor inp
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by vincenthwt 1y ago
It's quite simple. What is the country of origin of the current Microsoft CEO and the founder of the bankrupted company?
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by vincenthwt 1y ago
In other words, software engineers need to "sell" the value of their work.
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by vincenthwt 1y ago
You're right, modern design often favors neutral bases with pops of color. However, if everyone followed that same "modern taste," everything would look alike. Just as the technicolor era had its appeal, so do bold color pale
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by vincenthwt 1y ago
I hear you, and I agree that coding is still core to being a software engineer. However, with tools like GitHub Copilot already automating parts of coding, it’s clear that the role of software engineers is evolving. While coding remains imp
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by vincenthwt 1y ago
I worked as a Technical Sales Engineer and have been a Software Engineer for three years. I’ve realized many technical professionals overlook the importance of selling and writing. With LLMs advancing and may take over coding tasks, softwar
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by vincenthwt 1y ago
Much earlier. Ever since Google, I’ve been 'vibe' coding—just a different buzzword, I guess.
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by vincenthwt 1y ago
For clean, classical edges in standard images, classical algorithms(Canny, Sobel) are hard to beat in terms of accuracy, efficiency, and clarity. For domain-specific edges (e.g., medical images, low-light, or noisy industrial setups), a sma

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