#Vision Sensor

[myahyeahey]

Uzumaki - Junji Ito

[sealbee101]

yomi’s request

[acsisz]

DECAPOLICE NEW TRAILER RANT & SPECULATION

Aight:

1. Graphic update. Massive one. 2026? Worth it.

2. The yellow haired girls looks positively EXPENSIVE I love it?? She's a Venus!

3. Misae & yellow girl prolly got changed story tho as usual from master start again LEVEL5.

4. Harvard fricking Marks.

5. Carl teddy what's with that lighting?? Is he gonna be good bad betray? Dude I love him?? Does he know more cause his family's rich and powerful??

6. Song omg song is SO GOOD. ☝🏻 is best part in the video & song.

7. The kid at the ending don't look like Harvard nu-uh. His twin? What's going on in Harvard's family? Is Harvard real?

8. The end voice line is probably Clown.

9. Game actually looks really SUSPENSEFUL. 16+ ain't a dream, waiting for 18+ now. Can they do it?

10. Imma be honest, Harvard could end up with yellow girl, Misae, Mani Idc. Just give Carl to me, Level5. GIVE CARL TO ME.

[adafruit]

PCB of the Day! The VCNL4200 has long-ranging vision 🔍🤖🛠️

The VCNL4200 proximity sensor https://www.digikey.com/en/products/detail/vishay-semiconductor-opto-division/VCNL4200/7394601 , which we found on last weeks The Great Search ---

can detect motion up to 1.5 meters away, and has an I2C interface that makes it an excellent match for a Stemma QT board prototype. Which is what we've got here! Note the IR LED requires an external P FET to drive it!

[sw5w]

Maul's Electrobinoculars

STAR WARS EPISODE I: The Phantom Menace 00:51:38

I believe that the lights in the distance of this shot are Mos Entha, as opposed to Mos Espa. Maul first turns around (next shot), then pans to left (west) which according to the map in Complete Locations (pg 28) would indicate that he first views Mos Entha in the east.

Map showing Mos Entha to the east, across Xelric Draw from Maul’s landing site. When he pans to the left he would be facing Mos Espa. It would also mean he landed facing the east, then turned north to view Mos Espa. (Map from Complete Locations)

[wyrmzone]

Recommended reading:

this sucks so bad i need to (remembers suicide jokes are unhealthy) spread the skulk

[jamesmitchia]

Transforming Transportation: The Power of AI in Automobiles

The automotive industry is shifting gears—and Artificial Intelligence is in the driver’s seat.

From how vehicles are built to how they’re driven, sold, and maintained—AI is reshaping every layer of the automotive value chain.

🔍 𝐇𝐞𝐫𝐞’𝐬 𝐡𝐨𝐰 𝐀𝐈 𝐢𝐬 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐭𝐡𝐞 𝐚𝐮𝐭𝐨 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲:

✅ 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐃𝐫𝐢𝐯𝐞𝐫-𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐜𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 (𝐀𝐃𝐀𝐒) AI powers lane detection, collision warnings, adaptive cruise control, and real-time obstacle recognition—enhancing safety and comfort.

✅ 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐕𝐞𝐡𝐢𝐜𝐥𝐞𝐬 Self-driving cars rely on AI to process sensor data, predict human behavior, and make split-second driving decisions—bringing us closer to full autonomy.

✅ 𝐈𝐧-𝐕𝐞𝐡𝐢𝐜𝐥𝐞 𝐈𝐧𝐭𝐞𝐫𝐟𝐚𝐜𝐞𝐬 & 𝐕𝐨𝐢𝐜𝐞 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭𝐬 AI enhances infotainment systems—offering personalized music, real-time navigation, and hands-free control through natural language understanding.

✅ 𝐒𝐦𝐚𝐫𝐭 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 & 𝐐𝐂 AI-driven robotics and vision systems streamline production lines, optimize resource use, and ensure near-perfect quality assurance.

✅ 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞 AI analyzes sensor data to predict part failures—minimizing downtime, increasing vehicle lifespan, and improving user satisfaction.

✅ 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐞𝐝 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 & 𝐒𝐚𝐥𝐞𝐬 AI tools personalize customer journeys, optimize vehicle recommendations, and offer intelligent, interactive retail experiences.

💡 𝐓𝐡𝐞 𝐛𝐢𝐠 𝐩𝐢𝐜𝐭𝐮𝐫𝐞? AI is steering the auto industry toward a safer, cleaner, and more connected future.

We’re not just driving smarter vehicles—we’re building intelligent mobility ecosystems where cars learn, adapt, and communicate.

📩 𝐄𝐱𝐩𝐥𝐨𝐫𝐢𝐧𝐠 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐚𝐮𝐭𝐨 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬? 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭. From OEMs to mobility startups, we help partners unlock value with practical AI applications.

🔗 𝐑𝐞𝐚𝐝 𝐌𝐨𝐫𝐞: https://technologyaiinsights.com/

📣 𝐀𝐛𝐨𝐮𝐭 𝐀𝐈 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 (𝐀𝐈𝐓𝐢𝐧): AITin is a global platform uniting thought leaders, engineers, and innovators to share cutting-edge insights into AI across industries—mobility included.

📍 Address: 1846 E Innovation Park DR, Ste 100, Oro Valley, AZ 85755 📧 Email: sales@intentamplify.com 📲 Call: +1 (520) 350-7212

[jhnneelam]

Vision Sensor Market Future Scope, Opportunities with Strategic Growth

Research Nester published a report titled “Vision Sensor Market: Global Demand Analysis & Opportunity Outlook 2037” which delivers a detailed overview of the global vision sensor marketin terms of market segmentation by type of sensor, application, end-user, and by region.

Further, for the in-depth analysis, the report encompasses the industry growth indicators, restraints, and supply and demand risk, along with a detailed discussion of current and future market trends that are associated with the growth of the market.

The global vision sensor market is projected to grow at a CAGR of ~12.3% by attaining robust revenue during the forecast period, i.e., 2025 – 2037. Factors such as, higher demand for 3D printing materials are anticipated to propel the growth of the market during the forecast period. It is observed that the 3D printing material segment is estimated to reach nearly USD 4 billion by the year 2026. Additionally, growing adoption of robots in various industries is further estimated to propel the market growth over the forecast period. The annual rate of manufacturing and distribution of robots was projected to be about 380,000 robots.

Request Report Sample@ https://www.researchnester.com/sample-request-3163

Additionally, by end-user, the global vision sensor market is segmented into electronics, automotive, pharmaceuticals, food packaging. Out of these sub-segments, the pharmaceuticals segment is estimated to obtain the largest share in the market during the forecast period. The growth of the segment can be accounted to spiking spending on research and development activities of medicines. As of 2021, the entire spending on medicine is projected to be about USD 570 billion.

Furthermore, the global vision sensor market, by region, is bifurcated into North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa region. Out of these regions, the market in the North America region is estimated to grow at rapid pace over the forecast period on the back of increasing disposable income in the region. As of 2021, the disposable income of Singapore reached approximately USD 30,000 per capita. 

The research is global in nature and covers a detailed analysis of the market in North America (U.S., Canada), Europe (U.K., Germany, France, Italy, Spain, Hungary, Belgium, Netherlands & Luxembourg, NORDIC [Finland, Sweden, Norway, Denmark], Poland, Turkey, Russia, Rest of Europe), Latin America (Brazil, Mexico, Argentina, Rest of Latin America), Asia-Pacific (China, India, Japan, South Korea, Indonesia, Singapore, Malaysia, Australia, New Zealand, Rest of Asia-Pacific), Middle East and Africa (Israel, GCC [Saudi Arabia, UAE, Bahrain, Kuwait, Qatar, Oman], North Africa, South Africa, Rest of the Middle East and Africa). In addition, analysis comprising market size, Y-O-Y growth & opportunity analysis, market players’ competitive study, investment opportunities, demand for future outlook, etc. have also been covered and displayed in the research report.

Traffic Safety in the Need of Vision Sensors to Foster the Growth of the Market

World Health Organization stated that 1.3 million people die in road traffic accidents every year.

In every nation, traffic safety is emerging as a serious issue that needs to be resolved and new technological innovation are taking place to solve these issues. Vision sensor are used for traffic safety since they can analyze the various aspects of image and can be very important to avoid road traffic accidents. Therefore, such factors are anticipated to propel the growth of the market during the forecast period.

However, the requirement for higher initial investment and the presence of alternatives is expected to operate as a key restraint to the growth of the global vision sensor market over the forecast period.

This report also provides the existing competitive scenario of some of the key players in the global vision sensor market which includes company profiling of Ifm Electronic GmbH, Cognex Corporation, Basler AG, Balluff Automation India Pvt. Ltd., Datalogic S.p.A., Honeywell International Inc., Omron Corporation, Sick AG, Keyence Corporation, and Siemens Aktiengesellschaft. The profiling enfolds key information of the companies which encompasses business overview, products and services, key financials, and recent news and developments. On the whole, the report depicts a detailed overview of the global vision sensor market that will help industry consultants, equipment manufacturers, existing players searching for expansion opportunities, new players searching for possibilities, and other stakeholders to align their market-centric strategies according to the ongoing and expected trends in the future.

Access our detailed report at:

Research Nester is a leading service provider for strategic market research and consulting. We aim to provide unbiased, unparalleled market insights and industry analysis to help industries, conglomerates, and executives to take wise decisions for their future marketing strategy, expansion and investment, etc. We believe every business can expand to its new horizon, provided the right guidance at a right time is available through strategic minds. Our out of box thinking helps our clients to take wise decisions in order to avoid future uncertainties.

Contact for more Info:

AJ Daniel

Email: info@researchnester.com

U.S. Phone: +1 646 586 9123

U.K. Phone: +44 203 608 5919

[andranikfakirian]

Project "ML.Satellite": Image Parser

In order to speed up the "manufacturing" of the training dataset as much as possible, extreme automation is necessary. Hence, the next step was to create a semi-automatic satellite multispectral Image Parser.

Firstly, it should carve the smaller pieces from the big picture and adjust them linearly, providing radiometrical rescaling, since spectrometer produces somewhat distorted results compared to the actual radiance of the Earth's surface. These "pieces" will comprise the dataset. It was proposed to "manufacture" about 400 such "pieces" in a 500 by 500 "pixels" format.

P.S.: Below are example images of the procedure described above. (Novaya Zemlya Archipelago)

Secondly, it should calculate some remote sensing indexes. For this task, a list of empirical indexes was taken: NDVI, NDWI, MNDWI, NDSI, ANDWI (alternatively calculated NDWI), WRI and NDTI. Only several of them were useful for the project purposes.

P.S.2: The following are example images of the indexing procedure.

Lastly, it should compute the "labels" for the "pieces" describing a schematic map of the territory on image splitting this territory into several types according to the calculated indexes. To simplify segmentation, in our project, a territory can consist only of the following types: Clouds, Water (seas, oceans, rivers, lakes…), Vegetation (forests, jungles…), Snow and Land (this class includes everything else). And, of course, Parser should save the processed dataset and labels.

P.S.3: Below are sample image of a colored "piece" and a simple map based on the label assigned to this "piece". Map may seem a drop inaccurate and it's not surprising, since as far as I know, indexes are empirical and by definition cannot be precise. As a result, if it is possible to create a sufficiently accurate model that predicts analytical classification, then it may be possible to create a model that classifies optical images better than analytics.

[jasonsmith8238]

Exploring the Benefits of Momcozy Baby Monitors

The maternal and baby products industry is continuously evolving, and one standout brand is Momcozy. Known for its innovative solutions, Momcozy offers a range of baby monitors that ensure peace of mind for parents.

Momcozy baby monitors are designed with both functionality and safety in mind. They provide high-definition video and audio, allowing parents to keep a close eye on their little ones from any room in the house. The user-friendly interface and long battery life make monitoring effortless, while advanced features like night vision and temperature sensors ensure that parents are always informed about their baby's environment.

Choosing a Momcozy baby monitor means investing in quality and reliability. With their commitment to customer satisfaction and continuous improvement, Momcozy is a trusted name in the industry. Parents can feel confident knowing they have a dedicated partner in caring for their babies.

In summary, Momcozy baby monitors are a fantastic choice for modern parents looking to enhance their parenting experience while ensuring their child's safety and comfort.

[manmishra]

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[sirfrogsworth]

How do you take a photo of time?

I've been watching the track events at the Olympics since I was a wee lad. It was a tradition in our family. We'd gather around our ancient low-definition 19 inch CRT television and watch tiny blobs compete against other tiny blobs and root for our country.

It was a bit like watching YouTube on your phone in 144p.

Several heroes emerged.

Jackie Joyner-Kersee was amazing.

You can't forget about Flo-Jo.

And then the Olympics decided NBA players were allowed in the competition.

Which formed... The Dream Team.

Was this fair?

Well... they won each game by an average of 44 points.

So... no. It was not fair.

Though it became more fair as time went on.

But, umm... yeah. The other teams looked like the Washington Generals and the US looked like the Harlem Globetrotters if they stopped screwing around half of the game.

But my absolute favorite Olympian was a runner named Michael Johnson.

He was cool as heck.

For one thing... gold shoes.

But he also had this crazy, upright, Tom Cruise-ish sprinting style that just made him look like a running robot on the track.

And in the 1996 Atlanta games he just trounced EVERYONE. I mean, it wasn't even close.

Yikes. Those losing blobs are probably really embarrassed.

Last night I decided to invigorate my nostalgia and watch the track events again. And I got to see one of the wildest races in history.

It didn't even last 10 seconds but it was one of the most exciting sporting events I've ever witnessed. Almost every runner won the race.

After I saw that initially, I was like... who the heck won???

Even in slow motion I wasn't sure.

This was one of the closest finishes in history. There has never been a race where all 8 runners were within this margin.

The arena was silent as the winner was being confirmed. The runners just kind of paced around waiting for official word. My best guess was the Jamaican runner, Kishane Thompson. But then the loudspeaker announced Noah Lyles.

The last tiny morsel of American pride burst out of me with a big "Wooooo!"

I forgot what it was like to be proud of my country. I wish it happened more often. But this young man, despite being last place in the first 3rd of the race, turned on the afterburners and won in a photo finish.

And that's when my inner nerd took over.

Because when they showed the photo finish image, it looked super weird.

Why is the track white?

Why do all of the runners look all warpy like that QWOP game?

So I went down a research rabbit hole to figure this out.

Photo finishes are actually fascinating. The first photo finish captured the end of a horse race in 1890. But that was mostly luck and timing. The actual photo finish mechanisms weren't used until 1937.

Originally they would film the finish line through a physical slit.

And the first horsie head that appeared in that slit would be the winner. This technology ended a huge aspect of corruption in horse race fixing almost overnight.

But we have come a long way since then. And I'd like to introduce you to the Omega Scan 'O' Vision Ultimate.

This slow motion camera sits fixed on the finish line of every race. The concept of the photo finish has remained remarkably similar to the 1930s approach. The camera sensor is specially designed to only record a vertical slit.

Only the finish line itself is actually captured.

And because it limits what it records to only that slit, it can capture 40,000 frames per second to get amazing temporal resolution.

So why don't the photo finishes just look like, well... this?

That is because the camera takes a picture of time more-so than dimensional space. I guess it would be more accurate to say it *assembles* a picture of time.

As the runners cross the finish line, the camera combines all of the little strips of pictures into a single image.

It's almost like if you tried to reassemble a piece of paper after it had been shredded.

Imagine each strip of paper is a picture of ONLY the finish line, just at a slightly different point in time.

What if someone stopped on the finish line and didn't move... what would that look like?

Once they got there, the same part of their body would just be repeated.

So the right side of the photo finish picture represents earlier in time and it just assembles the image strip by strip as time passes and you literally get a picture of time itself.

NEAT!

Okay, but how do they determine the winner from the photo finish?

I mean, that shoe looks like it is ahead of Noah Lyles!

Clavicles!

The IAFF rules state the foremost part of the torso must cross the finish line first. And the endpoint of the torso is the outer end of the clavicle.

So if you get this bone across the finish line first, you win the race.

Two more fun facts!

The start of the race is actually just as carefully timed as the end of the race. There are sensors in the starting blocks of each runner.

The starting gun also has an electronic sensor.

They have determined the fastest a human can react to the sound of a gun is roughly 100 milliseconds. So if you start running before 100 milliseconds they know you didn't actually hear the gun, you just got antsy and started running too early.

And the final fun fact...

Did you notice the Omega logo at the top of the photo finish?

That isn't superimposed or added after the fact. That is captured by the camera.

But if this image is composed only of tiny little slivers, how did they get the Omega logo to show up?

That is a little display. And it is synchronized with the Scan 'O' Vision Ultimate to show a little sliver of the Omega logo for each frame captured.

So when the final image is stitched together, it looks like a cohesive logo at the top of the photo.

Pretty clever, Omega!

[aippals]

Energy Power automate in pune | India

An inverter, charge controllers, a battery that stores energy, and solar panels that gather sunlight are the essential components of a solar power system. If these were absent, it would be inaccurate to state that the system is functioning well. Your smart house will be energy-efficient and optimized for usage thanks to energy automation, which links the solar power system to the primary energy operations.

[autobotspvtltd]

Used to monitor parts for types, size, Orientation, shape, location, colour or Colour variations

iVu Series Vision Sensor : Does not require PC for integration and cost effective solution.

Visit us at- https://autobotsltd.com/products/robotics/ lkjjjjjj;nm;,;,lk,ghfhjgkj bnbdhgerhtyj5yu46o7o