天天射天天干天天透综合网,国产精品VA在线观看无码,夜夜嗨老熟女av一区,亚洲乱亚洲中文字幕,国产精品资源在线免费观看,91亚洲精品视频在线,欧美 在线 免费 不卡,193在线免费观看黄页网,欧美成人精品色午夜免费观看

SkillReal使用市售小型攝像頭和自研算法，大大加快了人工檢測或設(shè)備檢測的速度。

一家公司稱，他們通過結(jié)合復(fù)雜AI算法，結(jié)合市售攝像頭，開發(fā)出了一款數(shù)字孿生對準(zhǔn)系統(tǒng)。該系統(tǒng)有可能改變汽車行業(yè)，為生產(chǎn)線的缺陷檢測過程節(jié)省高達(dá) 200 億美元。

通常情況下，焊點(diǎn)、螺栓孔等部位的檢測主要通過以下三種方式進(jìn)行：

• 緩慢且錯誤率高的人工檢測；
• 速度更慢的坐標(biāo)測量機(jī)檢測，檢測150個焊點(diǎn)可能需要數(shù)小時(shí)；
• 激光等技術(shù)，非常昂貴，但不能保證完美無缺

以色列公司SkillReal剛剛在大眾沃爾夫斯堡工廠完成技術(shù)驗(yàn)證，最近正式公開亮相。該公司表示，只需使用一個售價(jià)約1000美元的攝像頭和一臺游戲筆記本電腦，其軟件就可以在短短幾秒鐘內(nèi)將零件照片與數(shù)字孿生體進(jìn)行比較，并指出缺陷。

這與一些OEM和供應(yīng)商的傳統(tǒng)做法截然不同，他們通常交給檢測員一支記號筆和一份顯示焊點(diǎn)位置等特征的 PDF文件，然后由檢測員目測比較零件與文件，并標(biāo)記零件缺陷。

A company says that its digital twin alignment system, incorporating a sophisticated AI algorithm and an off-the-shelf camera, has the potential to revolutionize the auto industry, potentially saving it up to a staggering $20 billion in the effort to detect defects on the manufacturing line.

Generally, such inspections of spot welds, bolt holes and the like are handled one of three ways:

• Slow manual inspections that can have high error rates.
• Even slower inspection with coordinate-measuring machines (CMMs) that can take hours to inspect 150 spot welds.
• Tremendously expensive technology, such as lasers, that still aren’t perfect.

SkillReal, an Israeli company that just exited stealth mode after proving its technology at Volkswagen’s Wolfsburg plant, says that using a roughly $1,000 camera and a gaming laptop, its software can compare a photo of a part with a digital twin, highlight problems and be completed in mere seconds.

That’s in contrast with what some OEMs and suppliers do, which is essentially hand an inspector a Sharpie and a PDF showing weld locations and other features. The inspector then visually compares them and marks the part for deficiencies.

Pete Grabowski, SkillReal’s chief operating officer at its North American headquarters in Livonia, Michigan, said the costs of these inspections can really add up because of OEM demands involved in safe launches, in which suppliers are made to pay up to $50,000 a month to third-party companies to ensure parts meet OEM and any regulatory standards. That adds up quickly when a supplier has dozens or hundreds of parts going to multiple vehicle programs.

He said that what sets SkillReal’s system apart is not just detecting features represented in a CAD that have an XYZ coordinate, but how accurate the system is. “We can pinpoint the exact location of those features with submillimeter accuracy. And we do that in seconds.” The system is forgiving, too, able to account for positional variations of the photographed test object. One test of the system that Grabowski called “our John Henry versus the machine” was conducted at a Detroit area stamping and assembly plant. The test pitted SkillReal against the plant’s best marker auditor in a daunting challenge: evaluating welds and other items on the entire underbody of a vehicle involving multiple photos. The plant’s operator finished in 90 minutes. “We were done in less than 10,” Grabowski said.

At the VW plant in Wolfsburg, the results were even more dramatic. Grabowski said VW had two operators working entire eight-hour shifts checking spot welds, while SkillReal’s software covered the same ground in 15 seconds. “They put us through the wringer for two years,” he said. “We want to make sure that these measurements are really sub-millimeter, that you’re really right in saying where they are. So they take parts, measure it with their system, our system, then they put it on a CMM. We got it commercially viable and then launched in the States through our group NorthStar Vision, and now we're adding more features.”

The key to efficiency and cost control for the suppliers and manufacturers, one Skillreal adviser said, is to detect the problem before the next part is built or sub-assembly completed.

The SkillReal software can support up to eight cameras from the same PC running an NVIDIA graphics processing unit. Workers can be trained to use the system in a single eight-hour shift, Grabowski said.

SkillReal’s founder and CEO is Shai Newman. Before Skillreal, Newman founded Compedia, a company that helps publishers transform their content into virtual 3D educational environments. The idea for the 2D-camera inspection technology was born when Siemens approached Compedia in its own search for a system that it hoped would power some kind of augmented reality glasses for the manual line inspectors.

Asked to detail the inner workings of the math, Grabowski said the algorithm does “billions of hardcore computer-vision calculations” that actually break the 2D image up pixel by pixel. “It does the same thing with a 3D model for that perfect overlay,” he said. “And then we layer the AI on top so we can know where to look.” In a nifty compute-saving trick, the system only scans where the components are supposed to be. In other words, there’s no need to waste processor power analyzing locations that don’t include features to inspect.

Grabowski said the company does see more future uses of the technology. “The automotive body in white is our bread and butter for the time being,” he said. “But we see expansion into final assembly of automotive interior trim panels and more. There are so many different avenues that we can use this in automotive alone. No one's doing this type of ultra-fast, sub-millimeter accurate dimensional check.”

He said the company believes its first-mover advantage and series of patents protect it against potential competitors.