我們專注於運用AI革新現有的MicroLED製造流程,包括巨量轉移、檢測和維修。我們相信運用AI演算法,包括機器深度學習、大型語言模型,能協助處理、預測並防範客戶最終MicroLED產品中的缺陷。
我們能依據客戶需求,靈活提供這些AI解決方案。
We focus on using AI to revolutionize current MicroLED manufacturing processes, including the mass transfer, inspection and repair. We use AI models, like convolutional neural networks and large language models to help handle, predict and prevent defects in our customers final products.
We can provide these AI solutions to our customers based on their needs with great flexibility.
To overcome the color and intensity non-uniformity, RVI has been striving on innovating the processes of MicroLED manufacturing.
With XNOW bin mixing technology, we have the ability to:
為克服顏色和亮度不均勻的問題,RVI致力於創新MicroLED製造流程。
透過XNOW混Bin技術,我們具備以下能力:
In MicroLED manufacturing, defects are numerous and discrete, requiring precise alignment with the repair source pattern. This process significantly prolongs repair time, making it cost-ineffective.
RVI leverages machine learning to overcome this challenge. By optimizing the transfer sequence and employing advanced techniques, we have successfully reduced repair time by threefold. This achievement marks an important milestone in enabling the mass production of MicroLED technology.
在MicroLED製造過程中,缺陷數量龐大且分佈離散,必須與修復光源的圖案精確匹配,導致修復時間過長,從而提高了成本。
RVI運用機器學習技術來克服這一難題。通過優化轉移順序及採用更先進的技術,我們成功將修復時間縮短了三倍,這一突破是實現MicroLED大規模生產的重要里程碑。