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Green Classify 工具

物件與場景分類的深度學習技術

在難以預知和不斷變化的情況下,將物件與場景分類

Green Classify 工具是用於製造業的深度學習解決方案,可區分不同類型的物件、識別缺陷類型,甚至可以檢測圖像。從一系列標籤影像中學習,Green-Classify 可根據產品的色彩、材質、材料、包裝及缺陷類型等常見特徵,加以識別和分類。

Green-Classify Examples
ViDi Green-Classify Tool - Interface

全無複雜、費時的程式設計

ViDi Green Classify 工具可非常迅速地解決複雜的分類工作,全無複雜且費時的程式設計。直覺式 ViDi 視窗可以輕鬆完成設定,並能在工廠現場直接部署工作。

可將外觀上相似但不同的產品分類,同時容許變化。

此強大的圖像分析軟體可容許相同類別內的自然誤差,並能可靠地區分不同類別中可接受的變化。不像大部分深度學習軟體都需要數千個訓練圖像,Green Classify 工具訓練只要十個至數百個圖像,幾分鐘內即可完成。還能直接在工廠現場使用額外的圖像,進一步微調訓練模型,直到可以完美分割類別為止。

ViDi Green-Classify Tool - Examples
High Detail Mode
HDM can accurately classify parts even when differences are subtle and there is a lot of variation, and is very powerful at picking up subtle characteristics.

Choose the best tool mode depending on application needs

The Green Classify tool can be used on two different settings: focused mode or high detail mode. Focused mode is ideal for simpler applications where robust results are needed quickly. High detail mode is a powerhouse classifier for the most challenging and complex applications, which demand maximum accuracy. High detail mode also comes with a visual feedback feature to help further tune the neural network.

Users can change between modes without re-labeling images. Unlike most deep learning-based software, which require thousands of training images, the Green Classify tool trains on tens to hundreds of images in just minutes. Focus mode is good for simple applications that require a smaller set of images, a shorter training period, and run time. High detail mode is good for complex applications that require a relatively larger set of training images. Both modes can be further refined with additional images, directly on the factory floor, until it segments classes perfectly.

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