Step 1: Organize & Categorize
Gather images of both good and bad quality products and categorize them accordingly. This can involve using existing archived images or installing a camera on the production line to capture real-time images during production.
Step 2: Preprocess Images
Adjust the images through preprocessing techniques to optimize them for analysis by the AI. This may include tasks such as cropping out irrelevant areas to focus only on the pertinent parts needed for analysis.
Step 3: AI Model Creation With just a click of a button
Initiate the creation of the AI model. The AI utilizes a subset of the provided images for training the model and another subset for validating its performance. This streamlined process ensures the swift development and deployment of the AI for product quality analysis, allowing for transparent evaluation of its effectiveness and performance.