Build a Juice Box Quality Inspection System

Using computer vision, a juice box quality inspection system can be developed to detect defects such as missing or malformed straws on juice boxes before distribution, ensuring consumers can use the product effectively. The guide outlines a detailed process to create such a system using Roboflow, starting with the creation of a project and uploading images of both acceptable and defective juice boxes. These images are then labeled and used to train a classification model to identify defects. After training, the model can be deployed using Roboflow Inference to operate in real-time on assembly lines, allowing businesses to automatically identify and handle defective products, thus maintaining product quality. The system exemplifies the application of computer vision in industrial inspection, offering a scalable solution for quality assurance in manufacturing.