Tonia Barlowe

Consider a practical scenario: a bottling line inspecting for cap seal integrity. A rule-based system might flag only gaps exceeding a fixed pixel width, missing partial seals that are visually subtle but functionally critical. A convolutional network trained on 5,000 labeled images-2,500 good seals and 2,500 defective ones across various lighting angles-can learn textural and […]