Why this use case matters
Deep learning, specifically computer vision and natural language processing, can be designed to identify defects during quality checks. These deep learning models can verify that products aren’t defective and labels/packaging present, correct, straight, and readable, saving huge amounts of repetitive work for increased process accuracy.
Natural Language Processing, Computer Vision, Classification
Single-Shot Detection, YOLO, Mask-R CNN, Res-Net50, RanSaC, Filtering, Auto-Encoders, GPT-3, Transformers (RNNs), BERT, ERNIE, Word2vec
Automating & improving human-based quality checks at scale.