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Artificial Intelligence-Based Mold Defect Detection System

https://doi.org/10.2139/ssrn.5886013
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00170-020-06011-4openalex-snapshot
Artificial neural network-based online defect detection system with in-mold temperature and pressure sensors for high precision injection molding
inferredcites →https://doi.org/10.1007/s12008-019-00593-4openalex-snapshot
Shrinkage prediction of injection molded high density polyethylene parts with taguchi/artificial neural network hybrid experimental design
inferredcites →https://doi.org/10.1016/j.cirp.2022.04.022openalex-snapshot
Automated vision-based inspection of mould and part quality in soft tooling injection moulding using imaging and deep learning
inferredcites →https://doi.org/10.1016/j.jmapro.2017.04.027openalex-snapshot
A Soft Tooling process chain employing Additive Manufacturing for injection molding of a 3D component with micro pillars
inferredcites →https://doi.org/10.1016/j.jmapro.2021.08.034openalex-snapshot
Defect detection of injection molding products on small datasets using transfer learning
inferredcites →https://doi.org/10.1080/00222348.2012.700234openalex-snapshot
Evaluation of Effect of Plastic Injection Molding Process Parameters on Shrinkage Based on Neural Network Simulation
inferredcites →https://doi.org/10.1109/cisp.2015.7408005openalex-snapshot
Circuit board defect detection based on image processing
inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot
You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/ddcls.2018.8516094openalex-snapshot
Yarn-dyed Fabric Defect Detection with YOLOV2 Based on Deep Convolution Neural Networks
inferredcites →https://doi.org/10.1109/ic2ie47452.2019.8940842openalex-snapshot
Fire Hotspots Detection System on CCTV Videos Using You Only Look Once (YOLO) Method and Tiny YOLO Model for High Buildings Evacuation
inferredcites →https://doi.org/10.1109/iccia61416.2023.10506371openalex-snapshot
Detection of Defective Products in Injection Molding Process using YOLO-NAS
inferredcites →https://doi.org/10.1109/icctet.2014.6966360openalex-snapshot
Metal surface defect detection using iterative thresholding technique
inferredcites →https://doi.org/10.1109/iccv.2015.169openalex-snapshot
Fast R-CNN
inferredcites →https://doi.org/10.1109/iccv.2017.322openalex-snapshot
Mask R-CNN
inferredcites →https://doi.org/10.1109/icivc.2018.8492908openalex-snapshot
The Defect Detection Algorithm for Tire X-Ray Images Based on Deep Learning
inferredcites →https://doi.org/10.1109/igarss.2019.8898360openalex-snapshot
Large-Scale Oil Palm Tree Detection from High-Resolution Remote Sensing Images Using Faster-RCNN
inferredcites →https://doi.org/10.1109/itme.2019.00176openalex-snapshot
Tomato Diseases Recognition Based on Faster RCNN
inferredcites →https://doi.org/10.1109/tase.2019.2900170openalex-snapshot
Automatic Detection and Classification of Sewer Defects via Hierarchical Deep Learning
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tsm.2017.2777499openalex-snapshot
Transfer-Learning-Based Online Mura Defect Classification
inferredcites →https://doi.org/10.1109/tsm.2018.2795466openalex-snapshot
Wafer Map Defect Pattern Classification and Image Retrieval Using Convolutional Neural Network
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