Abstract: The requirement of trustable and precise defect detection in Printed Circuit Boards (PCBs) remains a challenge in the industrial setting. Often certain microscopic anomalies that are ...
Variation is becoming a bigger problem in multi-die assemblies with TSVs and hybrid bonding. Multi-modal approaches are required to test these devices. AI plays a role in improving defect capture rate ...
WILMINGTON, N.C. (WECT) - February is Heart Health Month and next week begins Congenital Heart Defect Awareness Month. Dr. Lance Lewis, a cardiologist with Novant Health, was in the studio to discuss ...
The dataset is already organized in YOLO format in the steel_dataset/ directory. If you need to reorganize from original format, see utility/reorganize_dataset.py. steel-defect-detection/ ├── ...
PCB(Printed Circuit Board) 제조 공정에서 발생하는 다양한 결함을 자동으로 검출하는 딥러닝 기반 객체 인식 시스템입니다. PCB/ ├── dataset/ # 데이터셋 │ ├── roboflow/ # Primary dataset (Roboflow format ...
Doctors in the Raquel and Jaime Gilinski Department of Obstetrics, Gynecology and Reproductive Science at Mount Sinai have become the first in New York City to implement an artificial intelligence (AI ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results