This project demonstrates instance segmentation using Mask R-CNN with the OpenCV DNN module. The model is pre-trained on the COCO dataset and can detect and segment multiple object classes in images.
Deep Learning and Computer Vision Techniques for Enhanced Quality Control in Manufacturing Processes
Abstract: Ensuring product quality and integrity is paramount in the rapidly evolving landscape of industrial manufacturing. Although effective to a certain degree, traditional quality control methods ...
Crafting clear mission and vision statements is critical to shaping company identity, motivating employees and guiding decision-making. A mission statement defines the current scope and purpose of the ...
👁️ Eye-controlled virtual keyboard using computer vision and facial landmark detection. Features dual keyboard layouts, blink detection for character selection, gaze tracking, audio feedback, and ...
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