Essays about: "defects of computer defect"
Showing result 1 - 5 of 8 essays containing the words defects of computer defect.
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1. Quality Control: Detect Visual Defects on Products Using Image Processing and Deep Learning
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : Computer vision, a prominent subfield of artificial intelligence, has gained widespread util-ization in diverse domains such as surveillance, security, and robotics. This research en-deavors to develop an semi-automated defect detection system serving as a quality controlassurance mechanism for Nolato MediTor, a manufacturing company within the medicaldevice industries engaged in the production of anesthesia breathing bags. READ MORE
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2. Evaluation of Convolutional Neural Networks for Image Quality Classification based on Synthetic Data
University essay from Lunds universitet/Matematik LTHAbstract : In camera production the image quality is of utter importance. Several tests during the production ensure this high quality. In this thesis the possibility of creating a final test, that classifies the image quality with the help of machine learning, specifically convolutional neural networks, was investigated. READ MORE
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3. Implications of different sensor resolutions and contrast settings in a roll-to-roll process, considering the speed of the process vs identifying defects, for manufacturing green batteries : A study on the effect of light conditions on thedetection of defects in cathode foil in batteries
University essay from KTH/MekatronikAbstract : This Master’s thesis work is about the conditions that can affect the identification of defects in lithium-ion batteries. In lithium batteries, there are cathode and anode, which are separated with electrically insulative but ionically conductive electrolytes and separators. READ MORE
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4. Application of Deep-learning Method to Surface Anomaly Detection
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : In traditional industrial manufacturing, due to the limitations of science and technology, manual inspection methods are still used to detect product surface defects. This method is slow and inefficient due to manual limitations and backward technology. READ MORE
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5. Inspecting product quality with computer vision techniques : Comparing traditional image processingmethodswith deep learning methodson small datasets in finding surface defects
University essay fromAbstract : Quality control is an important part of any production line. It can be done manually but is most efficient if automated. Inspecting qualitycan include many different processes but this thesisisfocusedon the visual inspection for cracks and scratches. READ MORE