Essays about: "Objektigenkänning"
Showing result 11 - 15 of 31 essays containing the word Objektigenkänning.
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11. Detecting Defective Rail Joints on the Swiss Railways with Inception ResNet V2 : Simplifying Predictive Maintenance of Railway Infrastructure
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Manual investigation of railway infrastructure is a labor-intensive and time-consuming task, and automating it has become a high priority for railway operators to reduce unexpected infrastructure expenditure. In this thesis, we propose a new image classification approach for classifying defect and non-defective rail joints in image data, based on previous fault detection algorithms using object detection. READ MORE
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12. Road Damage Segmentation for Mobile Hardware
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The detection and early repair of road damage are paramount for the quality and safety of roads. Current detection efforts typically rely on Deep Learning methods for object detection with bounding boxes, with calculations performed on high-performance hardware. READ MORE
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13. Monocular depth estimation for level assessment in an industrial waste management environment : A thesis within smart waste management
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : With the transition to Industry 4.0, actors in many industries face challenges such as how to successfully implement technical solutions and retain competitiv eadvantages. In the smart waste management sector, many solutions have been presented in how to create effecient sensors but a practical way of comparing these solutions is non-existent. READ MORE
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14. Localization of fractures in drill cores using Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Investigating and assessing rock structures requires extensive manual work, where geologists measure the fractures in drill cores to get a better understanding of the condition of the underlying rock. This study investigates the possibility to use Deep Learning for localizing fractures in images of drill cores, automating and facilitating the work of geologists. READ MORE
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15. Cross-layer optimization for joint visual-inertial localization and object detection on resource-constrained devices
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The expectations in performing high-performance cyber-physical applications in resource-constrained devices are continuously increasing. The available hardware is still a main limitation in this context, both in terms of computation capability and energy limits. READ MORE
