Essays about: "deviation detection problem"

Showing result 1 - 5 of 13 essays containing the words deviation detection problem.

1. 1. Few-Shot Learning for Quality Inspection

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Jesper Palmér; Ahmad Alsalehy; [2023]
   Keywords : Few-Shot Learning; AI; Transformers; ViT Deviation; Vision Transformers;

   Abstract : The goal of this project is to find a suitable Few-Shot Learning (FSL) model that can be used in a fault detection system for use in an industrial setting. A dataset of Printed Circuit Board (PCB) images has been created to train different FSL models. READ MORE

3. 2. Machine Vision Based Quality Control and Fault Detection in a Textile Dyeing Machine

   University essay from Lunds universitet/Industriell elektroteknik och automation

   Author : Evelina Morgan; Valter Möller; [2023]
   Keywords : Technology and Engineering;

   Abstract : Fault detection systems come in a variety of formats and are used in many different types of machines and industries. They can be used to perform fast and accurate detection, classification and analysis. The need for user interaction can be decreased and by that the general level of automation can be increased. READ MORE

4. 3. Implementation of Bolt Detection and Visual-Inertial Localization Algorithm for Tightening Tool on SoC FPGA

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Muhammad Ihsan Al Hafiz; [2023]
   Keywords : Bolt detection; Visual-Inertial localization; System-on-Chip SoC ; Field-Programmable Gate Array FPGA ; Machine learning; Perspective-n-Points; Error-State Extended Kalman Filter ESEKF ; High-Level Synthesis HLS ; YOLO; Tightening tool; Bultdetektering; visuell-tröghetslokalisering; System-on-Chip SoC ; Field-Programmable Gate Array FPGA ; Machine Learning; Perspective-n-Points; Error-State Extended Kalman Filter ESEKF ; High-Level Synthesis HLS ; YOLO; åtdragningsverktyg;

   Abstract : With the emergence of Industry 4.0, there is a pronounced emphasis on the necessity for enhanced flexibility in assembly processes. In the domain of bolt-tightening, this transition is evident. Tools are now required to navigate a variety of bolts and unpredictable tightening methodologies. READ MORE

5. 4. Predictive Maintenance in Smart Agriculture Using Machine Learning : A Novel Algorithm for Drift Fault Detection in Hydroponic Sensors

   University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

   Author : Ayad Shaif; [2021]
   Keywords : Predictive Maintenance; Internet of Things; Machine Learning; RNN; Forecasting; Classification; LSTM; CNN-LSTM; GRU; Sensor Drift Fault;

   Abstract : The success of Internet of Things solutions allowed the establishment of new applications such as smart hydroponic agriculture. One typical problem in such an application is the rapid degradation of the deployed sensors. READ MORE

6. 5. Representation Learning For Deviation Detection In District Heating

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Jakob Lindskog; Joakim Fredriksson; [2021]
   Keywords : ;

   Abstract : Companies with a lot of industry-grade systems have large incitements for planning and predicting maintenance on their systems. Maintenance is an important field with established routines working in stages: Corrective, Preventive and Predictive. READ MORE