Essays about: "Bolt detection"

Found 4 essays containing the words Bolt detection.

  1. 1. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms

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

    Author : Serhat Bulun; [2023]
    Keywords : ;

    Abstract : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. READ MORE

  3. 2. 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

  4. 3. Real-time Classification of Multi-sensor Signals with Subtle Disturbances Using Machine Learning : A threaded fastening assembly case study

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

    Author : Theodor Olsson; [2021]
    Keywords : Multivariate time series classification; Residual-based fault detection; Low-pass filter; Support vector machine; Threaded fastening assembly; Multivariat tidserieklassificering; Residual-baserad feldetektering; Lågpass-filter; Stödvektormaskin; Åtdragningsmontering;

    Abstract : Sensor fault detection is an actively researched area and there are a plethora of studies on sensor fault detection in various applications such as nuclear power plants, wireless sensor networks, weather stations and nuclear fusion. However, there does not seem to be any study focusing on detecting sensor faults in the threaded fastening assembly application. READ MORE

  5. 4. Anomaly Detection using LSTM N. Networks and Naive Bayes Classifiers in Multi-Variate Time-Series Data from a Bolt Tightening Tool

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Karl-Filip Selander; [2021]
    Keywords : LSTM; anomaly detection; time-series; multi-variable; sensor; deep learning; LSTM; anomalidetektion; tidsserie; multivariabel; sensor; djupinlärning;

    Abstract : In this thesis, an anomaly detection framework has been developed to aid in maintenance of tightening tools. The framework is built using LSTM networks and gaussian naive bayes  classifiers. The suitability of LSTM networks for multi-variate sensor data and time-series prediction as a basis for anomaly detection has been explored. READ MORE