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  • Akademia Baru Publishing  (2)
  • 1
    Online Resource
    Online Resource
    Akademia Baru Publishing ; 2023
    In:  Journal of Advanced Research in Applied Mechanics Vol. 105, No. 1 ( 2023-06-26), p. 58-67
    In: Journal of Advanced Research in Applied Mechanics, Akademia Baru Publishing, Vol. 105, No. 1 ( 2023-06-26), p. 58-67
    Abstract: This study proposes a Centralized IoT-based Process Cycle Time Monitoring System (CTMS) to improve the efficiency and accuracy of line balancing studies in a production line with a conveyor system. The traditional approach of measuring cycle time, typically done by manual observation and recording, can be prone to errors due to human factors such as fatigue or inaccuracies in manual recording. The proposed CTMS utilizes a combination of cutting-edge technologies such as a cloud database, android application, LABVIEW GUI, analogue infrared (IR) sensors, and appropriate controllers to improve the reliability of cycle time measurements. The system continuously monitors the production line and provides real-time data on cycle time, downtime, and other relevant metrics, allowing production engineers to quickly identify bottlenecks and areas for improvement. The results of the study demonstrate the potential of the CTMS to be applied and expanded to actual production lines with conveyor systems, providing a valuable tool for production engineers to develop strategies to reduce cycle time and ensure it is kept in check. The proposed CTMS is expected to have a positive impact on the efficiency and profitability of the production line by reducing downtime and increasing productivity.
    Type of Medium: Online Resource
    ISSN: 2289-7895
    URL: Issue
    Language: Unknown
    Publisher: Akademia Baru Publishing
    Publication Date: 2023
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    Akademia Baru Publishing ; 2023
    In:  Journal of Advanced Research in Applied Mechanics Vol. 104, No. 1 ( 2023-5-29), p. 33-45
    In: Journal of Advanced Research in Applied Mechanics, Akademia Baru Publishing, Vol. 104, No. 1 ( 2023-5-29), p. 33-45
    Abstract: This paper proposes a system for efficient object recognition based on colour and shape features using a webcam and LabVIEW. The study aims to develop a model scale conveyor belt system for Lego brick sorting based on colour and shape. The proposed system uses the webcam and LabVIEW's graphical programming environment to capture and analyse images, extract colour and shape features, and perform object recognition. An Arduino microcontroller, integrated with LabVIEW software, is used to move the servo and motor of the conveyor belt sorting system based on the analysed image capture from the webcam. The proposed system has the potential to be applied in real-world applications such as the food industry, particularly in fruit and vegetable sorting which will help reduce the amount of time and labour needed for manual sorting and food waste by ensuring that only good quality produce is sold. Another potential real-world application for the proposed system is quality control and defect detection in the manufacturing industry. The system proposed in this paper can sort objects using object recognition based on the object's colour and shape features, with the overall system average reliability percentage is 90%. Overall, the system is applicable in real-world applications if the limitations mentioned are overcome and improved by integrating with the Internet of Things (IOT) for a long-range monitoring system.
    Type of Medium: Online Resource
    ISSN: 2289-7895
    URL: Issue
    Language: Unknown
    Publisher: Akademia Baru Publishing
    Publication Date: 2023
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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