Design Of Plcintegrated Object Detection For Categorizing Conveyor

• doi: 10.1109/RI2C60382.2023.10356010
• title: Design of PLC-Integrated Object Detection for Categorizing Conveyor
• publisher: IEEE
• isbn: 979-8-3503-3062-5
• issn:
• rank: 2155
• access_type: LOCKED
• content_type: Conferences
• abstract: The purposes of this research aim to retain an artificial intelligence model using the NVIDIA Jetson Nano Developer Kit as AI module, integrated the conveyor belt sorting system and investigate accuracy and the optimization of velocity belt. The essential components of the sorting system comprise three parts: the detecting module, which includes an image sensor was CMOS 2 MP pixel and an object detection image processing device; the automatic control system, which comprises a programmable logic controller (PLC), a pneumatic system, control valves, conveyor belts, motor control system, and the main computer system for internal communication and presentation of system data through the Monitoring Dashboard. Object detection models were re-trained model after the dataset was prepared by capturing and labeling images. The AI module and automation conveyor are linked through MQTT, MC protocol, and OPC server. Kepwear was installed on a host computer to communicate and transfer data messages. The results of research show that the conveyor's velocity belt speed was 0.11 m/s, with an average correctly detected value of 82.50 percent and a low-high detecting accuracy between 75.00 and 91.7 percent. At a speed of 0.22 m/s of the conveyor's velocity belt speed, the greatest value is 83.33 percent, its lowest value is 66.67 percent, and its average detected value is 75.00 percent.
• article_number: 10356010
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10356010
• html_url: https://ieeexplore.ieee.org/document/10356010/
• abstract_url: https://ieeexplore.ieee.org/document/10356010/
• publication_title: 2023 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)
• conference_location: Bangkok, Thailand
• conference_dates: 24-25 Aug. 2023
• publication_number: 10355960
• is_number: 10355935
• publication_year: 2023
• publication_date: 24-25 Aug. 2023
• start_page: 130
• end_page: 134
• citing_paper_count: 2
• citing_patent_count: 0
• download_count: 169
• insert_date: 20231221
• index_terms:
  • ieee_terms:
    • Semiconductor device modeling
    • Technological innovation
    • Protocols
    • Computational modeling
    • Object detection
    • Belts
    • Valves
  • author_terms:
    • Object Detection
    • Re-training Model
    • Autonomous Interfacing
    • MQTT
    • PLC
    • OPC Servers
    • Conveyor
  • dynamic_index_terms:
    • Object Detection
    • Motor Control
    • Image Sensor
    • Camera Sensor
    • Greatest Value
    • Conveyor Belt
    • Object Detection Model
    • Automatic Control System
    • Programmable Logic Controllers
    • Model Retraining
    • Data Messages
    • Belt Speed
    • Convolutional Neural Network
    • Actuator
    • Deep Learning Models
    • Internet Of Things
    • Digital Networks
    • Computer Network
    • Multiple Devices
    • Fully Convolutional Network
    • Industrial Internet Of Things
    • Video Resolution
    • Single Shot Multibox Detector
    • AI Models
    • Accurate Object Detection
    • Messaging Protocol
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 979-8-3503-3062-5, isbnType: New-2005
  • format: Electronic ISBN, value: 979-8-3503-3061-8, isbnType: New-2005
• authors:
  • Author Name: Nuttapon Rothong
    Affiliation: College of Industrial Technology, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand
    Author URL: https://ieeexplore.ieee.org/author/318434022446791
    ID: 318434022446791
    Order: 1
    Author Affiliations:
    • College of Industrial Technology, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand
  • Author Name: Pawanrat Chinakunwiphat
    Affiliation: Department of Mechanical Education, Faculty of Technical Education, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand
    Author URL: https://ieeexplore.ieee.org/author/311663780542420
    ID: 311663780542420
    Order: 2
    Author Affiliations:
    • Department of Mechanical Education, Faculty of Technical Education, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand
  • Author Name: Sudarat Chainoi
    Affiliation: Department of Mechanical Education, Faculty of Technical Education, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand
    Author URL: https://ieeexplore.ieee.org/author/155944116238454
    ID: 155944116238454
    Order: 3
    Author Affiliations:
    • Department of Mechanical Education, Faculty of Technical Education, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand
  • Author Name: Borihan Butsanlee
    Affiliation: Department of Mechanical Education, Faculty of Technical Education, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand
    Author URL: https://ieeexplore.ieee.org/author/422792106426006
    ID: 422792106426006
    Order: 4
    Author Affiliations:
    • Department of Mechanical Education, Faculty of Technical Education, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand

Image Sensor

• sensor_type: CMOS
• resolution: 1280x720
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• frame_rate: 30 fps

Applications & Benefits

• cell_imaging: The use of the image sensor in cell imaging applications is implied but not specifically detailed.
• benefits: Benefits of using the image sensor in a conveyor system for object detection.

Supporting Organizations

• supported_by: NVIDIA

Manuscript Details

• publication_date: 24-25 Aug. 2023

Relevancy Score

• score: 8
• missing_fields:
  • fill factor
  • quantum efficiency
  • image quality considerations
  • microlenses usage
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

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