Design and Fabrication of Color based Automatic Yarn Carrier Sorting Machine

Ananthi, K; Priyadharshini, S.; Sabarikannan, S; R.Dharshini,; Dharshini, K. Priya

doi:10.1109/icaccs51430.2021.9441995

Cited by 4 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They used Image processing algorithms to sort objects according to parameters. Ananthi et al [21] designed and fabricated color based automatic yarn carrier sorting machine. The Pneumatic cylinder has used to transfer yarn in their respective place.…”

Section: Previous Workmentioning

confidence: 99%

Design & Fabrication of Automatic Color & Weight-Based Sorting System on Conveyor Belt

Nuva

Ahmed

Mahmud

2022

JIAE

View full text Add to dashboard Cite

Object sorting is a basic process that is employed in a variety of disciplines in our daily lives for our convenience. Previously, the sorting operation was done by hand using labor justification. Because product quality does not remain consistent during the typical sorting process, it adds complexity to the segregation of products based on their height, color, size, and weight. This method is also time-consuming and slows down output. To overcome these problems, Low-Cost Automation (LCA) has been implemented in the sorting system, which aims to reduce production time, labor cost, and processing complexity, improve product quality, increase production rate, etc. So, in this project, an effective method has been developed for automatically sorting the object based on color and weight. This method uses a conveyor belt, strain gauge load cell, DC motor, servo motor, TCS 34725 RGB color sensor, LCD, LED, and LDR to identify, separate, and collect the objects according to their color and weight. Arduino is used to controlling all the processes. This work has sorted three types of colors -red, , green, and blue, and the weight of different ranges. Firstly, the weights have been sorted by load cell, and then the desired colors have been sorted by color sensor. A bucket at the end of the conveyor belt can be rotated depending on the signal sent from the Arduino to collect the box. The collecting box has a specific portion in a particular color. Hence, it could be rotated at a specific angle for an exact weight for red, blue, and green colors.

show abstract

Section: Previous Workmentioning

confidence: 99%

Design & Fabrication of Automatic Color & Weight-Based Sorting System on Conveyor Belt

Nuva

Ahmed

Mahmud

2022

JIAE

View full text Add to dashboard Cite

show abstract

Lightweight bobbin yarn detection model for auto-coner with yarn bank

Dai,

Hu,

et al. 2024

Sci Rep

View full text Add to dashboard Cite

The automated replacement of empty tubes in the yarn bank is a critical step in the process of automatic winding machines with yarn banks, as the real-time detection of depleted yarn on spools and accurate positioning of empty tubes directly impact the production efficiency of winding machines. Addressing the shortcomings of traditional methods, such as poor adaptability and low sensitivity in optical and visual tube detection, and aiming to reduce the computational and detection time costs introduced by neural networks, this paper proposes a lightweight yarn spool detection model based on YOLOv8. The model utilizes Darknet-53 as the backbone network, and due to the dense spatial distribution of yarn spool targets, it incorporates large selective kernel units to enhance the recognition and positioning of dense targets. To address the issue of excessive focus on local features by convolutional neural networks, a bi-level routing attention mechanism is introduced to capture long-distance dependencies dynamically. Furthermore, to balance accuracy and detection speed, a FasterNeck is constructed as the neck network, replacing the original convolutional blocks with Ghost convolutions and integrating with FasterNet. This design minimizes the sacrifice of detection accuracy while achieving a significant improvement in inference speed. Lastly, the model employs weighted IoU with a dynamic focusing mechanism as the bounding box loss function. Experimental results on a custom yarn spool dataset demonstrate a notable improvement over the baseline model, with a high-confidence mAP of 94.2% and a compact weight size of only 4.9 MB. The detection speed reaches 223FPS, meeting the requirements for industrial deployment and real-time detection.

show abstract

Design and Implementation of Weight-based Sorting Mechanism using IoT

Kalambe,

Deotale

2023

2023 7th International Conference on I-Smac (IoT in Social, Mobile, Analytics and Cloud) (I-Smac)

View full text Add to dashboard Cite

Design and Fabrication of Color based Automatic Yarn Carrier Sorting Machine

Cited by 4 publications

References 1 publication

Design & Fabrication of Automatic Color & Weight-Based Sorting System on Conveyor Belt

Design & Fabrication of Automatic Color & Weight-Based Sorting System on Conveyor Belt

Lightweight bobbin yarn detection model for auto-coner with yarn bank

Design and Implementation of Weight-based Sorting Mechanism using IoT

Contact Info

Product

Resources

About