Advancements in Automated Ice Cream Filling: Enhancing Efficiency and Quality in Frozen Delights Production

Conventional frozen dessert production heavily depends on manual operations such as ingredient handling, mixing, and monitoring, often resulting in inefficiencies and extended production cycles. This project presents an innovative automated system designed to improve the manufacturing process, reducing labor dependency and increasing productivity. Central to this advancement is a sophisticated conveyor mechanism that enhances workflow by seamlessly transferring filled containers from production to packaging. Automated sorting modules classify products based on attributes like flavor, package type, or volume, reducing manual work and ensuring accurate and efficient organization. Precision control systems ensure consistent packaging quality, minimizing errors and enhancing batch uniformity. The system's filling stations make it easy for advanced measurement technology to dispense ingredients with high precision, maintaining uniformity across batches. It accommodates varying cup sizes—50 ml, 80 ml, and 100 ml—enabling dynamic adjustments for simultaneous packaging of diverse quantities and optimizing resource usage. At its core, the solution integrates a custom-designed conveyor belt with IR sensors, DC motors, Arduino Uno microcontrollers, and an intuitive Human-Machine Interface (HMI). The IR sensors initiate the filling process, while the microcontroller checks synchronized operation, adjusting timing and quantity based on cup dimensions. The HMI provides real-time feedback and control options for continuous monitoring and adjustments. Hygiene is being prioritized by reducing human involvement to reduce contamination risks, and real-time data analysis is used for enhanced efficiency.

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Publication Details

Published
2025-04-24
DOI
https://doi.org/10.1109/iccies63851.2025.11033046
Primary Topic
Freezing and Crystallization Processes
Type
article
Field-Weighted Citation Impact
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article

Advancements in Automated Ice Cream Filling: Enhancing Efficiency and Quality in Frozen Delights Production

Yogendra Kumar, M Sasireka, P. Vidhyalakshmi, V. Madhujit et al.
Freezing and Crystallization Processes
article

Advancements in Automated Ice Cream Filling: Enhancing Efficiency and Quality in Frozen Delights Production

Yogendra Kumar, M Sasireka, P. Vidhyalakshmi, V. Madhujit, K. Kanishka
article en

Abstract

Conventional frozen dessert production heavily depends on manual operations such as ingredient handling, mixing, and monitoring, often resulting in inefficiencies and extended production cycles. This project presents an innovative automated system designed to improve the manufacturing process, reducing labor dependency and increasing productivity. Central to this advancement is a sophisticated conveyor mechanism that enhances workflow by seamlessly transferring filled containers from production to packaging. Automated sorting modules classify products based on attributes like flavor, package type, or volume, reducing manual work and ensuring accurate and efficient organization. Precision control systems ensure consistent packaging quality, minimizing errors and enhancing batch uniformity. The system's filling stations make it easy for advanced measurement technology to dispense ingredients with high precision, maintaining uniformity across batches. It accommodates varying cup sizes—50 ml, 80 ml, and 100 ml—enabling dynamic adjustments for simultaneous packaging of diverse quantities and optimizing resource usage. At its core, the solution integrates a custom-designed conveyor belt with IR sensors, DC motors, Arduino Uno microcontrollers, and an intuitive Human-Machine Interface (HMI). The IR sensors initiate the filling process, while the microcontroller checks synchronized operation, adjusting timing and quantity based on cup dimensions. The HMI provides real-time feedback and control options for continuous monitoring and adjustments. Hygiene is being prioritized by reducing human involvement to reduce contamination risks, and real-time data analysis is used for enhanced efficiency.

Openalex Percentile: Top 85%
Freezing and Crystallization Processes
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