IoT-Based System for the Automated Separation of Chilies

Abstract

The present invention relates to an IoT-Based System for the Automated Separation of Chilies. The invention is an IoT-based automated system for chili separation in food processing, integrating high-resolution cameras, color sensors, and weight sensors to assess chili quality. The system features real-time data processing, pneumatic or motorized actuators for sorting, and quality monitoring sensors for environmental conditions. Predictive maintenance, remote monitoring, and energy optimization enhance efficiency, reduce costs, and maintain product quality. This advanced system provides a comprehensive solution for chili sorting and quality assurance in food processing. Accompanied Drawing [FIG. 1]

Specification

Description:[001] This invention pertains to the field of food processing technology, specifically the automation of agricultural sorting systems. It involves an IoT-enabled system that integrates advanced sensor technology, real-time data analytics, and automated control mechanisms for the efficient and precise separation of chilies (mirchi). The system includes features such as automated sorting, quality monitoring, predictive maintenance, and remote control, enhancing operational efficiency, reducing manual labor, and improving quality standards in chili processing.
BACKGROUND OF THE INVENTION
[002] The following description provides the information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[003] Pregnancy The food processing industry frequently encounters challenges related to the manual sorting and , Claims:1. An automated chili separation system, comprising:
• High-resolution cameras, color sensors, and weight sensors configured to collect data on chili size, color, and weight.
• Pneumatic or motorized actuators that separate chilies based on sensor data processed in real-time through an IoT platform.
• The system of claim 1, wherein the color sensors are configured to assess the visual quality of chilies, facilitating sorting based on freshness and ripeness.
2. The system of claim 1, further comprising an IoT-enabled quality monitoring module that includes temperature, humidity, and ethylene sensors to ensure optimal processing conditions.
3. The system of claim 1, further comprising a predictive maintenance module that uses vibration, temperature, and usage sensors to forecast equipment failures and schedule maintenance proactively.
4. The system of claim 1, further comprising a remote monitoring and control interface that allows operators to access system data and control settings from a remote location.
5.

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