Silkworm Cocoon Identification and Separation Mechanism Design

Texas Instruments in collaboration with Department of Science and Technology (DST), powered by AICTE mission proudly announce the DST & Texas Instruments India Innovation Challenge Design Contest 2019 anchored by NSRCEL, Indian Institute of Management, Bangalore (IIMB) and supported by MyGov.

Business Details Summary:

Our project aims to address the issue of gender classification of silkworm cocoons during the farming life cycle. Currently, this process is carried out manually in the Indian industry, leading to inefficiencies and decreased yield quality. To overcome these challenges, we are designing and developing a system that utilizes load sensors and near-infrared (IR) sensors to acquire weight and reflectance data from individual cocoons. This data is then used as inputs for a classifier/separator to determine the gender of the cocoons and sort them into respective bins. By automating this process, we aim to improve accuracy, reduce time, and enhance productivity in the silkworm farming industry.

Technical Details Summary:

Our system combines weight-based differentiation and near-IR spectroscopy to accurately identify and separate silkworm cocoons based on their gender. The weight sensors measure the weight difference of the cocoons, while the near-IR sensors analyze the reflectance and radiation patterns to differentiate between male and female cocoons. By integrating these subsystems, we can achieve a high success rate in gender classification. The system's block diagram and circuit diagram showcase the working principles of the weight and IR sensors. Our proposed solution offers automation, cost-effectiveness, and increased accuracy compared to existing methods.

YouTube Video Explaining the Project