Detection Of Adulterants in Pistachio Using Machine Learning Technique

Detection Of Adulterants in Pistachio Using Machine Learning Technique

Vishesh R Bhaddurgatte1, Supreeth S Koushik2, Shushruth S3  ,Kiran Y C4

1Electronics And Communication , Pes University

2 Electronics And Communication , Pes University

3 Electronics And Communication , Pes University

4 Information Science , HOD Global Academy Technology

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ABSTRACT: This study addresses the issue of adulteration in pistachios, with a focus of green peas to compromise product purity and maximize profits. Leveraging the capabilities of YOLOv5s, a state-of-the-art real-time image processing model, we developed a robust system for identifying adulterants in pistachios. Comparative evaluations against other deep learning models, including Detectron2 and Scaled YOLOv4 revealed inferior performance in terms of accuracy and speed with our YOLOv5s-based solution. This YOLOv5s model helps to provide instant percentage of adulterants and pistachios.

        Keywords -  YOLOv5s, Scaled YOLOv4, Detectron2