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Rice Inspection Tool

To export rice, the rice grains must adhere to a set of standards. Each rice type has predefined criteria for average length, color, and shape. Currently, the verification of these standards is performed manually on rice after cultivation. This manual task is both tedious and susceptible to errors and corruption.

Technologies Used

The Rice Inspection Tool leverages Android Studio (Java) for the mobile app, FastAPI (Python) for the server, and OpenCV (Python) for image manipulation. It provides a comprehensive solution to all these problems by automating the inspection process and generating a report hosted on a centralized server. This approach makes the entire process transparent, fast, and less prone to human error. Here's how we achieve this: The rice sample is loaded into a control box, an image is captured of the sample, and this image is then analyzed by the tool. Subsequently, the tool generates a detailed report outlining the specifications of the rice based on the captured image.

Android Studio

FastAPI

OpenCV

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