Automated Rice Inspection App
This software is designed to modernize the rice export industry by automating the inspection process, which has traditionally been manual, time-consuming, and prone to errors. This sophisticated tool simplifies the procedure by capturing and analyzing images of rice samples, subsequently generating detailed reports with specifications. All information is easily accessible through a centralized server. By adopting this technology stack and approach, the system enhances transparency, increases speed, and significantly reduces human error.
Problem Statement
In the rice export sector, it's essential for rice grains to meet specific standards, which include predefined criteria for average length, color, and shape. At present, the process of verifying these standards is conducted manually following rice cultivation. This manual approach is not only labor-intensive but also prone to inaccuracies and potential corruption.
Our Solution & Technologies Used
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Android Studio
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FastAPI
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OpenCV
This tool employs Android Studio (Java) for its mobile application, FastAPI (Python) for backend server operations, and OpenCV (Python) for image processing. This combination automates the inspection process, thereby addressing the previously mentioned issues by swiftly generating reports, which are then accessible on a centralized server. This methodology enhances transparency, accelerates the process, and minimizes human error. The process begins with placing a rice sample into a designated control box, followed by capturing an image of the sample. This image is analyzed by the software, which then produces a comprehensive report detailing the rice's specifications based on the analysis of the image.
