Quality Control in Agro Produces

Problem Statement: GThe commodities market in agriculture reels with the problem of subjective quality control. Using computer vision, we can remove human subjectivity leading to a better value realization.

Classification of individual produce based on shape, size, and color.
Defect detection algorithm that can quantify the area of defect.
Portable solution that runs on a sorting machine as well as can be provided as an app with cloud integration.

Image Quality Assessment Object Detection, Semantic Segmentation, Object Shape Classification, IoT, Edge AI, Sorting Assembly Integration