Fruit Expert
Classification System
Instantly grade freshness, compute brix index metrics, and evaluate exact ripeness stages using computer vision and hyperspectral color analytics.
Specimen Input Console
Drop an image or select a ready fruit specimen profile to run instant AI grading scans.
Upload Specimen Image
Supports PNG, JPG, or agricultural raw formats
Awaiting Specimen Diagnostics
Select a specimen sample or upload a photo to populate the AI ripeness dashboard instantly.
AI Model Specifications
Fruit Vision is powered by three specialized artificial intelligence engines working in tandem.
We will be adding support for more fruits in the upcoming future!
Image Classification Engine
Our primary neural network used for identifying uploaded photos and tracking via live camera feed.
Real-Time Detection YOLO
A blazing-fast YOLOv8 object detection model that instantly draws bounding boxes around multiple fruits at once.
Symbolic Logic AI Engine
A rule-based expert system that analyzes descriptive text inputs to deduce the fruit using specific characteristics.