AI Olive Sorting & Selection System
Real-Time Quality Control Powered by Artificial Intelligence
Analyzes olives moving on a conveyor in milliseconds using an industrial camera and a YOLO model running on NVIDIA Jetson; classifies them by color, defect, size and shape, then separates them automatically with a pneumatic system.
This is not a harvesting machine — it is a real-time, in-line quality control and sorting system.
How It Works
Conveyor Feeding
Olives advance in an orderly flow on the conveyor toward the camera station.
Camera & Edge AI
An industrial camera images each olive; the YOLO model on NVIDIA Jetson analyzes it in real time.
AI Classification
Instantly classified by color/ripeness, broken/cracked, scratched, wrinkled and stained/defective criteria.
Pneumatic Separation
Encoder-synchronized pneumatic diverters route each olive to the correct category.
Detection Criteria
Real-Time Quality Control Powered by Artificial Intelligence
High Throughput
Encoder-synchronized, locked to conveyor speed for uninterrupted processing.
Consistent Quality
Evaluation by the same criteria 24/7, independent of operator fatigue.
Traceability
Classification data for every batch is logged and reported.
Tailored to Your Line
Conveyor width, number of categories and criteria are configured per facility.
Technical Specifications
See It in Action
Target Industries