Vision guided system for smart sorting of cocoa nibs and shell
A high-precision cocoa nib separation system utilizing AI-driven vision technology and adaptive mechanical sorting to improve yield and quality. Integrates RGB and NIR sensors for real-time material analysis and separation.
Overview
The Vision Guided System for Smart Sorting/Segregation of Cocoa Nibs and Shell offers a cutting-edge solution for the cocoa processing industry. By integrating AI-driven vision technology with adaptive mechanical sorting, this system enhances the precision and efficiency of cocoa nib separation. The system aims to address the limitations of traditional aspirator-based systems, reducing nib loss and improving the purity of separated materials. This innovative approach promises to deliver a scalable and robust solution for improved cocoa bean processing.
Technical specifications
- Phase 1: Utilizes a temperature-controlled canopy system to prevent caking and ensure consistent material flow.
- Phase 2: Features a custom AI-based vision system with RGB and NIR sensors positioned above the canopy. The trained model uses real-world data to adjust vibration and aspiration levels based on nib-to-shell ratios.
- Phase 3: Employs mesh-based aspirators and adaptive vibration beds for targeted separation, with active dust ingestion to maintain purity.
- Integration: The AI model is deployed onto an NVIDIA Orin NX module, connected to a PLC-based control system for sensor-driven actuation.
Technology readiness level
Currently at Technology Readiness Level 2, this system is in the early prototype stage. The next steps involve developing a functioning scaled prototype within one year, which will include training the AI model, designing the mechatronic system, and integrating the components for continuous testing under variable conditions.
About Cornell University
Cornell University is a comprehensive private, land-grant research university with campuses in Ithaca and New York City, combining significant scale with cross-disciplinary breadth. Industry connects through open-access user facilities and prototyping labs, pilot-scale testbeds, and a research and technology park that provide pathways from discovery to demonstration. A statewide extension network and integration with a major hospital system enable real-world deployment, while a graduate campus embedded in New York City’s tech corridor provides direct access to startups, venture investors, and corporate R&D teams. Research is supported by competitive federal funding from agencies such as the National Science Foundation, National Institutes of Health, the Department of Energy, and the U.S. Department of Agriculture. A dedicated technology transfer office streamlines IP management, licensing, startup formation, and corporate partnerships across campuses.
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