Applications | Fully Automated Fruit Appearance Inspection Combining Machine Vision and AI Algorithms

2026-02-11

In large-scale fruit processing and sorting, appearance quality directly affects grading results, price range, and brand image.

However, traditional manual visual inspection, which relies on human eyes, is heavily influenced by individual experience and condition, making it difficult to maintain consistent sorting standards. During prolonged high-intensity operations, missed inspections and misjudgments are prone to occur. As production line speeds increase, the limitations of labor costs and efficiency become increasingly prominent.

To address the needs of modern fruit and vegetable processing scenarios that prioritize efficiency, stability, and consistency, Aoptek introduces the new NY2310 Online Fruit Appearance Defect Detector. It provides an automated and standardized solution for detecting appearance defects in fruits.

01 Machine Vision & AI: Enabling Fully Automated Fruit Inspection

Machine Vision + AI for Fully Automated Appearance Inspection Utilizing a machine vision system and AI algorithms, the equipment enables real-time, precise identification of fruit appearance, supporting efficient grading and sorting operations.

Comprehensive Defect Detection via Machine Vision
Leveraging computer vision technology, it captures and analyzes fruit color, shape, and surface defect information, accurately identifying various appearance flaws such as spots, bruises, cracks, and deformities.
Fully Automated Operation, Minimizing Manual Intervention
The entire process—detection, judgment, and grading—is fully automated, eliminating the need for manual involvement. This significantly reduces labor dependency and enhances production line efficiency.
High Speed and Precision, Aligning with Processing Line Rhythms
With fast detection speed and high accuracy, the equipment operates stably in continuous processing environments, meeting the dual requirements of efficiency and accuracy for large-scale sorting.
Modular Design for Easy Integration with Existing Sorting Systems
Featuring a modular structural design, it is simple to install and deploy. The system can be flexibly connected to online intelligent fruit sorting systems, adapting to different production line layouts and upgrade needs.

02 Product Specifications

03 Scalable Processing and Sorting for Multiple Fruit Varieties

The NY2310 Online Fruit Appearance Defect Detector is suitable for online appearance inspection and grading/sorting of fruits and vegetables. It is particularly well-suited for processing environments with high demands for efficiency and consistency. By transforming appearance inspection from "manual judgment based on experience" to "machine-driven standard execution," it delivers higher efficiency, lower costs, and more stable quality output for fruit processing and sorting operations.

Fruit Processing Plants and Sorting Centers
Enables standardized inspection of appearance defects, improving grading consistency and overall processing efficiency.
Large-Scale Sorting Lines for Citrus, Apples, etc.
Adaptable to a variety of common fruit types, meeting inspection needs for different fruit shapes and appearance characteristics.
Branded Fruit Quality Control Processes
Ensures stable appearance quality of outbound fruits through automated visual screening, enhancing brand credibility.