The Innovative Application of Intelligent Abalone Grading Equipment

2025-02-21

With the large-scale development of the aquaculture industry, the traditional method of manually grading abalone can no longer meet the market demand. In recent years, intelligent grading equipment based on computer vision, artificial intelligence, and automation technology has emerged as the times require, becoming the core tool for improving the processing efficiency of abalone.

I. Core Equipment and Technical Principles

High-precision Image Recognition System

Using multi-spectral cameras and 3D modeling technology, it can quickly capture the size, shape, and surface texture features of abalone. Through deep learning algorithms, the system can complete the grade determination (such as top grade, first grade, second grade) of a single abalone within 0.5 seconds, with an accuracy rate of up to 98%.

Dynamic Weighing and Density Analysis Module

The conveyor belt integrated with pressure sensors can synchronously measure the weight of abalone. Combined with the data of shell and meat density, the grading standards are further optimized. For example, individuals with a weight of 50-80 grams and uniform shell patterns can be classified as top-grade products.

Automated Sorting Robotic Arm

The six-axis robotic arm equipped with flexible grippers, according to the system instructions, can accurately place abalone into the corresponding grade storage areas at a speed of 60 pieces per minute, avoiding the losses caused by collisions in traditional sorting.

II. Analysis of Application Benefits

Efficiency Improvement: The daily processing capacity of a single piece of equipment reaches 5 tons, which is 20 times more efficient than manual operation.

Quality Assurance: Through standardized grading, the premium rate of top-grade abalone has increased by 30%, helping enterprises develop in a branded manner.

Cost Optimization: After a certain aquaculture enterprise in Fujian introduced the equipment, the labor cost was reduced by 75%, and the annual income increased by more than 2 million yuan.

III. Future Development Trends

In 2025, the combination of 5G Internet of Things technology and edge computing enables the grading equipment to be connected to the aquaculture database in real time and dynamically adjust the grading parameters. For example, the weight threshold can be automatically optimized according to the growth cycle of abalone, or the nutritional components can be predicted through the analysis of shell color.

Conclusion

The popularization of intelligent grading equipment marks the transformation of the aquatic product processing industry from a labor-intensive industry to a technology-intensive one. With the continuous iteration of AI algorithms, this technology will create greater economic value for the abalone industry and also provide a replicable upgrading path for the processing of other seafood products.