CHICKEN EGG PRODUCTION ACCOUNTING AND QUALITY CONTROL SOLUTION
Project background:
The objective was to develop AI solutions to replace existing mechanical solutions. Firstly, to perform online egg counting from each hen house and determine egg quality (by shape, color, shell structure, and deviations from quality criteria). Secondly, during production egg-cracking equipment could not determine when the machinery needed improvement, specifically when the cracking knives needed to be sharpened or replaced which affected the quality of the final product.
Biggest challenges: products have similar visual characteristics, which makes classification difficult.
Solution:
Production monitoring system has been developed and implemented to automate the collection of data on the amount and quality of eggs produced per hen house per day. This enables the assessment of production volumes and hen health status. The system also monitors quality of theproduced eggs by analysing the quality of the egg whites and yolks, which is used to determine whether the technical equipment needs improvement.
The system works in real-time. Computer vision and machine learning solutions have been developed and adapted to perform two different tasks – egg quality and counting control and quality control of cracked eggs. The data is collected from a real environment – production site, and is integrated with the company’s accounting system. The system works in a containerised environment.
Key benefits:
- Improved production process, reduced production line downtime;
- Optimised costs for data acquisition and processing;
- Accelerated extraction and processing of quality data;
- Real-time tracking and remote monitoring.
