ZENYER Visual AI Crack Egg Detector - Contactless Egg Detection System
For many years, the manual candling inspection and acoustic crack detection have been the industry standard for inspecting cracked eggs.
Egg crack detection is an especially vital inspection criterion, since the eggshell forms an important barrier against bacterial growth on the inside of the eggs, any cracks in the shell therefore presents an increased risk of bacterial infection and growth.
In addition, the traditional egg inspection methods, such as manually picking out the cracked eggs or hitting the eggshell with a testing device both have potential hygiene risks.
The Zenyer visual AI detector is contactless, which allows operators to scan the eggs without physically handling them, resulting in even further improvement in food safety and hygiene.
The system has self-learning capabilities to adapt to new standards and requirements through continuous data accumulation and algorithm updates. Combined with big data technology, the system can learn from a large amount of historical data to improve detection accuracy and efficiency.
The detector works through image processing. Cameras mounted inside the top of the cabinet scan the eggs while they are rotating on the infeed roller. The infrared light strips placed under the roller allow the cameras to take clearer images which are then processed in the computer. Any eggs with cracked shells, dirt spots, or any other defective features will be rejected automatically.
Features:
The 6-row Visual AI Egg crack detector is compatible with the 6-row of a new Zenyer egg washer or an egg grader with the capacity from 10,000-30,000 eggs/hour.
Modular design: This modular visual detector can also be attached to the existing ZENYER or any other brands of egg graders, egg washers and farm packers.
Real-time detection data: You can check how many defective eggs produced at your farm per day or per shed, and these results will help you improve the management of your farm.
Remote maintenance: The machine has a remote monitoring and maintenance system, allowing it to quickly respond to and solve potential problems and ensure long-term stable operation of the machine.
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