Multi-Defect Analysis
Cracks · blood spots · internal defects · shape · dirt
AI-Powered Egg Inspection and Quality Control System
OvoScope AI is an AI-powered egg inspection system that combines high-speed cameras, specialized lighting and image processing to evaluate egg surface and quality characteristics. Integrated into BG Makina egg handling lines, it detects and classifies defined quality conditions while maintaining synchronized egg flow through the grader.
Cracks · blood spots · internal defects · shape · dirt
Performs image analysis with a pre-trained AI model
Integrates with OvoSelect F75/DX300/DX600 models
OvoScope AI is a new-generation egg detector that combines high-speed camera technology, a special lighting system and AI-powered image analysis to inspect the surface and quality characteristics of eggs with high precision. It evaluates dirt, cracks, breaks, shell deformation, color, feathers, blood spots and other surface features individually, then classifies eggs by the operator's quality criteria and directs them to the right outlet.
01
OvoScope AI's imaging system combines high-quality cameras, specially positioned light sources and laser-assisted illumination. This special lighting architecture directs light as precisely as possible onto the egg area alone.
As each egg rotates along the grader's rollers, it is imaged from different angles. Instead of judging an egg from a single photo, OvoScope AI uses the egg's movement and rotation to capture 4 different images per egg, which are analyzed by a pre-trained AI model.
02
OvoScope AI does more than a simple "clean" or "dirty" classification. Beyond detecting dirt on the egg, it evaluates the level of soiling and its distribution across the surface: surface dirt, heavily soiled areas, marks on the shell, feathers and stuck feathers, blood spots and other surface anomalies.
The operator can define which features are separated and which group they are sent to, based on the facility's quality criteria.
03
OvoScope AI can evaluate shell integrity across multiple categories: normal cracks, hidden cracks, cracks barely visible to the eye, shell dents, shell holes, damaged or torn membranes, leaking breaks, running breaks, burst eggs and other shell deformations.
This lets the operation create separate quality groups by crack type instead of a single "broken egg" category.
04
OvoScope AI analyzes not only defects but also the egg's color characteristics. It can separate white, brown and other colors, and analyze brown tones in detail to create groups such as light, medium and dark brown.
This is a major advantage in operations handling eggs from different flocks or working to different color standards.
05
One of OvoScope AI's biggest advantages is its ability to estimate an egg's volume — and from it, its weight — using image analysis data. Under suitable conditions the system can achieve weight estimation accuracy of around ±2 grams.
Undersized, oversized, non-standard or out-of-range eggs can also be detected. This gives the operation AI-powered off-grade separation on the existing line, without investing in an additional grading machine.
06
OvoScope AI is designed to work alongside high-speed egg grading machines. Each imaging lane can inspect up to 10,000 eggs per hour, and the system can be configured in 6, 9 or 12-lane modules to match the grader: 60,000 eggs/hour with 6 lanes, 90,000 with 9, 120,000 with 12.
Decision criteria are configured to the operation's needs: the operator defines which dirt levels, crack types, color groups and weight ranges are separated. The AI analyzes the image; the business sets the criteria.
| AI-powered image analysis | ✓ |
| High-speed camera system | ✓ |
| Special zonal illumination | ✓ |
| Laser-assisted lighting technology | ✓ |
| Images of every egg | 4 different angles |
| Dirt detection | ✓ |
| Dirt level analysis | ✓ |
| Blood spot detection | ✓ |
| Feather / stuck feather detection | ✓ |
| Crack detection | ✓ |
| Hidden crack analysis | ✓ |
| Crack type analysis | ✓ |
| Shell dent / hole detection | ✓ |
| Egg color analysis | ✓ |
| Color tone detection | ✓ |
| Boyut analizi | ✓ |
| Estimated weight | Approx. ±2 g* |
| Off-grade egg separation | ✓ |
| Operator-defined criteria | ✓ |
| Capacity per line | 10,000 eggs/hour |
| Modular design | 6 / 9 / 12 lanes |
| 6-lane capacity | 60,000 eggs/hour |
| 9-lane capacity | 90,000 eggs/hour |
| 12-lane capacity | 120,000 eggs/hour |
* Weight estimation accuracy may vary depending on egg geometry, color, shell structure and operating conditions.
While conventional systems mostly focus on detecting a few predefined defects, OvoScope AI is an image analysis system that evaluates the egg across multiple characteristics. Where the traditional approach is "See → Detect → Separate", OvoScope AI works as "See → Analyze → Classify → Decide → Separate".
Images captured of every egg are analyzed by a pre-trained AI model. The resulting data can be used in quality control and classification criteria.
Talk to our engineering team about installation, training and service packages tailored to your facility.