Our AI solutions
Photographic documentation
of carcass halves
Every animal documented – objectively, with images, and traceable.
Your Challenge Challenge Challenge
When evidence is lacking, trust becomes a matter of interpretation.
Whether it's cutting, contamination, or conspicuous features, many companies lack objective evidence when it comes to complaints. Carcasses are classified, but not visually documented. This not only complicates internal quality assurance, but also communication with customers, inspection bodies, and audits.
Our Solution Solution Solution
AI-supported photo documentation
With FOODFAIR's automated photo documentation, every carcass is captured visually – fully automatically, precisely timed, and linked to animal and classification data. The images are immediately available in the system and serve as an objective basis for queries, evidence documentation, or quality assessment.
What the solution does
- Automated image capture of carcass halves in real time
- Triggered by sensor or AI – synchronized with the slaughter proces
- Link to animal, slaughter, and classification data
- mages available for quality assurance, customer portals, or traceability
- Suitable for cattle and pigs – also under export standards
Your benefits
How objective image documentation is changing everyday life
The AI solution reduces queries, simplifies checks, and builds trust—both internally and externally. Data is available centrally, enabling significantly more efficient complaint and QA management.
Complete documentation
Each carcass is recorded completely and automatically – without manual inspection.
Objective images for everyone involved
Images are immediately available to customers, QA departments, or inspection agencies.
Faster clarification of discrepancies
Queries can be traced visually – without time-consuming tracking.
Time savings in complaint processing
Fewer follow-up checks, less personnel expenditure – greater clarity.
Greater auditability & customer loyalty
Transparency builds trust – with partners, authorities, and export customers.
Your possibilities – our goal
Every carcass counts – and so does every piece of evidence
The FOODFAIR solution brings consistency to an area that has often been based on visual inspection and individual decisions. It enables complete documentation, digital traceability, and targeted feedback to suppliers or customers.
The photo documentation also serves as the basis for future AI evaluations—for example, for the automatic detection of anomalies, contamination, or cuts. Together with modules such as cattle classification or organ diagnosis, this creates a comprehensive QA system.
- Close visual gaps in quality assurance
- Save time in complaints, quality assurance, and customer communication
- Make data usable for long-term evaluation, training, or risk analysis
- Establish consistent processes for audits and certifications
- Laying the foundation for automated image analysis
The next step starts here
Resolve complaints objectively – with FOODFAIR photo documentation
Want to ensure quality without extra work? Image documentation can be seamlessly integrated into your line—scalable, connectable, and auditable.
5 common questions about product recognition with AI:
Which parts of the animal are photographed?
Half carcasses – e.g., back, belly, or specific visible areas.
How is the recording triggered?
Via clock generator or AI – synchronized with the production process.
Where are the images stored?
The images are linked to slaughter data and stored centrally in the system.
Who has access to the data?
Access is via the QS system, ERP, or customer portal, depending on the operating configuration.
Can the solution be combined with other FOODFAIR modules?
Yes – e.g. with cattle classification, organ findings, or slaughter number recognition.
Discover more solutions:
Slaughter number recognition
Ensure traceability
Tail recognition
Making animal welfare measurable
Organ assessment
Visually recording disease characteristics
RFID ear tag recognition
Seamless animal ID recognition
Gender recognition
Automatic documentation
Beef carcass classification
Evaluate objectively
Ear recognition
Record lesions – audit-proof
Photo documentation
Visually ensuring quality
