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ADAL: Revolutionizing Abattoir Meat Inspection

ADAL (Automatic Detection of Abattoir Lesions) is an innovative, AI-driven health surveillance solution that automates the inspection of pig meat at abattoirs, providing objective quality scores for each carcass and ensuring consistent and comprehensive quality assessments.

From Tradition to Innovation: Redefining Meat Inspection Standards

At the forefront of innovation, ADAL redefines traditional abattoir meat inspection, offering a comprehensive, AI-powered solution that overcomes the limitations of traditional methods.

Automated Inspections

ADAL automatically identifies lesions and abnormalities in carcasses that might be missed during manual inspections

Recording and Reporting

ADAL automates the recording of findings, providing accurate and comprehensive reports on the health status of animals

Decision Making

ADAL delivers quick, data-driven decisions on carcass quality to ensure food safety and save time

Quality Assurance and Monitoring

ADAL offers real-time monitoring and compliance with regulations to safeguard public health

Comprehensive Testing and Scalability

ADAL facilitates through automation advanced data analysis on large numbers of animals

How ADAL system works

1

Robot for image acquisition (or fixed cameras)

Placed along the slaughter line in the most suitable and convenient position for the slaughterhouse in terms of security and optimal lighting conditions.

2

Software AI for image and data processing

Photos are processed by A.I. which annotates anatomical sections and proposes diseased areas in red.

3

Results reporting and integration

The veterinarians and/or health authorities will have immediate access to the results provided by the software to double verify, when required, the annotated images. 
All the results of the analysis performed by the system will be stored and made available to veterinarians and other stakeholders.
Data will be accessible both at the slaughterhouse and remotely through ADAL (remote) web app allowing authorised people to access the information provided by the system.

How ADAL system works

1

Robot for image acquisition (or fixed cameras)

Placed along the slaughter line in the most suitable and convenient position for the slaughterhouse in terms of security and optimal lighting conditions.

2

Software AI for image and data processing

Photos are processed by A.I. which annotates anatomical sections and proposes diseased areas in red.

3

Results reporting and integration

The veterinarians and/or health authorities will have immediate access to the results provided by the software to double verify, when required, the annotated images.

All the results of the analysis performed by the system will be stored and made available to veterinarians and other stakeholders.
Data will be accessible both at the slaughterhouse and remotely through ADAL (remote) web app allowing authorised people to access the information provided by the system.

Our work

Current applications

Pleurisy

ADAL is able to detect pleurisy lesions on pig carcasses with a high precision level.

Pneumonia

ADAL detects with a significant level of accuracy the presence of pneumonia and gives the lung lesions a score.

Future applications

Hepatitis and Liver Lesions

The system will be fine-tuned to evaluate parasitic hepatitis which is commonly found in intensive pig breeding.

Tail Measurement and Lesions Detection

The system will be deployed to measure tail length and detect tail lesions to discourage the practice of tail docking.

Skin Lesions

ADAL will be deployed to detect skin lesions, which will be particularly useful to guarantee the quality of hams.

Pneumonia Demo

Enzootic Pneumonia (EP) is one of the most serious and common respiratory conditions affecting pigs, leading to significant health impacts and economic losses.
Experience the future of animal health inspection by exploring our advanced technology designed for pneumonia analysis.

TRY OUR DEMO
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Get in Touch

If you are interested in finding out more about our solutions, contact us!

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