R&D PROJECT

Automatic Detection of Abbatoir Lesions

ADAL is a an innovative Artificial Intelligence (AI) system for the automated acquisition of the images of pathological lesions in the organs of slaughtered animals. This innovative system is capable of analyzing and scoring the images and collects the results in an online report.
ADAL is the first technology that applies deep learning techniques in the analysis of acquired images.

WHY ADAL

Animal diseases and commonly respiratory disorders, can be present at times in 50% of carcasses at slaughterhouses.

The slaughtering process is widely recognised as a key check point for assessing the health status of farm animals, as well as the effectiveness of strategies implemented by the breeder to prevent or treat disease conditions. Postmortem evaluations at slaughterhouses have become outdated:

Manual recording

Creates a bottleneck in the collection process which requires additional hours of work outside the slaughterhouse: data needs to be transferred digitally to be analysed and shared.

Lack of standardization

Dissimilarities in the assignment of the scores for the severity of lesions between multiple operators.

Partial inspection

On average, less than 15% of all slaughtered animals are inspected to assess certain lesions and small slaughterhouses (as required by law) do not carry out any carcass assessment.

FEATURES

ADAL innovates the whole inspection process by introducing automated quantified risk assessment tools
  • Animal chest and organs inspection

    directly on the production line with computer & camera setup

  • Automated documentation

    provided for robust food traceability

  • Faster and more cost-efficient evaluations

    more animals inspected = more productivity

  • Real-time Data

    accessible on site or anywhere thanks to cloud storage

  • Valuable Data

    to learn how to better manage animals and diseases

  • Better accuracy and double verification

    for safer consumption practices

  • Pay-Per-Unit cost

    and no limits to number of animals analysed

HOW ADAL WORKS

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Phase 1

Installation of the ADAL kit in the abattoir 
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Phase 2

Automated photo capture of the carcasses and their organs at the abattoir
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Phase 3

Images stored at the facility to be either analysed on site or transferred to the cloud
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Phase 4

A real time analysis is performed using artificial intelligence techniques
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Phase 5

Pictures and results will then be available online for consultations or second evaluations to all the stakeholders.
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Phase 6

Farmers can use the analyzed pictures to improve business management for a more sustainable production
ADAL Seal of Excellence official page

ADAL awarded the Seal of Excellence from EU Commission

The Seal of Excellence by the European Commission was awarded to the ADAL project, for its outstanding purpose of innovating a whole industry and grant to the wide public access to a disruptive and cost saving technology: the one of Artificial Intelligence applied to animal health and food safety.

Main partner

The Faculty of Veterinary Medicine at UniTE is an approved Centre of Excellence by the European Association of Establishments for Veterinary Education (EAEVE).

UNITE works with Farm4Trade to certify that the technology developed is up to scientific and industrial standards and to guarantee the annotation of lesions and the scoring systems adopted on both organs and carcasses at the abattoir are compliant with the most recent advancements in veterinary medicine.

PARTNERS

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