Objective
Criminal activities associated with horse and ponies are widespread across Europe. Horses and ponies are principally identified by a paper based ‘passport’, and/or micro-chip, or branding. Passports are hand written and therefore prone to error, falsification and fraud. They can easily be ‘recycled’ from dead animals allowing contaminated horsemeat to enter the human food chain. Likewise, micro-chips can easily be removed or cloned. Purchasers of equidae have little assurance that ‘their animal’ is the one in the passport.
Equine Register Ltd. are developing an exciting new equine identification method for vets, government agencies, welfare organisations and horse owners - EQR-Equid. Our solution uses an inclusive secure, remote-access data system underpinned by smart behavioural pattern recognition algorithms, that can automatically identify disease spread, criminal activity, missing animals and compliance issues. Via an intuitive interface, EQR-Equid allows equine sector stakeholders to identify and track an animal securely from anywhere, at any time, whilst enabling enforcement agencies to target their resources. EQR-Equid’s accuracy, connectivity and immediacy will deliver increases in animal welfare, animal value, compliance and data confidence whilst reducing the opportunity for fraudulent activity.
The objective of our overall innovation project is to develop EQR-Equid for sale to those involved in the trade, enforcement, and welfare of equidae. The specific objectives of our Phase I project are to carry out a feasibility study to enable us to create a clear path for market replication. Our sales forecast shows a projected turnover of €6.3m by 2023, 5 years after launch. The revenue will allow us to extend the concept to other animals, and grow Equine Register Ltd. as an SME.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesdatabases
- engineering and technologymaterials engineeringcolors
- natural sciencesbiological sciencesgeneticsDNA
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
- natural sciencescomputer and information sciencesartificial intelligencepattern recognition
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Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
GL7 1QA CIRENCESTER
United Kingdom
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.