Currently animal tracking and recognition devices such as ear tags, boluses and RFID chips,
require a great amount of hardware devices and sensors.
Traditional devices can be removed and disputes occur, if the animal is recovered.
Handling errors during transport operations
The devices may promote stressful life long conditions to both livestock and pet animals.
Lost opportunity to learn how to better manage animals
Devices require specialized hardware, effort to install, and continuous maintenance
Altering animals physically, created exposures for infections which jeopardizes animal welfare.
Cattle Heads
Biometric Identification
The biometric identification system integrated with the national registry is a powerful tool that can ensure the unique identification of the individual and provide all the personal and health data associated with it
With the app, photo scan or upload a photo the animals face and register or associate the animal with an ID number.
With the app, photo scan the animal’s head, and the system will process the imagery and auto-match animal ID to access an animal’s profile on demand.
Phaid technology is completely contactless. All you need is a smartphone to take pictures.
Most robust and contactless method to avoid theft, frauds and identity exchanges with biometric AI accuracy
No hardware maintenance fees. The free app in combination with a fixed licensing fee is cost efficient thought the points in the supply chain.
Easily access or register the animal ID profile instantly from anywhere with the the SnapAnimal App
Valuable georeferenced is mass data captured for monitoring animal welfare, epidemiology studies and productivity Improves the ability to control infectious diseases and prevent their spread.
It has become increasingly necessary to develop technological solutions that ensure a better ability to identify and track animals and their products to ensure timely planning of development and control strategies of the entire agri-food chain and it is crucial for health, safety and efficiency.
Started in 2017
TRL 9
Italian and U.S. Patents
Extend the identification to other species such as horses and dromedaries.
The research and development activity is carried out in collaboration with the AImageLab, Department of Engineering “Enzo Ferrari” of the University of Modena and Reggio Emilia, which is already well known as an International pole of excellence in computer vision and artificial intelligence.
The IZSAM has shown great interest in our project. This important investment will allow us not only to apply artificial intelligence to animal identification but also to integrate our technology with the national cattle register.
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