The Equinity Vision system observes the brood mare (or any other horse) and creates a model based on the behaviour of that animal. This model allows the system to detect when foaling is imminent or any other behavioural abnormalities. In order to do this, it focuses on the analysis of three basic parameters:
- mobility – the system registers how an individual moves. Whether it is moving quickly, slowly, violently or is still. The data is then compared with previous behavior and verified if there have been any changes.
- respiratory rate – our team was able to prepare algorithms that allow the system to observe the number of breaths per minute automatically using the camera image, without human intervention or the need to install additional sensors. The ability to detect changes in the number of breaths per minute provides valuable diagnostic information.
- animal posture – in addition to the above parameters, we can also detect whether the horse is standing or lying down. The above results, obtained continuously when the horse is in the stable, allow the system to build an accurate model of behavior, typical for that specific individual.
The combination of the above results, obtained continuously throughout the time when the horse is in the stall, allows you to build an accurate model of behavior typical of a particular individual. Thanks to this, we are able to detect the moment when delivery is approaching, or when something disturbing happens and the horse needs human help.
