Today, the use of monitoring systems is widespread in society. However, it is not common to see them in animals.
This end-of-grade work aims to design and implement a wearable system for cows, horses, sheep and goats. Thus, the farmer can know the state of the animals and their location. Taking into account the signs and characteristics that occur in this type of animals in situations of interest, the system has several sensors: a microphone, a temperature and humidity sensor, a gyroscope, an accelerometer, an air quality sensor, a gas sensor to detect diseases and a GPS.
Thanks to the information of these sensors it is possible to know when the animal is sick, has problems walking or even the period of heat of the females and later the time of delivery.
Finally, all data is sent to the farmer to make decisions on the farm, improving the welfare of the animal and increasing its productivity.
For the development of the system, the complete hardware design and implementation was carried out, in addition to the realization of a hardware abstraction layer (HAL) for all sensors.
Obtaining information about the motion of an object has many applications in today’s society. Large industries such as cinema or videogames use motion capture technologies for their development. Motion capture systems collect the information that allows to know the acceleration, speed, orientation and position of an object.
The development of MicroElectroMechanical Systems or MEMS by the end of the 1980s has increased the use of accelerometers and gyroscopes to increase motion capture. That led to the development of Inertial Measurement Units with a small size, resulting from the combination of accelerometers and gyroscopes. This miniaturisation enabled the use in other applications, like augmented reality, 3D animation, navigation, video games and sports . Another of its features that stands out is that it does not need an external reference to be used, resulting in a simpler implementation.
In this graduate thesis, a system has been developed that can collect the data generated by an IMU, store it and then dump it into another system for analysis. Some criteria were needed to be established, so the design is focused on been small and low power consumption. For the development of the system, a hardware design was made, followed by the implementation of the software. Finally, some test were made to evaluate the final result.