The aim of the project is to investigate how far current technology is capable of going in terms of hardware (processing, communications, image capture sensors), image processing algorithms (based on Deep Learning and Edge Computing contemplating approaches for optimisation), intelligent information management (using IoT protocols and technologies such as NB-IOT and/or LoRa), remote monitoring of equipment (consumption, characterisation of devices, detection of theft, etc.), microgeneration systems for the correct supply of energy to electronic elements, and hybridisation procedures for all these components, all applied to a use case for the conservation of biodiversity in isolated environments. ), microgeneration systems for the correct supply of energy to the electronic elements, and hybridisation procedures for all these components, all applied to a use case for the conservation of biodiversity in isolated, remote and potentially hostile environments, although the results will be directly extrapolable to other fields in which highly efficient image processing capacities are needed, in real time and with minimum energy consumption, such as industry or security.