In a first aspect, the embodiments of the invention provide a surveillance system for a wind park comprising a detection system configured to detect flying birds and issue a detection signal; one or more drones; and a control system configured to command one or more of said drones to be deployed based on the detection of birds flying in the vicinity of the wind park. The invention extends to a wind park comprising a plurality of wind turbines and a system as defined above. The invention also embraces a method of operating a surveillance system in a wind park, comprising scanning a geographical area proximal to a wind park using a surveillance system for the detection of birds; on detecting the presence of birds in the vicinity of the wind park, automatically commanding the deployment of one or more drones to act as a deterrent to the detected birds.

In a first aspect, the embodiments of the invention provide a surveillance system for a wind park comprising a detection system configured to detect flying birds and issue a detection signal; one or more drones; and a control system configured to command one or more of said drones to be deployed based on the detection of birds flying in the vicinity of the wind park. The invention extends to a wind park comprising a plurality of wind turbines and a system as defined above. The invention also embraces a method of operating a surveillance system in a wind park, comprising scanning a geographical area proximal to a wind park using a surveillance system for the detection of birds; on detecting the presence of birds in the vicinity of the wind park, automatically commanding the deployment of one or more drones to act as a deterrent to the detected birds.

A system and method for driving geese away from an area employs predetermined random illuminations of particular wavelength light directed in a fashion that repels geese while avoiding annoying humans. Embodiments include systems associated with golf course flags and other structures and animal decoys that hide undesired aesthetic appearances of prior art industrial lighting elements. Other embodiments employ adjustable/movable mirror elements used in conjunction with systems powered by solar energy panels positioned below the light source, which can be adjusted in terms of direction, shielding, color, duration, wavelength and pulsation, providing a variety of random patterns so as to avoid habituation by geese.

A system and method for driving geese away from an area employs predetermined random illuminations of particular wavelength light directed in a fashion that repels geese while avoiding annoying humans. Embodiments include systems associated with golf course flags and other structures and animal decoys that hide undesired aesthetic appearances of prior art industrial lighting elements. Other embodiments employ adjustable/movable mirror elements used in conjunction with systems powered by solar energy panels positioned below the light source, which can be adjusted in terms of direction, shielding, color, duration, wavelength and pulsation, providing a variety of random patterns so as to avoid habituation by geese.

Systems and methods for chasing birds and other unwanted pest animals from a particular area. A robot system is used to relocate a pest deterrent in an area where a pest has been identified. The robot is programmed to move toward the pest animal within a geofenced area until the pest animal leaves the geofenced area. Robots (either ground based or flying robot drones) are programmed to move pest deterrent systems from one area to another to not allow a pest to become accustomed to the system. Two or more robots can be used in cooperation to adopt a complex strategy in chasing birds and other unwanted pest animals from a particular area.

Systems and methods for dispatching pest animals such as birds, rodents and other predefined pest animals from a particular area using computer vision and artificial intelligence to identify the pest and machine learning to continuously improve the system. The system is set to continuously monitor its predefined area for motion and an electronic system is used to collect electronic representation of an intruder and submit the representation to the system for processing. Based on the results of its identification, the system will make an intelligent decision as to whether to activate the dispatch mechanism.

Systems and methods for effectively repelling pest animals (e.g., birds), including drones that adopt complex deterrent strategies (e.g., cooperative strategies), establishing a fuzzy boundary for a geofenced area and altering pest deterrent device flight patterns based on the characteristics of the fuzzy boundaries. Deterrence strategies can be selected based on the type of pest animals, and new deterrence strategies can be generated based on outcome feedback from previous strategies (e.g., combining aspects of preexisting deterrence strategies by utilizing an AI system). Drones can be automatically maintained by comparing current drone operational status with a predetermined threshold level. A maintenance robot (e.g., a drone) can autonomously rescues a working robot (e.g., another drone) that is in trouble.

Systems and methods for effectively repelling pest animals (e.g., birds), including drones that adopt complex deterrent strategies (e.g., cooperative strategies), establishing a fuzzy boundary for a geofenced area and altering pest deterrent device flight patterns based on the characteristics of the fuzzy boundaries. Deterrence strategies can be selected based on the type of pest animals, and new deterrence strategies can be generated based on outcome feedback from previous strategies (e.g., combining aspects of preexisting deterrence strategies by utilizing an AI system). Drones can be automatically maintained by comparing current drone operational status with a predetermined threshold level. A maintenance robot (e.g., a drone) can autonomously rescues a working robot (e.g., another drone) that is in trouble.

An avian detection system for determining risks of collision between a collision object and bird objects includes avian radar system(s) providing a first type of information data relating to objects detected, and a transponder receiver receiving transponder data transmitted or broadcasted by transponders provided at the collision objects. Processors are configured to receive first type of information data corresponding to the detected objects and provide radar plots. The processors are further configured to receive the transponder data and provide transponder plots, to create and store a number of object tracks based on the provided radar plots and transponder plots, with each track holding object data corresponding to or determined from data of matching plots, and to determine one or more risks of collision or collision risk levels for the collision object based on object data of a plurality of the obtained object tracks.

An avian detection system for determining risks of collision between a collision object and bird objects includes avian radar system(s) providing a first type of information data relating to objects detected, and a transponder receiver receiving transponder data transmitted or broadcasted by transponders provided at the collision objects. Processors are configured to receive first type of information data corresponding to the detected objects and provide radar plots. The processors are further configured to receive the transponder data and provide transponder plots, to create and store a number of object tracks based on the provided radar plots and transponder plots, with each track holding object data corresponding to or determined from data of matching plots, and to determine one or more risks of collision or collision risk levels for the collision object based on object data of a plurality of the obtained object tracks.