The present application discloses a bird-repelling method, a bird-repelling apparatus, and a bird-repelling system. The bird-repelling method includes steps of: controlling a light-emitting device to emit blue light; controlling a sound producing device to emit sound waves; and repelling birds by the bird-repelling apparatus integrating blue light irradiation and sound wave emission. The blue light bird-repelling mode and the sound wave bird repelling mode complement each other. Light waves and sound waves generate a resonance effect, which can repel birds more effectively without causing harm to humans or birds. The present application can be widely applied to various fields requiring bird repelling, such as aviation, high-speed railways, electric power, agriculture, and the like.

The present disclosure describes a system which is able to detect and recognize wildlife, and in particular birds, using camera images. The present solution is comprised of algorithms, software and integrated hardware devices. Properly equipped, the system can be made to be portable and can be set up at any location for different wildlife detection and repelling purposes.

The present disclosure describes a system which is able to detect and recognize wildlife, and in particular birds, using camera images. The present solution is comprised of algorithms, software and integrated hardware devices. Properly equipped, the system can be made to be portable and can be set up at any location for different wildlife detection and repelling purposes.

The present disclosure concerns a modular bird dispersal system, comprising: a photonic beam module having a light source to generate an output beam, the photonic beam module further comprising a control unit for controlling the light source. The system further comprising a receiving module having a physical connector, for reversibly connecting to a matching counterpart connector on the photonic beam module, wherein the physical connector and matching counterpart connector are arranged to, when connected: align the photonic beam module within a pre-defined position; electrically connect a plurality of spaced connection pads with matching connection pins to form electrical connection between the photonic beam module and receiving module; and at least partly dissipate heat generated by the light source to the receiving module.

The present disclosure concerns a modular bird dispersal system, comprising: a photonic beam module having a light source to generate an output beam, the photonic beam module further comprising a control unit for controlling the light source. The system further comprising a receiving module having a physical connector, for reversibly connecting to a matching counterpart connector on the photonic beam module, wherein the physical connector and matching counterpart connector are arranged to, when connected: align the photonic beam module within a pre-defined position; electrically connect a plurality of spaced connection pads with matching connection pins to form electrical connection between the photonic beam module and receiving module; and at least partly dissipate heat generated by the light source to the receiving module.

This disclosure provides a method of detecting and deterring a target animal from a target area. A target area is positioned within the field of vision of a video camera connected to a computer processing system. An animal identification computer program using convolution neural networks and deep learning computer programs and camera images rapidly detects a target animal. The animal identification computer program is trained to identify target animals accurately using a learning algorithm and related machine learning technology. The time to deploy a deterrent against a target animal from the instant of detection is 2 seconds or less so that little or no time is available to the target animal to damage the target area.

This disclosure provides a method of detecting and deterring a target animal from a target area. A target area is positioned within the field of vision of a video camera connected to a computer processing system. An animal identification computer program using convolution neural networks and deep learning computer programs and camera images rapidly detects a target animal. The animal identification computer program is trained to identify target animals accurately using a learning algorithm and related machine learning technology. The time to deploy a deterrent against a target animal from the instant of detection is 2 seconds or less so that little or no time is available to the target animal to damage the target area.

An ultrasonic dog repeller with two ultrasonic emitters comprises a housing (1) formed with a part cavity, a front support (2) clamped in the part cavity, a main board (3) clamped on the front support (2) and provided with a battery (4), and an ultrasonic head clamped on the front support (2), provided with a pair of ultrasonic emitters (5) capable of emitting in-phase ultrasonic sounds, and electrically connected to the main board (3). According to the ultrasonic dog repeller with two ultrasonic emitters, ultrasonic waves emitted by the two ultrasonic emitters (5) are superimposed, so that compared with the prior art, the ultrasonic waves can be transmitted farther by users, and the two ultrasonic emitters (5) are protected from being burnt out.

An ultrasonic dog repeller with two ultrasonic emitters comprises a housing (1) formed with a part cavity, a front support (2) clamped in the part cavity, a main board (3) clamped on the front support (2) and provided with a battery (4), and an ultrasonic head clamped on the front support (2), provided with a pair of ultrasonic emitters (5) capable of emitting in-phase ultrasonic sounds, and electrically connected to the main board (3). According to the ultrasonic dog repeller with two ultrasonic emitters, ultrasonic waves emitted by the two ultrasonic emitters (5) are superimposed, so that compared with the prior art, the ultrasonic waves can be transmitted farther by users, and the two ultrasonic emitters (5) are protected from being burnt out.

A device for interfering with the optical navigation capability of an organism moving in air, comprising at least a detector, a projector and a control device connected to the detector and the projector, which is characterized in that using the detector a biological feature of an organism may be identified by way of at least a signal, wherein the control device then determines the trajectory of the organism and, in dependence on the species and trajectory of the organism, indicates a light pattern, which may be projected using the projector.