A bat deterrent system to deter bats from approaching wind turbines may include a first deterrent box having a first and second transducer bank. The first transducer bank may include a first set of transducers located on a first plane and a second set of transducers located on a second plane. The second plane may be different from the first plane. The bat deterrent system may also include a second deterrent box having a third and fourth transducer bank. The third transducer bank may include a third set of transducers located on a third plane and a fourth set of transducers located on a fourth plane. The fourth plane may be different from the third plane. At least one transducer may simultaneously emit a different ultrasonic output waveform than the ultrasonic output waveform emitted from another transducer.

Described herein is an autonomous vehicle collision avoidance system designed to detect and deter animals from the road. An automotive deer whistle is integrated into an autonomous sensor suite. The sensor suite detects animals using cameras, identifies them and their hearing range using machine learning algorithms, and deters them by emitting animal-specific sound pulses. The system also notifies the driver, may trigger a braking or honking sequence, adjusts subsequent noise emissions based on animal feedback, and collect data on collisions or near collisions for analysis at a central repository. Also described herein is a business model to encourage consumer adoption of the device, wherein the device is distributed to consumers as insurance policy incentive.

Described herein is an autonomous vehicle collision avoidance system designed to detect and deter animals from the road. An automotive deer whistle is integrated into an autonomous sensor suite. The sensor suite detects animals using cameras, identifies them and their hearing range using machine learning algorithms, and deters them by emitting animal-specific sound pulses. The system also notifies the driver, may trigger a braking or honking sequence, adjusts subsequent noise emissions based on animal feedback, and collect data on collisions or near collisions for analysis at a central repository. Also described herein is a business model to encourage consumer adoption of the device, wherein the device is distributed to consumers as insurance policy incentive.

The invention relates to a method for electronically controlling the power supply to a multi-phase motor, said method comprising: supplying at least one phase of the motor with a suitable first periodic or pseudo-periodic electrical signal such that the electric motor and/or a structure linked to the motor emits a first sound signal, the above-mentioned first signal being supplied while a rotor of the motor is maintained immobile relative to a stator of the motor.

The invention relates to a method for electronically controlling the power supply to a multi-phase motor, said method comprising: supplying at least one phase of the motor with a suitable first periodic or pseudo-periodic electrical signal such that the electric motor and/or a structure linked to the motor emits a first sound signal, the above-mentioned first signal being supplied while a rotor of the motor is maintained immobile relative to a stator of the motor.

An insect suppression device, and further relates to a self-moving device, a charging station, and an automatic working system that are mounted with the insect suppression device are provided. The self-moving device moves in a working area, performs a working task, and includes: a body and a movement module that is mounted on the body and drives the self-moving device to move. The self-moving device includes: an insect suppression device, mounted to the body, and a control module, controlling the movement module to move and controlling the insect suppression device to work. The beneficial effects of the present invention are as follows: The self-moving device can move autonomously in the working area and perform an insect suppression task, and has a wide coverage area, flexible work, and high efficiency, so that automatic control can be implemented, thereby freeing a user from the harassment of insects.

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.

The invention discloses a method of operating a system for neurofeedback (NFB) that includes trained animal in a feedback chain. Feedback chain consists of the following steps:

A->B->C->D->A wherein said steps are: A. real time recording of the subject's EEG performed by the user module and forwarded to the mobile module; B. analytics of the recorded signal performed by the mobile module and algorithmic decisioning about the stimulation form; C. forwarding the stimulation towards the animal by using of one or more ultrasonic speakers simultaneously wherein the information needed for the animal performance is forwarded in the form of a coded ultrasonic signal; and D. performing of a learned action by the animal triggered by the received ultrasonic signal from the step C which provides a stimulus to the subject exposed to the NBF training.

One general aspect includes a method of animal detection and warning, the method including: detecting, via a processor, a presence of an animal in an area beneath a vehicle; and when the presence of an animal is detected in the area beneath the vehicle, warning, via the processor, the animal to vacate the area beneath the vehicle. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.