Automatic animal detection and deterrent system
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.
1. A method of detecting and deterring a target animal from a target area, comprising:
1) placing the target area within the field of vision of a camera, wherein the camera is connected to a computer processing system;
2) running an animal identification computer program with camera images from the camera to detect a target animal;
3) training the animal identification computer program to identify target animals using a learning algorithm;
4) deploying a deterrent to cause the target animal to leave the target area within 2 seconds from the instant of detection; and
5) repeating step 4) if the target animal has not left the target area after deploying the deterrent,
wherein convolution neural networks and deep learning computer programs with the camera images are used to detect the target animal,
wherein the target animal in the field of view of the camera is verified,
wherein one or more deterrents are armed, and a target location is set, and
wherein the species of the target animal is identified.
2. The method of claim 1 , further comprising recording the target animal with the camera in the field of view of the camera.
3. The method of claim 1 , wherein the deterrent is a sound device, a light device, a spray device, projectiles, or combinations thereof.
4. A method of detecting and deterring a target animal from a target area, comprising:
1) placing the target area within the field of vision of a camera, wherein the camera is connected to a computer processing system;
2) running an animal identification computer program with camera images from the camera to detect a target animal;
3) training the animal identification computer program to identify target animals using a learning algorithm;
4) verifying the target animal in the field of view of the camera;
5) recording the target animal with the camera if the target animal is in the field of view of the camera;
6) arming one or more deterrents and setting a target location;
7) deploying the deterrent against the target animal within 2 seconds from the instant of detection; and
8) repeating step 7) if the target animal has not left the target area after deploying the deterrent,
wherein convolution neural networks and deep learning computer programs with the camera images are used to detect the target animal, and
wherein the species of the target animal is identified.
5. The method of claim 4 , wherein the deterrent is a sound device, a light device, a spray device, projectiles, or combinations thereof.
6. A method of detecting and deterring a target animal from a target area, comprising:
1) placing the target area within the field of vision of a camera, wherein the camera is connected to a computer processing system;
2) running an animal identification computer program with camera images from the camera to detect a target animal;
3) training the animal identification computer program to identify target animals using a learning algorithm;
4) verifying the target animal in the field of view of the camera;
5) recording the target animal with the camera if the target animal is in the field of view of the camera;
6) identifying the species of the target animal;
7) arming one or more deterrents and setting a target location, wherein the deterrent is a sound device, a light device, a spray device, projectiles, or combinations thereof;
8) deploying the deterrent against the target animal within 2 seconds from the instant of detection; and
9) repeating step 8) if the target animal has not left the target area after deploying the deterrent,
wherein convolution neural networks and deep learning computer programs with the camera images are used to detect the target animal.