Signed in as:
filler@godaddy.com
Signed in as:
filler@godaddy.com
1. Data Input
--Camera sends images or video streams to the software.
--Motion sensor detects movements and triggers image capture.
2. Image Analysis
--AI model analyzes the images to detect animals using trained classifiers.
3. Animal Identification
--System identifies types of animals based on the features in the images (size, shape, behavior).
4. Response Decision
--Based on animals’ types and proximity, the software selects a corresponding response (laser, sound, or odor).
5. Action Execution
--The appropriate deterrent is activated (laser shot, sound emitted, or spray triggered).
6. Machine Learning (ML)
--Feedback from the effectiveness of the response is logged and used to retrain the model for future interactions.
identify animals approaching, and activate voice warming system to keep them away.
identify animals approaching, and activate flashlight warming system to keep them approaching.
System can also activate sprays to keep animals from approaching, odors of sprays can be automatically adjusted according to animals’ sensitivity;
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