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Wildlife Species Identification System

Design a computer vision system that identifies wildlife species from camera trap images in nature reserves.

Scenario: A conservation group deploys motion-triggered cameras across a national park. Each camera captures thousands of images weekly. Rangers spend hours manually reviewing photos to catalog sightings.

Your Task: Design the pipeline that automatically identifies animal species from camera trap photos.

Your design should address:

Handling nighttime images captured with infrared illumination
Filtering out false triggers (wind, rain, shadows)
Identifying species with partial visibility or occlusion
Logging sightings with timestamps and GPS coordinates

Think about: Classification architectures, handling class imbalance for rare species, and daytime vs nighttime IR images.

Design Mode

📝 Your Design Approach

Describe your system design approach. Consider components, data flow, and key decisions.

🎯 Design Questions(Select all that apply)

Q1.What is the best approach for handling class imbalance in rare species detection?

Q2.Which architecture is most suitable for classifying images from infrared camera traps?

Q3.How should the system handle motion blur and low-light conditions common in camera trap images?

Q4.What strategy best handles species that look similar (e.g., different deer species)?

0 of 4 questions answered

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