YapScan: Dog Recognition App

Problem

• Recognizing individual dogs and identifying their correct owners is a difficult task.
• Identifying owners who disown their dogs is also challenging.
• Locating lost dogs can be time-consuming and complex.
• The current method uses microchips and collar tags. It can be removed, lost, or malfunctioning. This makes tracking unreliable compared to a dog identification app.

Solution

We developed an AI-powered Mobile Application where we created:

• Easy Filling process
• Easy Scanning Process
• Quick Matching Process
• Hassle Free Re-union

Implementation Challenges

• Developing a highly accurate dog face recognition algorithm adaptable across breeds and fur patterns.
• Capturing clear facial features despite movement, lighting or angles.
• Ensuring the system can work with everyday smartphones.
• Building a secure database to map each face to the correct owner.
• Maintaining privacy and ethical use of facial recognition for dogs.

Key Features

• AI based face recognition for dogs.
• User-friendly interface for scanning and reporting.
• Real-time alerts when a match is found.
• Integration with shelter databases to simplify ownership verification.
• Offline and cloud-based scanning for flexible usage.
• Ethical and secure handling of dog data via facial recognition for dogs.