It is often said that pets can look like their owners and the Fetch platform takes this concept to new digital heights with a facial-recognition app that matches photos of consumers to the dog breeds they resemble. The app relies on a set of algorithms to match features such as face shape, hair and eyes to similar looking dogs to pull up a close enough match.
The Fetch app is designed to be used for amusement and social sharing, allowing consumers to send in photos and instantly receive a matching for the dog breed they resemble most. The results very much depend on the photo sent in as alterations to facial expression and hairstyles can greatly effect the results.
The app has already explored testing out celebrity and well-known personalities matches such as Ellen Degeneres and Jane Goodall.
Canine Facial-Recognition Apps
The Fetch Platform Scans Images to Human Faces to a Dog Breed
Trend Themes
1. Canine Facial-recognition - Canine facial-recognition technology can be used for amusement and social sharing, matching consumers' facial features to resemble a specific dog breed.
2. Algorithmic Matching - Using algorithms to match facial features like face shape, hair, and eyes, this technology can pull up close matches between humans and dogs.
3. Celebrity Matches - The app has the potential to match celebrities and well-known personalities to dog breeds, creating fun and engaging content for users.
Industry Implications
1. Pet Tech - The pet tech industry can incorporate facial recognition technology to provide pet owners with personalized dog breed recommendations based on their facial features.
2. Social Media - Canine facial-recognition apps can enhance social media platforms by allowing users to share amusing and personalized content related to their facial resemblance to specific dog breeds.
3. Entertainment - The entertainment industry can utilize facial recognition technology to create engaging and interactive experiences, such as matching celebrities to dog breeds for entertainment purposes.