It doesn't take long for digital photo libraries to become cluttered and Canon is offering a solution to this with its newest app, Photo Culling. The app leverages artificial intelligence to help users find the best images in a series of similar photos, so that computer vision can quickly assess shots based on factors like sharpness, noise, emotions and closed eyes. With the app, users can choose from Whole Culling, which assigns a score based on the aforementioned factors, or Similar Culling, which organizes similar images into groups.
The app incorporates Canon's computer-vision artificial intelligence engine, PHIL, also known as Photography Intelligence Learning.
The app helps to keep photos organized in a tidy way, and it also offers dynamic albums based on events that happen throughout the year.
AI Photo Album Apps
Canon's Photo Culling App Keeps Photo Libraries Orderly
Trend Themes
1. AI Photo Culling - Canon's Photo Culling app leverages artificial intelligence to help users find the best images in a series of similar photos, creating an opportunity for AI-powered photo organization startups.
2. Computer Vision-based Photography - Canon's computer-vision artificial intelligence engine, PHIL, also known as Photography Intelligence Learning, allows the app to assess shots based on factors like sharpness, noise, emotions and closed eyes, creating an opportunity for computer vision-based photography startups.
3. Dynamic Photo Albums - Canon's Photo Culling app offers dynamic albums based on events that happen throughout the year, creating an opportunity for personalized, event-based photo album startups.
Industry Implications
1. Photography - Canon's Photo Culling app and PHIL technology presents opportunities for disruptive AI-powered photo organization startups in the photography industry.
2. Artificial Intelligence - The use of AI-powered photo culling presents opportunities for innovators in the artificial intelligence industry to develop more advanced algorithms and engines.
3. Software Development - The development of computer-vision artificial intelligence engines like PHIL creates opportunities for software developers to create powerful image analysis and organization tools.