According to the company, the deep learning models learn to analyze defects with consistency and accuracy, having examined extensive real-world image data to determine and predict the overall quality of a product.
The Amazon AWS DeepLens is like the Rasberry Pi for computer vision, a learning tool to teach developers imaging-based artificial intelligence. The camera comes pre-equipped with several A.I. infrastructures.
Snapchat filters are getting easier to find now that the app uses object recognition to make suggestions based on what's in the photo. The feature works with pets, food, beaches, and sports, with additional categories expected.
With Pika, kids go on a scavenger hunt, all while teaching an A.I. program how to recognize each of the primary colors. The idea is based on research that suggesting teaching others helps kids build their own skills and confidence.
Sure, AI allows for photo searches, but what if you don't want to store photos on the cloud? Pholio is a hardware-based AI solution that allows you to search for photos, discover old images and backup files, offline or online.
Pets are members of the family too, right? Google Photos can now automatically tag individual pets and search by breed. The update uses enhanced computer vision powered by machine learning to recognize different pets.
Google Pixel 2 owners can snap a photo to skip typing in that address or learn more about that movie on the poster with Google Lens. A preview of the computer vision program ships with Google's new smartphone.
At its 2017 I/O conference, Google demonstrated how far its research in computer vision has come. The company unveiled Google Lens, a sophisticated image recognition technology that lets you analyze what the camera sees.