Time Camera

The Time Camera utilizes artificial intelligence technology, especially generative adversarial networks, to showcase the changes in an individual's appearance from youth to old or from old to young. It is widely used in fields such as personal memory recording, family photo albums, social media, and film and television production.

The unit is designed for unsupervised public use: controls are recessed or shielded, moving parts are enclosed, and the interface is operable by a child of about six with no instruction. Where a screen is used, the language can be switched without changing the hardware, and the content can be replaced on site.

The ability of AI to display rejuvenation or predict aging mainly relies on an important technology in artificial intelligence - Generative Adversarial Networks (GANs). GAN consists of two neural networks: a generator and a discriminator. The generator is responsible for generating various images, while the discriminator is responsible for determining whether the generated images are real. The generator will adjust the non important feature points in the photo based on the facial features in the photo, combined with other image information in the database, to generate a new face. For the rejuvenation effect, the generator may reduce facial wrinkles, smooth the skin, change the shape of the eyes and mouth, etc; For the effect of predicting aging, the generator may increase facial wrinkles, change skin texture, adjust the shape of eyes and mouth, etc.