CamFind for iPhone

by Jun 2, 2016iPhone App Reviews0 comments

CamFind for iPhone is the world’s first successful mobile visual search engine which professionally permits you to search for anything from your mobile phone just by taking a picture. It is also referred as a visual search app that could identify, define and even shop for nearly any object you could snap with your digital camera.

Recently it has effectively launched an upgrade that would put you in touch with your fellow searchers. An update with beneficial features illustrating a new social network function that not only permits you to photograph the objects around you but also allows you to share that physical environment with others in the app’s real time image feed. This qualitative presentation allows global users to interact with photos by starring the images they like or liking favorites with a heart.

CamFind for iPhone

The Live feed which actively allows you to scan photos in real time from a universe of users globally, while the popular image feed permits you to view the most popular images ones that received the most hearts or stars. The users could also save images taken with the app’s camera, if you select.

CamFind was already beneficial app which is able to identify anything from landmarks to movie posters, and even particular dog breeds, all from a smart phone photo, with passionate users instantly receiving respective web results.

The southern California organization also recently launched their own public CloudSight API, which specializes in analyzing images to help with searching. Both app and API employ deep learning, a popular technology which actively learns over time and from its mistakes by simulating specific brain functions.

CamFind for iPhone

Altogether the CamFind Inc. is a Los Angeles-based tech firm that specializes in image recognition and mobile visual search. Their positive mission is to deliver the most superior mobile visual search solution to people around the globe, and to become the world leader in image recognition and mobile visual search.