Computer Vision Computer Sight
by: FineLineLabs • 86
COMPUTER VISION is an advanced Object Recognition App. Take a picture of an object, and COMPUTER VISION will tell you what it is.
Computer Vision. Image Recognition Technology (IRC).
Take a picture of a car... COMPUTER VISION will tell you the make and model of the car. Take a picture of a foreign t-shirt label... COMPUTER VISION will tell you the brand, and where the shirt is from. Take a picture of a tree... a ball... a person... the results are endless.
This application works very well, particularly with vehicles, products, brands, and well-known "things".
Also, it's AMAZING taking pictures of friends! I took one pic and my friend made a funny face. COMPUTER VISION showed a thought process that made us LAUGH! Then it guessed her as "Creepy Kid".. it also guesses celebrity names.
Software that does this is usually only available to government agencies and research facilities.
Enjoy, and learn with it:) Ideal for visually impaired persons. Ideal for identifying vehicles or other manufactured items including computers, phones, or anything you would like a name for, a make or a model:)
Computer Vision is a method of processing and analyzing information contained in images, in a way that is meaningful. Artificial Intelligence has worked for decades to create algorithms that are capable of this. Duplicating the human ability of vision by electronically perceiving and understanding an image, an Android Phone now becomes a cutting edge tool with great power.
With the aid of geometry, physics, statistics, and learning theory, computer vision can help computers, robots, and devices with tasks such as inspecting objects, comprehending the world around them, and making sense of the information.
As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images. The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data from a medical scanner.
This Computer Vision app applies theories and models to the construction of computer vision systems.
Examples of applications of computer vision include:
Controlling processes, Navigation, Detecting events, Organizing information, Modeling objects or environments, Interaction, and Automation.
The future of computer vision includes scene reconstruction, event detection, video tracking, object recognition, learning, indexing, motion estimation, and image restoration.