The new age of efficiency
Computer vision mimics human eyes to gather, analyze, and automatically recognizes objects from images.
Start using computer vision today!
Computer vision applications
Computer vision can help to identify, classify and count objects and people. It takes over tedious work and can even provide insightful information from an abundance of image data. Coupled with machine learning, computer vision will be able to outperform human efficiency and accuracy when it comes to the tedious work.
How we help
We will help you build a fast and scalable image recognition platform to suit your needs using computer vision. By using machine learning and your past media data, we can employ feature extraction to provide your machines with tailor-made applications and higher accuracy.
Pixel data diagram. At left, an image of Lincoln; at center, the pixels labeled with numbers from 0–255, representing their brightness; and at right, these numbers by themselves.
Image credit to :
Use cases and benefits
Manage and analyze media content automatically and efficiently
When dealing with images and videos, metadata extraction and image classification can improve efficiency and introduce new opportunities of business
Process control in manufacturing
Improves quality assurance and operational efficiencies in manufacturing, resulting in more reliable and cost effective products
Improved computer-human interaction
Improves customer satisfaction with recommendations based on customer sentiment analysis and faster services with facial recognition during authentication