Computer Vision Development Services

What is Computer Vision development services?

Computer vision enables machines to recognize and identify objects on images and in videos as humans do, but with higher efficiency and better speed. Useful data can be extracted, captured and analyzed from image or video automatically. There are a lot of data formats to be processed, including casual images, videos or camera views, and even three-dimensional data.

Safety and security
Image and facial recognition allows you to identify persons of interest in seconds. This allows the crime determination process to become faster, safer and more reliable.
Authentication and enhanced computer-human interaction
Improved computer-human interaction provides better customer experience. There are services based on customer sentiment analysis in retail or quick authentication services based on customer identity and preferences in banking.
Content management and analysis
The revenue opportunities are highly improved by using computer vision technologies for data extraction and classification of images.
Autonomous driving
Computer vision technologies allow to make self-driving cars safer by improving the navigation system. So it lets to make self-driving cars commonly used.
Medical imaging
The speed, quality, and accuracy of the patient's medical diagnosis can be greatly improved by implementing computer vision technologies.
Manufacturing process control
Quality assurance and operational efficiencies in manufacturing applications can be improved after using computer vision technologies.

The Computer Vision expertise:

Face recognition / detection

It is possible to analyze faces in the pictures, using such attributes as age, gender and even pose and smile.

Emotion analysis

Emotions can be monitored too. Analyzing the faces in real-life situations one can detect the feelings of the clients.

Video analytics

The popularity of video content continues growing so manual monitoring becomes too resource-consuming. This is where computer vision comes in handy, allowing you to analyze the video in real-life situations.