What is Computer Vision (CV)?

Computer vision is an area of machine learning dedicated to interpreting and understanding images and video. It is used to help teach computers to “see” and to use visual information to perform visual tasks that humans can.

Computer vision models are designed to translate visual data based on features and contextual information identified during training. This enables models to interpret images and videos and apply those interpretations to predictive or decision making tasks.

Although both are related to visual data, image processing is not the same as computer vision. Image processing involves modifying or enhancing images to produce a new result. It can include optimizing brightness or contrast, increasing resolution, blurring sensitive information, or cropping. The difference between image processing and computer vision is that the former doesn’t necessarily require the identification of content.

The applications

With computer vision and deep learning in combination. Autonomous drive, object detection and algorithms simulate how a human brain might construct and make decisions. Technology has made progress toward complex decision making and real-time execution. From smart automation to electrical self-driving vehicles, manufacturing quality inspection and object recognition, counting and tracking are applicable to several industries. This more than IoT devices does. A little different from just being a coding firm. We design and custom build devices and assist in the coding of your platform if this is your future product in mind.