Computer vision enables computers to see, identify and process images in the same way that human vision does, therefore performing the same kind of tasks as humans with better efficiency.

Machine Learning: the practice of using algorithms to analyze data, learn from it and then make a determination or prediction about something in the world.

Deep Learning: basically, a more evolved Machine Learning. There are multiple levels to process features, and generally, each layer extracts some piece of valuable information.

Machine learning and deep learning are inspired by the structure and function of the brain, namely the interconnection of many neurons.

Neural networks are algorithms that mimic the biological structure of the brain.

Our solutions use Convolutional Neural Networks (ConvNets or CNNs). ConvNets are a category of Neural Networks that have proven very effective in areas such as image recognition and classification. We use CNN to identify the characteristic elements of video content such as objects, actors, places, emotions and so on.