Streaming and static image recognition
Deep Learning-powered image recognition is now performing better than human vision on many tasks.
The human sense of vision is unbelievably advanced. Within fractions of seconds, we can identify objects within our field of view, without thought or hesitation. But not only can we name objects we are looking at, we can also perceive their depth, perfectly distinguish their contours, and separate the objects from their backgrounds. Somehow our eyes take in raw voxels of color data, but our brain transforms that information into more meaningful primitives – lines, curves, and shapes – that might indicate, for example, that we’re looking at a can of Coke.
Given images, as static files or as a video streams, the AI Vision solution detects the genre and the age range of any individual with high accuracy.
AI Vision solution classifies image content according your specific needs (subjects or objects) and locates them within the image plane. It does not matter if they are static files or video streams.
From coins, boxes or waste packages, up to shoppers, product shelves or showcases, there are many industrial and retail processes radically improved applying object counting per class with our AI Vision solution.
Computer vision algorithms based on machine learning can learn from a set of product samples to distinguish the “good” samples from the flawed ones.
There is one type of search query that is very explicit and specific – a visual similarity search. Find visually similar products based on image samples and obtain a collection of very relevant results.