Visual Recognition
Most relevant technologies and solutions
Image Classifiction
We build fine-grained custom image classifications, which classify if an object exists in an image. Using as few as five reference images, we create a model to classify objects.
Object Detection and Segmentation
Our Algorithms can detect any given object in a video or an image in real-time. We use state-of-the-art deep learning techniques, alongside our developed algorithms to localize and track objects in video and images.
Action Detection
The algorithm is capable of detecting more complicated patterns, such as those that take place through time. For example, we can detect what activity a person is doing, analyze emotion through facial expressions, assume a person’s body pose, and sequence of actions.
Emotion Recognition
Our facial emotion recognition technology has been developed to identify human emotions associated with their facial expressions. Analyzing the movement of facial features and changes in the appearance of facial features, the system instantly codes facial expressions and delivers emotional states.