The theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception and recognition of shapes in Computer Vision, speech recognition and decision-making.
Computer Vision is concerned with the automatic extraction from a single image or video, using human perceptual filters, such as colour, pattern, shape and texture.
The capacity of a computer to learn from experience, i.e. to modify its processing on the basis of newly acquired information.
A branch of Machine Learning based on a set of algorithms.
The process of identifying and detecting a specific object or feature in a digital image or video.
The ability to search immediately using an image, against a database or inventory of images, finding an exact match or perceptually similar elements – without the need for text or data.
Challenge: Reduce operational time and costs for an online company with a large image database for publication.
Action: An end-to-end solution that utilises both the ability and flexibility of our Deep Learning to identify multiple objects in an image and apply a client’s own tags to the characteristics.
Result: The fully automated process removed human error and delivered a fully tagged image to a desktop interface within 300ms.
Challenge: To enhance an Omni-Channel presence.
Action: Leverage the insight and analytics of Big Data gained from online and in-store.
Result: A solution that provides greater insight into customers interaction with the digital elements of your business, with intuitive visual search applications and analytics to assist in forecasting.
Designed to reduce operational time and costs, and provide seamless functions.
With a team of experts covering all key sectors we are able to work on one off projects custom made for our clients needs.
Designed to increase revenues, customer experience and operational efficiencies.