The ability to automatically identify objects, such as products or specific items, from within a photo image. Cortexica can segment and identify multiple complex items from within one image. Used for first identification reference, or as a start for a Visual Search.
Leading Vision AI
This approach analyses all objects, perceptual elements, such as settings, colours, patterns and shapes in the image, to provide a summary of the mood, theme or emotion of the image. This is useful for extracting insightful information from a simple image.
Cortexica’s patented technology replicates the human ability to find visually exact and similar matches to an image from a dataset of other images. This requires no training and can be applied to images of any content. Cortexica customises its suite of algorithms for each use case, replicating the most natural way of providing perfect search results.
An extension of Image Analysis, Video Analysis provides revolutionary insights into continuous streams of vision, be it pre-recorded or in real time. With no manual tagging or manipulation, Cortexica’s VA approach opens up the world of interactive video in commerce, training, object and location identification and action recognition for security and health and safety.
AI – One Method Does Not Suit All
Combining our core technologies provides the custom solution you require
Computer Vision Methods
Our patented methods process several visual channels in parallel, such as scale, texture, colour and shape, looking at 1500 points of interest in each image. Depending on our client’s industry we can utilise other techniques. For example, within fashion we can use face/body detection to deliver higher accuracy.
Depending on requirements we utilise different models (RNN & CNN) to learn, detect and categorise. We can even base our models on our clients’ own unique images and metadata, as we firmly believe that one size does not fit all. We then automatically identify and categorise any of our client’s image assets and auto tag their products.
Our technologies can automatically detect and segment the image, automatically apply the right configurations and process a response in under a second.