Computer Vision is bringing a New Shine to the Enterprise, and an Awesome Beginning has just Started!

The ability to see, process and then act on visual input is something very difficult to replicate in machines, this is exactly what computer vision (CV) aims to do. Letting machines see like humans do, when machine learning and deep learning algorithms are applied to CV, this technology can mimic human vision functions to identify, process and analyse images, videos helping companies with unprecedented insights and unlocking new service opportunities.

The rapid growth in computer vision has caught the attention of the C-suite with them investing billions of dollars in computer vision research and product development. Many MNC's include security cases, for instance detecting human faces with startling accuracy. Where It can detect traffic movements in the highway; and retail companies can let their customers search for a pair of jeans which their favourite celebrity is wearing simply with an image upload.

Using cameras and incorporating other sources of data, It can collect vital information about the most important aspects of a company's operations which include a combination of people, products, assets, and documents forming the backbone of the processes. Computer Vision works when enterprises collect digital images and apply deep learning algorithms to accurately identify and classify objects by reacting to what they 'see' with their machine eyes.

Computer Vision is hugely popular in amassing intelligence from documents, products and multi-dimensional products. Here is how it works on these documents-

Computer Vision and Document Intelligence

The digitisation of physical documents in an enterprise is critical. While it must be understood that much of the documents are unstructured coming from invoices, receipts, handwritten notes or contracts. Where traditional (object character recognition) technology has limited application from image-based documents. Here computer vision can accurately detect and narrow down target objects to deliver key insights which may take years to uncover.

Computer Vision and Product Intelligence

It driven Product Intelligence is behind retail businesses, including supermarkets to create a seamless shopping experience removing the need to physical checkouts and subsequently the waiting in line time. In the US, Amazon Go employs computer vision enabling a unique kind of shopping experience, using cameras powered by In that recognise shoppers and, track them through the store, and even know which account they are linked to, and record which products are placed in their bag with the highest degrees of accuracy.

Multi-dimensional image intelligence using Computer Vision

It is hugely used in radiology, the current AI solutions aid radiologists to diagnose diseases from CT scans, X-rays and MRI. MaxQ AI, for example, offers a solution which deploys computer vision to help medical professionals identify rare anomalies in brain scans to suggest preventive and prescriptive treatment options.

Summing up, when companies attempt to harness emerging technologies like computer vision, they embark a step forward to digital transformation. Research and development are a critical component to developing successful CV solutions. Ultimately, the crux is to ensure that enterprises are armed with all the necessary tools before diving in and implementing CV to achieve the potential value from this amazing technology.