Supportsoft Glossary

Image Recognition Technology for Visual Intelligence

Image recognition is a technology used for identification and categorisation of people, objects, and patterns in images. This technology is key to computer vision and aids in determining the most useful insights from visual data.

Various industries use image recognition capabilities, including healthcare, retail, manufacturing, and security. Some common ways to use image recognition include face recognition, product identification, defect identification, and document scanning. Image recognition allows users to quickly analyse images quickly and accurately, greatly reducing the amount of time required to perform visual inspections manually.

Image recognition relies on deep learning models trained on large amounts of data to identify visual features. As more data becomes available, image recognition systems continue to improve and offer greater levels of accuracy and flexibility to accommodate large amounts of data being produced at high volume, as well as the need to access that information rapidly.

Within the IT and ITES services sectors, image recognition provides organisations with the capability to automate functions, monitor visual input, and extract data from visual sources. Additionally, image recognition can also work with analytics systems to create insights that help enhance an organisation's decision-making process and the efficiency of their operations.

By providing visual intelligence, image recognition can help organisations increase the speed, accuracy, and scalability of processes that involve working with images.