Augmented Reality (AR) technology allows you to overlay images, videos and other digital information in a real-world physical environment. AR is one of the building blocks for Industry 4.0 and a key enabler of the ‘digital twin’ concept. AR helps in delivering the Digital twin by creating virtual models of a product, process or service. Artificial Intelligence when combined with AR presents a powerful combination of technologies to unleash worker productivity, improve safety and infinite possibilitiesSolutions / Digital Library
Augmented Reality is a technology that is used to merge virtual information with the physical environment inreal-timeDownload PDF
Virtual Reality (VR) is the use of computer technology to create a simulated environment. Unlike traditional user interfaces, VR places the user inside an experience. Instead of viewing a screen in front of them, users are immersed and able to interact with 3D worlds
Using our AI-embedded system, manufacturing professionals, skilled workers and corporate enterprises can train and perfect their skills in a real-life, no risk environment with our customizable and convenient training platform. It's cost-effective for our customers to practice their skills and save time long-termSolutions / Digital Library
Face recognition technology can detect people’s faces in live video streams or video footage and store anonymous information for each appearance of a person in front of a camera. Analysis of this information over time allows the software to compute people count, demographical information, people movement in time and space, and to detect frequent visitors and crowds. The analysis of traffic patterns and demographical statistics can provide businesses with precise visitor data to make interior design, advertising placement, staffing and other operational decisionsmore about Face Recognition
We develop Face recognition applications for enterprise customers using state-of-the-art deep learning technologies for image processing, computer vision, and pattern recognitionDownload PDF
Machine vision (MV) technology is used to provide imaging-based automatic inspection and analysis for such applications as automatic inspection, process control in industrial automation environments. A common output from automatic inspection systems is pass/fail decisions. These decisions may in turn trigger mechanisms that reject failed items or sound an alarmSolutions / Digital Library
Machine vision is the automatic extraction of information from digital images for process or quality control.