AUGMENTED REALITY FRAMEWORK Augmented Reality is an evolving technology which has discovered interest and adoption from numerous industry segments for numerous purposes for example enhancing company processes, employee instruction, real-time decision generating by way of virtual prototyping, visualization of content, and so forth. Aricent has developed create augmented reality app that is a software framework for building different implementations of Augmented Reality (AR) which include visual overlay applications, independent solutions for 3D image reconstruction and extended frameworks for image processing on common mobile platforms, for enterprises cutting across different domains like, but not restricted to, Manufacturing, Healthcare, Fitness and Sports, Media and Entertainment, Automotive, and so forth. Augmented Reality Framework (ARF) enables clients to quickly deploy AR applications/solutions. Our option requires advantage of technologies such as mobile devices, image training and detection algorithms to detect and augment objects with relevant content material. Our solution may also be used to input several photos of an object to create a 3D reconstructed image. Our clients can leverage this solution to provide enhanced user encounter for their buyers.The remedy leverages and builds additional on proven OpenCV algorithms for image coaching and detection. Attributes
Template Primarily based
The framework provides for definition of objects as templates which assist detect objects that are similar to the defined template. The definition of objects is accomplished making use of a internet application accessible across devices. Image Coaching The framework has a Education module that requires various photos as input to create vocabulary and classifiers for each type of object which is defined. These classifiers are utilized to detect the object. Many Object Detection Makes it possible for detecting multiple objects within a single camera frame and augmenting them. That is achieved devoid of getting to retrain the images of objects or further extending the framework. Contextual Content material Augmentation Permits augmentation of objects depending on the context of detection for instance place, situation, and so forth. The object template produced as aspect of definition could be extended to add all relevant contextual information. Text/OCR/QR primarily based Detection Detection of objects according to Text, OCR (Optical Character Recognition) code and Tag scanning (QR code, Bar code, MS Tag), and so on. Benefits Confirmed Algorithms Enhanced UX Quicker Deployment Customizable and Extensible Cloud Ready Know more about augmented reality.