Augmented Reality at its core is driven by advanced computer vision algorithms. By layering machine learning systems on top of the core AR tech, the range of possible use cases can be expanded greatly. While AR/VR technology has come to be associated mostly with gaming and infotainment, it’s gradually finding application in a wide array of industries like Manufacturing, Real Estate Development, Retail Industry, Transportation, Education and much more.
In Manufacturing, with AR& VR potential to create a virtual simulation of just about every facet of the manufacturing process; the effect of it’s use could be truly revolutionary, and it can add value to the business. AR/VR has already started creating positive disruption for a vast number of operational processes: from design and prototyping to the final production and assembly. At the initial stage, virtual reality can demonstrate how a product would look like without creating a physical prototype
AR/VR helps eliminate the confusion in Inventory Management. Production environment can be simulated with the help of VR that can indicate potential hazards and risks.
In Real Estate, AR/VR technology is being used to showcase property to prospective clients. This technology is also helping interior designers to create various styles and designs before selecting the ones that would please their clients which is positively saving time and costs of the clients.
Retail Industry is growing at a fast pace. With rapid rise of innovation, businesses are on their toes to follow the latest digital trends. AR/VR technology is a game-changer in such industry that stretch beyond marketing and simple visualizations. Apps built with augmented reality experiences helps boost revenues and profits in the business line.
In the world of Mobile Application Development, Augmented reality, a special effect that enables digital images to be superimposed on real ones, has become an increasingly popular smartphone application, often for entertainment applications such as face swapping or live face filters.
Augmented Reality along with Machine Learning and AI can help enhance the AR experiences adding effects and interactivity. Deep Learning neural networks can detect vertical and horizontal planes; estimate the depth and even segment images for realistic occlusion, infer 3d positions of objects in real-time and these abilities layered on top of AR; seamlessly together create immersive mobile experience.
At KCS, we combine the capabilities of AR/VR with Deep Learning and Computer Vision. From asset creation to rendering to environment set-up, we make our client’s jobs easier.
Saranmai K is a Python Developer, responsible for implementing Python applications, ensuring data security and protection, and identifying data storage solutions. When she is not coding, she enjoys blogging, watching movies and travelling.