Virtual Try-On

Unlock unprecedented capabilities in Virtual Try-On through AI Computer Vision.

Virtual Try-On In E-Commerce

The evolution of online shopping has been significant, primarily driven by the convenience it offers. However, a common challenge faced by many e-commerce providers is the inability of users to physically touch or try products before making a purchase.

Hence, AI computer vision unveils Virtual Try-On, where it enables customers to virtually wear or assess products such as: clothing, accessories or even furniture. This innovative approach accurately analyses and overlays virtual products onto users’ image in real-time, providing a seamless and immersive try-on experience. By harnessing the power of computer vision and AI capabilities, customers can now visualise how products would look on them with precision and realism, enhancing the online shopping journey and driving increased engagement and sales.

AI Computer Vision Capabilities In Virtual Try-On

Accurate Product Placement:

Computer vision accurately places virtual products onto the user’s image in real-time, ensuring a seamless try-on experience.

Realistic Rendering:

Advanced computer vision algorithms render virtual products realistically, taking into account factors like lighting, shadows, and reflections.

Facial Recognition:

Computer vision identifies facial features and contours to ensure proper alignment and fit of virtual products on the user’s face or body.

Gesture Detection:

Computer vision detects user gestures for intuitive interaction, such as rotating, zooming, or removing virtual products during the try-on process.

Tuba.AI: Your Gateway To Build AI Vision Models Effortlessly

Tuba.AI stands as your one-stop platform for every stage of AI computer vision model development. From seamlessly labelling data images to efficient training processes and straightforward deployment, Tuba.AI empowers you to build robust models for virtual try-on applications with ease.

For example, Tuba.AI allows developers to train AI computer vision models using labelled image datasets of clothing or accessories, allowing for accurate virtual product placement and realistic rendering during the try-on experience.

The Value Of Applying AI Computer Vision To Virtual Try-On

Enhanced Customer Experience:

Customers can visualise how products will look on them before purchasing, reducing uncertainty and increasing confidence in their buying decisions.

Reduced Return Rates:

By providing a more accurate representation of product fit and appearance, virtual try-on applications help reduce return rates, saving retailers money on return logistics and restocking.

Increased Conversion Rates:

The immersive and interactive nature of Virtual Try-On experiences can lead to higher conversion rates as customers are more likely to make a purchase after trying on products virtually.

Cost Savings:

Virtual try-on applications eliminate the need for physical samples or in-store try-on facilities, reducing costs associated with inventory management and retail space.

DevisionX At Your Service

At DevisionX, we are committed to simplifying the integration of virtual try-on applications into the platforms of e-commerce providers, offering comprehensive solutions through Tuba.AI as a versatile SaaS and SDK option. Our team of experts is dedicated to tailoring AI vision solutions to your exact needs, ensuring a seamless assimilation of advanced technology into your e-commerce processes. Embark on this journey by signing-up to Tuba.AI, and experience the power of AI computer vision through its user-friendly platform. Start your free trial now!

For those seeking customisation, explore our range of Software Development Kits (SDKs), offering versatile options such as Automatic Image Labelling, Classification Models Training, Object Detection and Segmentation Training, Model Deployment, and Job Manager. Request a SDK and begin tailoring solutions that precisely fit your unique requirements!