How do we provide a secure, efficient way to authenticate merchandise?
The consumer market is saturated with fake products. Billions of dollars are lost every year because of fake apparel. StegVision developed an anti-counterfeit technology that combines artificial intelligence, machine learning, computer vision, and steganography to address this issue.
A mobile app to scan specially encoded labels for secure product authentication. StegVision is currently in beta and launched in April 2020.
Understanding the Market & Its Consumers
Not only are brand images and profit revenues hurt when inauthentic products hit the public, consumers risk getting scammed with subpar goods too. StegVision helps consumers in verifying the authenticity of products and allows for brands to create a relationship with them.
It was important to target the fraudulent market at a manufacturing level—before fakes have a chance to reach consumers. The technology creates unique, encoded tags. Using a mobile app, consumers can scan tags to confirm a product’s authenticity as well as learn more about the brand and product. This interaction gives brands and consumers a chance for direct connection and a future relationship.
Mapping the Flow
In my research with other authentication apps, many were convoluted and it was hard to get immediate verification results. For StegVision, I aimed to streamline the flow to allow for users to get efficient authentication data. The architecture of the product will continue to grow as more features are added.
Designing the Camera
The camera viewport was the most important screen within the app because the technology needed a well-taken photo to authenticate a label. It underwent multiple iterations to refine the hierarchy of the camera elements, such as flash, manual mode, and help.
Initial camera designs
To teach users how to send in product photos, I designed a series of in-app steps. This instructs the users in real-time how to leverage the app for the most optimized authentication experience. Because this app was going to be white-labeled, the visual design needed to minimal and flexible.
To teach users how to send in product photos, StegVision implements a series of in-app steps. This instructs the users in real-time how to leverage the app for the most optimized authentication experience.
Consumers can verify the authenticity of the product in their hands within seconds. Even if a consumer's scan fails to authenticate a product, StegVision can detect part of the product's label. The app then guides consumers in capturing a more accurate photo through overlays to verify the product's encoding for authentication.
I hope to expand the feature set of this app beyond authentication. To embody the consumer and business relationship, features like product cataloging and guides will create a more holistic user experience.