Google Lens
REdesign
In June 2017, Google launched Google Lens which is set to further redefine how we search for information online. It allows you to simply point, shoot and search an image from your very own smartphone.
Coming from a tech background and enthusiasm for emerging technology, Google lens caught my attention. uses AI, machine learning, and optical character recognition (OCR) engines to help people in their daily lives. I see the camera opening up a whole new set of opportunities for information discovery and assistance.
So this is my personal take on Google Lens. And how I would redesign this App.
Why Redesign?
But Google lens is not always right, this is because a machine learning algorithm is only as good as the data that it learns from. With the technology that Google has advanced in, I see the opportunity to fill this gap with better error-free interface, where instead of asking user for eg: “Is this shoe?” it could say “This is Nike shoe”. This gives us more confidence to trust the system with the results when the search is much more complex. Hence, I took this challenge to redesign Google lens which would serve as a more reliable app.
This is not to say Google lens has to avoid what they are doing now and start implementing my ideas. This is just my interpretation. Also to flex my UX muscles and become a better designer.
ROle
My role as a solo was to make it seamless end to end. Going through several iterations through user flows, low fidelity and high fidelity wire-framing, mockups and workable prototype as a UX, interactive and visual designer.
Current PROBLEM
Constraints
Since in real life we don’t have endless time to work, main constraint is to keep a 2 months timeline and create an MVP (minimum viable product).
Solution
Solution is to redesign Google lens. A usable MVP (minimum viable product) using Image recognition technology to search the real world, which can recognize, analyze and interpret images accurately.
PROCESS
Ux process doesn’t follow a linear methodology. But for the purpose of case study, I have curated the idea in a linear fashion in the following categories:
Research
Image recognition technology - has many benefits
Recognize and offer information about historical landmarks
Scan barcodes and QR codes
Recognize books, CDs, artwork, logos, and other 2D objects
Add contacts by scanning business cards
Recognize and conduct a search for similar products
Solve Sudoku Puzzles
Translate foreign language text
MARKET RESEARCH
COMPETITIVE ANALYSIS
Taptapsee- This mobile camera app is designed to address the needs of blind and visually impaired users.
Camfind -This app offers a mobile visual search engine. Take a picture of an object and the app will tell you what it is and generate practical results like images, videos, and local shopping offers.
Google reverse image search - It will help you find the original source of photographs, memes and profile pictures on your Android mobile phone, iPhone or iPad
USER PERSONA
PROCESS FLOW
USER FLOW
LOW FIDELITY Wireframes
Google lens before and after redesign
Brand Guide
Color and Typography
Iconography Navigation bar and Logo
HIGH FIDELITY - Wireframes
Interactive prototype
View more of my works