Drishyam.ai: A Deep learning based Image recognition enterprise platform in the Home Improvement...
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Transcript of Drishyam.ai: A Deep learning based Image recognition enterprise platform in the Home Improvement...
DRISHYAM.AI (PART OF THE NVIDIA INCEPTION PROGRAM )
A Picture is Worth a 1000 Search Terms!!!!
Bplan- Apr 2016
COMPANY PURPOSE
Drishyam.ai wants to disrupt the way users search, learn, visualize & buy home improvement products. It will do so by fundamentally changing the way users search for products, leveraging its patented image recognition algorithms
Drishyam also offers a smartphone based design pallet app that helps users view home improvement upgrades in their homes. It offers this feature by letting users take a picture of the room and replace objects in the picture in real-time by using our patented image recognition & replacement algorithms.
Drishyam also offers an A/R solution that helps bring offline marketing material like print & billboard to life. By simply taking a picture of a print ad, Drishyam’s app will let the user start interacting with the ad.
THREE STEP PROCESS FACILITATES PURCHASING HARD TO FIND PRODUCTS
WE CAN MAKE THE BUYING PROCESS FRIENDLIER BY:
Providing a design pallet in the picture by using our patented image recognition & replacement algorithms
Making product recommendations on visual aspects like color to help users replace objects or, Texture, glossiness, design, contours
Connect with contractors who can help them with the home improvement projects
PROBLEM
Not everyone is savvy in regards to purchasing home improvement products. Many times, most people do not know what to search for in a mobile app or website when looking for a product
The “imagination gap” : - The inability of users to visualize outcomes of DIY projects is a 1 Billion $ market. As a result of people delaying or putting off DIY projects.
OUR SOLUTION
Our patented image rec algorithms recognize not just the product but the design specifications and other product specific visual attributes like design, logo, vendor, sheen, glossiness, color etc. and will return a match or a near close match to an image in the retailer’s database
Our patented image recognition & replacement algorithms help novice users design kitchen upgrades etc. on the fly by merely clicking a picture of the rooms on their smartphone
Our solution alleviates the burden on homeowners currently face because:
1. It eliminates the need to explain pesky details through words to customer service representatives
2. Homeowners will no longer have to spend hours trying to locate products through mobile apps or websites
USE CASES – BECOME A DESIGN NINJA
User either uploads a picture or takes a picture using his smart phone camera
Our Mobile app recognizes all the home improvement products making them clickable in the picture
The user selects the product to upgrade (Faucets, countertop etc)
Our replacement algorithm replaces the objects in the picture in realtime and provides an estimate price for the upgrade. We can also recommend contractors who can help with the upgrade
Thus., anyone can transform from being a novice user into a design ninja!
USE CASES- ATTAIN HOME IMPROVEMENT ZEN
Whether its fixing a jammed kitchen sink incinerator or replacing the 2 Pin GX24d-3 Base bulbs, its now as easy as snapping a picture.
We will identify the problems, recommend solutions and even hook you up with contractors just by recognizing the objects in the picture.
No more second guessing the right google search terms to identify the issue. Just snap it &attain home improvement zen!!
Upload a picture
Image Rec s/w Recognizes the Objects in the picture
Granite
Counter Top
Dining table
Stainless
Steel Kitchen
Hood
Brown
wooden
blinds
s/w identifies all upgradable objects
Upon selection of a product, user is presentedWith a range of options to choose from
User picks pink granite for the countertop & Cherry red color for the cabinets
WHY NOW
Recent advancements in deep learning based
Artificial Intelligence algorithms have enabled a
certain degree of sophistication where one
product can be differentiated from others based
on its physical characteristics such as: sheen,
glossiness, and color. This allows algorithms to
identify products in a picture and even replace
them with similar products in real – time
Other factors include: cheaper computer
resources, advancement in distributed processing
techniques, and explosion in data acts as a fuel in
helping these algorithms achieve scale and
accuracy faster
For ex: millions of pictures pertaining to home improvement are generated every day
Advancement in Deep Learning
Explosion of Data
MARKET SIZE
TAM: It was estimated that improvement and repair expenditure in the United States amounted to about $300bn.
SAM & SOM : There were close to 20mm downloads amongst most of the home improvement players in the United States alone. Nearly all of these users can utilize the features we are implementing
PRODUCT SEARCH RELEVANCY BANE OF HOME IMPROVEMENT INDUSTRY
As a result of the technical nature of text based product searches in the Home Improvement domain, product search relevancy for these searches is abysmal
Home Depot just ran a Kaggle competition and awarded a $40k prize to the winning team that improved the product relevancy by a mere .02 RMSE(Root Mean Square Error)
MARKET OPPORTUNITY
Retailer Volume of calls/month
Home Depot 125,000,000
Lowes 60,000,000
Ace hardware 4,000,000
Build.com 1,900,000
Builddirect.com 1,300,000
OSH 500,000
Grainer 325,000
Little Giant ladder 120,000
Fastfloors.com 100,000
Total 193,245,000
At 1% conversion & 1c/call represents revenues
monthly of
~20,000 $/month
A random sampling of the top 8 Home Improvement retailers in US alone receive ~200 Million views/month (of which search is a huge part) to their websites
If we could convert even a tiny fraction of this to image based search, we have a lucrative business opportunity awaiting us
COMPETITION
Though many Deep Learning based companies received funding in the last couple of years, none operate in the home improvement market
Our Competitive Advantage:
1. Building the biggest image dataset for the home improvement space. (100k images so far)
2. Team with deep Computer Vision, Deep learning & Enterprise experience
3. Prior startup experience
4. 2 Patents in image recognition & replacement : Applied for provisional patent: “SYSTEM AND METHOD FOR IDENTIFYING, RECOMMENDING AND REPLACING VISUALLY SIMILAR PRODUCTS IN THE HOME IMPROVEMENT DOMAIN”
PRODUCT ARCHITECTURE
PRODUCT ARCHITECTURE- CONT’D
Our free mobile apps offer a design pallet to showcase our image recognition and image replacement technology
We also provide the image recognition technology through APIs to our enterprise customers
We offer a very customized solution to our enterprise clients like for e.g a deep integration with their existing text based search APIs to enable image recognition capability on the fly
CURRENT COMPANY & PRODUCT STATUS
Got accepted into Nvidia’s inception program (https://www.nvidia.com/en-us/deep-learning-ai/startups/)
Seeded our database with close to 100K images
Our recommendation engine fronted by our APIs are live on AWS now
Our recommendation engine supports recommendation by shape, color and other visual cues
Our Android app is live in Google App Store.
THE FUTURE IS VERY BRIGHT
We are entering the exciting new world of A/R & Virtual Reality. What we are building is foundational to these 2 platforms in the home improvement space.
We could offer our patented technology as a Facebook bot to help FB users with home improvement design ideas
We want to solve the imagination gap in V/R and 3 D as well. Our Technology will help users identify objects in 3D & offer an easy way to visualize, upgrade & purchase Home Improvement products in real-time ushering a new way of shopping in this space.
CURRENT CLIENTS
Wishkarma (India) : Wishkarma is a community site in the home interior designing &
decorating space that brings manufacturers architects interior designers & users together in
one place
The site boasts of close to 50K architects & interior designers all over India
SALES & REVENUE MODEL
Client Size Volume/Month
Small & Medium 20,000
Large 1,000,000
We anticipate our clients to fall into one of the 3 categories: Small, Medium & Large. The
average anticipated traffic is as follows.
We plan to charge our enterprise clients for the API usage & a one time fee of 50K for the
mobile app development
Calls Between Charge ($)
0-1000 .1
1,001-100,000 .05
100,001-1,000,00 .01
1,000,001< .001
DISTRIBUTION CHANNELS
API Gateway providers like Mashape, 3 Scale etc.
iPhone & Android Mobile Apps
Partner with Architecture firms and customize the app for architects & interior designers
Partner with real estate sites like Realtor & Zillow and offer home improvement ideas to their users.
Partner with MBAAS companies like Kinvey, Anypresense and provide image rec & image replacement functionality to developers & enterprises
Submit an app in Salesforce App Exchange
Facebook bot
Build a 3D app using Oculus Rift APIs
REVENUE GROWTH
We anticipate to grow to 5 clients by early next year all small to medium in size. We are hoping to pickup a couple big clients by the end of 2017. That will help spread the word around and lead to the accelerated growth in revenues.
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1,000,000
2,000,000
3,000,000
4,000,000
5,000,000
6,000,000
2017 2018 2019 2020 2021
REV
ENU
ES IN
DO
LLA
RS
YEAR
Revenue Growth
THE TEAM
Satish Mandalika
CEO & Co-Founder
(925-640-2124)
Over 20 years of experience in enterprise software having worked for large banks, Healthcare &
Media companies
Experience running large product teams to support digital strategy for healthcare companies
Deep consulting background- held multiple management positions in large enterprises in the past
MBA from Haas School Of Business, UC Berkeley with a focus on Entrepreneurship & Product
Management
Ankit Jain
Co-Founder
(510)-610-7330
Ankit is a data scientist who is passionate about building technology products leveraging data
science
He has a patent in enterprise sales prediction algorithm using advanced machine learning
techniques
Masters in Financial Engineering from UC Berkeley and BS in Electrical Engineering from IIT Bombay
Sandeep Ramachundri
Co-Founder
(919640175301)
)
Image recognition expert – vast experience in deep learning and has had the opportunity of
implementing & fine tuning image recognition algorithms for them at scale
Masters in computer vision & machine learning from IIIT Hyderabad
APPENDIX
FAUCET RECOMMENDATIONS ON OUR CONSUMER APP
GOOGLE IMAGE SEARCH RESULTS FOR THE SAME INPUT FAUCET
Our Results are way better than Pinterest
Faucet Recommendations on our consumer Android app- “Whats My Faucet”
Bring your marketing material to life from print, billboards etc. to the digital world. Share product specs, “How to” manuals digitally by letting users click a pic in the magazine using our free Android app- Whats my Faucet
Augmented Reality that lets users interact with the product in 3D on their smartphone
Visualize new Faucets in your own Kitchen-Instant Gratification