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區塊鏈技術將改變未來 盡早擁抱是上策
正文
Nowadays, consumer shopping has become ubiquitous. It can happen anytime, anywhere, and through a variety of channels. Entering a store or ordering from a shopping site, voice search or mobile phone click, consumers have the option to shop anytime, anywhere. In today’s e-commerce industry, entrepreneurs may find themselves constantly struggling with issues such as:
- Information Leakage
- Other than payment information, consumers are concerned about sharing sensitive information and having it result in leakage (i.e. Equifax data leak could involve 143 million consumers).
- Transaction Disputes
- Except for the invoice/credit card statement, there are no other shopping records for consumers which is a large unsolved issue of trust for online platforms.
- Payment
- Consumers have to present credit/debit cards to the merchants which create the inconvenience, inefficiencies, and possible transaction fraud.
- Fraud
- The fraud between online merchants and consumers (like incidents on eBay or Taobao).
- ID Identification / Data Sharing
- Users have various IDs connected with their online behavior, such as an email account, phone number, dozens of membership IDs resulting in fragmented data.
- Merchants are unable to access a universal system which stores customer information and preferences. For example, Yahoo! Japan has no access to consumers’ shopping records for Amazon Japan.
Even with increased usage of e-commerce sites, offline physical stores will not disappear.90% of global retail sales still come from physical stores. Compared to a wide variety of convenient online shopping, physical retailers must create a good customer experience and increase brand engagement, or their competitiveness will become increasingly diminished as their competitors innovate.
- ULSee Platform
- The goal of the ULSee platform is to incentivize as many consumers (data suppliers) as possible to share as much data as possible with as many merchants as possible. We will use the graphene technology used by Enterprise Operation System (EOS), which can support 10,000-100,000 transactions per second during stress tests. In addition, a concurrency mechanism will be used to expand the network abilities to handle transactions up to millions of transactions per second. Utilizing blockchain technology, decentralized storage and marketplace structures, the ULSee platform aims to make available the 99% of potential data that has been previously inaccessible to e-commerce companies. Resulting in an ecosystem between e-commerce platforms and consumers to achieve its potential to truly disrupt and transform our daily lives for the better.
- System Architecture
- ULSee will be built upon several well-proven technologies and concepts, such as blockchain, distributed consensus, and proof of work. Additionally, there are some critical points and applications ULSee will address:
- A facial-ID (U-ID) for ULSee users. U-ID provides access to ULSee’s facial wallet(U-Wallet), which is the access point for transactions and personal data.
- A database that requires zero knowledge proof and allows users to upload personal data without worrying data leakage. Third parties have no access to user’s personal data unless being authorized.
- A digital magic mirror designed especially for the fashion industry (ig. clothing, cosmetics), allowing users to sample what he/she is purchasing or see what our AI system suggests based on shopping preferences.
- New Commerce Social Community
- The ULSee economic system will be formed as a new commerce social community. We will invite global fashion bloggers, models, influencers, etc. as KOLs (Key Opinion Leaders) to participate in the entire ecosystem. Consumers can share their trial of products through the magic mirror on social media, so that their fans and other community users can see these designs. If the post on social media results in any sales, the original poster will be rewarded with tokens from the merchant.
- Easy-To-Access, Distributed Flow of New Commerce Platform
- For the ULSee commerce network and ecosystem to work, large amounts of user data need to be accessed easily and cost-effectively by merchants. This system intends to tie together all the parties involved in commerce and provide valuable information or assets to each.
- ULSee will provide a total Face ID solution for the offline merchants and online merchants, which allows the Face ID scan to be done by any devices with a 3D imaging enabled camera such as an iPhone X.
Consumers:
Consumers can create a private token wallet unlocked by the facial recognition technology to store their Ucoins tokens. Users will be rewarded withhe Ucoins for contributioning of their face data to ULSee database and/or shopping data to Merchants. The token will be accepted as currency by merchants within the ecosystem (ig. Retail purchases, utilities, ecommerce, etc.).
Merchants:
Merchants can benefit from several applications based on the ULSee database. Being a part of the ecosystem gives merchants access to the universal database of consumer preferences without requiring personal information. In the process of retrieving the customer information to display an advertisement, the merchant must reward the customers with Ucoins. Merchants are motivated to use ULSee technology not only for targeted advertising, but also payment verification and history (customers verifying payments through facial recognition). In addition, ULSee aims to lower the Face payment transaction fees to below 1% or even lower to compete with credit cards traditionally charging 1.5-3% per transaction.
Validators:
Validators exist to help validate commercial/shopping transactions on the blockchain and maintain the end user’s private data in the process. By serving this role in the transaction process, the validators are rewarded with Ucoins. Since the system is built using the InterPlanetary File System, the validators are actually participating in the validation and storage of the entire system’s data. The number of tokens rewarded to validators correlates with working hours and working capacities.
- Face Sensing
ULSee Face Recognition:
- 1:1 face verification: verify two different faces as the same person, with accuracy rate up to 99.8% on LFW.
- 1:N face recognition: accuracy up to 71.21% on Megaface, performance surpassing Google.
- Competitiveness: recognition accuracy rate surpasses competitors under face occlusion, light change, angle change, etc.
- Recognize more than 10 facial attributes accurately.
- Customized face attribute analysis including name, gender, age, mood, etc.
- Face & Body Avatar Generation
Our technology Highlight:
- Real-time generation
- User friendly steps
- Face expression control
- Accurate personal size
- Selectable hairstyle
- Small output easy to store in database
- ULSee Magic Mirror
ULSee 3D magic mirror can promote long-term behavioral big data integration. It can be accessed easily and try accurately.
- Accurate measurement of 7 kinds of body size: height, weight, bust, hip circumference, shoulder width, arm length, leg length.
- 3D clothing combined with a human body model to provide an immersive consuming experience for consumers.
- Virtual try on：Clothing, accessories, jewelry, glasses, etc.
- Intelligent out-fit recommendation system: according to consumer records, the weather, the scene and so on.
- Body motion simulation in real time
- RNN+LSTM based Outfit Recommendation System
2018 Q1
- ULSee Smart Commerce("USC") Concept & Team formed
2018 Q2
- Official ICO
- USC development starts
- Magic Mirror pilot run in JP
2018 Q3
- USC private test network launched
- USC consensus algorithm tested on private network
- Establishment of Innovation Labs
2018 Q4
- USC decentralized storage system deployed in private network
- First USC wallet beta launched
2019 Q1
- USC face wallet launched
- Final testing on USC Platform
- Official release of USC Platform
2019 Q2
- USC Chain announced
CEO & Founder, ULSee Inc.MSc EE. Pennsylvania StateUniversity
M.B.A., University of ChicagoDeputy CEO of China BillionResources
Professor, Department of Psychology,Professor, Department ofMathematics, University ofMichigan, Ann Arbor
Post PHD Research Fellow, Uni. ofMichiganGeneral Manager, Auto BU, ULSee
CTO, ULSeeResearch Fellow, University ofCambridge
PhD in Computer Vision, Universityof LeedsChief Scientist, i2o3d
Vice President, Cloud & CyberStrategy Division Head at SoftBankCorp
Famous angel investor who invested ina series of blockbuster starssuch as the 265.com, theAutomobile Home, Donkey Mother, 265,Snowbank Finance, Leopard Financeand 51 credit cardFounders of UTstarcomChairman of 8848 and chairman ofChina learning network
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