LinkMeⓇ.io: Number Plates Virtually Hyperlinked
How does it work?
Linked up number plates, can be easily looked up by pointing mobile phone cameras towards them. Once scanned, users are redirected to the associated linked up content. The linked up content can be any advertisement or marketing content on the web or other social media platforms whichever preferred. Once a content is looked up, it remains in the history of activities and can be saved permanently for future reference.
For every looked up event, linkers receive a notification and their linkme user profile can always be looked up as long as the looked up content remains in the history of activities or the user is followed by the looker. Looked up number plates get automatically sorted out in various categories depending on their linked up content (e.g. a for-sale car will be sorted under the automotive category or a realtor content will be sorted out under the real estate category.)
Users can have their profiles verified by following the linkme user verification guidelines and submitting the required identification documents. Legal owners of the plate numbers (and VINs) are always prioritized and reserve the right to link up their own content or remove their plate numbers from being used on the linkme platform.
Business and Sales Applications
A wide variety of businesses including auto dealers, automobile service providers, realtors, trades, home maintenance and etc use our platform for marketing purposes. Linked up numbers allow people to receive sales and service notifications and exclusive offers.
Safety and Security Applications
Most users also opt-in to receive quick alerts such as parking notices and law enforcement emergency notifications (GPS-based).
Other Use Cases
Sport and vintage car owners and collectors use our platform to meet with likeminded people, build business connections and make new friends.
The tech stack of LinkMe softwares is based on JavaScript language. Services are developed by Node.Js which is a light, scalable, and cross-platform way to execute code. It makes our services efficient and scalable. Meteor.Js is the platform for exposing our services to the front-end. Building javascript applications by Meteor.Js makes communication between front-end and back-end simple and efficient.
For developing user interfaces, we use React.Js as a JavaScript library that is used specifically for single-page applications. Components in React have their own internal logic and their rendering work independently. These features help us to create fast and reliable pages.
MongoDB is the database that stores the data of the system. It enables us to scale applications efficiently, handle different data types, and manage applications easily. We use Document Data Model that is a great way to store and retrieve variable data that we have for different contents.
AWS cloud computing services are reliable and scalable resources that we use in different areas.
AWS S3 is our object store in order to persist files of the system on a distributed file system.Our web application servers (meteor instances) and database (MongoDB instance) are hosted on AWS EC2 machines. It provides us with complete control of our machines and we are able to run on Amazon computing environment. It provides secure, resizable compute capacity in the cloud.
We use AWS ELB to provide scalability and fault tolerance by automatically distribute incoming application traffic over the multiple application server instances. It also scales resources to provide traffic requirements.
AWS CloudFront as our content delivery network provider is utilized to speed up the delivery of our contents. It securely delivers data to customers globally with high speeds and low latency.
For detecting malicious files we use ClamAV antivirus engine by utilizing it on the AWS Lambda platform. ClamAV is an open-source antivirus engine for detecting trojans, viruses, malware & other malicious threats.
Google Cloud Vision is the OCR service that we use to extract data from the uploaded images. It’s a powerful pre-trained machine learning model that provides high accuracy. Amazon Rekognition also helps us to identify car plates from images and label them.
AWS CodeDeploy is our deployment tool that automates our deployments to our EC2 instances. It helps us to rapidly release new features and avoid downtime during application deployment.
GitHub is the repository of our source code. It hosts our source code projects and keeps track of all changes we made to them.
Our software development and R&D activities include the following areas:
- Controlling and managing access server applications
- Transmission of processed information to recipient devices and automated data transmission and warehousing
- Business management services relating to information and data compiling and analyzing
- Statistical evaluation of data from market studies, market research data, and marketing data
- Cloud computing provider services for general storage of data
- Conversion of data or documents from physical to electronic media
- Data encryption, decoding, and migration services
- Development and creation of computer programmes for data processing
- Data structures, algorithms, and software design
Work Qualifications:
- Analytical and debugging skills
- NoSQL databases and core internet protocols
- JavaScript, Node.JS, Meteor.JS, React.JS, and MongoDB
- Development and deployment of workloads to AWS cloud in a secure environment (AWS S3, AWS EC2 Instances, AWS CloudFront, AWS Lambda, AWS ClamAV, and AWS CodeDeploy).
©2023 ALL RIGHTS RESERVED.
This website uses cookies.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.