IOT & WEARABLES

We develop the cloud applications for connecting the IoT devices (IOT & WEARABLES) easily, reliably and securely using AWS services like AWS Lambda, Amazon Kinesis, Amazon S3, Amazon Machine Learning, Amazon DynamoDB, Amazon CloudWatch, and Amazon Elastic Search Service with built-in Kibana integration. We also develop IoT applications that gather, process, analyse and act on data generated by the connected devices, without having to manage any infrastructure.

The IoT refers to the connection of devices (other than typical fare such as computers and smartphones) to the Internet. Cars, kitchen appliances, and even heart monitors can all be connected through the IoT. And as the Internet of Things grows in the next few years, more devices will join that list.

  • Internet of Things: A network of internet-connected objects able to collect and exchange data using embedded sensors.
  • Internet of Things device: Any stand-alone internet-connected device that can be monitored and/or controlled from a remote location.
  • Internet of Things ecosystem: All the components that enable businesses, governments, and consumers to connect to their IoT devices, including remotes, dashboards, networks, gateways, analytics, data storage, and security.
  • Entity: Includes businesses, governments, and consumers.
  • Physical layer: The hardware that makes an IoT device, including sensors and networking gear.
  • Network layer: Responsible for transmitting the data collected by the physical layer to different devices.
  • Application layer: This includes the protocols and interfaces that devices use to identify and communicate with each other.
  • Remotes: Enable entities that utilise IoT devices to connect with and control them using a dashboard, such as a mobile application. They include smartphones, tablets, PCs, smartwatches, connected TVs, and nontraditional remotes.
  • Dashboard: Displays information about the IoT ecosystem to users and enables them to control their IoT ecosystem. It is generally housed on a remote.
  • Analytics: Software systems that analyse the data generated by IoT devices. The analysis can be used for a variety of scenarios, such as predictive maintenance.
  • Data storage: Where data from IoT devices is stored.
  • Networks: The internet communication layer that enables the entity to communicate with their device, and sometimes enables devices to communicate with each other.

“Today computers -- and, therefore, the internet -- are almost wholly dependent on human beings for information. Nearly all of the roughly 50 petabytes (a petabyte is 1,024 terabytes) of data available on the internet were first captured and created by human beings by typing, pressing a record button, taking a digital picture or scanning a bar code.

The problem is, people have limited time, attention and accuracy -- all of which means they are not very good at capturing data about things in the real world. If we had computers that knew everything there was to know about things -- using data they gathered without any help from us -- we would be able to track and count everything and greatly reduce waste, loss and cost. We would know when things needed replacing, repairing or recalling and whether they were fresh or past their best.”

WHY UCS?

Combining AI with IoT is essential because it enables businesses to collect data in the physical world–from wearables, appliances, automobiles, mobile phones, sensors and other devices—and add intelligence to deliver a better response or outcome. In other words, AI is the automation brainpower to make IoT device-driven data more useful

Today our engineers working on projects including
  • Data Analytics
  • Cyber Security
  • Augmented reality
  • Mobility applications
  • Edge cloud communications
  • Applying voice/sound capabilities
This work will make a difference in the industries we operate in
  • Aerospace products and services
  • Control technologies and buildings
  • Homes
  • Industries
  • Automobiles
  • Performance Materials

WHY AWS IOT?

AWS is simplifying artificial intelligence (AI) adoption through three low-cost, cloud-based services built for AI specific uses cases.

Instead of creating proprietary algorithms, data models or machine learning techniques, all levels of developers from Global 2000 enterprises through start-ups can leverage the Amazon Lex, Amazon Rekognition and Amazon Polly APIs to innovate quickly and build new Internet of Things (IoT) product and service offerings. AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.

AWS IoT can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely.With AWS IoT, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected.

Connect and manage your devices
  • AWS IoT allows you to easily connect devices to the cloud and to other devices.
  • AWS IoT supports HTTP, WebSockets, and MQTT, a lightweight communication protocol specifically designed to tolerate intermittent connections, minimize the code footprint on devices, and reduce network bandwidth requirements.
  • AWS IoT also supports other industry-standard and custom protocols, and devices can communicate with each other even if they are using different protocols.
secure device connections and data
  • AWS IoT provides authentication and end-to-end encryption throughout all points of connection, so that data is never exchanged between devices and AWS IoT without proven identity.
  • In addition, you can secure access to your devices and applications by applying policies with granular permissions.
process and act upon device data
  • With AWS IoT, you can filter, transform, and act upon device data on the fly, based on business rules you define.
  • You can update your rules to implement new device and application features at any time.
  • AWS IoT makes it easy to use AWS services like AWS Lambda, Amazon Kinesis, Amazon S3, Amazon Machine Learning, Amazon DynamoDB, Amazon CloudWatch, and Amazon Elasticsearch Service for even more powerful IoT applications.
read and set device state at any time
  • AWS IoT stores the latest state of a device so that it can be read or set at anytime, making the device appear to your applications as if it were online all the time.
  • This means that your application can read a device’s state even when it is disconnected, and also allows you to set a device state and have it implemented when the device reconnects