Tag: IoT Testing

It is no secret that India has planned to space flight program and has the idea of sending astronauts to space and the moon.  One of the fundamental challenges this will entail is the safety of human life and how to monitor various health conditions of the astronauts in space and in generally ensuring their well being. This is possible with the concept of remote monitoring and is closely related to the emerging field of Internet of Medical Things (IoMT). As the best software development company in USA and a leading cybersecurity company in UK, GRhombus Technologies analyses this emerging field of IoMT.

IoMT has a primary focus on improving healthcare monitoring, delivery and decision making by integrating medical devices and technologies with the Internet. When various medical devices are connected, it enables easy data collection and sharing across media. Further, there is closer patient monitoring and it is possible to go in for a high level of personalization in treatment.

Some examples of IoMT devices include but are not limited to:

1. Wearables like fitness trackers and health monitors
2. Smart medical implants and automated drug delivery
3. Remote patient monitoring and medical alert systems
4. Assisted living systems
5. Robotic surgery etc.

There are several advantages of IoMT. They are

1. Remote and easy

Gone are the days when a doctor had to be by the patient’s side and undertake rounds. Today, with IoMT, remote monitoring is facilitated. Further, the monitoring is comprehensive with not only the vitals being monitored, but also and advance detection of anomalies and thus helps in proactive and timely intervention.

2. Personalized and improved healthcare delivery

With the various parameters being monitored continuously, there is personalized treatment regimen. Further data can be shared across platforms and healthcare providers easily. Long-term effects and trends based on lifestyle and other factors can also be studied. All this leads to better outcomes for patients, care givers and healthcare professionals.

When treatment is highly personalized, then the medical intervention is more targeted and the success of the outcome is also assured.

3. Research and development

With the availability of ready data, research is facilitated. Right from large size sampling to understanding disease trends across various geographies and age groups, medical research can play a key role in understanding conditions better and even with formulating policies.

4. Collaborative effort

With IoMT, patients and their families and caregivers are more in control as the data is transparent and measurable. This helps healthcare professionals better communicate and collaborate with the patients. Patients can also monitor progress and draw psychological comfort. By being more participative and collaborating to make informed decisions, the overall scope of medical effectiveness and patient empowerment is increased.

5. Cost considerations

With timely intervention, costly medical complications can be avoided as the case is handled before an escalation. Further, resource allocation for patient monitoring is optimized. Patients also need not travel to the hospital from their location. This all adds up to cost effectiveness for all parties.

Overall, IoMT is an emerging field and has excellent scope. While concerns remain around areas like data collection, security, data volume etc., the long-term positive impact and considerations are sure to win when reasonable safeguards are put in place.

Why Grhombus Technologies?

Grhombus Technologies is a leading software testing company in UK and has the best IoT testing experts on its rolls. We bring a layered approach to any IoT solution. Our segment-wise approach ensures that we bring 100% coverage to all IoT systems, right from the hardware and network to the data storage, cloud and final application.

This comprehensive approach has helped us win the admiration of clients and we have emerged to be a leading software development company in UK. Apart from IoT, we also have expertise in a range of services and areas including Devops, Salesforce, EdTech and Cyber security.

Today, mobile phones have evolved to be much more than just communication devices as they were originally envisioned. Right from fitness tracking to maps and what not, various applications on mobile phones have made them versatile.

Now a mobile phone application needs to have a framework to be developed. Two of the leading frameworks are Flutter created by Google and React Native created by Facebook. Both of them are open-source frameworks and offer the ability to build high-quality applications for both iOS and Android environments. With rich widgets and ability to deploy on multiple platforms, there is a lot of time and effort saved.

However, any solution needs to be tested before deployment. Hence, there needs to be reliable testing solutions. Automated testing is critical as it allows developers to check and fix bugs proactively, ensure stability and software product quality. This will in turn translate to better user experience, faster rollout and reduced time to market.

The main advantages of automated testing frameworks are:

1. Increased efficiency
2. Reduced manual intervention and errors associated with the same
3. Improved user experience
4. Assured cross-platform compatibility

To support testing needs of Flutter apps, the below automated testing frameworks have emerged.

1. Flutter Driver

Google has provided Flutter Driver as the official testing framework. User interactions can be simulated and app behavior can be verified easily. Further, it is continuously updated and has many APIs and tools for testing. User behavior and pathways can be tested as a whole. The Dart VM’s hot-reload feature, allows to quickly reload the app’s code during testing. This in turn improves efficiency by saving time during testing iterations.

2. Mokito

The programming language used in Flutter is Dart. Mockito is a powerful framework for this language. Specific parts of the app can be tested in isolation and various simulations can be run. Further, Mokito can be used in conjunction with Flutter Driver to write a complete suite of tests and simulations.

The automated testing frameworks for React Native are as below.

3. Jest

React Native works on Java and Jest is widely adopted for React Native development. Jest has some excellent features like:

1. Mocking – Ability to mock in-built dependencies like functions, API calls etc
2. Ability to undertake asynchronous testing
3. Ability to generate reports that show how much of the code is covered by tests
4. Snapshot testing feature where the unintended changes in UI can easily be singled out.
5. Features like test watchers which only run tests on the recent changes.
6. Seamless integration

4. Detox

Detox is an end-to-end testing framework specifically designed for React Native apps. It allows for fast simultaneous and reliable testing across multiple devices. It also integrates easily with CI (continuous integration) and CD (continuous deployment) systems and rich API support.

Why GRhombus Technologies?

GRhombus Technologies is a leading software development company in USA and has the best IoT testing and mobile app testing experts in the business. From smart devices to technology stacks, we have end-to-end capabilities in the IoT domain.

We are led by a dedicated and experienced team and take pride in offering cutting edge solutions to any business challenge. We have partnered with leading brands and names from different countries like Cynergy of Isreal, uPonder Labs USA etc.

We have delivery centres in different locations in India and partner offices in the USA and Nethelands. For any additional queries or business needs, feel free to contact us!

IoT stands for Internet of Things. It refers to the network of physical devices, vehicles, home appliances and other items embedded with electronics, software, sensors etc with the ability to connect and exchange data. By extending the connectivity by the Internet to non-traditional devises like lights, machinery etc, greater integration and automation can be achieved.

In the context of IoT automation, it is basically the idea of systems being able to take a decision on their own without human intervention. The main advantages of this are that there is greater efficiency achieved, especially in the case of repetitive tasks, convenience, enhanced lifestyles and user experience.

Some of the common IoT automation techniques are:

Machine Learning and AI Integration

IoT devices can be integrated with machine learning algorithms and AI to automate complex tasks. For example, a smart security system could use machine learning to recognize the faces of family members and automatically unlock the door for them. While home automation is a basic application, it can be enhanced to an industrial scale.

Collection of data from sensors and their analysis

Sensors are the virtual sense organs of a system and help to continuously understand the environment. Based on the data gathered and the patterns identified by an intelligent system, it is possible to trigger actions and outcomes. So if there are rules and thresholds defined and set, then a system can work seamlessly. An example is intelligent lighting and heating systems.

Predictive Maintenance of Machinery and Systems

By integrating IoT, better predictive maintenance management can be achieved. This is especially true in the case of large and complex systems like refineries where multiple machines, systems and processes are involved, and a breakdown can be very expensive. Further, by undertaking maintenance based on the actual condition rather than a schedule chart, maintenance costs also can be optimized.

Setting up of Digital Twins

This involves creating a digital replica of a physical system, allowing for simulations and analyses that can inform automation strategies. For example, a digital twin of a factory might be used to test different automation scenarios before they’re implemented in the real world.

Robotic Process Automation (RPA)

RPA can be used in conjunction with IoT to automate repetitive tasks. For example, data collected by IoT devices could be automatically entered into a database or spreadsheet, as the requirement may be. This data can then be analysed for other activities.

Automation and Control in Manufacturing

IoT devices can be used to automate control systems in industries like manufacturing. Based on the real-time demand, the production line and the processes thereon can be controlled. The production process itself can be monitored and process parameters adjusted continuously to achieve best possible output.

Blockchain for IoT

Blockchain can provide a secure framework for IoT devices to communicate and transact with each other. This can be used to automate processes like supply chain tracking or energy grid management. Automation of reordering, remote monitoring of assets, tracking of orders etc can be completely achieved in a secure manner.

Why GRhombus Technologies?

GRhombus Technologies is a leader in offering API automation testing services and cybersecurity solution in USA. As a leading software development company in USA, we bring passion and purpose to our every activity. We are also a leading EdTech company in USA and a leading software development company in UK.

Our team of experts serve clients across Europe, UK, USA, Middle East. Committed to nourishing long-term relationships with them, we are dedicated to ensuring an uninterrupted flow of delivery all the time. GRhombus Technologies Private Limited is a subsidiary of GRhombus Consulting.

For additional details, please contact us.

Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed, to improve response times and save bandwidth. It’s designed to help solve the problems that arise from the centralization of data processing and storage in cloud computing. Some of the latest applications of edge computing include the following.

1. IOT

Internet of Things (IoT) can use edge computing extensively. Edge computing can process data from IoT devices in real-time, allowing for faster response times. This is particularly useful in industrial IoT settings where immediate data analysis can improve operational efficiency. Some examples include setting the pressure for steam generation in a boiler. As the quality of the fuel keeps on changing, the calorific value will be affected and thus the heat output will vary. By controlling this variable closely and at a very micro level, not only can peak efficiency in steam production be achieved, but also the fuel throughput can be made optimum.

2. Autonomous Vehicles

Self-driving cars generate a massive amount of data that needs to be processed quickly for the vehicle to operate safely. Imagine driving on a highway autonomously at high speed and stray cattle comes in the way out of a corner. Such challenges can be solved easily as edge computing allows for this data to be processed in the vehicle itself, reducing latency.

3. Smart Cities

In smart cities, edge computing can help process data from various sensors and devices in real-time, improving the efficiency of city services and reducing data transmission costs. For example, edge computing can help in traffic monitoring and real-time analysis of video. It can help optimize traffic, reduce the amount of data that travels to the cloud. It is more fault tolerant than a centralized system.

4. Content Delivery and Streaming:

Edge computing can be used to cache content closer to the user, improving the speed and reliability of content delivery and streaming services. This means that even if the user is having bandwidth issues, high quality video can be played on the user’s device. This can also be extended to applications in telecom.

5. Healthcare

In mission critical healthcare applications like remote surgery and real-time health monitoring, edge computing can be a boon since there is no latency involved. Privacy and data security is ensured since the data is more localized and this helps in complying with strict data regulation guidelines that arise when handling the data. Further, many IoT devises can be connected in real time and used simultaneously since data bandwidth consumption is very less.

6. Augmented Reality (AR) and Virtual Reality (VR)

AR and VR applications require low latency to provide a smooth user experience. Edge computing can process data closer to the user, reducing latency and improving the user experience. AR and VR in turn can be applied to a large spectrum of areas right from medical and education to retail and banking.

Why Grhombustech?

GRhombustech is a leader in offering Edtech solutions and is among the leading software development companies in UK. We take pride in delivering custom and best-fit solutions. Perceptive and collaborative, we offer an exceptional experience at every engagement touchpoint.

Apart from Edtech, we are also among the leading cyber security companies in UK. Established in 2014, GRhombustech has delivery centres in India at Hyderabad, Chennai and Bengaluru along with partner offices located in the USA and the Netherlands. For additional details, please contact us.