Tag: custom software development in UK

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.

Since time immemorial, humans have used language and speech as a medium of communication of thoughts. As computers evolved, they had their own programming languages and codes. Software became advanced over time and coupled with hardware advancements, the potential for computer applications became endless.

The next step in this evolution is the case of Natural Language Processing or NLP for short. It is a field of artificial intelligence (AI), whose aim is to help computers understand and interpret human languages. The understanding and interpretation by computers must be in a way that is useful, and it is possible by advanced models, algorithms and other related developments.

The main applications of NLP include areas like

1. Machine-based translation
2. Summarization of information
3. Generation of text and language in a coherent manner based on various data sources. For example, writing about the performance of a company based on a summary of the balance sheet and other related financial data.
4. Chatbots and conversational agents

And many more such applications.

As the best software development company in USA and a leading cyber security company in UK, GRhombus Technologies analyses the recent trends in NLP in the below blog.

1. Ethics

As AI gains traction, one of the key areas to address is how NLP models can be trained to avoid bias and remain ethical. There is also an inherent fear of systems acting recklessly to take decisions. This is especially true in the case of customer-facing applications like chat bots.

2. Privacy concerns

Along with ethics, privacy concerns associated with NLP also need to be addressed. This is still a grey area and there are discussions at multiple levels on how various aspects need to be handled.

3. Quick-learning models

Humans have the inherent ability to learn new things even when the data around the project is limited. The aim is to extend this to NLP with few shot and zero shot learning. This also applies to cases where the data set is limited like in low resource languages.

4. Transparency and accountability

As NLP finds a larger scope of applications, it is important for end users to understand how decisions are made. Insights need to be provided on how the model behaves and what its limitations are.

5. Transfer Learning

There are many cases where learning in one task can be applied to a related task. More research is being undertaken in this area to quicken the evolution of NLP.

6. Multilingual capabilities

Language limitations themselves become a barrier sometimes. For example, a person may understand and speak Chinese, but not Spanish. The context also varies between different languages. So, the aim with multilingual capabilities is to bridge the divide and provide better communication and understanding across different languages.

Overall, the focus is on improving the ethical aspects around NLP as well as expanding the application across different verticals.

About GRhombus Technologies

As a leading software development company in USA and a reputed Salesforce CRM customisation company, we understand the tenets of a business and tailor the solution to a required business need. We are also well-versed in the Force.com development platform and can undertake key customisation and advanced automation functions based on the business needs.

We are also one of the leading custom app development company in UK and we offer a one stop solution for developing Web, Mobile and Cloud based applications with a responsive design that suits specific business needs. Are you interested in engaging with us and growing your business to the next level? Contact us to fly on wings of change.

It is no doubt that artificial intelligence (AI) and machine learning (ML) have revolutionized different aspects of various industries and business verticals. They have helped create new business models, add efficiency into the system and even understand customer perceptions and interactions better.

One area where AI, ML and Robotic Process Automation (ROPA) can find good applications is in the field of software testing. Oftentimes, one or more such tools can be combined to achieve stellar results. This is where the concept of hyperautomation testing comes in.

In layman terms, hyperautomation testing refers to the use of advanced technologies, such as artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA), to automate and streamline the testing process. The key feature of hyperautomation testing is how it is able to analyze large volumes of data by leveraging various AI and ML algorithms to identify patterns, make intelligent decisions and improve the testing process. It can also be used to validate system behavior, automate the generation of test data, reduce manual effort and perform continuous testing.

As the best software development company in the USA and a leading software development company in UK, GRhombus Technologies has done key work in this area. In our experience, some of the key advantages of hyperautomation testing are:

1. Reduced time to market

Using hyperautomation testing, many manual and repetitive tasks can be automated and this will help in faster time to market of the product. Automated tests can run 24/7 and catch issues early and human resources can focus on other important areas.

2. Increased quality

With automation, the depth of testing and the breadth of testing can be increased. This includes areas like more use cases, browsers, devises etc, which may not be possible in a manual testing setup. This will ensure that quality is built into the testing process.

3. Consistency

Since there is no fatigue involved like the case of manual testing, hyperautomation eliminates human errors and inconsistencies. Since the breadth and depth of testing is more, it also means that errors can be caught early. The feedback loop is faster and more robust.

4. Ability to scale

With an automated test setup, it is easy to scale without any corresponding loss in quality. The same may not be possible in a purely manual setup.

While we discuss the advantages, it is also important to have a balanced perspective of things. Some of the key disadvantages of hyperautomatino testing are listed below.

5. Investment in time, infrastructure and capital for setup

From the perspective of hyperautomation testing, developing automated test scripts and building out the necessary infrastructure requires significant initial investment in tools and knowhow. Hence, it is necessary to weigh the pros and cons before making a final decision to go in for a hyperautomation setup in the organization.

6. Maintenance

As with all tools, even a hyperautomation testing setup needs maintenance. They have to be updated as the test cases, applications and envionments evolve. Further, when defining automated test scripts, they should be free from bugs. Else, they can lead to false positives/negatives in results. Further, a certain amount of foresight is required as automated tests must me capable of meeting future needs and should not be brittle.

7. Skill

Writing automated test scripts requires skill and deep coding expertise. Further, the modules must be clearly defined and designed and when error messages are thrown, it should be easy to identify the root cause.

Why GRhombus Technologies?

GRhombus Technologies is a leader in offering cyber security solutions and software testing solutions. We are a trusted information security partner for leading companies in Europe and USA.

Apart from cybersecurity and software testing, we are also a leading software development company in UK. Established in 2014, GRhombus Technologies has delivery centres in India at Hyderabad, Chennai and Bengaluru, and partner offices located in the USA and the Netherlands.

For additional details, please contact us.

Often, applications require coding expertise for development. Now is it possible to create applications without any knowledge of coding? Yes. It is possible and that is where the concept of low-code or no-code automation comes in.

When an application can be developed just by drag and drop options and through GUI (graphical user interfaces) and configurations, then it is no-code automation. Thus, businesses or even lay users can create applications without any (or even if necessary, very minimal) coding knowledge.

As a leading software development company in USA and a leading cybersecurity firm in UK, we bring robust solutions. The below is our analysis on the concept of low-code/no-code automation.

Advantages of No-Code Automation

1. Plug and play and speed of development

Since there is only drag and drop options and a user interface, low-code/no-code platforms significantly reduce the time it takes to develop and deploy applications. Use of pre-defined templates also reduces the need for any coding.

2. Cost Savings

Since less-technical expertise is required, there is no need to hire developers or software professionals. If the low-code application completely satisfies the business requirements, then faster time to market is achieved. This also gives profits and cost savings.

Further, with no-code applications, scalability is also easy. This means that when the initial pilot project works successfully, it can be enhanced easily to other areas.

3. Larger user base

By ensuring that no coding is involved, non-technical users can develop solutions. This leads to a larger user base and enhanced footprint of technological and software applications. This can drive digitization, and digital adoption in new sectors.

While there are the above advantages, the disadvantages are

Disadvantages of Low-Code/No-Code Automation:

1. Limited possibilities

When a ready-made solution is used, the customization possibilities are limited. Thus, any specific business challenge will require either a custom-built application or a work-around. Often, work-arounds do not fully satisfy the requirements and only cause frustration for users.

2. Dependency and security

When low-code solutions are used, there is dependency on a single vendor or a company. Such kind of dependency can be unhealthy for business continuity as the organization scales up. Further, data security, application security and other parameters may be difficult to ensure. This can make organizations vulnerable to attacks.

3. Performance Issues and hidden costs

Applications built with low-code/no-code platforms may not perform as well as those built with traditional coding, particularly for complex or large-scale applications. Further, hidden costs like license fees or anything else can also apply.

Some of the ways in which no-code or low-code applications work are:

1. Visual Workflows

By simple drag and drop, an entire workflow can be defined. An example is data entry. In this case, the entire application can be opened and the data that is obtained from a source entered automatically.

2. Integration platforms

These provide pre-built integrations or connectors to various apps and services. An example of this is automatically adding new email subscribers to a CRM.

3. RPA (robotic process automation)

This uses “software robots” to mimic human actions like mouse clicks, keyboard inputs, etc. Useful for automating repetitive computer-based tasks.

About GRhombus Technologies

GRhombus Technologies is a leading software development company in UAE and the best software development company in UK. The company has made a mark in various spheres like end-to-end Software Development, DevOps, Manual Testing, Automation Testing, and Security Testing. We are also a recognized leader in the domain of cybersecurity solutions. GRhombus Technologies is dedicated to world-class customer service, innovations and cutting-edge solutions. For more details, 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.

Today mobile devices have become ubiquitous. So much so that we cannot imagine life without them. Right from controlling our doors and heating to communication, mobile devices have changed the way we view the world. Fundamental to all this is wireless technology.

6G is the latest wireless communication technology which is still in the research and development phase.

Some of the main advantages of 6G or sixth generation wireless technology are:

1. They offer higher speeds and less latency than what is presently available.
2. They can incorporate AI based controls. This will mean highly efficient network selection, data processing, network management and decision making.
3. Connectivity will be seamless and reliable, even in highly crowded environments or even remote areas.
4. Global coverage can be achieved with 3D networking possibilities. Thus, ground, ariel and satellite networks can be used effectively.

An extremely important point that sets 6G apart will be the environmental sustainability and positive environmental impact. The hardware is envisioned to be more energy efficient and will thus consume less power. Similarly, renewable energy sources can be integrated to make base stations self-powered. Power consumption can be adjusted dynamically based on the load and other conditions in real time. Spectral efficiency will be achieved by using tetrahertz frequencies and spectrum can be reused. Increased virtualization will help save on cost of materials and also the setup of physical infrastructure.

While many parts of the world are seeing 5G rollout and implementation, it is interesting to see the advantages that 6G will have over 5G. Though 5G and 6G are both wireless communication technologies, the key differences are as follows. This analysis is based on our experience as the best software development company in UK and a leading software development company in USA.

1. Speed

5G networks offer speeds up to 10 Gbps, while 6G is expected to provide speeds up to 100 Gbps. Thus, there is a direct 10 times faster speed advantage.

2. Capacity

Due to increased speed, more devices can be supported.

3. Latency

5G has a latency of around 1 millisecond, while 6G is expected to have a latency of less than 1 millisecond.

4. Wider application net

Due to low latency, mission critical applications can be easily onboarded in 6G. This includes applications like autonomous driving, holographic communication, highly immersive applications like augmented reality and virtual reality. Connectivity will be applicable across a lot of different systems than is available at present with 5G. This will also help to create personalized experiences.

5. Frequency Bands

5G operates in frequency bands up to 100 GHz. 6G, on the other hand, is expected to operate in the terahertz frequency bands (100 GHz to 10 THz). Thus, there will be greater bandwidth available for use.

Why Grhombustech?

Grhombustech 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 UAE. Apart from IoT, we also have expertise in a range of services and areas including Devops, Salesforce, EdTech and Cyber security.

Money is fundamental to human life and economic growth. Money allows for the exchange of goods and services and quantifying them in a tangible fashion. Similarly, the concept of money helps in storing wealth and allows for valuation and comparison. It greatly expands the scope of trade and promotes uniformity in transactions whether across the border or within the country.

With the growth of technology, the concept of money and technology have emerged to create a new avatar of cryptocurrency.

Cryptocurrency is a type of digital or virtual currency that uses cryptography for security. Unlike normal currency, there is no central bank issuing the currency. A distributed ledger and blockchain technology is used to validate the transactions. The first cryptocurrency to emerge was Bitcoin. Since then, many cryptocurrencies have emerged. The value of different cryptocurrencies is calculated differently and there is no uniformity in the way they operate, as each currency has its own list of conditions. Given that this is a new area, the impact on the market is an interesting study. As a leading software developer in USA, GRhombustech has given basic inputs in this blog. We would always advice the readers to do complete research and also consult finance professionals before undertaking any investments in crypto.

1. Market Volatility

Cryptocurrencies are known for their extreme volatility in value. Prices can skyrocket to unprecedented heights or plummet in a matter of hours. Thus, returns can be high or low and there is no assured stability in the way things operate.

2. Tax challenges

Many governments do not recognize cryptocurrency as a legal form of currency. Further, many governments have enacted strict laws to curb investments in cryptocurrency or brought in taxation laws to tax the gain on capital etc. While there have been cryptocurrency exchanges and investment products like normal markets, they are mostly not completely recognized.

3. Regulatory Framework

The rise of cryptocurrencies has posed significant regulatory challenges. Because they can be used anonymously, they have been linked to illegal activities. Since the concept can be easily misused, many governments are wary and a complete framework is yet to be created. Further, while crypto operates on a global level, the same level of understanding has not yet been achieved between financial institutions, banks etc. This has made crypto a legal and regulatory soup!

4. Disruption of Traditional Banking

Cryptocurrencies can potentially disrupt traditional banking and financial systems. They offer a way to transfer funds directly between parties without the need for a trusted third party like a bank. However, crypto currencies can be manipulated and there are frequent news about hacks and attacks on exchanges. Hence, the reliability factor is less.

Why GRhombustech?

GRhombustech is a leader in offering cyber security solutions in USA and among the best software development companies in USA. We also offer iot testing services and salesforce CRM customization. Established in 2014, GRhombustech also brings rich insight to Salesforce products and solutions. Our insightful work and key implementation expertise have delivered powerful transformations to clients and created enduring value. We also offer test automation services in India and custom software development in UK.

The company has delivery centres in India at Hyderabad, Chennai and Bengaluru, and a staff strength of 200+ employees all around the globe.

For more 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.

AI as a Service (AIaaS) refers to the provision of artificial intelligence (AI) tools, technologies, and algorithms as a cloud-based service over the internet. Some of the most popular service providers include AWS web services, Microsoft Azure machine Learning, tools from IBM and Google’s cloud platforms.

What is usually offered is a suite of machine learning (ML) algorithms, natural language processing (NLP) tools, computer vision, and other AI technologies that developers and businesses can access via APIs (Application Programming Interfaces) or software development kits (SDKs).

Some of the key activities that can be achieved through this include image and speech recognition, language translation, and predictive analytics. The output from these services can then be integrated into various applications and services.

AI as a Service (AIaaS) is a model in which businesses can access and use artificial intelligence tools and services through a third-party provider. AIaaS allows businesses to take advantage of the benefits of AI without having to invest in the infrastructure, expertise, and resources required to build and maintain an in-house AI system. Thus, even a small or a medium business can use powerful tools to improve the efficiency, without investing heavily in AI or employing key resources with knowledge in AI.

The steps usually involves a strong business case and analysis on what needs to be achieved. Without this clarity about the problem, a solution cannot be arrived at. Similarly, only if the problem statement is clear, will the tool and data set that is required to be used be understood.

The next step involves choosing a good AIaaS provider who offers the service suite they need. The business will then hold extensive consultations and finalize the deal. The AI service provider will undertake a consultative approach in helping to refine the problem and arriving at a solution. The business will then prepare and provide the data to the AIaaS provider. The data will have to be in an agreed structure and format and this can then be used to train the AI model.

The AIaaS provider can also work with the business to integrate the AI models into their systems and processes. This can include integrating with existing software, creating new interfaces, and providing training and support to users.

Continuous testing and optimization is necessary to achieve success. Once implemented, the business can quickly see the benefits and use AI to automate processes, gain insights, and make data-driven decisions. Giving feedback and training the system is the key to success.

Overall, AIaaS allows businesses to access and use AI capabilities without the cost and complexity of building and maintaining their own AI infrastructure. It provides a flexible and scalable solution that can be tailored to meet the specific needs of each business, while also providing ongoing support and optimization. By making an informed decision and by engaging with the right partner, a business can scale unmatched heights and exceed customer expectations.

About GRhombustech

GRhombustech is a leader in offering cyber security solutions in UAE and is a trusted information security partner for leading companies in Europe and USA. We take pride in customising security programs per customer needs and offering flexible and elegant solutions. Our experts deliver detailed analysis and documentation along with comprehensive mitigation and testing solutions at every step.

Apart from cybersecurity, we are also a leading software development company in UK and can implement Salesforce solutions in USA. Established in 2014, GRhombustech has delivery centres in India at Hyderabad, Chennai and Bengaluru, and partner offices located in the USA and the Netherlands.

For additional details, please contact us.

The term contactless technology refers to a group of special technologies that allow for communication or transactions without the need for physical contact between two objects or devices. Some of the examples of contactless technologies are:

1. Near Field Communication (NFC)
2. Radio Frequency Identification (RFID)
3. Bluetooth Low Energy (BLE).

Near Field Communication (NFC) is a short-range wireless communication technology that enables data exchange between two devices in close proximity. It is commonly used for data transfer between devices and for contactless payment. Any data transfer can be encrypted, thereby adding a higher layer of security.

The key advantages of NFC are:

1. It is a very simple technology to use and requires minimal setup time.
2. Data transfer can be encrypted.
3. It is supported by a wide range of devices and thus, there is higher versatility.
4. Data transfer speeds are quite good.
5. The power consumption is minimal or negligible.

RFID, or radio frequency identification, is a contactless technology that allows data to be transmitted wirelessly between a tag or label and a reader. This technology uses electromagnetic fields to automatically identify, and track tags attached to objects.

An RFID system typically consists of a tag or label, which contains a unique identifier and an antenna, and a reader, which emits a radio frequency signal that is picked up by the tag’s antenna. The tag then responds with its unique identifier, which is read by the reader and transmitted to a computer system.

The key advantages of RFID are:

1. RFID tags are durable unlike barcodes and can withstand harsh conditions.
2. They are an excellent choice for inventory tracking, especially when large volumes are involved.
3. RFID tags can store more information.
4. High levels of automation can be achieved using RFID and this reduces chances of human error.

Some of the common applications of contactless technologies are:

1. Access Control

Access control was one of the earliest adopters of contactless technologies. Such controls and control systems are commonly used in offices, hospitals, and other facilities to control access to specific areas or rooms. These systems usually involve an access card or fob that is waved over a reader to unlock a door.

2. Payment Systems

With QR codes revolutionizing payment systems, contactless payment systems have now become common place. It is also the same technology that finds applications in areas like making a payment by tapping a card, smartphone, or other device on a payment terminal.

3. Transportation

FastTag for toll payment is a classic example of application of contactless technology. Many public transportation systems like Metro Trains in major cities allow for contactless payment by allowing passengers to pay for their fare by tapping their card.

4. Healthcare

Contactless technologies are increasingly being used in the healthcare sector for applications such as patient identification, tracking medical supplies, and monitoring patient vital signs.

Overall, contactless technologies are powerful and versatile. They have revolutionized many industries like warehousing, payments and e-commerce and they continue to be adopted in new and innovative ways.

About GRhombus Technologies

GRhombus Technologies is among the leading EdTech companies in UK and cyber security companies in UK. Our insightful work and key implementation expertise have delivered powerful transformations to clients and created enduring value. We also offer test automation services in India and custom software development in UK. We are also well-versed in the Force.com development platform and can undertake key customisation and advanced automation functions based on the business needs. For more details, contact us.