IoT System Integration
IoT system integration enables data sharing, analysis, and collaboration across a wide range of applications and custom software's, it is a critical component in realizing the full potential of the Internet of Things. With the advent of technology and worldwide connectivity, smart devices are becoming increasingly popular among today's consumers. IoT – aka the Internet of Things - is a rapidly emerging technology that has become part of our daily lives. It offers various applications that transform multiple business and industry sectors.
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IoT Technology and System Integration
While highly intellect IOT-base devices have advance many folds, most still function as standard applications. As more businesses embrace IoT technology, system integration becomes more imperative.
IoT integration benefits extend beyond short-term economic needs. It also improves customer satisfaction and reduces operating costs. Companies can create a more productive and cost-effective process by merging diverse systems. This reduces manual labor, frees up resources for other purposes, and increases client satisfaction.
Integration of IoT systems is critical for security. Companies can better protect their data and ensure their systems resist malicious attacks by combining many technologies into a single platform. Importantly, firms can better monitor their systems. These standalone applications are constantly tests for integration as part of the integration. Many solutions are available widely. IoT System integration connects many systems to a single platform, allowing more effective data collection and analysis.
This helps businesses understand client desires and enhance service quality. Furthermore, system integration helps organizations adhere to data security and privacy regulations. In the future, every company’s growth strategy will include IoT systems. Businesses may reduce operating costs, improve customer experience, and protect data by connecting numerous systems to a single platform.
NLP
Natural language processing (NLP) extracts insights from text using machine learning techniques and NLP models. Linkitsoft builds custom NLP applications, leveraging state-of-the-art techniques like transformers, word embeddings, and optimized NLP models. With expertise in key NLP techniques, we help you gain strategic value from documents, emails, social media, and other text data. Using proven strategies and models, you can boost your business to develop impactful NLP solutions tailored to your needs.
Text to speech
Text-to-speech (TTS) and speech-to-text conversion enhance user experiences with natural voice interfaces. Linkitsoft integrates high-quality TTS using cloud APIs and frameworks to power text-to-speech readers and other applications. Our conversational AI expertise enables your apps’ seamless speech synthesis and speech recognition capabilities. Boost your business by utilizing the latest speech-to-text and text-to-speech reader technologies to enhance communication proficiency.
Chatbot
Artificial intelligence chatbots are designed to optimize customer engagement using NLP and machine learning. What is chatbot refers to virtual agents with natural conversations and robust capabilities.We have a highly skilled team of experts in conversational AI and natural language processing. We use cutting-edge deep learning techniques and other AI advancements to create personalized chatbots that cater to your specific requirements. Our chatbots are designed to understand and respond to natural language queries, ensuring seamless communication with your customers.
Pattern Recognition
Pattern recognition and machine learning go hand in hand to extract insights from real-world data. Linkitsoft specializes in building custom systems for image recognition, signal detection, and other complex classification tasks involving both pattern recognition machine learning techniques, pattern recognition, and machine learning combined. Our team of programmers leverages advanced techniques like neural networks, clustering, and dimension reduction to unveil hidden patterns.
Machine Learning
Machine learning, offered as both a service and a consulting service, drives strategic value by finding patterns in data. Linkitsoft provides full-lifecycle machine learning consulting services, from ideation to production deployment. Our experts leverage leading Machine learning frameworks to develop impactful AI solutions adapted to your needs. We also offer machine learning as a service, allowing you to leverage our ML expertise without building in-house capability.
Machine Learning Libraries
Python libraries for machine learning, including TensorFlow, PyTorch, and SciKit-Learn, provide a complete solution for all machine-learning applications. Linkitsoft leverages these robust machine learning software frameworks to build custom deep learning, computer vision, NLP, and predictive modeling solutions. Our ML developers’ architect can customize scalable systems that solve real-world problems. By utilizing the capabilities of powerful Python libraries for machine learning, you can boost your business with AI.
TensorFlow
TensorFlow, including TensorFlow.js, enables scalable deep learning development and deployment for various applications. Linkitsoft has extensive experience leveraging TensorFlow for natural language processing, computer vision, and other AI applications. We can assist you in training custom models using TensorFlow’s flexible architecture and wide range of tools, including TensorFlow.js for web-based machine learning solutions.
PyTorch
PyTorch, along with its versatile PyTorch DataLoader and PyTorch Dataset features, provides powerful capabilities for neural network development. Our team exclusively utilizes PyTorch, including PyTorch DataLoader and Dataset, for swift prototyping and deploying models. We harness PyTorch’s speed and dynamic graphs to create custom solutions tailored to your needs.
Deeplearning4j
Deeplearning4j, known for its enterprise-grade deep learning capabilities in Java and Scala, offers a robust foundation for cutting-edge applications. Linkitsoft specializes in developing custom Deeplearning4j-based solutions for various use cases, including computer vision with Deeplearning4j image recognition and natural language processing. We harness Deeplearning4j’s performance and productivity while offering advanced Deeplearning4j visualization for comprehensive insights to address your unique needs.
Foodosti - Food Delivery Application
Foodosti is a food delivery startup in Kentucky that wanted to give restaurants and customers an inexpensive and smarter alternative to expensive apps like DoorDash and Uber Eats. We helped turn their idea into a real app with a driver bidding system, where riders set their own delivery prices. The app launched in Lexington, Kentucky, and quickly became a hit with both customers and delivery drivers.
Mr. Cod (Order Wave – Self-Ordering Kiosk)
Mr. Cod is an excellent restaurant that first made its debut in the UK in 1979. Its specialty can be found in its British-style fish and chips and American-style fried chicken. Due to providing affordable packages and awesome taste, they had a lot of people visiting their restaurant daily, making it harder to remember orders and keep track of daily taxes. This is where Linkitsoft stepped in and successfully made all of this much easier and quicker with Order Wave.
BVEND - Smart Vending Machine Application
BVEND is an innovative vending machine operator delivering self-service retail solutions for teenagers. With a special focus on schools, BVEND has quickly become a favorite among students by making snacks and drinks more fun and accessible. When they were starting, there were some gaps; BVEND wanted to create a secure, cashless environment where students could make purchases using preloaded ID cards topped up by their parents. Due to this unique system, BVEND realized that the general kind of software wouldn’t work for them. They required a custom-built system. That’s where we came in and helped them build a centralized platform.
DONUT TRAP - Smart Donut Vending Application
Donut Trap is a lovely and proud donut, ice cream, and coffee business. Whenever their customers have a craving, they’re always there to satisfy their sweet tooth! Thanks to their delicious treats, Donut Trap was already up and running. However, the owner wanted to do more: this was automating their business. This way, they would be able to keep track of their sales and inventory better than they can manually. This is exactly where Linkitsoft helped!
JTI - Modern Tourism Application
JTI is a tourism initiative that wanted to make travel easier for both locals and international visitors. They noticed that tourists often had to jump between many apps and websites to book hotels, find attractions, arrange transportation, or get personal recommendations. This created confusion and wasted time. We worked with JTI to build a single mobile app that brings everything together. Be it hotel bookings, attractions, transport, and tailored suggestions. The JTI app was created to make trip planning simple, support local businesses, and improve the overall travel experience for Malaysian tourists.
Uvendtech - Smart User Centric Vending App
UvendTech, a vending machine operator in Malaysia, had recently upgraded to a new fleet of smart vending machines. However, the pre-installed software created multiple challenges: it was rigid, didn’t support local payment methods, made daily operations difficult, and lacked smooth backend integrations for easy management.We developed custom vending software to address all these gaps. Our team added local payment options, streamlined backend integrations, and simple management tools. This turned the machines into a user-friendly platform that was easy to operate, efficient, and ready to scale.
Showdrop - Custom Vending Software
Showdrop brings a new product sampling method to people. It does so with smart vending machines placed in busy grocery stores. Instead of awkward handouts or random freebies, shoppers can simply walk up, tap the screen, and grab a free sample on the spot. We helped turn this vision into reality with vending software that powers the entire experience. Now, shoppers get uninterrupted product samples, and brands finally have the tools to measure the impact and engagement without the old “guessing” method.
PrayOS Kiosk App - Donation Made Easy
PrayOS is a business that helps individuals and religious organizations stay connected in meaningful ways. People were facing challenges in expressing their prayers and supporting their community. This is where the client decided to use tech to help people feel connected to their faith. We worked with PrayOS to create a kiosk system that would allow people to submit prayers for both the living and the deceased. They’re easily able to make donations and receive support from their leaders. The kiosk is powered by AWS, ensuring reliability and top-tier security.
Photobrick - Photo Recreation Kiosk Application
Photobrick helps people preserve their memories in a unique and creative way. Many struggle to find lasting methods to capture their life journey and emotions, which is why Photobrick introduced a clever design approach to turn photos into personalized bricks that tell expressive stories. We worked with Photobrick to establish a custom process where specialist designers design every image for top quality. Customers receive a preview for approval before production, ensuring complete satisfaction. Photobrick delivers memorable experiences backed by strong customer support and feedback.
COLBR - Secure Investing for everyday
COLBR is the first global, 100% digital investment platform business that helps customers and financial advisors manage their wealth more smoothly. With COLBR, individuals gain access to exclusive investment opportunities. This ranges from life insurance and private equity to real estate and retirement plans. We worked with COLBR to design a system that would fix complicated approval steps. Linkitsoft designed two portals: one for customers and one for admins. This way, customers get a clear path to complete their onboarding, while advisors can validate information, manage profiles, and keep everything moving without delays.
Noomee Case Study - E-commerce Mobile app
Noomee is a cross-platform e-commerce app. It’s built for a client in Italy who wanted to simplify the online shopping experience. Customers were struggling with complex checkout flows and the lack of intuitive product search options. The client’s initial idea was to create a solution that made buying online safer and more convenient. So Linkitsoft’s experts collaborated with the client to develop a mobile app. It integrated a secure payment gateway with minimal steps and additional unique features, giving shoppers confidence and ease at checkout.
Jood - Donation Kiosk Application
Jood is a custom donation kiosk app built by Linkitsoft. It makes the donation process a whole lot easier. Many organizations struggle with tracking, managing, and collecting donations effectively. Our client wanted to build a platform that solves that. We built Jood. It solves this by offering an intuitive, secure platform that guarantees transparency and ease of use. This helps the client keep proper records with less hassle and more impact.
Texas Haunters Convention - Badge Printing Kiosk
Texas Haunters Convention wanted a quick and easy way to print badges for attendees without long lines or manual work. They needed a self-service system that could handle thousands of registrations smoothly and reduce staff effort at the check-in desk. We built a custom badge printing kiosk software that lets attendees check in and print their badges instantly using a touchscreen system. The solution worked perfectly at the event, cutting down waiting time and giving visitors a smooth and professional check-in experience.
Vendy - Vending Machine Application
Vendy is a modern, smart vending software that lets users make quick, contactless purchases directly from their smartphones. By scanning a QR code, customers can browse products, pay digitally, and instantly receive their selected items. It works without cash. It’s designed to make everyday buying effortless and hygienic, offering real-time updates and secure payments. This gives a smooth user experience that keeps their vending machines relevant and reliable in today’s digital world.
Johor Environmental System - Sustainability-Focused Mobile App
Johor Environmental System is a sustainability-focused mobile app developed by Linkitsoft. It empowers the Johorians in their eco-conscious journey. The client’s complaint? Environmental problems. So we built a platform that’s packed with tips, resources, and tools. It helps users reduce waste, save energy, and discover eco-friendly products. We made a solution designed to promote sustainable living while supporting local green initiatives.
What Are IoT Systems?
Before delving into the details of IoT system integration, it is worthwhile to explain what IOT systems are and how they work. An Internet of Things (IoT) system is a network system of link smart or computing devices. They can perform data transfer without computer or human-computer or human-human contact. They form an ecosystem by interacting with each other. A combination of mechanical and digital devices, objects, animals, or humans having distinctive identifiers is known as the “Internet of Things,” or “IoT”.
What Is The Integration Of IoT Systems?
To develop end-to-end IoT business solutions, IoT integration refers to the integration of already-existing IoT devices, IoT data, IoT platforms, and IoT applications. IoT applications function well as a solution when combined with IT resources including software, business apps, and mobile applications. There is a need for an ecosystem of IoT system integrators because many businesses lack the equipment and skills to select, integrate, and build their own IoT solutions.
Types Of IoT Networks
Building Block Of An IoT System
Four distinct components are integrated to create all IoT systems:
Example Of An IoT-Enabled Environment
Integrated Transport System
An integrate transportation system that can be dynamically route and rearrange in response to shifting traffic needs and conditions is an example of an IoT-enabled environment. Integration of IoT systems will aid in traffic control. A million gigabytes of data from CCTV cameras are generated with IoT-base system integration. This data will help traffic management centers penalize drivers and monitor ongoing traffic.
Integrated IoT systems also include smart parking, autonomous traffic signal systems, and smart accident assistance. The majority of modern automobiles today have IoT connectivity Iot-base toll and ticketing will allow faster toll and ticketing service thanks to the Internet of Things integration.
Nowadays, any car, even if it is a kilometer away from the tolling station, may be easily spotted using IoT technologies. This will allow an uplifting barrier before the vehicle can pass through. A self-driving car is a car that drives itself without the need for a driver. IoT system integration will also help with self-driving cars.
A self-driving car utilizes millions of sensors to monitor upcoming traffic and the human in front of them. Millions of sensors are combine into a Smart car with a driver. Sensors in self-driving cars employ IoT to continuously gather and transmit data about their surroundings in real-time to a central unit or the cloud.
The technology analyses data in seconds, allowing self-driving cars to operate base on the information provided. This means that the Internet of Things connects the sensor network for self-driving automobiles, allowing them to function properly.
Integrated Healthcare System
IoT has been use to monitor patient recovery and assess it against several characteristics specific to the patient using IoT-enable devices.
The collected data can also be utilize to compare global patient responses to therapy in different environmental conditions. Smart IoT devices can also monitor and control energy use.
IoT can be used to manage production in agricultural and food production by monitoring and recording variables that influence food production such as weather, politico-economic indicators, natural catastrophes, consumption, crop and animal diseases, and so on.
The prevalence of IoT devices and services, as well as assisted living, can help to address the requirement for independent living for the growing number of persons living with physical impairment, long-term conditions, and social and age-related difficulties.
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Clients We Have Worked With
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What is IoT Basic Architecture?
An IoT architecture is comprise of three parts.
- Physical sensing layer
- IoT middleware
- Application Layer
Physical Sensing Layer
The physical sensing layer includes embed devices that use sensors to collect real-world data. The gateway layer implements the mechanisms and protocols that allow devices to disclose their sensed data to the Internet (e.g. Wi-Fi, Ethernet, GSM, etc.).
IoT Middleware
The middleware layer supports and handles communication between the sensed actions in the actual world and the application layer.
Application Layer
The application layer maps onto applications that consumers can use to deliver commands to real-world objects over the Internet via mobile apps, web apps, and so on.
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Why Should You Consider IoT System Integration?
Most technological solutions provide numerous possibilities for each layer of the IoT stack. An IoT system integrator can help you understand your options and decide whether you need to go on a hardware and software buying spree or if a “per-device-per-month” integrate solution makes more sense.
IoT Deployments Have Never Been Easier
A company that provides CTO as a service should have strong technical credentials, such as an engineering or technical degree. Furthermore, they must have essential knowledge and at least two or three years of experience working as a CTO in at least one firm.
The Internet of Things (IoT) Venture Involves the Development Ecosystem
The Internet of Things is an ecosystem of connected applications and systems, including sensors, devices, data analytics, enterprise-user apps, and a platform to streamline operations. System integrators are the ideal person to execute the project.
Expertise in a Specific Field
Solution providers interact with IoT factory application integrators to connect IoT devices to the backend. Integrators have deep knowledge of the domain, but not of the technologies and implementation.
Departmental Interconnectivity
By integrating your IoT systems with your enterprise systems, you can use that data for actionable insights.
Initiate and Build It Up
Start small with IoT projects and collaborate with multiple departments to ensure an efficient deployment. Keep in mind the return on investment before anything else.
Product Commercialization
Companies that rely heavily on IoT can benefit from strategic partnerships between different industry-leading organizations, such as service providers, solution integrators, and original equipment manufacturers.
The Link between System Integrators & IoT Deployments
As the number of devices increases, the complexity of IoT deployment also increases significantly.
Network Integrators simplify the entire process of developing and launching an IoT business solution, from design and development to deployment and maintenance.
System integrators are the sole people capable of bringing disparate elements and vendors within a solution project. These system Integrators support all the layers of the IoT, from sensors to gateways and into the Cloud.
Why do you need IoT system integration?
Interoperability is the ability of different IoT devices and services to communicate information and use that information. The majority of current IoT initiatives concentrate on products and services that cater to various demands but offer limited opportunities for collaboration and connection.
For discussing services, service restrictions, and service plans, they lack a common language. This limits the possibility for resource coordination and reuse, diminishes total system visibility, produces redundant functionality and services, and complicates change management. IoT solutions must support connectivity and interoperability as foundational components to offer the techniques, procedures, and security need to link various devices and services.
IoT devices and services can interact with one another to increase efficiency, ease of use, capabilities, and choice. This can result in economies of scale and possibly decrease unit costs.
A lot of reasons contribute to poor interoperability and connectivity, including:
Lack of standardized description of services
As of right now, there are no standards for the name of IoT device services, data, or descriptions. Assimilation has been made difficult as a result of this. Despite recent developments in context awareness and data management using Ontology Web Language (OWL) semantic web technologies. There are no standard methodologies for describing IoT services at both the high and low semantic levels. We have seen these naming conventions grow diversified as a result of cultural. And societal backgrounds, or coding practices. With unique labels being employed to designate comparable or the same item. The solution for integrating heterogeneous IoT will rely significantly on integrated modeling. Approaches to enable effective information collecting and representation of the IoT domain.
Poor device service classification
Device service cataloging base on device categorization is use in some IoT systems. This method allocates services to devices based on the devices’ and services’ unique identifiers. If an inquiry is made to the service or device identification, these services become discoverable. This practice has long aided device and service discovery in IoT systems. But from an M2M standpoint, service discovery remains unconvincing. Thus, if a device fails and is absent from the system. It logs it as an unavailable service even if another device provisioned for the same service with a different unique identifier is present.
Poor context awareness for services
In modern IoT system design, there is still a lack of proper semantics for acceptable service context description. Current IoT systems suffer from insufficient context awareness of services due to inexpertly model semantics spreading different unevenly distribute ontologies and inconsistent semantics for services. A new method is required for modeling and creating rule engines for services for proper context-aware data processing in the IoT arena.
Poor information visualization and analysis
Current methodologies give little room for individualized data collection and visualization. Tailored data visualization and analysis based on an object’s behaviors. And environment can provide critical information on the object’s well-being and the system’s continuous sufficiency.
Triple your ROI from IoT
Finally, IoT system integration is critical for realizing the full potential of IoT technology. Businesses and organizations can gain valuable insights into their operations. Automate processes and create new opportunities for innovation and growth by connecting different devices and platforms.
IoT system integration, on the other hand, can be complex and difficult. Necessitating careful planning, implementation, and management to ensure a smooth and successful integration. Having an experienced company like linkitsoft can help you navigate this process more efficient. Further, improve your desired IoT system integration.
To stay competitive and satisfy their stakeholders’ and consumers’ expectations, firms and organizations should research and invest in this field.
