IoT Platform Development
Transforming the process of innovation
Exploring, deepening, and applying cutting-edge technologies in areas like automation, data science and the Internet of things, now INTERA is strongly betting in developing embedded AI solutions and accelerators focusing on optimizing computing performance, to make AI applications more efficient and more accesible to people.
IoT Platform and Application Development
At INTERA, a holistic approach to IoT application development likely involves considering multiple facets, including device hardware, software, data analytics, security, and user experience.
We emphasise on creating comprehensive and integrated IoT solution that meet the needs of users and stakeholders, ultimately driving business value and innovation through connected technologies.
Our IoT Platform and Application development services include:
Purpose and Requirement Specification
At INTERA it involves articulating the problem it aims to solve, the primary objectives it seeks to achieve, and the specific functionalities needed to meet user needs and expectations.
This step requires gathering input from stakeholders, understanding user needs, identifying constraints, and establishing criteria for success, which will serve as the foundation for system design and development, ensuring that all subsequent steps align with the intended goals.
IoT Level Specification
For INTERA choosing the IoT application deployment includes the scale of deployment, the complexity of the application, the target user base, infrastructure capabilities, integration with existing systems and security requirements.
Depending on these considerations, clients may opt for edge computing for real-time processing, cloud deployment for scalability and storage, or hybrid solutions that balance local and cloud.
Application Development
To develop the application code for the IoT system, we will integrate the previously designed components, including hardware, software, and communication protocols.
For our programming we use languages such as Python, C++, or Java to create the necessary algorithms and data processing scripts and implement them on the selected microcontroller or single-board computer. Additionally, we will use libraries and frameworks such as MQTT, HTTP, or CoAP to enable communication between devices and the cloud or server, ensuring secure data transmission and reception. The code will be designed to collect and process sensor data, perform analytics, and trigger actions based on predefined rules, while also providing a user-friendly interface for monitoring and controlling the IoT system.
Information Model Specification
For us the information model defines the structure of all the information in the IoT system.
We begin by identifying the virtual entities relevant to the domain, which serve as the foundational components of the model. Once these entities are established, we can enhance the model by detailing their attribute and characteristics that provide specific information about each entity. This structured approach ensures a comprehensive representation of the information ecosystem.
Device and Component Integration
For us this step requires careful consideration of connectivity, interoperability, data processing, and security. We also use RTOS (real time OS) or general-purpose embedded Linux.
This way individual devices such as sensors, computing devices, memory, and other components are combined and interconnected on a single circuit board or a single chip, enabling efficient data processing, communication, and control between various components.
Problem Solved?
Our IoT platform and application development addresses a range of practical challenges by enabling devices to connect, communicate, and work together seamlessly. Here’s a breakdown of the key problems solved:
Device Interoperability:
IoT platforms provide a unified framework to connect diverse devices sensors, appliances, machines—that often use different protocols or standards. This solves the problem of fragmented ecosystems, allowing, say, a smart thermostat to talk to a smart lighting system effortlessly.
Scalability:
As the number of IoT devices grows—think smart homes, cities, or industrial setups—managing them manually becomes impractical. IoT platforms offer scalable architectures to onboard, monitor, and control thousands or millions of devices without breaking a sweat.
Data Management and Processing:
IoT generates massive amounts of data from connected devices. Platforms solve the challenge of collecting, storing, and analyzing this data in real time, turning raw inputs (like temperature readings or motion sensor triggers) into actionable insights for businesses or users.
Remote Monitoring and Control:
IoT applications enable users to oversee and manage systems from anywhere. For example, farmers can monitor soil moisture levels remotely, or factory managers can adjust machinery settings in real time, solving the problem of physical distance and inaccessibility.
Our methodology
For our programming we use languages such as Python, C++, or Java to create the necessary algorithms and data processing scripts and implement them on the selected microcontroller or single-board computer. Additionally, we will use libraries and frameworks such as MQTT, HTTP, or CoAP to enable communication between devices and the cloud or server, ensuring secure data transmission and reception. The code will be designed to collect and process sensor data, perform analytics, and trigger actions based on predefined rules, while also providing a user-friendly interface for monitoring and controlling the IoT system.
INTERA is made up of the most committed professionals in Europe who collaborate with clients to work towards creating the most advanced AI solutions & chip accelerators.
The company has developed innovative solutions for various applications, advancing the state of the art and creating value for its customers and partners.
