Free e-book: Discover the world of AIoT
E-book: Discover the world of AIoT
Home » Modernizing and Safeguarding an IoT Fire Protection System

Modernizing and Safeguarding an IoT Fire Protection System

Modernizing 
& Safeguarding 
an IoT Fire 
Protection System CS

In a nutshell

The following case study details the development of a home appliance project. The project focused on product architecture and connectivity to improve safety, efficiency, and usability in residential settings.

The project involved:

  • Enhancing an existing fire protection system.
  • Integrating modern technologies like Bluetooth Low Energy (BLE).
  • Enhancing functionality through software development.

Project overview

Project Duration:

10.2023 - Now

Team Setup:

Embedded Software Developer

Technology:

Bluetooth Low Energy (BLE), Nordic Semiconductors, IR heat sensors

Client Requirements

Our client is a Nordic-based designer and manufacturer of fire safety products, with over 400 000 installations worldwide. The project began with precise client requirements to enhance their system, a fire safety mechanism for electric stoves. The underlying objective was to prepare the product for market launch. Client requirements also included:

  • Integration of BLE for remote monitoring
  • Compatibility with a dedicated mobile application

Project Scope

The project included several vital aspects:

  • Hardware-software integration for seamless operation
  • Regulatory compliance for safety certifications
  • Comprehensive quality assurance processes

Approach

To realize the client’s vision and reach the project’s objectives, needCode’s Embedded Software Engineer implemented the following method:

  • Phased development approach to manage complexity
  • Rigorous testing protocols to ensure reliability
  • Iterative improvements based on feedback and testing results

Challenges and Goals

Several challenges were encountered throughout the project, such as:

  • Building a new, modern fire protection IoT system based on BLE
  • Real-time data synchronization between stove sensor, control unit, and mobile application
  • Crafting solutions to ensure system reliability and user safety, such as many unit tests, verifying that each component of the IoT system works properly.

Results and Achievements

The project team achieved significant milestones, including successfully integrating BLE technology, enhancing fire safety features, and preparing for market launch. 

Moreover, partnership with needCode provided the following results:

  • Successful integration of BLE technology for remote monitoring and control
  • Enhancement of fire safety features and functionalities, including designing and running PST (Power-on Self Test) and POST (Power-on Self Test) tests
  • Building the software architecture for the project, i.e., ensuring secure and seamless interactions between IoT device—the fire safety mechanism for electric stoves—and the mobile app
  • Readiness for market launch with improved safety standards, including adapting the software for required home appliance certifications
  • Creation of the Error Handler, ensuring the system operates reliably under various conditions and can recover quickly from faults to minimize downtime and maintain functionality. Also, to handle fallback to a defined state with error code indication, from non-recoverable errors
  • Ensuring proper authentication processes, only allowing the dedicated mobile application to connect with the IoT device

Conclusion

We were approached by the client with an IoT device that has been on the market for almost 20 years, and needed to be built anew to meet today’s expectations. The home appliance project showcases needCode expertise in building new systems with modern technology and ensuring compliance with safety standards. Client relied on needCode’s expertise to build a seamless IoT system architecture, optimizing reliability and connectivity. Thanks to thorough QA processes and testing protocols, the IoT fire protection device became market-ready, achieving the underlying goal. This case study highlights our contributions to innovation and safety in BLE technology and embedded systems.

Key points

Do you need Smart Innovations?

Book a free discovery call and let's unlock new possibilities

Also interesting

More case studies

Let's work on your next project together

Book a demo and discovery call with our CEO
to get a look at:
IoT Strategic Roadmap
Smart Product Development & Optimization
Cybersecurity & Consulting
Staff Augmentation
Bartek Kling
Bartek Kling
CEO
© 2025 needCode. All rights reserved.

Manufacturing

Modern manufacturing machines are typically equipped with IoT sensors that capture performance data. AIoT technology analyzes this sensor data, and based on vibration patterns, the AI predicts the machine's behavior and recommends actions to maintain optimal performance. This approach is highly effective for predictive maintenance, promoting safer working environments, continuous operation, longer equipment lifespan, and less downtime. Additionally, AIoT enhances quality control on production lines.

For example, Sentinel, a monitoring system used in pharmaceutical production by IMA Pharma, employs AI to evaluate sensor data along the production line. The AI detects and improves underperforming components, ensuring efficient machine operation and maintaining high standards in drug manufacturing.

Logistics & supply chain

IoT devices - from fleet vehicles and autonomous warehouse robots to scanners and beacons - generate large amounts of data in this industry. When combined with AI, this data can be leveraged for tracking, analytics, predictive maintenance, autonomous driving, and more, offering greater visibility into logistics operations and enhancing vendor partnerships.

Example: Amazon employs over 750,000 autonomous mobile robots to assist warehouse staff with heavy lifting, delivery, and package handling tasks. Other examples include AI-powered IoT devices such as cameras, RFID sensors, and beacons that help monitor goods' movement and track products within warehouses and during transportation. AI algorithms can also estimate arrival times and forecast delays by analyzing traffic conditions.

Retail

IoT sensors monitor movement and customer flow within a building, while AI algorithms analyze this data to offer insights into traffic patterns and product preferences. This information enhances understanding of customer behavior, helps prevent stockouts, and improves customer analytics to drive sales. Furthermore, AIoT enables retailers to deliver personalized shopping experiences by leveraging geographical data and individual shopping preferences.

For instance, IoT sensors track movement and customer flow, and AI algorithms process this information to reveal insights into traffic patterns and product preferences. This ultimately leads to better customer understanding, stockout prevention, and enhanced sales analytics.

Agriculture

Recent research by Continental reveals that over 27% of surveyed farmers utilize drones for aerial land analysis. These devices capture images of crops as they are and transmit them to a dashboard for further assessment. However, AI can enhance this process even further.

For example, AIoT-powered drones can photograph crops at various growth stages, assess plant health, detect diseases, and recommend optimal harvesting strategies to maximize yield. Additionally, these drones can be employed for targeted crop treatments, irrigation monitoring and management, soil health analysis, and more.

Smart Cities

Smart cities represent another domain where AIoT applications can enhance citizens' well-being, facilitate urban infrastructure planning, and guide future city development. In addition to traffic management, IoT devices equipped with AI can monitor energy consumption patterns, forecast demand fluctuations, and dynamically optimize energy distribution. AI-powered surveillance cameras and sensors can identify suspicious activities, monitor crowd density, and alert authorities to potential security threats in real-time, improving public safety and security.

For example, an AIoT solution has been implemented in Barcelona to manage water and energy sustainably. The city has installed IoT sensors across its water supply system to gather water pressure, flow rate, and quality data. AI algorithms analyze this information to identify leaks and optimize water usage. Similarly, smart grids have been introduced to leverage AI to predict demand and distribute energy efficiently, minimizing waste and emissions. As a result, these initiatives have enabled the city to reduce water waste by 25%, increase renewable energy usage by 17%, and lower greenhouse gas emissions by 19%.

Healthcare

Integrating AI and IoT in healthcare enables hospitals to deliver remote patient care more efficiently while reducing the burden on facilities. Additionally, AI can be used in clinical trials to preprocess data collected from sensors across extensive target and control groups.

For example, intelligent wearable technologies enable doctors to monitor patients remotely. In real-time, sensors collect vital signs such as heart rate, blood pressure, and glucose levels. AI algorithms then analyze this data, assisting doctors in detecting issues early, developing personalized treatment plans, and enhancing patient outcomes.

Smart Homes

The smart home ecosystem encompasses smart thermostats, locks, security cameras, energy management systems, heating, lighting, and entertainment systems. AI algorithms analyze data from these devices to deliver context-specific recommendations tailored to each user. This enables homeowners to use utilities more efficiently, create a personalized living space, and achieve sustainability goals.

For example, LifeSmart offers a comprehensive suite of AI-powered IoT tools for smart homes, connecting new and existing intelligent appliances and allowing customers to manage them via their smartphones. Additionally, they provide an AI builder framework for deploying AI on smart devices, edge gateways, and the cloud, enabling AI algorithms to process data and user behavior autonomously.

Maintenance (Post-Release Support)

When your product is successfully launched and available on the market we provide ongoing support and maintenance services to ensure your product remains competitive and reliable. This includes prompt resolution of any reported issues through bug fixes and updates.

We continuously enhance product features based on user feedback and market insights, optimizing performance and user experience.

Our team monitors product performance metrics to identify areas for improvement and proactively addresses potential issues. This phase aims to sustain product competitiveness, ensure customer satisfaction, and support long-term success in the market.

Commercialization (From MVP to Product

Our software team focuses on completing the full product feature range, enhancing the user interface and experience, and handling all corner cases. We prepare product software across the whole lifecycle by providing all necessary procedures, such as manufacturing support and firmware upgrade.

We also finalize the product's hardware design to ensure robustness, scalability and cost-effectiveness.

This includes rigorous testing procedures to validate product performance, reliability, and security. We manage all necessary certifications and regulatory compliance requirements to ensure the product meets industry standards and legal obligations.

By the end of this phase, your product is fully prepared for mass production and commercial deployment, with all documentation and certifications in place.

Prototyping (From POC to MVP)

Our development team focuses on implementing core product features and use cases to create a functional Minimum Viable Product (MVP). We advance to refining the hardware design, moving from initial concepts to detailed PCB design allowing us to assemble first prototypes. Updated documentation from the Design phase ensures alignment with current project status. A basic test framework is established to conduct preliminary validation tests.

This prepares the product for real-world demonstrations to stakeholders, customers, and potential investors.

This phase is critical for validating market readiness and functionality before proceeding to full-scale production.

Design (From Idea to POC)

We meticulously select the optimal technology stack and hardware components based on your smart product idea with detailed use cases and feature requirements (Market Requirements Document / Business Requirements Document). Our team conducts thorough assessments of costs, performance metrics, power consumption, and resource requirements.

Deliverables include a comprehensive Product Requirements Document (PRD), detailed Software Architecture plans, an Initial Test Plan outlining validation strategies, Regulatory Compliance Analysis to ensure adherence to relevant standards, and a Proof of Concept (POC) prototype implemented on breakout boards.

This phase aims to validate the technical feasibility of your concept and establish a solid foundation for further development.

If you lack a validated idea and MRD/BRD, consider utilizing our IoT Strategic Roadmap service to gain insights into target markets, user needs, and desired functionality. Having a structured plan in the form of an IoT Strategic Roadmap before development begins is crucial to mitigate complications in subsequent product development phases.