Free e-book: Discover the world of AIoT
E-book: Discover the world of AIoT
Home » BLE Mesh Implementation for Smart Home

BLE Mesh Implementation for Smart Home

BLE Mesh Implementation for Smart Home

In a nutshell

This case study delves into a significant project undertaken by a needCode engineer to implement BLE Mesh technology for a client’s processors, specifically designed for Smart Home applications. The engineer’s responsibility extended to developing a comprehensive application, referred to as the Gateway, for Android and iOS platforms. The application included network diagnostic tools for efficient mesh network management. The project’s timeline spanned nearly two years, during which rigorous testing and optimizations were conducted, resulting in one of the finest solutions in the market.

Project overview

Project Duration:

03.2020-03.2022

Team Setup:

Grew from 1 x Embedded Software Engineers to 4 x Embedded Software Engineers + 1 x DevOps Enginner

Technology:

C, BLE, BLE Mesh, Python, Jenkins, Android, iOS

Client Requirements

The client, a prominent player in the Smart Home industry, sought to incorporate BLE Mesh technology into their processors. They envisioned a robust and seamless mesh network management application that would empower Smart Home users to control and monitor their devices effortlessly. The primary goals were to achieve a highly accurate BLE Mesh implementation, develop automated certification tests, and create a user-friendly management application compatible with Android and iOS devices.

Project Scope

The project encompassed the following key objectives:

  • Implementing BLE Mesh technology on the client’s processors, ensuring seamless integration with Smart Home devices.
  • Developing a comprehensive Gateway application for Android and iOS platforms, facilitating network diagnostics and efficient mesh network management.
  • Conducting extensive testing, including automated certification tests, to validate the accuracy and reliability of the BLE Mesh implementation.
  • Improving the application’s performance by transitioning from slow Python libraries with a command-line interface to a fast and interactive mode.
  • Ensuring network performance tests in various environments to guarantee the application’s efficacy.

Approach

The needCode engineer adopted a meticulous approach to achieve the project goals:

  • Collaborated closely with the client to gain a comprehensive understanding of their requirements and objectives.
  • Explored and implemented BLE Mesh technology on the client’s processors, carefully addressing compatibility and integration challenges.
  • Leveraged the engineer’s expertise in mobile application development to create the Gateway for Android and iOS platforms.
  • Designed and integrated network diagnostic tools into the application to facilitate efficient mesh network management.
  • Conducted exhaustive testing, both automated and on real devices, to validate the BLE Mesh implementation and application performance.
  • Iteratively optimized the application based on feedback and test results, ensuring a high-quality and user-friendly experience.

Business Impact

The successful implementation of BLE Mesh technology and the development of the Gateway application had a profound impact on the client’s business and the Smart Home industry as a whole:

  • Enhanced User Experience: The Gateway application empowered Smart Home users with seamless control and monitoring of their devices, leading to improved user satisfaction and loyalty.
  • Increased Market Competitiveness: The highly accurate BLE Mesh implementation and user-friendly application positioned the client’s processors and Smart Home devices as a leading choice in the market, gaining a competitive advantage over rivals.
  • Time and Cost Savings: The automation of certification tests and extensive real-device testing reduced product development time and ensured higher reliability, ultimately saving costs for the client.
  • Strengthened Partnership: The successful completion of the project reinforced the partnership between the client and needCode, fostering future collaborations and mutual growth.

Results and Achievements

The needCode engineer’s diligent efforts and expertise culminated in significant results and achievements:

  • Successful implementation of BLE Mesh on the client’s processors, enabling seamless communication and control among Smart Home devices.
  • Creation of a feature-rich Gateway application for Android and iOS platforms, allowing users to manage their mesh networks effortlessly.
  • Automation of certification tests, ensuring a high-quality and reliable BLE Mesh implementation.
  • Transition from slow Python libraries to a fast and interactive application, significantly improving user experience and performance.
  • Positive customer feedback and recognition for delivering one of the best solutions in the Smart Home industry.

Conclusion

The needCode engineer’s relentless commitment to excellence and technical prowess resulted in a highly accurate BLE Mesh implementation and a powerful Gateway application for Smart Home devices. Through rigorous testing and optimizations, the engineer successfully delivered a top-tier solution that exceeded the client’s expectations. The seamless integration of BLE Mesh technology and the user-friendly application had a remarkable business impact, elevating the client’s market position and solidifying their partnership with needCode. This case study exemplifies the significance of cutting-edge technology and innovative mobile applications in transforming the Smart Home landscape and delighting customers with enhanced control and convenience.

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
© 2024 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.