Embedded systems

Services

Embedded systems

To learn more about the services that we offer, please click the button below.

Firmware development

At Blue Lighting Solutions, we design, develop, and deliver embedded firmware for a range of devices, including low-power wireless devices, EV charging controllers, heating and lighting controllers, remote IoT logging devices, smart energy metering and more.

With an in-depth knowledge of digital circuit design, hardware clock signals, timing diagrams and other hardware technologies, we can develop firmware ranging from low-level drivers to full software architecture.‍

We use the very latest development tools, including Keil MDK, Segger Embedded Studio and Eclipse CDT, among others.
We can work with a wide range of processor architectures, including ARM Cortex-M, PIC, AVR, SAM, and MSP430.
Bare metal solutions
RTOS-based systems using FreeRTOS

System architecture

To ensure your requirements are met, it’s critical that we get your system architecture right from the start. Our skilled and experienced team will listen carefully to your requirements, before designing and implementing the most effective architecture for your embedded system.

This could be as simple as designing a solution to meet a power budget, or working the requirements of a specific technology or design to meet form factor requirements. We provide architectures that integrate other system requirements, including sensors, analogue and digital inputs and outputs, and more. We can provide solutions for mains-connected or battery-powered systems.

Designing and implementing system architectures for embedded systems
Developing architectures for a range of different systems such as power-constrained and cost-constrained systems
Providing architectures that integrate other system requirements such as:
Sensors
Analogue inputs
Digital inputs
Analogue outputs
Digital outputs
Power management
Battery charging
Software-defined power supplies

IoT solutions

IoT solutions help to build networks of IoT devices, reducing complexity, ensuring efficiency, and driving innovation across a wide range of industries.

Our skilled and experienced IoT device designers, software developers, and product manufacturers design and develop IoT solutions, enhance the functionality of existing devices, and implement secure solutions.
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Connecting existing devices to the internet for enhanced functionality
Developing new dedicated IoT devicesConnecting to cloud-based services, such as Azure and AWS
Developing gateway and concentrator units to provide internet access to IoT nodes
Developing solutions that utilise:
Wi-Fi
Zigbee
BLE/Bluetooth
Ethernet TCP/IP
Cellular (3G/4G/LTE)
Security-conscious implementations to reduce the risk of attack or exploitation, including:
No default passwords used
Latest firmware encryption techniques
Firmware image validation
Device tamper protection

Communications protocols

Communications protocols are sets of rules that enable two or more communication systems to exchange data via a physical medium. Within embedded systems, the components need to communicate with each other in order to provide the required output.

We can develop embedded systems interfacing with all common automation protocols, design systems that utilise on-board protocols, and more.

Developing embedded systems that can interface to all common industrial automation protocols, including:
Modbus (RTU, ASCII, TCP/IP)
HART
Profibus
EtherCat
CIP
Ethernet/IP
Designing systems that use on-board protocols, such as:
I2C
SPI/QSPI
I2S
UART
PDM/PWM
Develop systems that use wired connections such as USB for both data transfer and charging
Create wireless connections from integrated system-on-chip and separate modules, such as:
BLE/Bluetooth
Zigbee
Thread
Wi-Fi
Cellular (2G/3G/4G/5G)
NFC

Machine learning/AI

Through machine learning and AI, electronic systems can learn autonomously from existing data and use this knowledge to independently make assessments, predictions, and decisions.

Embedded devices for machine-learning applications can fulfil many tasks in a range of industries. Our skilled and experienced team develop embedded machine-learning and AI devices for a wide range of applications, develop edge processing systems, and implement machine learning on resource-limited embedded systems.

Developing embedded machine-learning/AI devices for numerous applications, such as:
Condition-based monitoring
Predictive fault detection
Digital twin
Performance tracking
Developing edge processing systems using technology such as AWS IoT Greengrass
Implementing machine learning/AI on resource-limited embedded systems
Using machine learning/AI to reduce required bandwidth when uploading data to the cloud
Using machine learning/AI to reduce required data storage space