ARM-Based Embedded System Development Company

Cortex-M Firmware Development for Real-Time Products

The ARM Cortex-M processors are specifically created for microcontroller-based applications where low interrupt latency, compact code, and low power consumption are necessary. The firm develops firmware for Cortex-M0, Cortex-M0+, Cortex-M3, Cortex-M4, Cortex-M7, Cortex-M23, Cortex-M33, Cortex-M55, etc.

Typical applications include industrial sensing, motor control, smart locks, wearable devices, medical electronics, environmental monitors, asset trackers, energy systems, building automation, and battery-powered IoT products.

The development of firmware is possible in C and C++ programming languages; the developers use HAL provided by the vendor as well as CMSIS and hardware abstraction layers. It is possible to create the firmware based on either super-loop working in the bare-metal function mode or an RTOS which is presented as FreeRTOS, Zephyr, ThreadX, or another one respectively.

Development can include:

• GPIO, ADC, DAC, PWM, timers, RTC, watchdog, and DMA
• UART, SPI, I²C, I²S, USB, CAN, CAN FD, LIN, and Ethernet
• Sensor acquisition, filtering, calibration, and diagnostics
• Motor-control loops and actuator management
• Flash storage, external memory, and wear-leveling
• Low-power modes, wake-up sources, and power profiling
• Task scheduling, queues, mutexes, and interrupt-safe communication
• Fault handling, reset-cause tracking, and diagnostic logging

We define timing, memory, and power budgets early so that firmware performance can be measured instead of assumed.

Cortex-A and Embedded Linux Development

Products requiring sophisticated interfaces, high-speed networking, multimedia, computer vision, or local data processing may need an ARM Cortex-A application processor.

Adequate Infosoft provides embedded Linux systems meant for processors like NXP i.MX, STM32MP, Rockchip as well as TI Sitara.

Our Linux engineering services cover bootloader configuration, Linux kernel customization, device trees, board support packages, driver integration, filesystem creation, secure provisioning, and application deployment.

Our expertise includes working with various embedded systems, such as Yocto Project, Buildroot and other Debian-based operating systems, U-Boot, systemd, Docker, and vendor SDKs.

We also build touch screens, local APIs, gateway services, device management agents, and secure connections to the cloud. When a device combines Cortex-A and Cortex-M processors, we define its operation; for example, we use Linux for connectivity and graphical user interface but use a processor for real-time control.

ARM Hardware and Custom PCB Design

Dependable embedded firmware is reliant on well-designed hardware. Our hardware team designs custom ARM-based boards based on selection of processors, power sources, sensors, communication protocols, the impact of physical constraints, and the application environment.

Hardware development may include:

• Processor, memory, PMIC, oscillator, and reset design
• Battery charging, protection, and fuel-gauge circuits
• Analog front ends and sensor interfaces
• Ethernet, USB, CAN, RS-485, BLE, Wi-Fi, LTE-M, NB-IoT, and GNSS
• Secure elements and hardware-backed key storage
• Displays, touch controllers, microphones, speakers, and cameras
• RF layout, antenna integration, and impedance-controlled routing
• Debug, programming, boundary-test, and production-test interfaces
• EMC-conscious layout and design-for-manufacturing reviews

After fabrication, we perform staged board bring-up: checking rails and clocks before loading minimal firmware, validating memories and buses, and then enabling application subsystems. This method makes hardware faults easier to isolate and reduces the risk of damaging early prototypes.

Connected IoT and Wireless Product Development

We build ARM-based connected devices using Bluetooth Low Energy, Bluetooth Mesh, Matter, Thread, Zigbee, Wi-Fi, Ethernet, cellular IoT, LoRaWAN, NFC, and proprietary sub-GHz communication.

There is much more to connectivity engineering than simply getting a radio link working. In our case, we have to consider provisioning, device identity, data formats, retries, working offline, time synchronization, data buffering through telemetry and recovery from failure caused by loss of the connection.

Integration may either be with the established protocols such as AWS IoT Core, Microsoft Azure IoT, Google Cloud or with a specification made specially for the product using custom MQTT and API.

For mobile-controlled products, we develop native or cross-platform applications for onboarding, configuration, firmware updates, access control, live status, alerts, and diagnostics. Backend services can provide device registries, user roles, audit logs, command routing, analytics, and fleet-management functions.

Secure Boot, OTA Updates, and Embedded Security

Security must be part of the system architecture from the first prototype. Adding encryption shortly before production does not correct an insecure update path or weak device-identity model.

Our ARM embedded security services may include:

• Hardware root of trust and secure key provisioning
• Signed and encrypted firmware images
• Secure or measured boot
• Dual-image and fail-safe OTA updates
• Flash readout and debug-port protection
• TLS-secured device-to-cloud communication
• Device certificates and key rotation
• Role-based access and audit logging
• TrustZone-based secure and non-secure partitioning
• Threat modeling and dependency review
• Recovery procedures for interrupted or invalid updates

Where supported by the chosen MCU, ARM TrustZone can isolate security-sensitive code and data from the general application. The exact security design is selected according to the processor, threat model, regulatory obligations, manufacturing process, and required field-service capability.

Edge AI, DSP, and Intelligent Embedded Devices

Modern ARM devices can execute signal processing and compact machine-learning workloads locally. Edge processing can reduce latency, bandwidth consumption, and unnecessary transfer of sensitive raw data.

We create embedded intelligence that is responsible for detecting vibration, identifying acoustic events, recognizing gestures, diagnosing equipment, wearable sensing, detecting anomalies, and processing computer vision applications.

Our work can involve preparation of data sets, creating signal windows, extracting features, converting models, quantizing models, integrating inference and profiling on the target device.

The models are evaluated using performance measures relevant to the final product, including false alarm rate, missed event rate, latency time, RAM, flash memory, power consumption per inference, and in realistic noise conditions.

Testing, Debugging, and Production Readiness

Embedded systems encounter problems at the borders of hardware, firmware, radio signal behavior, mechanical parts, energy, and actual application in practice, so our validation process is based on testing the whole device rather than only isolated source code modules.

The tests employed depend upon the product and may involve such techniques as unit tests, hardware-in-the-loop tests, protocol tests, long-term operation tests, power cycle recovery tests, brownout tests, tests on wireless coexistence, signal range tests, tests of sensors calibration, tests of thermal properties, battery profiling tests, and fault injection tests.

The methods that we apply include SWD/JTAG debugging, trace systems, oscilloscopes, logic analyzers, protocol analyzers, programmable power circuits, and current measurement devices.

Before we start production, we can develop manufacturing procedures for firmware, tests, programming, calibration, serial number provisioning, and acceptance criteria.