AI-Assisted Firmware Debugging
In this session, Mohammad Ali Thara (Technical Lead – Firmware, Decos) showcased how AI-assisted analysis enhances firmware debugging efficiency in embedded systems.
The webinar addressed common challenges in RTOS-based systems, where identifying issues like task latency, memory constraints, and scheduling inefficiencies through manual log analysis is complex and time-consuming.
A practical approach was presented using structured firmware telemetry—capturing parameters such as task execution time, heap usage, and CPU load in real time. This data is analyzed using cloud-based AI models (OpenAI / Claude) to automatically detect anomalies, identify potential root causes, and generate actionable debugging insights.
Key Focus Areas
- Challenges in firmware debugging for RTOS-based systems
- Limitations of traditional log-based debugging
- Real-time monitoring of system performance and health
- AI-assisted analysis using cloud-based models
- Detection of anomalies such as task delays and memory issues
- Automated root cause analysis and recommendations
Demo Highlights
- FreeRTOS-based firmware on STM32 platform with Real-time telemetry streaming via UART
- Python-based monitoring dashboard and AI-generated diagnostic insights
- Detection of task timing issues and memory degradation
- Automated root cause analysis with recommendations
Key Takeaways
- Reduces dependency on manual debugging
- Enables real-time detection of system issues
- Improves debugging speed and efficiency
- Allows engineers to focus more on development
- Provides scalable and flexible debugging using AI
This webinar was presented by Decos, a cutting-edge technology services partner ready to meet your diversified needs in the healthcare domain.
If you have any questions about this webinar or wish to seek advice on medical device project, please contact Devesh at devesh.agarwal@decos.com
We would love to discuss it with you! We also have list of recaps of interesting webinars conducted in past. You can check out those here
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