Gold Sentinel is seeking to enhance the firmware of its radar sensors to improve real-time processing capabilities. The current firmware requires optimization to handle data more efficiently and provide faster response times. The project aims to refine the existing codebase, focusing on reducing latency and improving data throughput. Learners will apply their knowledge of embedded systems and firmware development to analyze the current system, identify bottlenecks, and implement improvements. The project will involve tasks such as code optimization, testing, and validation to ensure the firmware meets performance benchmarks. This project offers learners a chance to work on real-world applications of radar technology and embedded systems.

The project deliverables include an optimized firmware version for the radar sensor, detailed documentation of the changes made, and a report on performance improvements. Learners will also provide a presentation summarizing their approach and results. The deliverables should demonstrate a measurable improvement in processing speed and efficiency, supported by test results and analysis.