Papers
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Constant false alarm rate (CFAR) detector is widely used in automotive radar for target detection from the range-Doppler (RD) map. Due to the large target size relative to the range resolution of the radar, the target response is spread in the RD map.
As road accident cases are increasing due to the inattention of the driver, automated driver monitoring systems (DMS) have gained an increase in acceptance.
Presenting software for real-time noise suppression on low-cost edge devices using deep learning, this case study details noise suppression challenges and how they were addressed by Ignitarium’s engineers as a part of the solution.
A high-accuracy method of automatic cough detection using neural networks is presented in this technical paper, that clearly demonstrates achieving parameters that can enable fitment into smart IoT devices.