Technical Inquiry Regarding Human and Pet Classification Using 77–81 GHz FMCW Radar Hello, My name is Eunjin Kwon, and I am a researcher in the Eco-Friendly Building Research Team at GS Engineering & Construction in South Korea. We are currently exploring the application of mmWave radar technology for non-contact fall detection and activity monitoring in residential environments. One of our key technical requirements is to distinguish humans from pets (such as dogs and cats) to prevent false alarms caused by pet movements while ensuring reliable fall detection for human occupants. We are particularly interested in NXP's 77–81 GHz FMCW radar solutions and would appreciate your technical guidance on the following questions: 1. Does NXP have any existing technologies, research results, or application examples related to human versus pet (Human / Non-human) classification using mmWave radar? 2. Is it technically feasible to distinguish humans from pets using radar data, such as point clouds and Doppler information, through AI-based classification algorithms? 3. Are there any relevant reference designs, technical documents, or development resources available for this application? We would also appreciate the opportunity to discuss this topic with an NXP radar technical specialist or Field Application Engineer (FAE) in South Korea. Thank you for your time and assistance. I look forward to your response. Best regards, Eunjin Re: Technical Inquiry Regarding Human and Pet Classification Using 77–81 GHz FMCW Radar Hello,
Let me look closer if we have done something similar as our RADARs are automotive.
Best regards,
Peter
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