In the automotive industry, the development of scalable Occupant Monitoring Systems (OMS) is crucial to meet evolving customer needs and technology advancements. This presentation will dive into the challenges and opportunities in designing OMS, focusing on the integration of various sensor technologies to achieve accurate localization and classification of occupants. We will explore innovative solutions including the incorporation of radars and cameras, and the migration towards Deep Learning-based Early Fusion products to enhance system accuracy and efficiency. We will highlight the importance of customer-centric design, ensuring OMS are tailored to specific applications and vehicle integrations. Additionally, the session will cover strategies for future-proofing OMS, including modular designs and efficient chip selections, and the importance of adhering to regulatory compliance and validation to maintain high safety standards.