Brain-inspired sensors is an interdisciplinary research field focused on designing artificial sensing systems that emulate structural and functional principles observed in biological nervous systems. This concept investigates how neural processing mechanisms, such as event-driven communication, local computation, learning, and energy efficiency, can be applied to sensor design to enable advanced capabilities like intelligent data acquisition, context awareness, adaptation, and robust performance in complex environments. The significance of this approach lies in creating more efficient, autonomous, and capable sensing technologies compared to traditional sensor paradigms.