Engineers Tame Thermal Sensors to Count People in Elevators Without Creeping Anyone Out

A new technical solution combines a Melexis thermal imaging sensor with a specialized software library to accurately detect and count people inside confined spaces like elevator cabins. The system uses far-infrared technology to sense body heat, processing the data locally on embedded microcontrollers to provide occupancy monitoring without privacy concerns from optical cameras or cloud data streaming.

For engineers, this represents a clever hardware-software integration challenge solved by creating two distinct operating modes: one optimized for ultra-low-power microcontrollers for simple detection, and another for more powerful processors capable of advanced multi-passenger tracking. The approach overcomes limitations of traditional methods like floor load cells and motion sensors while maintaining privacy by design through edge-only processing. This technical breakthrough demonstrates how thermal sensing can solve real-world problems without compromising on privacy or power efficiency.