Smell SensorsPrototype

For high concentration, we are developing QCM type transducers; and for lower concentration, MEMS semiconductor type and FBAR type transducers.

Various smells can be identified by mounting a sensor that can respond to a variety of different smell molecules.
The miniaturized sensor module can be used for a variety of applications, from fixed sensors to mobile applications.

Similarly for human smell identification, the system learns in advance what a certain smell is.
The system remembers the learned results to identify and recognize the smell from memory when it senses the smell.
In machine learning, we have developed an algorithm with good identification accuracy to visualize smells.

This system is composed of a sensing unit and an edge terminal-based sensor control unit.
The sensor control unit controls the sensing unit, collects measurements, and performs machine learning.
It supports optional functions to operate in synchronization with environmental sensors, and so is capable of sensing simultaneously with temperature / humidity sensors, CO₂ sensors, and dust sensors.