The paper presents a novel humidity-stable thermoelectric hybrid material for a self-powered triple sensing system. The material, composed of poly (3,4-ethylenedioxythiophene) (PEDOT), multi-walled carbon nanotubes (CNTs), and polystyrene sulfonate (PSS), is designed to enable simultaneous and accurate pressure and temperature sensing in a single sensor. The enhanced planarity of PEDOT and the strong π–π interaction between PEDOT and CNTs improve the electronic performance, leading to high humidity stability. The sensor demonstrates high sensitivity to temperature and pressure changes, with a high level of 97.78% accuracy in intelligent object identification. The integration of the sensor with a triboelectric nanogenerator (TENG) further enhances its potential for industrial applications, particularly in intelligent classification without visual inspection. The study highlights the advantages of this hybrid material in terms of environmental stability, cost-effectiveness, and flexibility, making it a promising candidate for various real-world applications.The paper presents a novel humidity-stable thermoelectric hybrid material for a self-powered triple sensing system. The material, composed of poly (3,4-ethylenedioxythiophene) (PEDOT), multi-walled carbon nanotubes (CNTs), and polystyrene sulfonate (PSS), is designed to enable simultaneous and accurate pressure and temperature sensing in a single sensor. The enhanced planarity of PEDOT and the strong π–π interaction between PEDOT and CNTs improve the electronic performance, leading to high humidity stability. The sensor demonstrates high sensitivity to temperature and pressure changes, with a high level of 97.78% accuracy in intelligent object identification. The integration of the sensor with a triboelectric nanogenerator (TENG) further enhances its potential for industrial applications, particularly in intelligent classification without visual inspection. The study highlights the advantages of this hybrid material in terms of environmental stability, cost-effectiveness, and flexibility, making it a promising candidate for various real-world applications.