This work describes metal oxide gas sensor technologies based on chemiresistor and surface ionization devices with respect to their integration an electronic nose sensing system, namely a sensor array whose collective response is handled through a pattern recognition software. Potentialities and challenges of the proposed approach are presented in the frame of detection of people hidden in cargos and containers.