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Abstract. The cases of children being trapped and suffocated in unattended vehicle keep increasing even though the awareness campaign on the safety of children in non-moving vehicle were carried out by government. Various methods were introduced by researchers to overcome this issue but yet to be effective. Among them were the usage of capacitive sensor, microwave sensor, pressure sensor and image sensor where most of the techniques or systems were applied on the child's seat to detect the presence of baby or infant. Thus, this research is carried out to provide a comprehensive and effective detection system to detect the presence of children including infant in unattended vehicle by using the combination of human physiological signals (voice and body odor) detectors with the temperature and motion sensors. Here, once the proposed system recognizes any signals that generated from voice, odor, motion and temperature detectors in vehicle's cabin, the system then will provide effective feedback system by sending short message to the parents first. If no response received in the specified allocation time, the system then will activate the vehicle's horn system. Finally, the system will lower down the vehicle's window to release the toxic gas and reduce the cabin temperature. The system is in prototyping stage where every design component was evaluated individually. Besides, the overall system was successfully tested where the detection and feedback system follow the instruction given by the microcontroller.

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The main purpose of this paper is to classify lubricant oil odor Reasoning classifier. Electronic nose was used for the lubricant oil smell sample. The data that have been collected will be normalized data can be evaluated in a smaller scale to establish an odor odor-profiles were classified using Case performance resulting 100% successfully correct classification.