Applying AI technology to detect and rescue children stuck in cars

Abstract

Artificial Intelligence (AI) is a technology that enables computers to perform tasks that require human intelligence such as learning, reasoning, and problem solving. AI can be applied to solve serious problems such as children suffocating due to being left in cars. By using facial and voice recognition technology, AI can detect the presence of children in cars and sound a warning to the occupants and guide them to get out of the car. To achieve this, AI must be taught to recognize the presence of children through analyzing a large amount of image and sound data. Set the recognition sensitivity from 50% to 100% to activate the warning system. When the camera recognizes less than 50%, the system will not work. From 50 to 100%, the system will work. A 95% image recognition result will activate the warning speaker and turn on 2 relay switches. The noise recognition result of 80% will activate the warning speaker and the light on the board will change to red. When detecting someone, the PIR sensor will change the light color on the board to red. The recognition result will be continuously checked and adjusted to ensure accuracy. When the system detects a child in the car, it will immediately warn on the circuit board light and speaker. At the same time, it will send a message to the phone immediately. Thanks to the warnings’ high accuracy of up to 95%, this system can reduce the risk of accidents and thus contribute to the safety of children.