Combining Voice and Image Recognition for Smart Home Security System

Abstract

Through to technique and hardware improvements, the human can handle more significant data than before. Machine learning is a way to achieve artificial intelligence, using difference algorithm to process difference type data, let the system analyzing, learning, processing data like the way of a human. The Artificial neural network has many types, such as the Recurrent Neural Network that good at handling continuity data, the situation like speech recognition, since speech is continuity, different letters combination with the various meaning, so continuity data is essential to speech recognition. Raspberry Pi is an excellent Internet of Things device because it is a kind of micro-computer, you can install the operating system in it. The function is as a base; you can expand different modules. For example, if we want to collect image information, we can install the lens module, if we’re going to obtain sound data, we need to install the microphone module. The current raspberry pi already has WIFI and Bluetooth, so the raspberry pie is currently one of the favorite choices for IoT devices. In this paper, we want to apply the technique of face recognition and speech recognition in life, using a raspberry pi to build a home security system. We proposed an architecture that combines face recognition and voice recognition to develop a home security system. Through face and voice recognition, we double-checking the identity is correct or not to improve convenience and security of the smart home environment. Raspberry Pi is the home security system’s kernel and uses lens module to collect face information and microphone module to collect voice information. Raspberry Pi upload the data to the face API and speaker recognition system. The face API is used to recognize face information; the speech API is used to identify voice information. When the identity of the face API result is equal to the character of the speech API result, it is completing the verification requirement; the system will continue next step to control devices, like an electronic lock or other devices that supported remote control.