Abstract: A sound-based activity recognition system has the potential to better detect and identify activity in an environment compared to video-only monitoring systems. However, conventional sound recognition systems are typically unable to provide sound recognition using a single device and have limited user control of data and video integration. These shortcomings may be overcome by a sound-based activity recognition system that incorporates computationally inexpensive methods to detect and identify sounds that can be performed on a single electronic device. The activity recognition system may further provide object recognition to enable both sound and object detection. In one example, the activity recognition system may include a microphone and a camera to record audio and video from the environment and a processor to filter background noise, which reduces the amount of data processed; to identify sounds and objects using a model; and to notify a user of the sounds and objects detected.