Abstract: The present invention relates to a system and method for monitoring and restricting smartphone usage among children, enhancing parental oversight and mental health support. The system includes internet-connected central servers executing monitoring software from non-transitory media, paired with specialized child devices and generic parental devices. These devices facilitate real-time and recorded monitoring of smartphone activities, including application usage, screen time, and internet access. The child devices are equipped with customized operating systems and software that prevent bypassing parental controls. Parental devices can access detailed analytics and live streams of child device activity. The system also incorporates machine learning algorithms to trigger mental health checks based on application usage patterns.

Abstract: A smartphone monitoring and restriction system is disclosed. The system employs on-device machine learning to detect nudity in images captured by the device camera, triggering automatic device lock and multi-channel alerts to a parent dashboard. The dashboard allows parents to review flagged media, unlock the device, or delete content. Additional features include selective recording of newly installed applications based on risk-tagged metadata, suspicious conversation detection using natural language processing, and monitoring of stored, dialed, or messaged contacts against curated databases. Parents may also initiate live audio capture for environmental assessment, configure curfews with override capability, and enforce grounding or full lockdown states. An enterprise version supports institutional use, enabling administrators to assign devices, apply stage-based restrictions, monitor resident activity, dispatch surveys, and manage incentives.

Abstract: The present invention relates to a system and method for monitoring and restricting smartphone usage among children, enhancing parental oversight and mental health support. The system includes internet-connected central servers executing monitoring software from non-transitory media, paired with specialized child devices and generic parental devices. These devices facilitate real-time and recorded monitoring of smartphone activities, including application usage, screen time, and internet access. The child devices are equipped with customized operating systems and software that prevent bypassing parental controls. Parental devices can access detailed analytics and live streams of child device activity. The system also incorporates machine learning algorithms to trigger mental health checks based on application usage patterns.