Autonomy and greater degrees of interconnection are featured in the next generation of secure embedded systems. With the support of artificial intelligence algorithms that pose high computational demands on the software platform, autonomy is typically achieved, achieving a high-performance scale. This includes a significant increase in the sophistication of software and hardware, which, along with the novelty of the technology, poses serious device stability concerns. Traditional certification methods must show that the device is acceptably secure to operate before it is deployed into operation. Student safety has become a major worry in the culture of today. In the case of teachers, crime rates have risen to a Great variety. To decrease this rate of crime and to ensure that students are a secure GPS is suggested for surveillance. This application, along with emergency contacts, involves an initial registration. As the user moves from one location to another, the GPS tracking supported by the G-Maps API is switched on to display the location of a consumer on a map. The person may either shake the digital watch to a particular frequency during an emergency or remove the watch. Immediately after this action, and Alerting message that incorporates the victim's name, location of the GPS, and assistance message is sent to all the registered emergency services via SMS. Contacts and a call to the master contact are made. Suppose they can control directly via the dynamic GPS tracking system, whether the emergency contact person has the same application, Alternatively, via the message connection, they can access the location. The person can rush to the spot immediately to assist the victim. Suppose the live position is changed if the victim is in motion, for any amount of seconds. Not only during cases of emergency, a warning message with the last one even when the battery drains out, but the emergency contacts also obtain an updated location.