Hybrid indoor inventory surveillance based on artificial intelligence object identification and bluetooth beacon level for preventing theft activity

Indoor office inventory need seriously be monitored because it is very susceptive in thief activity. Wireless device such as bluetooth with its gatt beacon signal feature can be used to keep track the presence of inventory object. This feature has been implemented in this research which result an mini simple and flexible device that can be attached to any inventory object. This device will reports its presence to cloud system through local wifi to internet connection. This research also combined with artificial intelligence object identification which built of raspberry pi 3 single board computer with implementation of SSD-Mobilenet method. This second device aims to detect and identify presence of any person who tried to touch, move or might be steal any inventory object. As result in this research, these devices can successfully detect and identify any inventory object and person, also keep tracking the presence of indoor inventory object. The system then reports the result to cloud server through mqtt socket connection.