Car Monitoring System in Apartment Garages by Small Autonomous Car using Deep Learning
This addresses security issues like robberies and unauthorized access in apartment garages for tenants, but it is an incremental application of existing technologies.
The paper tackles the problem of vehicle monitoring and security in apartment garages by developing a low-cost autonomous mini-car that uses deep learning to record license plates and identify tenants, achieving a system that can replace expensive cameras.
Currently, there is an increase in the number of Peruvian families living in apartments instead of houses for the lots of advantage; However, in some cases there are troubles such as robberies of goods that are usually left at the parking lots or the entrance of strangers that use the tenants parking lots (this last trouble sometimes is related to kidnappings or robberies in building apartments). Due to these problems, the use of a self-driving mini-car is proposed to implement a monitoring system of license plates in an underground garage inside a building using a deep learning model with the aim of recording the vehicles and identifying their owners if they were tenants or not. In addition, the small robot has its own location system using beacons that allow us to identify the position of the parking lot corresponding to each tenant of the building while the mini-car is on its way. Finally, one of the objectives of this work is to build a low-cost mini-robot that would replace expensive cameras or work together in order to keep safe the goods of tenants.