In this project face and license plate is authenticated at the door. If they belong to the owner of the apartments then doors will open automatically. If not, an authentication message will be sent to the authorized person.
In this paper, we develop a framework for enhancing the secure electronic gate system. In recent times, automatic license plate, car make recognition and face recognition algorithms are playing a key role in several security applications. The proposed framework can be divided into three segments including such as car make and model, license plate detection and face identification.
The fusion of these three techniques will enhance the security level and build a highly secure automatic gate at the entrance of restricted areas. The proposed results show very high detection and identification results regardless of the facial pose variation. The results demonstrate the feasibility of developed framework to be deployed in any public areas.
Keywords: Difference of Gaussians (DoG) detector, facial recognition, electronic gate.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Hardware & Software Requirements:
Software: Matlab R2018a.
Hardware:
Operating Systems:
Processors:
Minimum: Any Intel or AMD x86-64 processor
Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support
Disk:
Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation
Recommended: An SSD is recommended a full installation of all Math Works products may take up to 29 GB of disk space.
RAM:
Minimum: 4 GB
Recommended: 8 GB