Abstract
Let’s talk about security at a private access place taking into account the amount of effort one wants to keep it as such only listed personnel to enter, but intrusions are found, and raising security and scanning alone doesn’t bring down one such issue.These days we find that most of the research has a much higher usage of servers which is termed expensive as to run the processing of the software. Few places would not be able to afford such costs. The objective of this project is to provide a surveillance and a self-monitoring intrusion system that ensures regular checking, from the current surveillance of a security personnel. This software aims to classify the people entering and leaving a particular place with a whitelist. This will also help exercise caution that can be implemented in places that require inspection. This system is programmed to alert real-time intrusion to the owner and/or security via MMS. We want to make sure to build a prototype that can sustain such parameters and be market-ready. The core theme of the project is to have another set of surveillance integration to warn/alert the respected person about an intrusion per se someone who’s not in the whitelist mentioned.
Highlights
Well when we talk about intrusion and monitoring, let us just understand the act of this kind which is being systematically set up at almost every place nowadays, whether small or relevant or even necessary
We first start by gathering a dataset i.e. we take a picture of the whitelist person that has permission or access to enter and leave the premises in check
The major advantage of the method we propose here is that we only require a single good quality picture of a person in any image reading format to be able to recognize the person when he enters the frame
Summary
Well when we talk about intrusion and monitoring, let us just understand the act of this kind which is being systematically set up at almost every place nowadays, whether small or relevant or even necessary. There is a human presence to avoid such circumstances, even he/she is bound to make errors sometimes in detecting a person coming and going. This system aims to reduce such incidents by entering a dataset of people who have access to a particular area and alert to the mobile phone of the concerned person. This will give a time stamp and photo of the frame as the software deems it as an unrecognizable or unknown person
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