Autonomous UAV based Surveillance and Security System

Abstract

There has been a major increase in crimes in the residential, commercial, and industrial areas of Pakistan. To try and curb this, many different types of solutions are already in use but all of them have major shortcomings to them due to which the whole system is largely ineffective. For example, the most obvious problem in the current system is that the guards as humans are more prone to distractions and fatigue. Increasing the number of guards can help but it is not feasible economically having too many guards on the payroll. Secondly, vehicular patrolling creates a huge overhead of procuring cars, their maintenance, and their daily fuel consumption. Not to mention the noise and environmental pollution they can cause along with being extra traffic on residential roads which usually are quite narrow. For all this expense the benefit they give is limited as their area of surveillance is small, usually on the street they are currently on whereas an aerial drone can cover a much larger area from a single point at only a fraction of the cost. Moreover, the static CCTV cameras planted at different locations can at times be easy to bypass as they have a limited angle of coverage. To counter this our team is proposing an automated mobile aerial monitoring solution which we believe can eliminate the human and technical limitations inherent to current systems deployed. Our goal is to provide a cost-effective and efficient surveillance system. Recent advent in drone technology and Artificial Intelligence (AI) has enabled us to create powerful aerial systems which can identify objects with a high degree of accuracy. So, our solution is in the form of a drone that will guide itself throughout a designated area trying to identify people and objects such as guns. If it detects anything or anyone that should not be there, the drone will raise an alarm in the control room, alerting the authorities and having the situation investigated promptly, while also recording the incident to be later used as evidence for forensic or legal uses. It can also be used in crowd control and monitoring, by identifying large gathering, number of people in the crowd, face recognition for any criminals and even tracking for weapons