Tailgating
The computer vision application from A.I. Tech enables the ability to monitor, count and track the number of people entering a secure area.
What is Tailgating
Tailgating
Tailgating occurs when access through a gate is granted to a single person but more than one person follows through the gate into the secured area
Deep Learning
The application counts and tracks the number of people crossing a gate. Objects such as backpacks and trolleys are not counted by the software.
Integration
Through an input/output module, the application is intergrated with the access control system, ensuring that each authorised entry is accessed by only one person.
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Key Features
Tailgating
Unauthorised entry
An unauthorised event occurs when either: 1. A person walks through the gate without badging. 2. A person tailgates in behind another.
Bypass mode
An unauthorised person uses a specific bypass card to allow the entry of people without a card. Bypass mode can also be initiated by a software trigger or by a simple switch located at a reception desk.
Notifications
The application automatically generates an alarm event upon unauthrorised entry. This alarm event can be integrated into other systems using either the I/O module or 20 additional notification protocols.
Edge Side Analysis
The computer vision applications are installed and run directly on board an industrial Ai device. This reduces the network load and only events of interest are sent to external systems.
Ai Ecosystem
Early Warning
Operating 24/7 the Ai computer vision application provides real-time monitoring of vast areas and automates the process of flood detection, eliminating the need for manual monitoring.
Cutting Edge Ai Devices
The Ai hardware transforms existing cameras, enhancing their function through Ai technology and deep learning models. It comes preloaded with the computer vision application. Multiple applications can be loaded onto the appliance and used simultaneously.
Software
Software applications and programs receive the generated data for visualisation or to perform specific tasks.
Key Benefits
Scalable
Flood detection systems can be deployed in remote inaccessible areas or in urban environments where traditional sensors are impractical and flash floods happen without limited warning.
The system can easily be scaled to cover large geographical areas, especially if optical sensors from survelliance networks are utilised
Cost Effective
Although there are initial setup costs, the system proves more cost-effective in the long term than traditional monitoring methods. It offers task automation, remote configuration, and utilises existing survellaince infrastructure, reducing the need for extensive human resources.
Accurate
Advanced computer vision algorithms can accurately identify flood-related features such as water bodies, submerged objects, or changes in terrain morphology, minimising false alarms and ensuring reliable detection.
Neologic is a Technology partner providing cutting edge Ai computer vision solutions for Tailgating. In collaboration with our channel partners, we can provide a complete solution that comprises of optical sensors, algorithms, Ai hardware and communication equipment.
The Anti-tailgating system is an essential solution which is instrumental in providing a positive customer experience. It enhances security, optimise's access control, and cultivates a favorable brand image.
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