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Omni Counting System

Dual-Module Architecture Enables Flexible Deployment Beyond Traditional Limits

AI-Powered People Counting and Flow Analysis for Real-Time Insights

Integrating AI image recognition with edge computing technology, this system enables real-time tracking of entry and exit counts, surpassing traditional limitations. It offers dual-module detection modes that can be seamlessly switched to suit various scenarios. Users can also freely define detection areas, ensuring precise monitoring of foot traffic flow.
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Why Omni Counting System ?

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AI-Powered Precision

Delivers accurate identification in complex environments with reliable, high-performance image recognition.
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Personnel Safety Management

Real-time foot traffic detection and alerts enable swift responses to security risks, ensuring safety and order.
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Optimized Staffing

Traffic analysis identifies peak hours for strategic staff deployment, reducing costs and improving operational efficiency.
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Energy Efficiency

Adjusts lighting and HVAC via foot traffic data to reduce energy use and support carbon reduction goals.
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Site Management Efficiency

Easily set up monitoring zones to quickly adapt to on-site needs, enhancing management and operational flexibility.
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Real-Time Decision Support

Instantly record and export traffic data for in-depth analysis, optimizing resources and boosting operational efficiency.
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Flexible Environmental Adaptation

The system offers precise tracking and full-area monitoring, adapting seamlessly to both small and large spaces.
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User-Friendly Interface

Intuitive interface enables quick deployment and streamlines device management for greater operational efficiency.
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Edge-Powered Real-Time Response

Processes data at the edge to reduce latency, enhance security, and accelerate system response.

Usage Scenarios

Smart Factory

Leverage real-time insights to streamline personnel deployment and monitor production area traffic — ensuring safer and more stable factory operations.

Public Venues

Gain actionable insights from daily traffic patterns in busy stations and public spaces — optimize infrastructure, improve flow, and create a better environment.

Smart Retail

Empower retail managers with real-time customer traffic insights — transform data into digital assets and drive innovation through smarter operations.

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You May Be Curious

【Success Case】- Hualien International Resort: Real-time Foot Traffic Monitoring to Enhance Guest Experience

The resort uses an omni counting system with network cameras in five key areas to track real-time foot traffic. Managers monitor data via a central dashboard to prevent overcrowding and improve facility use. This helps ease peak-time congestion and enhances the overall guest experience.
This system is suitable for a wide range of environments, including but not limited to shopping malls, airports, office buildings, hospitals, and museums. Whether in compact enclosed spaces or large open areas, it offers flexible deployment and efficient traffic monitoring.
Yes, the system allows users to freely define detection zones. You can set boundaries using straight lines, diagonal lines, or closed polygons, providing flexibility to meet the unique requirements of different environments.
When foot traffic in a designated area exceeds the preset threshold, the system instantly displays an alert, allowing managers to respond quickly and maintain on-site safety and order.
The system employs advanced AI image recognition technology combined with edge computing to deliver precise analysis in complex environments. It overcomes challenges such as elevation differences and irregular objects, ensuring the accuracy and reliability of the data.
By analyzing foot traffic data, businesses can adjust lighting and HVAC operations based on actual usage, helping reduce energy consumption and lower carbon emissions.
The system provides real-time foot traffic data, helping managers track traffic fluctuations throughout the day. This enables optimized staff allocation and resource management, reducing unnecessary expenses and enhancing overall operational efficiency.

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