Vehicle Traffic Counting

1. Background

As business and traffic management become increasingly data-driven, traffic flow statistics have become a key metric for informed decision-making.

• Fuel and service planning: Before building a gas or charging station, investors need to evaluate vehicle flow in surrounding areas.

• Retail and commerce: Shopping malls or supermarkets require both vehicle and pedestrian traffic data to guide site selection.

• Advertising and marketing: Large roadside billboards rely on vehicle flow statistics to determine visibility and advertising value.

• Transportation management: Highway authorities monitor vehicle volume during specific periods to assess road utilization efficiency.

Traditional manual counting is inefficient and error-prone. Using AI-powered video analytics for traffic flow detection offers a faster, more accurate, and cost-effective solution.

2. Product Overview & Workflow

Product Overview

The Fuwee Vision AI Traffic Flow Monitoring System is an intelligent image recognition platform based on real-time video streams.
Using deep learning and big data technology, it replaces manual observation to automatically detect, classify, and count vehicles — providing reliable data for business and infrastructure planning.
The system uses existing surveillance cameras, requiring no new hardware, ensuring quick deployment and low cost.

Workflow

1. Front-end cameras transmit live video streams to the system server in real time.

2. The AI engine analyzes the video to identify and count vehicles.

3. The system automatically generates statistical reports based on predefined time intervals.

3. Hardware & Installation Requirements

Proper installation ensures each vehicle is visible without occlusion for accurate recognition.

4. System Features

(1) Traffic Flow Monitoring

• Real-time vehicle detection and counting from live video streams.

• Supports all vehicle types — from small cars to heavy trucks.

• Resistant to interference from non-motor vehicles (bicycles, e-bikes).

• Multi-lane support: 2MP cameras cover up to 3 lanes; 5MP cameras can monitor wider roads.

• Compatible with bullet, dome, and drone cameras.

(2) Lane-Based Statistics

Define detection zones or individual lanes for customized vehicle counting.

(3) Customizable Time Intervals

Flexible configuration to collect data by hour, day, or custom period.

(4) Report Generation

Automatically exports daily traffic statistics, including camera IP, vehicle count, and optionally license plate recognition results.

5. System Performance

• Counting accuracy: ≥99%

• Snapshot accuracy: ≥99%

• Detection distance: up to 50 meters

• Supports multiple cameras simultaneously

• Automatic startup and unattended operation

6. Software Interface

The interface displays real-time video feeds on the left and counting lines within the detection area. Vehicle data updates dynamically for instant visualization.

✅ Typical Project Cases

• Jilin Liuhe County Traffic Data Monitoring Project

• Sichuan High-Tech Incubation Park Project

• Xi’an Doumen Project

• Lhasa Huilian Electronics Co., Ltd.

• Dongfang Honghai Company Project

📊 Applications

• Highway and city traffic monitoring

• Commercial site selection and investment analysis

• Outdoor advertising effectiveness evaluation

• Gas station and logistics planning

• Industrial park vehicle management

🧠 Fuwee Vision – Intelligent Video Analytics for Smarter Decisions

Fuwee Vision provides AI-based video analytics systems for industrial, commercial, and public safety applications — including traffic flow monitoring, fire & smoke detection, PPE compliance, vehicle intrusion detection, and more.
Enhance decision-making and safety with intelligent, automated video solutions.