Automatic Traffic Counter & Classifier for Smarter Traffic Analysis
Highly accurate ATCC system in India with AI-powered vehicle counting and classification, plug & play integration, and reliable performance for highways, toll plazas, smart city projects, and intelligent traffic management solutions.
Key Features
Automatic Vehicle Classification
Capable of classifying vehicles into 8 different classes – two-wheeler, auto, car/jeep/van, bus, truck, MAV/HCM, OSV, and LCV for advanced vehicle counting and classification applications.
Highly Accurate
Get real-time vehicle counting and classification with Automatic Traffic Counter & Classifier (ATCC) systems, ensuring higher accuracy in real-time traffic data and traffic counting system analytics.
AI-Powered Video Analytics
ATCC software is powered by advanced AI video analytics, handling both free flow and stop-and-go traffic scenarios simultaneously for efficient and intelligent traffic data processing.
Multiple Lanes Targetting
Covers multiple lanes with parallel vehicle detection and bi-directional vehicle detection, providing comprehensive traffic insights for intelligent transportation systems.
Reporting
A fully customised smart dashboard and reporting system that offers detailed reports for easy access to traffic data, locally and remotely.
24x7 Analysis
ATCC software guarantees free-flow traffic count and classification analysis across parallel lanes 24x7 with zero interruption to traffic flow.
Automatic Traffic Counter and Classifier
Technical Specifications
Accurate vehicle counting and classification for smarter roads
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Features
Vehicle Counting, Classification
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Supported Classes
Two-wheeler, Auto, Car/Jeep/Van, Bus, Truck, MAV/HCM, OSV, and LCV
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Technology
Video-Based AI Traffic Analytics
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Input Sources
Live Camera Stream, Recorded Videos
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Interface
Local Dashboard, On-Premise or Cloud
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Data Validation
Reports & Images
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Accuracy
Vehicle Classification >98% | Vehicle Count >99%
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Compatible Resolution
4MP and above
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Deployment
On-Premise or Cloud
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Integration
REST API, Power BI, Tableau
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Country of Origin
India
Automatic Traffic Counter and Classifier From Intozi
Enhancing Traffic Management & Infrastructure
Planning with Smart ATCC Software
Planning with Smart ATCC Systems
- Intozi’s ATCC software detects, counts, and classifies vehicles in real-time without interrupting traffic flow, enabling accurate automatic traffic counter and classifier operations.
- Intozi’s ATCC solution can do axle counting and classify vehicles into 8 different classes, starting from two-wheelers, autos, cars/jeeps/vans, buses, trucks, MAVs/HCMs, OSVs, to LCVs for advanced vehicle counting and classification.
- The ATCC software uses advanced AI-driven technology to ensure precise vehicle count & classification information and real-time traffic data to facilitate traffic authorities for data-driven traffic planning, congestion avoidance, and toll leakage prevention.
- Intozi’s ATCC software records real-time traffic flow analysis by considering a section (lane) of the road, making it suitable as a free-flow traffic counter and intelligent traffic counting system.
- Automatic Traffic Counter and Classifier (ATCC) software is helpful for survey companies, toll plaza ATCC operations, and traffic police departments.
- Survey agencies and NHAI use information derived from NHAI-compliant ATCC systems for efficient infrastructure management and transportation planning.
How Does the ATCC Software Work?
The ATCC software from Intozi utilises advanced neural networks and deep learning algorithms to automatically count and classify vehicles using a specified road section. Video-based detection assists in capturing real-time traffic data for vehicle count, average traffic speed, vehicle counting and classification, traffic volume, and peak hours analysis.
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Video Source-Based Traffic Data Collection
Intozi's ATCC solution leverages advanced video analytics to capture and analyse real-time traffic footage. Strategically positioning compatible camera devices helps count and classify vehicles, monitor traffic flow, and provide actionable insights for intelligent traffic management.
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Data Processing
Providing accurate vehicle images, displaying vehicle class, color, speed, time of passage, etc. Intozi's ATCC software is empowered with advanced AI technologies to process the camera stream in order to count and classify vehicles with high precision.
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Traffic Classification & Axle Count
The ATCC software uses advanced technology to monitor and analyse traffic efficiently, accurately detecting, counting, and classifying vehicles across multiple lanes in real-time. Designed for 24/7 functionality, the software uses deep learning algorithms that enhance accuracy over time in free flow and stop-and-go traffic scenarios. This ATCC solution contributes towards the development of intelligent transportation systems in urban and highway environments. Intozi's ATCC software serves as an audit tool in toll plaza operations to verify toll collection accuracy and monitor vehicle types and counts.
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Data Reporting
Intozi's ATCC software comes with built-in reporting modules to view and download traffic information effortlessly. Traffic data can be analysed using multiple dimensions and integrated with BI tools like Power BI and Tableau for advanced traffic analytics.
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Real-time Analysis
Smart transportation technology uses real-time analysis capabilities for transportation agencies to respond quickly to changing traffic conditions. It helps reduce accidents, improve congestion management, and optimise road traffic efficiency.
Uses of Automatic Traffic Counter & Classifier
An ATCC system benefits transport authorities like NHAI, police departments,
toll operators, and transport audit agencies.
Intozi ATCC Software Benefits:
Automatic Traffic Counter & Classifier
traffic flow, speeds, and other relevant information.
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Delivering accurate traffic volume data with comprehensive count and classification analysis
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Easy traffic classification and axle count
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Quality traffic analysis and traffic counting system analytics
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Elimination of manual labour and manual methods of classification
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Intozi's ATCC vehicle classifier monitors free flow and stop-and-go traffic for improved road safety
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Highly cost-effective ATCC software solution
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Identification of congestion-prone areas
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Ensuring advanced safety standards with AI video analytics
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Informed decision-making for infrastructure projects
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Helpful for survey agencies, NHAI, privately owned toll agencies, and road planners for efficient infrastructure management
Enable Smarter Transportation with
AI-Powered Automatic Traffic Counter & Classifier
congestion monitoring, and intelligent traffic management.
Frequently Asked Questions (FAQs)
Intozi’s ATCC system automatically counts and classifies vehicles based on type, speed, and direction on roads or highways.
Automatic Traffic Counter and Classifier in India by Intozi provides accuracy rates of up to 98% and cover up to 2 lanes for vehicle counting and classification, ensuring reliable traffic data.
Yes, Intozi’s Automatic Traffic Counter and Classifier can even measure speed and vehicle direction on roads and highways.
Intozi’s ATCC system can classify a wide range of vehicles like two wheeler, auto, car/jeep/van, bus, truck, MAV/HCM, OSV, and LCV.
Yes, Intozi’s advanced ATCC systems use sensors and cameras designed to operate effectively day and night, even in adverse weather conditions.
Intozi’s ATCC systems help optimize traffic flow, reduce congestion, enhance road safety, and provide valuable data for infrastructure planning.
Yes, Intozi’s ATCC systems are designed for easy installation and minimal maintenance.
Data is collected in real-time and can be accessed through dashboards, reports, or APIs based on system configuration.
Absolutely, Intozi’s ATCC systems are versatile and can be deployed on highways, city roads, intersections, and even rural areas.
Data is securely stored and transmitted using encryption protocols to protect user privacy and system integrity.
Yes, Intozi’s ATCC system supports seamless integration with any third-party applications through standard APIs, enabling enhanced functionality and data sharing.