Intelligent Traffic Management System

Transform your city’s traffic flow and reduce congestion with ITMS-smart, efficient, and reliable traffic management system.

Intelligent traffic mangement system

Intelligent Traffic Management System

Amazing and high-class traffic management systems for reducing traffic congestion, improving the ease of traffic flow.

Traffic Management Use Cases

Intozi offer a wide range of products for traffic management and enforcement which are
suitable for Urban Traffic as well as for Highways.

Video Analytics Solutions for ITMS

Vehicle Incident Detection System (VIDS)

Intozi’s vehicle incident detection system (VIDS) is used to monitor traffic and different types of road accidents on a free flow traffic in an autonomous manner. Alerts for important safety incidents such as poor visibility, road accidents and many more are sent to ICCC as well as on site alarms in the form of blinkers or hooters are raised to alert the commuters. This ensures enhanced road safety and efficient incident management.

Abnormal Traffic Flow Incident Detection: Enhances road safety by identifying and mitigating potential hazards quickly.

Alerts for Poor Visibility to Warn Commuters: Reduces accident risk by informing drivers to drive cautiously in low visibility conditions.

Stalled Vehicle or Accident Incident Detection with Video Evidence: Enables quick emergency response and provides crucial evidence for post-incident analysis.

Centralized Monitoring from ICCC: Facilitates efficient coordination and real-time analysis of traffic and incidents.

On-Site Alerts as well as Alerts in ICCC: Ensures both commuters and authorities are immediately aware of incidents for prompt action.

Vehicle Actuated Speed Display System (VASDS)

Intozi’s radar based vehicle speed display system (VASDS) works perfectly by detecting the speed of vehicles in free flow traffic. It displays the warning for over speeding vehicles in real time on display to alert the speeding vehicle’s driver

Visibility from a distance up to 150 meters

Alerts in multiple colors

Vehicle Category wise alerts for over speeding vehicles

Custom message broadcasting from ICCC

Supports vehicle number plate reading

Speed Violation Detection (SVD)

Intozi’s best-in-class speed violation detection system is capable of detecting vehicle speed with great precision even for the traffic moving at high speed. Vehicle classification feature helps to track over speeding vehicles on the basis of speed limits defined for respective vehicle classes. Advanced ANPR engine works perfectly during day & night to extract vehicle numbers accurately.

Highly Accurate: Capable to detect the speed up to 220 km/h with threshold of ± 1 km/h for a free flow traffic scenario. Radar based SVD is capable of detecting the overspeed of vehicles up to 3 lanes.

Multiple Violations Detection: Intozi’s SVD not only detects speed violations but also it detects other traffic rule violations such as no helmet, no seat belt, triple riding and wrong lane driving can also be detected.

Vehicle details: Extract additional vehicle information like Vehicle class,Color and licence plate category.

Advanced ANPR engine: Intozi’s SVD system is equipped with the most advanced automatic number plate recognition (ANPR) engine to read vehicle numbers from HSRP, Non-HSRP and fancy number plates with perfection during day & night and it supports multiple languages.

Smart Alerts: SVD sends instant alerts for violating vehicles on Email or SMS. Setting and configuration for instant alerts can be done using user friendly web based dashboard application

E-Challan Integration: Centralised dashboard can be integrated with Vahan Portal/E-Challan to fetch information on the basis of vehicle registration number to penalise the offenders. Authorities can validate the details and can penalise the offenders.

Vehicle Speed Detection System (VSDS)

Intozi’s 4D radar based vehicle speed detection system (VSDS) works perfectly by detecting the speed of vehicles along with ANPR in free flow traffic. It displays the warning for over speeding vehicles in real time on display to alert the speeding vehicle’s driver. Cameras used in VSDS will be used to extract the vehicle class & registration number automatically and add on features like vehicle make, model and colour.

Speed detection up to 270 Kmph: Enables the monitoring of high-speed vehicles to improve road safety. The VASD is integrated with the VSDS for speed display, alerting drivers by showing the speed in different colors—Green, Yellow, Amber, and Red—based on the defined speed limits.

Seamless integration with HTMS application: Allows for easy incorporation into existing traffic management systems.

Multi vehicle speed detection up to 256 objects simultaneously: Provides comprehensive monitoring of traffic flow in real time.

Highly accurate ANPR along with vehicle classification & count: Enhances enforcement and traffic analysis with precise vehicle identification.

Vehicle class & lane mapping: Facilitates detailed traffic management and analysis based on vehicle types and lanes.

Smart Reporting – Vehicle logs, violation logs, video clips, health monitoring: Provides comprehensive data for monitoring, analysis, and maintenance.

Red Light Violation Detection (RLVD)

Intozi’s RLVD system works on computer vision technology to detect the red light violation at traffic junctions. Video evidence and images of violations are sent to a centralized server on a real-time basis.

Accident Reduction: Helps reduce the number of accidents caused by drivers running red lights by deterring violations through constant monitoring and enforcement.

Real-Time Alerts: Sends real-time alerts to traffic control centers, allowing for immediate action and response to violations.

Cost Efficiency: Reduces enforcement costs by minimizing the need for human intervention and dependencies, utilizing automated detection and processing.

e-Challan Enforcement: Facilitates the issuance of electronic challans (e-Challans) for traffic violations, streamlining the enforcement process.

Video Evidence Collection: Captures and transmits high-quality image and video evidence to verify violations, ensuring accurate and fair enforcement.

Automatic Number Plate Recognition (ANPR)

Intozi’s AI Enabled ANPR (Automatic Number Plate Recognition) Solution utilizes advanced video analytics for detecting vehicle number plates with high accuracy. Powered by AI technology, this system is capable of capturing and detecting plates in complete darkness, glaring light, and adverse weather conditions. It offers exceptional detection and recognition capabilities, making it ideal for challenging imaging problems at critical infrastructure sites and remote facilities.

High Accuracy: Up to 95% accuracy on clearly visible plates.

IoT Enabled Class Detection: Includes vehicle count and classification.

Easy Integration: Seamless boom barrier integration for access control.

Plug & Play: Integration with any third-party applications is simple and efficient.

Versatile Reading: Accurately reads number plates of two-wheelers and autos.

Low Bandwidth Requirement: Efficient data transmission with minimal network usage.

Automatic Traffic Counter & Classifier (ATCC)

Intozi’s Automatic Traffic Counter & Classifier (ATCC) is a video-based solution designed to count and classify vehicle traffic in real time. Unlike traditional systems that rely on magnetic mass technology, Intozi’s ATCC leverages advanced computer vision technology to provide accurate traffic management insights. This innovative system helps in planning traffic flow efficiently, ensuring better traffic movement and management.

Automatic Vehicle Classification: Capable of classifying vehicles into up to 8 different classes, including two-wheelers, three-wheelers, and heavy vehicles.

Vehicle Counting: Provides precise vehicle counting for accurate traffic analysis.

Smart Dashboard & Reports: Offers smart dashboards and detailed reports for easy access to traffic data, both locally and remotely.

Free Flow & Stop-and-Go Traffic: Effectively monitors both free-flowing and stop-and-go traffic scenarios.

Multiple Lane Coverage: Covers multiple lanes to provide comprehensive traffic insights.

Data Validation: Availability of images for data validation to ensure accuracy and reliability.

Traffic Congestion Detection

Intozi's Traffic Congestion Detection solution utilizes AI video analytics to monitor and analyze real-time traffic conditions. By processing video feeds from traffic cameras, the system can detect congestion patterns, identify bottlenecks, and provide actionable insights to traffic management authorities. This technology aids in optimizing traffic flow, reducing travel times, and enhancing overall road safety. Additionally, it helps in planning for infrastructure improvements based on detailed traffic analysis.

Dynamic Congestion Mapping: Provides real-time visual maps highlighting congested areas.

Incident Detection: Identifies and alerts about incidents causing sudden traffic build-ups, such as accidents or roadworks.

Predictive Analytics: Uses historical data and machine learning to forecast future congestion trends.

User Notifications: Sends real-time traffic updates to commuters via apps and digital signage.

Environmental Impact Analysis: Assesses the environmental impact of traffic congestion, helping to develop greener traffic solutions.

Data Validation: Availability of images for data validation to ensure accuracy and reliability.

Wrong Park/Stopped Vehicle Detection System

Intozi’s Wrong Park/Stopped Vehicle Detection System uses advanced AI video analytics to identify and manage vehicles that are improperly parked or stopped in restricted areas. The system detects these incidents in real time, providing accurate enforcement and ensuring smooth traffic flow. It generates alerts for prompt action, facilitating efficient operation and enhancing road safety.

Real-time Detection: Identifies improperly parked or stopped vehicles instantly for quick enforcement.

Automated Evidence Collection: Captures video and photographic evidence for each incident, facilitating legal and administrative processes.

Seamless Integration: Integrates easily with existing traffic management systems.

AI-driven Analytics: Utilizes AI to enhance detection accuracy and minimize false positives.

Alert Generation: Generates alerts for prompt action, improving operational efficiency and road safety.

Traffic Violation Detection System

Intozi’s Traffic Violation Detection System uses AI video analytics to monitor and detect traffic violations in real time. It identifies incidents such as red light running, illegal turns, speeding, and lane violations, ensuring accurate enforcement. The system integrates with existing traffic management infrastructures and sends alerts to the ICCC (Integrated Command Control Centre) for immediate action. This enhances road safety and compliance with traffic laws.

Real-time Violation Detection: Identifies and records traffic violations instantly, ensuring timely enforcement.

Automated Evidence Collection: Captures video and photographic evidence for each violation, facilitating legal and administrative processes.

Seamless Integration: Easily integrates with existing traffic management and law enforcement systems for efficient operation.

AI-driven Analytics: Utilizes AI to enhance detection accuracy and reduce false positives, ensuring reliable monitoring.

ICCC Alerts: Sends immediate alerts to the Integrated Command Control Centre for prompt action and oversight.

FAQs

How does the RLVD system detect red light violations?

The RLVD system uses computer vision technology to monitor intersections and detect when a vehicle crosses the stop line after the traffic light has turned red, capturing both video and photographic evidence of the violation.

What happens after a violation is detected?

The system sends video and image evidence to a centralized server in real-time. Traffic control centers receive alerts and can issue electronic challans (e-Challans) to violators based on the collected evidence.

How does the RLVD system improve road safety?

By providing continuous monitoring and real-time alerts, the RLVD system deters drivers from running red lights, thereby reducing the likelihood of accidents at intersections.

Is the RLVD system cost-effective?

Yes, the RLVD system reduces enforcement costs by automating detection, minimizing the need for human intervention and facilitating the efficient issuance of e-Challans.

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