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Intozi Tech Pvt Ltd
Unit no- 629, 644, 645 Tower B2, Spaze I-Tech Park, Sohna Road Sec 49, Gurgaon, Haryana-122018
MON-FRI 09:00 - 20:00, SAT 10:00 - 14:00
Transform your city’s traffic flow and reduce congestion with ITMS Solutions – smart, efficient, and reliable traffic management system.
Amazing and high-class traffic management systems for reducing traffic congestion, improving the ease of traffic flow.
Intelligent Traffic Management System or ITMS camera systems from Intozi includes a myriad of systems like Vehicle Incident Detection System (VIDS), Speed Violation Detection (SVD), Vehicle Speed Detection System ( VSDS), Red Light Violation Detection (RLVD), Automatic Number Plate Recognition (ANPR), Automatic Traffic Counter & Classifier (ATCC), Traffic Congestion Detection, etc. All of this for traffic data collection, road traffic solutions, traffic data solutions, and traffic management.
Move from reactive to proactive security. Detect and respond to incidents before they escalate, protecting people, assets, and critical infrastructure around the clock.
Intozi’s AI-driven analytics distinguish between genuine threats and harmless activity, dramatically reducing false positives and alert fatigue for security teams.
Automatically monitor and report on safety protocols like PPE usage and zone access, helping organizations stay audit-ready and compliant with safety regulations.
Automated alerts are instantly dispatched to the right personnel, enabling faster response times and reducing the window of risk during security events.
Seamlessly integrates with your existing IP/CCTV infrastructure and security management platforms. Deploy without disruption to ongoing operations.
Intozi’s intrusion and trespassing detection system leverages advanced AI video analytics to monitor restricted and sensitive areas in real time. By continuously analyzing video feeds, the system instantly identifies unauthorized individuals who enter protected zones and triggers immediate alerts to security personnel. This solution is essential for protecting critical infrastructure, industrial sites, data centers, and private facilities from unauthorized access
Continuously monitors defined restricted zones and instantly detects unauthorized entry, triggering real-time alerts.
Sends instant notifications to security teams via mobile, email, or integrated security platforms upon detecting a breach.
Define custom virtual zones and boundaries within any camera view; no physical barriers required.
Monitors multiple entry points and zones simultaneously across an entire facility from a single dashboard.
Automatically captures and stores video evidence of intrusion events for investigation, audit trails, and compliance reporting.
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
Intozi’s Fence Jumping Detection system uses AI video analytics to monitor perimeter fencing and boundary structures in real time. The system accurately identifies individuals attempting to climb, scale, or jump over fences and barriers, instantly alerting security personnel to prevent unauthorized access. This solution is critical for securing high-risk environments such as airports, industrial plants, military bases, and warehouses.
Detects any attempt to climb, scale, or jump over fences and triggers real-time alerts before a breach is completed.
Operates around the clock, including low-light and nighttime conditions with IR-compatible support.
Notifies security teams in real time with precise location data of the breach attempt for rapid intervention.
Automates perimeter monitoring to reduce operational costs and eliminate human error from traditional patrolling.
Define specific high-risk segments of the perimeter for heightened monitoring and alert priority.
Captures and stores video clips of detected fence breach attempts for legal and compliance purposes.
Automatically flags individuals who remain in a defined zone beyond a configurable time limit.
Sends real-time alerts to security staff to investigate and act on suspicious loitering behavior.
Set up multiple monitored zones with different dwell-time thresholds based on the area’s security requirements.
AI analyzes movement patterns to distinguish between genuine loitering and normal waiting behavior, reducing false alarms.
Deploys on existing camera networks with no additional hardware required
Logs time-stamped records of loitering events with video evidence for security audits and incident reporting.
Continuously tracks forklift and vehicle movement speed against predefined safety thresholds across all monitored zones.
Triggers immediate notifications to floor supervisors when a vehicle exceeds the permitted speed limit.
Configure different speed limits for different areas such as loading docks, pedestrian crossings, and narrow aisles.
Reduces the risk of forklift-related accidents, protecting both equipment operators and workers on foot.
Generates detailed logs and reports on speed violations to support regulatory compliance and safety audits.
Works with existing warehouse management systems and CCTV infrastructure for rapid deployment.
Our number plate reader (ANPR camera) offers up to 95% accuracy on clearly visible number plates.
Includes vehicle count and classification.
Seamless boom barrier integration for parking management and access control.
Integration with any third-party applications is simple and efficient.
Accurately reads number plates of two-wheelers and autos.
Efficient data transmission with minimal network usage.
Capable of classifying vehicles into up to 8 different classes, including two-wheelers, three-wheelers, and heavy vehicles.
Provides precise vehicle counting for accurate traffic analysis.
Offers smart dashboards and detailed reports for easy access to traffic data, both locally and remotely.
Effectively monitors both free-flowing and stop-and-go traffic scenarios.
Covers multiple lanes to provide comprehensive traffic insights.
Availability of images for data validation to ensure accuracy and reliability.
Intozi's Traffic Congestion Detection solution utilizes AI video analytics to monitor and analyze real-time traffic conditions. By processing video feeds from ITMS 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, this ITMS system helps in planning for infrastructure improvements based on detailed traffic analysis.
Provides real-time visual maps highlighting congested areas.
Identifies and alerts about incidents causing sudden traffic build-ups, such as accidents or roadworks.
Uses historical data and machine learning to forecast future congestion trends.
Sends real-time traffic updates to commuters via apps and digital signage.
Assesses the environmental impact of traffic congestion, helping to develop greener traffic solutions.
Availability of images for data validation to ensure accuracy and reliability.
Identifies improperly parked or stopped vehicles instantly for quick enforcement.
Captures video and photographic evidence for each incident, facilitating legal and administrative processes.
Integrates easily with existing traffic management systems.
Utilizes AI to enhance detection accuracy and minimize false positives.
Generates alerts for prompt action, improving operational efficiency and road safety.
Identifies and records traffic violations instantly, ensuring timely enforcement.
Captures video and photographic evidence for each violation, facilitating legal and administrative processes.
Easily integrates with existing traffic management and law enforcement systems for efficient operation.
Utilizes AI to enhance detection accuracy and reduce false positives, ensuring reliable monitoring.
Sends immediate alerts to the Integrated Command Control Centre for prompt action and oversight.
Unit no- 629, 644, 645 Tower B2, Spaze I-Tech Park, Sohna Road Sec 49, Gurgaon, Haryana-122018
MON-FRI 09:00 - 20:00, SAT 10:00 - 14:00
The ITMS camera full form is Intelligent Traffic Management Systems.
The ITMS radar camera is an advanced system that provides advanced solutions for smarter traffic management.
Intelligent Traffic Management System (ITMS) integrates advanced technologies like AI video analytics, machine learning, 4D ITMS radar cameras, etc. to collect and analyze real time traffic data. It gathers information from cameras, sensors, GPS devices, and systems like ANPR and RLVD to monitor traffic flow, predict congestion, and optimize signal timings for ensuring smoother traffic movement.
AI in ITMS systems analyses the data that is collected from multiple sources and helps the operator to predict and manage traffic conditions for enhancing traffic management and road safety in real time
Since ITMS cameras are a collection of multiple systems, they can be easily customized to enable the systems that are required and disable those which aren’t. So, yes, an ITMS solution can be customized.
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.
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.
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.
Yes, the RLVD system reduces enforcement costs by automating detection, minimizing the need for human intervention and facilitating the efficient issuance of e-Challans.
While managing traffic an ITMS camera helps in automatically capturing overspeeding violations using a vehicle speed detection system, and rider helmet violations using a traffic violation detection system.
A Traffic Video Detection System (VIDS) uses radar cameras and computer vision to automatically detect and classify traffic events and conditions.