Intozi’s AI vehicle speed detection system measures vehicle speed in real time, identifies overspeeding, and captures ANPR-backed evidence for automated enforcement across highways, urban corridors, and smart city road networks.
Key Features
Measure vehicle speed accurately in free-flow traffic and flag overspeeding instantly using AI video analytics and radar-integrated input.
Detects vehicle speeds up to 270 km/h with a ± 1 km/h threshold, delivering precise and reliable measurement across busy multi-lane roads.
As an ANPR Integrated Vehicle Speed Detection System, the solution links every overspeeding event with a verified vehicle.
Track up to 256 objects across up to 3 lanes simultaneously, ensuring comprehensive coverage and accurate monitoring on high-traffic corridors.
Identify speed violations automatically with computer vision, capturing timestamped evidence for consistent and transparent enforcement.
Integrate seamlessly with existing CCTV, NVR, and VMS infrastructure, enabling rapid deployment without costly hardware replacement.
Advanced Vehicle Speed Detection for Smarter Traffic Operations
Intelligent Speed Enforcement Section
Gain complete visibility into traffic speed with continuous monitoring across multiple lanes. The system evaluates vehicle speed in real time, helping authorities detect overspeeding early and respond faster.
AI-based vehicle speed detection system delivers accurate performance across dense traffic, varying lighting conditions, and high-speed movement. Powered by deep learning, it provides consistent, dependable speed measurements around the clock.
Automatically capture the registration number, vehicle class, make, model, and colour for every flagged vehicle. By combining speed data with ANPR, the system creates complete, enforcement-ready records for faster processing.
Intozi’s vehicle speed detection system (VSDS) combines AI video analytics with radar-integrated speed input to detect overspeeding accurately and at scale. It supports intelligent traffic management systems and smart traffic initiatives.
Transform speed data into actionable intelligence through intuitive dashboards and reports. Identify high-violation corridors, analyze time-based trends, and support targeted enforcement and road safety planning.
Detect unusual traffic events such as sudden slowdowns, congestion build-up, and wrong-way movement in real time. Early alerts help authorities respond faster, minimize disruptions, and improve overall road safety.
Vehicle Speed Detection – How Does It Work?
This real-time speed violation detection system uses AI video analytics, with radar-integrated speed input, to convert live traffic feeds into enforcement-ready insights.
Capture live video from existing roadside CCTV infrastructure
Measure vehicle speed using AI models and radar-integrated speed input
Detect, track, and classify vehicles using computer vision
Identify overspeeding and speed violations in real time
Extract number plate information and vehicle details through ANPR
Generate real-time alerts, evidence records, and e-challan-ready violation reports
Where Vehicle Speed Detection Adds Value
Detect overspeeding on high-speed corridors to improve compliance and prevent accidents.
Enforce speed limits on busy city roads to enhance commuter safety and traffic flow.
Enable centralized speed monitoring, real-time alerts, and enforcement decisions.
Improve safety in sensitive areas by flagging speed violations early.
Monitor speeds at entry and exit points while linking violations to identified vehicles.
Maintain safe operating speeds in high-risk, controlled-access stretches.
Manage heavy-vehicle speeds near warehouses, ports, and freight hubs.
Use analytics and insights for road design, speed-limit optimization, and mobility planning.
Key Benefits of Vehicle Speed Detection
Reduce overspeeding and lower crash risk on high-speed roads.
Minimize manual effort with AI-based detection and e-challan processing.
Link every violation to a verified vehicle with ANPR-backed proof.
Enable instant notifications to control centers for faster response to violations.
Reduce deployment and operational costs by leveraging existing CCTV infrastructure.
Identify high-risk stretches using speed analytics for targeted enforcement and planning.
Frequently Asked Questions (FAQs)
A vehicle speed detection system is an AI-powered solution that measures vehicle speed in real time and identifies overspeeding. By processing live CCTV feeds with AI video analytics and radar-integrated speed input, it detects violations, links them to vehicles through ANPR, and generates enforcement-ready evidence for traffic authorities.
VSDS measures each vehicle’s speed as it moves through the monitored zone and compares it against the defined speed limit for that vehicle class. When a vehicle exceeds the limit, the system flags the violation, captures timestamped evidence, and extracts number plate and vehicle details through ANPR for automated enforcement.
AI-based speed detection is highly accurate, detecting speeds up to 270 km/h with a ± 1 km/h threshold across up to 3 lanes. Intozi’s models are optimized for complex, mixed traffic conditions, maintain consistent accuracy in varying lighting and high-speed environments through continuous processing and learning.
Yes. Intozi’s vehicle speed detection software integrates with existing CCTV, NVR, and VMS infrastructure and supports radar-integrated speed input, eliminating the need for costly hardware replacement. This makes deployment faster, more cost-effective, and easy to scale across highways and cities.
Ikshana is Intozi’s unified video analytics platform that powers vehicle speed detection along with other traffic and safety modules. It processes AI models on existing CCTV feeds to detect overspeeding, manage alerts, and deliver enforcement-ready evidence through a single dashboard. Its modular architecture allows authorities to scale VSDS and integrate it with ANPR, RLVD, and incident detection systems.
