Recon AI-based Video Analytics for Highways and Smart City Surveillance.

Recon

Recon is an integrated system that comprises cutting-edge technologies, including AI-based video analytics. It provides seamless traffic monitoring by reading vehicle number plates, detecting violations, and managing incidents. From speed monitoring to vehicle classification, Recon helps highway and smart city authorities make better decisions using real-time data.

Solutions
Automatic Number Plate Recognition (ANPR)
The Automatic Number Plate Recognition (ANPR) system accurately detects and reads vehicle license plates all in real-time, ensuring precise identification of vehicles involved in violations or incidents.
It features advanced Plate Type Detection, recognizing various plate categories such as Private, Commercial, EV Green Plate, Bharat Series, Handwritten, Defence Plate, and Non-Standard plates.
The system also enables Violation Detection, identifying offenses like overspeeding, no helmet, triple riding, wrong lane usage, wrong direction driving, and the movement of banned vehicles.
It can also detect and classify global and Indian vehicle brands, making it a comprehensive solution for traffic enforcement and monitoring.
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Automatic Traffic Counting and Classification (ATCC)
The ATCC system is designed to provide accurate and real-time traffic data through advanced analytics.
Its powerful analytics engine delivers actionable insights on vehicle classification and vehicle count, ensuring precise monitoring of traffic flow on highways and local roads.
Trained for the diverse and unique Indian road environment, ATCC flawlessly identifies and classifies vehicles specific to Indian conditions. It classifies 18 different vehicle types, ranging from bikes to multi-axle trucks, making it one of the most comprehensive classification solutions available.
Additionally, ATCC operates seamlessly day and night, utilizing Infrared technology to ensure consistent and accurate performance, enhancing traffic management and enforcement capabilities.
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Video Incident Detection System (VIDS)
VIDS is a real-time traffic monitoring solution designed to enhance road safety and efficiency by detecting incidents such as stalled vehicles, fallen objects, poor visibility, wrong-way driving, slow-moving traffic, pedestrian/animal crossings, and camera tampering.
Built to meet NHAI 2023 policy standards, it captures evidence images and videos, sends real-time alerts, supports multi-camera monitoring, and maintains detailed incident logs, ensuring swift response and efficient traffic management.
With multi-ROI support, it enables focused monitoring of specific areas within the camera’s view.
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Vehicle Speed Detection System (VSDS)
The Vehicle Speed Detection System (VSDS) is designed to monitor and enforce speed regulations.
It accurately detects and tracks vehicle speeds in real-time, ensuring effective identification of speed violations. Integrated with Automatic Number Plate Recognition (ANPR), it captures and reads license plates to associate speed violations with specific vehicles.
The setup includes an ANPR camera, 4D radar for precise speed measurement, a speed display, and an optional strobe IR light for enhanced visibility in low-light conditions.
It is powered by EdgeTrack, a centralized platform that enables real-time monitoring, data analysis, and enforcement, ensuring seamless traffic management and violation control.
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Vehicle Actuated Speed Display (VASD)
VASD is an advanced real-time speed measurement system designed for highways and expressways to enhance road safety and compliance.
It detects vehicle speeds and instantly displays them, alerting drivers when they exceed the specified speed limits. By providing immediate visual feedback, VASD encourages responsible driving, helping to reduce overspeeding incidents and improve traffic regulation.
 Its seamless integration with enforcement systems ensures effective speed monitoring, making it a crucial tool for safer and more disciplined roads.
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Video Incident Detection and Enforcement System (VIDES)
VIDES is an advanced, all-in-one traffic management solution that integrates ANPR, ATCC, VIDS, and VSDS into a single platform. This ensures seamless real-time monitoring, detection, and enforcement.
In compliance with the 2023 NHAI circular, VIDES provides centralized traffic analysis, incident response, and violation management through its unified dashboard powered by EdgeTrack.
With real-time data access, it combines inputs from multiple systems for accurate traffic insights. Seamless monitoring enables centralized control of incidents, violations, and vehicle classification, while automated enforcement ensures instant challan generation for detected violations.
Actionable alerts via SMS and email provide immediate notifications for critical events like accidents, overspeeding, and wrong-way driving, making VIDES a powerful tool for enhancing road safety and enforcement.
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NIC approved
Automated Enforcement
Application Areas

Highways & Expressways

 Ensures seamless toll collection, traffic monitoring, speed enforcement, and incident detection to improve road safety and efficiency.
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Law Enforcement & Public Safety

Supports police and traffic authorities in stolen vehicle detection, violation enforcement, and crime prevention.
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Smart Cities & ITS (Intelligent Transport Systems)

Integrates with smart city infrastructure for automated traffic management, analytics, and real-time alerts.
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Industrial & Corporate Campuses

Monitors vehicle movement within restricted areas, ensuring secure and organized traffic flow.
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Why Choose Recon?
Recon offers a comprehensive, AI-powered solution that integrates ANPR, ATCC, VIDS, VSDS, and VIDES, delivering real-time incident detection, automated enforcement, and intelligent traffic management.

With cutting-edge technology and seamless monitoring, Recon ensures enhanced road safety, optimized traffic flow, and efficient violation management. Choose Recon for smarter, safer, and more efficient roads, backed by reliable, actionable data and powerful enforcement tools.
Upgrade to Recon today!
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