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Traffic Monitoring
Intelligent Traffic and Surveillance System
Applications of Intelligent Traffic & Surveillance Systems
1. Law Enforcement and Security
Enhance public safety through advanced AI-powered vehicle and driver identification. Our integrated Automatic Number Plate Recognition (ANPR), No Helmet Detection, and Accident Detection systems enable authorities to monitor compliance, identify violations, and respond quickly to incidents. Real-time alerts help track vehicles of interest, detect traffic offenses, and improve response times to security threats and road accidents — ensuring a safer and more secure environment for all road users.
2. Traffic Management (ATCC & Violation Detection)
Optimize traffic flow and strengthen road safety with intelligent monitoring and analytics. The Automatic Traffic Counter & Classifier (ATCC) system accurately measures vehicle count, type, and movement to support data-driven traffic control and urban planning.
Integrated AI-based video analytics automatically detect violations such as wrong-way driving, signal jumping, speeding, and lane indiscipline. Additionally, real-time accident detection helps authorities take immediate action, minimizing congestion and enhancing emergency response efficiency.
3. Parking Management
Transform parking operations with smart automation and real-time monitoring. Using ANPR and AI-powered surveillance, the system ensures seamless entry and exit, accurate vehicle tracking, and instant detection of unauthorized parking or violations. Real-time space monitoring improves operational efficiency across parking enforcement, toll collection, and valet management, while enhancing user convenience and security.
Automatic Number Plate Recognition
It is based on the Artificial Intelligence model for the Detection and Recognition of License Plates/Number Plates. It detects and identifies Unique License Plates of Vehicles by recognizing the characters on the License Plates through Optical Character Recognition and stores the complete details of license plates along with an Image in the Database.
Automatic Traffic Counting and Classification (ATCC)
It's an AI based video analytics solution that provides high accuracy in real-time vehicle counting and classification.It counts and classifies vehicles through live video feed taken from the IP/CCTV camera which is located at the desired location on the highway or junction.The Solution can detect and classify the vehicles into different classes such as BIKE, CAR, LCV, HCV etc.
Stopped Vehicle Detection
Most road accidents occur due to stopped vehicles. The stopped Vehicle Detection analytic is capable of detecting a stopped vehicle in multiple scenarios. Once the system detects the stopped vehicle, it is capable of taking a zoomed snapshot of the vehicle including the vehicle’s License Plate number image.
Wrong Way Detection
Vehicle wrong-way detection analytics provides an Intelligent Solution for traffic management by detecting vehicles going in the wrong way on the road. It sends an alarm and video feed to the central server when any vehicle moves in the wrong direction.
Pedestrian Movement Detection
Pedestrian Movement Detection locates a person in a prohibited or restricted area. The algorithm analyses the video frames and outputs the location of moving persons within the frame. With the help of advanced neural network-based architecture system is capable to detect persons roaming on the highway with key precision values.
Abandoned Object lying on road
Abandoned Object Detection has a very crucial Video Analytic Algorithm which can fulfill many of the current security requirements. It is practically impossible for humans to manually monitor crowded places, especially Highways, tunnels, Airports, Railway Stations, City Metro Stations, etc.
Red Light Violation Detection (RLVD)
RLVD is an intelligent and powerful video-based Violation Detection System. It Automatically detects and captures the vehicle crossing a defined zone while the traffic light is red. A zone can be a stop line or zebra crossing at the junction.
No Helmet Violation Detection
AI-powered no-helmet detection uses advanced computer vision to automatically identify riders without helmets on motorcycles or two-wheelers. Cameras continuously monitor traffic and detect violations in real time. The system helps improve road safety by alerting authorities.
Stopped Vehicle / Illegal Parking Violation Detection
Most road accidents are mainly due to stopped vehicles. Our analytics is capable of detecting a stopped vehicle in multiple scenarios. Once the system detects the stopped vehicle, it is capable of taking a zoomed snapshot of the vehicle which includes the License Plate number image of the vehicle.
Triple Riding Violation Detection
Triple Riding Detection systems work by Evidence Capturing Mechanism of Commuters traveling on a Two Wheeler with 3 Persons on a Single Vehicle (Triple Riding) in tandem with the ANPR System. The Algorithm is based on the Artificial Intelligence model and Utilizes Deep Learning methodology for Triple Riding Violations.
