Bengaluru, the Silicon Valley of India, now has future-ready and resilient AI-powered traffic solutions.

The Solution

The Bengaluru Traffic Authority wanted an advanced AI-based solution that is both scalable and delivers accurate results. The increased traffic problems and violations have also led to an increase in the number of accidents. This situation demanded a solution that captured multiple violations in real-time, enhanced situational awareness, inculcated discipline among citizens, and most importantly, made Bengaluru roads safer.

After identifying the problem and formulating a proposed solution, the next and most crucial part of the process was finding the ideal technology partner for this project. After rigorous evaluation and intensive discussions, the Bengaluru Traffic Authority, the stakeholders, and a panel of traffic authorities zeroed down on Videonetics as the perfect technology partner in collaboration with MATRIX Security and Surveillance Pvt Ltd as the system integrator. Acclaimed as a market leader, Videonetics has secured 150+ cities and monitored 25K+ traffic lanes across many geographic areas. The administration was keen to have an open platform that would help them add more capabilities and applications over time. With these goals in mind, the AI-powered Videonetics Traffic Management System (TMS) comprising various use cases such as Automatic Number Plate Recognition, Red Light Violation Detection, Over Speed Detection, and No Helmet Detection to name a few deployed at 50 significant intersections.

1. The automatic number plate recognition solution helped the local authorities identify all suspicious, wanted, and stolen vehicles by accurately capturing and recognising the number plates of cars, taxis, buses, trucks, and autorickshaws (tuk-tuk). This enabled the operators to identify and stop all such vehicles as soon as they were captured by ANPR.
2. The red light violation detection is an end-to-end solution that revolutionised road monitoring by generating round-the-clock alerts in various forms whenever a vehicle violates a red light at a traffic intersection.
3. Over-speeding detection feature identifies vehicles that do not adhere to the permissible speed limits on roads and highways, while the built-in ANPR engine captures license plate information to record the violations. As the city roads are narrow, vehicles plying at high speed can often become the cause of an accident.

1. Many road accidents involving two-wheelers result in head injuries when the riders do not wear helmets. The no helmet detection use case assists traffic police personnel in detecting, identifying, and penalizing offenders.
2. Triple riding detection has also been deployed to ensure the safety of citizens riding two-wheelers. The application captures violations if more than two riders are spotted riding on a two-wheeler.
3. To force drivers of 4-wheelers to wear seat belts for their own safety, the Bengaluru traffic authority deployed the no seatbelt detection use case solution to analyse live video streams and quickly detect drivers (& co-driver) who are not wearing seat belts while driving.
4. Another major cause of accidents due to distracted drivers is the usage of cell phones. Videonetics Traffic Management System also provided the use case of detecting a driver using a cell phone in real-time by analysing his (or her) gestures and body movement.

All the AI-powered traffic applications described above have helped the city’s law enforcement monitor traffic round-the-clock, record traffic violations in real time, and send alerts to authorities for further action.

Phase - 1 of the project has been completed and covers 50 of the busiest intersections, entry-exit avenues, and areas known to witness regular congestion & accidents.

Smarter traffic management and faster decision-making with Videonetics TMS Dashboard:

Bengaluru traffic officials don't just receive data on traffic violations in real time but also obtain significant insights on citywide traffic characteristics such as density, headway, and traffic composition at regular intervals, thanks to the Videonetics TMS dashboard.

The dashboard assists traffic officials in making informed decisions, as it keeps them updated on the distribution of vehicles, violations, and incidents across the city. Moreover, they also have access to statistical analysis of the traffic flow at various intersections across the city, filtered by attributes of vehicles such as class, colour, & registration types, and even compare it to the data in the past.

We are elated to be working with Videonetics on this project. Their AI-based video management solution is revolutionary for government entities, especially in terms of road monitoring. They offer holistic and scalable solutions that empower local authorities to maximise the use of their visual data. Additionally, these solutions ensure enhanced security and governance, promote law-abiding behaviour among citizens, and contribute to making the roads safer.

Aditya G, Vice President – Technical,
MATRIX Security and Surveillance Pvt Ltd.