Adding sense to surveillance.

Intelligent Traffic Management System

DL C 5678

Videonetics' Intelligent Traffic Management System is specially designed and architected to

replace tedious manual processes to track, regulate and analyse vehicle movement on roads,

and to enforce traffic rules for safety of citizens and their properties. It acts as a true decision

support system for traffic planners and traffic law enforcement agencies. The system is

integrated with Videonetics' Intelligent Video Management and Video Analytics solution in a

unified, monolithic system architecture, so that video surveillance and traffic monitoring

services complement each other, thus addressing the field issues with a holistic approach.

Videonetics Intelligent Traffic Management System

Automated Number Plate Recognition (ANPR) system

ANPR system automatically captures the license plates of any vehicle(s) in the field of view (FOV) of a camera as

shown in Figure 1 and stores them in database, so that details of the vehicles are available at any later point in time

along with related video footage. If there is more than one vehicle in the camera FOV, then all of them are

independently processed and their license plates are recognised irrespective of the type of vehicle – private car, taxi,

bus, truck, auto rickshaw, motorcycle, or any

others that require valid license plates to ply

on the road. The system offers full VMS

functionality along with incident detection

analytics applications – all in a single,

unified, monolithic systems architecture. It

automatically generates alerts when any

vehicle captured within the camera FOV is

recognised as 'suspicious', 'wanted', or any

other category tagged by the user. The

system has integration framework with a

city surveillance system. The vehicles can be

searched on the basis of timestamp,

number plate, colour or vehicle category.

Red Light Violation Detection (RLVD) system

The custom-built, end-to-end solution is

designed for Indian conditions to effectively

monitor road junctions 24x7, and generate

alerts in various forms when a vehicle

violates red light at a traffic intersection. The

system offers full VMS functionality along

w i t h i n c i d e n t d e t e c t i o n a n a ly t i c s

applications – all in a single, unified

monolithic systems architecture. The

system is architected in a modular fashion

so that it is scalable, and additional roads

can be added to the system for monitoring

and incidence detection.

SYSTEMS ARCHITECTURE FOR RLVD

Videonetics' RLVD system supports both centralised as well as distributed computing architecture.

A. Centralised systems architecture: Video feeds from all the cameras on a road terminate in the central control

room, if it is equipped with proper communication infrastructure, bandwidth, servers, storage and other IT

infrastructure. All these video feeds are analysed in real time in these central servers to detect violation of red

light and automated recognition of the license plates of the violating vehicles. The systems architecture is

conceptually shown in Figure 2.

B. Distributed systems architecture: Multiple IP cameras installed at each junction are connected to a local mini

server placed at the junction itself. The video feeds are analysed in real time by the server to automatically detect

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Figure 1a: Automatic Number Plate Recognition

Figure1b: Red Light Violation Detection

violation locally and transmit only the

violation clip and related information to the

control room. The junctions are centrally

connected to the control room through

VPN using private or public leased

line/MPLS service. Details of working

principle of the distributed systems

architecture in shown in Figure 3.

WORKING PRINCIPLE OF DISTRIBUTED

SYSTEMS ARCHITECTURE FOR RLVD

The Video Management Server is located in

central control room to capture the events and

alerts sent by the servers installed at traffic

junctions. The events thus captured are

archived in NAS/SAN storage. Live video feed from the cameras are also received by the central server and stored in

the same NAS/SAN, and are streamed to remote clients for live monitoring. The video thus stored can be searched

based on date/time/camera number/camera location and other filtering criteria. Similarly, all the events (RLVD

and/or SVD) can also be searched and investigated. Snapshot of camera view and video clips of each event are stored,

so that sufficient evidential proof exists to corroborate the occurrence of an offence.

On detection of incidents, alerts will be sent via SMS, emails or video pop ups to designated users. Video clips for all

the detected incidents are stored in a watermarked and encrypted format as evidential proof, and can be downloaded

for any specific time duration by privileged users. The downloaded clips can be replayed using any standard player.

The system follows open architecture philosophy. Users can use Windows, Linux, Mac OS for Servers and all the

above as the client platform. Live viewing, archive search and receiving incident alerts are also supported on cell

phones and tablet PCs.

Traffic signal interface hardware: An I/O module interfaces between the server and the traffic signals. The I/O module

has analog inputs, with each input corresponding to a particular red light signal. The red light status for each traffic light

is available over Ethernet interface, so that the server knows the status of each traffic light at any given point in time.

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Servers

Monitors Workstations

OFC link

Evidence cameras

ANPR camera &IR illuminator

To other cameras

I/O module

Interface to traffic signal

RLVD server

Storage device

Figure 3: Distributed RLVD set-up (a) Central control room (b) Road junctions

(a)

(b)

Backbone network

IP cameras at junction

RLVD analysis

Control room

Figure 2: Centralised RLVD system

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HOW THE SYSTEM WORKS

There will be one camera ('ANPR camera') per lane to capture the license plate, and one camera ('evidence camera')

per road to analyse and capture the red light in time synchronised fashion. The software running in the server (at

junctions) continuously analyses the video streamed by both the ANPR as well as evidence cameras. When the red

light is detected as on, the vehicle that crosses the stop line is detected by the system and its license plate is

automatically localised and Videonetics' indigenously developed OCR engine extracts the license plate number of

the violating vehicle. Videonetics' OCR engine has been designed and customised for the Indian scenario.

Similarly, irrespective of whether the red light is on or off, any vehicle which is listed as a 'suspect' or 'wanted' vehicle in

the hotlist is automatically recognised by matching the extracted license plate number with the entries in the hotlist.

In both the cases above, an event is said to have occurred. Once an event occurs, the information associated with the

event (camera name, junction name, time stamp, license plate image, license plate number, etc.) is sent to the

central server and stored in database. A report of all such events can be generated from the system. Also, video clips

associated with the event can also be replayed on user request.

All the events detected and captured by the system are also locally stored in the mini server at the junction. If

connectivity between the junction and the central control room is lost at any point of time, events and relevant video

clips are not lost. Once the connectivity is resumed, the details of the events are sent to the central control room.

Hence the redundancy is efficiently maintained both at the central control room as well as at each junction.

REPORTS

User can search the archives for the events sitting at the control room. There can be various search criteria, e.g., date

and time, event type, license plate number, or any combination of these parameters. The search results appear on

screen and can be exported as an Excel or PDF file. A representative report format along with the evidence proof from

multiple cameras at the junction is shown in Figure 4.

ALERT NOTIFICATION

The system can be configured to send messages to any other third-party software/device whenever any event is

detected. Additionally, the system itself can send emails and SMS to any recipient as notification against an event.

Figure 4b: RLVD event report with link to evidence videoFigure 4a: ANPR event report

Vehicle entry-exit monitoring (VEEM) system

Videonetics vehicle entry-exit monitoring software can be installed in a standard server to keep track of the vehicles

that enter and leave gated premises. The software automatically detects entry or exit of vehicles and stores their

details including license plate number, time of entry, time of exit, colour of the vehicle etc. in database. Integrated with

a boom barrier system, the software can be used to operate the boom barrier automatically for 'registered' vehicles.

RESTRICTING ENTRY/EXIT OF VEHICLES

Given a list of vehicles, the system can alert the

user if any unregistered vehicle is detected at the

entry/exit gate. This will help you to bar entry or

exit of that particular vehicle without prior

permission from the authorised person.

RESTRICTING OVERSTAYING OF VEHICLES

The system continuously checks which vehicles

have entered the premises but are yet to leave.

This helps the user to configure the system to

automatically generate an alert if a vehicle is

overstaying within the premises beyond the

time limit.

HISTORY OF VEHICLES

Given a license plate number of a vehicle, the system tells you how many times, and when, the vehicle has

entered/left the premises in a given time duration.

EVENT CLIPS

Whenever a vehicle enters or leaves the premises, the camera generates a video footage and stores it in an archive.

The user can replay the footage at any later point in time to investigate. The video footage can be searched using

various filtering criteria, e.g. a specific license plate number, vehicle colour, duration of stay in the premises etc.

REPORTS

You can generate and print a list of all the vehicles that have entered or exited the premises during a given time span.

You can apply various filtering criteria to reduce the search space.

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Entry gate

Exit gate

Server & workstation

Figure 5: Vehicle entry-exit monitoring system

Minimum hardware requirement for RLVD system

DESRIPTION QUANTIITY LOCATION REMARKS

Quad Core Xeon based server or equivalent

with 16 GB RAM, 1 TB HDD, Gbps NIC with 8 ANPR camera using RLVD software

I/O module 1 per junction At road junctions To get signal status

Quad Core Xeon based server or equivalent 1 server per 64 junctions At control room For overall management of the system, event handling, third party

with 16 GB RAM, 1 TB HDD, Gbps NIC software integration etc. using VMS software

Quad Core Xeon based server or equivalent 1 server At control room For DBMS

with 16 GB RAM, 1 TB HDD, Gbps NIC

Intel Core i3 based workstation with 8 GB RAM, 1 PC per 32 camera view At control room For live monitoring, archive search and incident alert pop-up

Nvidia graphics card (1GB RAM) per viewing location

NAS/SAN storage 12 GB for 24 hours At control room At central control room

video per camera

Layer 2 network switch cum router 1 per junction

Layer 3 network switch 1 At control room

Router 1 Ar control room

1 server per junction At road junction To analyse camera video feed for RLVD event generation

VIDEONETICS – A FAST-GROWING INDIAN PIONEER

With many prestigious deployments worldwide, Videonetics leverages its leading-edge

technology to power video surveillance systems, reducing costs and improving

performance for customers. Our enterprise-class integrated visual computing platform

offers the flexibility to scale-up, and being modular, allows vertical-specific plug-in

applications. We can also help customers with project requirement analysis, site survey,

resource identification, performance benchmarking and customised training, to ensure

optimum results from system investment.

VIDEONETICS TECHNOLOGY PRIVATE LIMITED

Corporate OfficePlot 5, Block BP, Sector V, Salt Lake City, Kolkata 700 091, India T: +91 33 6461 0300 F: +91 98837 11330

Gurgaon OfficeInhwa Business Centre, Ground Floor, Iris TechPark, Sector 48, Sohna Road, Gurgaon 122 001, India T: +91 124 4930761 Extn: 26114

E: info@videonetics.com

www.videonetics.com

Video Management

System

Intelligent Video

Analytics

ANPR & RedLight Violation

Detection

Face Detection & Recognition

Mobile Surveillance

System

Video Précis

Retail Business

Intelligence Suite

Videonetics Visual Computing

Platform

SUCCESSFUL EXPERIENCE OF LARGE DEPLOYMENTS ACROSS DIVERSE SECTORS

Here are a few of our 200+ installations:

INDIA: Airports Authority of India (73 airports – 59 operational & 14 under deployment) Alipore City Surveillance,

Kolkata Allahabad City Surveillance Anna Central Library, Chennai Bhubaneswar City Surveillance Centaur Hotel,

New Delhi Container Corporation of India (4 depots) ECL Mines, Bokaro, Jharkhand Exide Industries, Haldia

HIDCO, Kolkata Infinity Think Tank Technology Park, Kolkata ITC Factory, Munger Lal Bahadur Shastri National

Academy of Administration, Mussoorie Nabadiganta Industrial Township, Kolkata Red Light Violation Detection

Project, Kochi, Kozhikode & Thiruvananthapuram Welspun, Gujarat

INTERNATIONAL: Capital Plaza Mall, Abu Dhabi General Secretariat of Supreme Council for Planning & Development, Govt of Kuwait

Kreitzer Home, Arizona, USA Kuwait Financial Hub Mushriff Mall, Abu Dhabi Next Level Security Systems, USA

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Other solutions

Videonetics offers a number of traffic analytics applications that can be integrated with ANPR, VEEM or RLVD system

as a pluggable module. The list of applications includes:

Suspected Vehicle Detection (SVD) Wrong-way Movement Detection (WWMD)

Sudden Congestion Detection (SCD) Vehicle Count or Traffic Volume Estimation (TVE)

Parking Zone Violation (PZV) Integration with axle-based vehicle type classification system etc.

Virtual Loop (V-Loop) for vehicle presence detection

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