Automated vigilance assistance system with crime detection for upcoming smart cities

1. Automated Vigilance Assistance System
with Crime Detection for Upcoming Smart
Cities
Aayoush Sharma
Nitin Singh
Raghav Angra
Sameer Shah
Mr Khalique Ahmed

2. Road Crimes
• Road crashes should be treated as a strategic issue for a
country’s public health & safety.
• Global stats reveal, Road accidents kills more than 1.2 million
people every year and injures 50 million people.
• 90% of the world’s fatalities occurs in low and middle income
countries which lack health and rescue services.
• In 2016, India recorded a death every 4 minute and an injury
in every minute.**
** Stats from Accident Data Analysis Centre under the National Automotive
Testing and R&D Infrastructure Project (NATRiP) in INDIA

3. Current Accident Prevention
Technologies
• Adaptive Cruise Control
• Adaptive Headlights
• Blind Spot Detection
• Front Crash Prevention System
• Lane Shifting and Warning System
• Parking Assistance System
In spite of these Technologies, there is an increase
in number of accidents and deaths.

4. Hit and Run
Hit-and-run is the act of causing (or contributing to) a traffic crash
(such as colliding with a person or a fixture), without stopping
afterwards. It is considered a crime in most jurisdictions.
Punishment for Hit & Run cases in different countries
• Australia = License suspension
• Canada = 10 years imprisonment
• China = 3 - 7 years imprisonment
• Germany = 3 years imprisonment
• South Korea = Death Penalty
• United States of America = High fines
In most of the Hit & Run cases, the victim is left unattended and if
accident occurs in remote areas, there is delay in health and rescue
services.

5. Road Crime Statistics and Case Study
Statistics from Road accdents
report by Federal Highway
Research Institute (BASt)
Germany

6. Mode of Intelligent Traffic Surveillance System
(RFID Technology)
Traffic Flow Prediction Mechanism based on a Fuzzy Neural
Network Model.
• RFID Chips are installed
on each vehicle
• RFID Signal is sent to the
nearest RFID Reader
• RFID Reader collects the
data and sends it to the server via Internet.

7. Proposed AVAS Concept

8. Basic Structure
• The entire road network including the traffic signals are
approximated in the form of a GRID.
• The system integrates the road network and GPS map
data to create a strong mesh which makes it responsive in
real-time.
• RFID Chips are installed on each vehicle which transmits
essential data to the traffic light module.
• Every such traffic light module is connected to Control
Room which houses intelligent traffic management
systems.
• Aid of GPS is also taken along with RFID grid which gives
real-time data and location about a particular driver.

9. Data Transmitted through RFID
Module
The following data is sent in the form of a
Registering Signal
• Vehicle Identification Number
• Vehicle Registration Plate Number
• Engine Number
• Speed of the Vehicle
• Fuel Level in the Vehicle

10. Specification of RFID Module

11. Experimental Analysis
• The Automatic Vigilance Assistance System (AVAS) was
tested on Arduino platform with RFID and GPS modules
attached to it.
• Trials were taken on a Cycle with the module to test the
accuracy of the system in real-time.
• 2 Trials were conducted in
Bangalore, INDIA = Sir MVIT to BSF Campus (7.9 Km)
Melbourne, AUSTRALIA = RMIT to Bay Trail (7.9 Km)
• Traffic Modules were placed at traffic signals.
• Readings were recorded and analysed in AVAS-TSS (an
indigenously developed software) and final deduction of
data was done.

12. NEO-6M GPS Positioning Module
A NEO-6M GPS module is interfaced with the vehicle’s
ECU along with RFID chip.

13. Cycle Module Prototype
Instead of a vehicle, the prototype module was
tested on a Cycle to record its accuracy.

14. RFID Reader Circuit
A RC-522 RFID Reader was interfaced with Arduino
and placed on traffic signals.

15. Control center

16. Functioning of Prototype
• The prototype circuit was placed on the Cycle and trials
were conducted daily to record the positioning and
tracking of the vehicle.
• The tracking was done via traffic modules. When the
cycle passes besides the module, important data such
as VIN, Speed etc. are transmitted through radio
signals. These signals are received by traffic modules
and data is sent to the control centre.
• The control centre monitors the location and activity of
the vehicle and can track or intercept it anytime by
means of the local authority.

17. Simulation Results (INDIA) from the
Traffic Simulator Software (AVAS-TSS)

18. Simulation Results (AUSTRALIA) from the
Traffic Simulator Software (AVAS-TSS)

19. Test Results Conducted in Melbourne

20. Results
• Based on the above experiment, the AVAS -TSS produced the
above output based on the programmed algorithms and the
input feed
• The instantaneous location of Vehicle was recorded along with
time and the data through the registering signal was transmitted
to the traffic module.
• Data was collected by Traffic modules and was sent to the
Control Centre based at the local Traffic Police Authority.
• The location of the vehicle was monitored with respect to time.
• The system was able to successfully track and monitor the
vehicle and any type of vigilance operations can be strategically
initiated without much input resources such as large number of
policemen, police vehicles etc.

21. Advantages of AVAS
The following are the advantages of AVAS
• It helps in locating and tracking any particular vehicle.
• It can be used by Military and Government
organizations to monitor shipment of certain goods.
• It can be used by Intelligence agencies to carry out
their operations.
• It can be used to chase down any running fugitive.
• It can be developed on any microcontroller platform

22. THANK YOU