Description:Provisional
The idea is to have floating cameras without any fixed location, as the positions
are randomly changing every moment no one is aware if they are under
surveillance or not. Also, the floating camera system will work without any human
interventions using different Artificial Intelligence (AI) models.
Complete
The solution uses cameras of mobile phones, dash-cams, helmet cameras of
motorcyclists & bicycle riders (action cameras), and inbuilt front cameras of
vehicles. These cameras are connected either to the mobile phone or to the
cloud-connected head unit of the vehicle. The entire system is driven by software,
and it does not require any change in the existing hardware or software of the
stock vehicles. The entire system will have two layers of software with their
respective artificial intelligence models supporting them.
Layer 1
The layer 1 of the system is built as a smartphone application or an application for
the dash-cam, head unit. This will continuously scan the traffic on the road using a
sliding window mechanism. In case of any traffic violation, the AI system based on
the proprietary Convolution Neural Network (CNN) model will identify the
defaulters on the road. The identification AI model is explicitly learned for
different road violations like over-speeding, dangerous driving, inappropriate
parking, lane discipline, etc. The moment system identifies a defaulter, it will
communicate with layer 2 for further processing.
Layer 2
The layer 2 is responsible for fetching the identity of the defaulter based on
Optical Character Recognition (OCR) AI model. The OCR model will automatically
get the vehicle’s registration number from the clip shared by the camera. This
system makes sure that it interfaces with the Parivahan database to fetch the
defaulter’s details based on the vehicle registration number. This system will be
responsible for generating a ticket (challan) and sending it to the owner of the vehicle who has violated the traffic rule. This system also takes care of rewarding the volunteer when the fine is paid by the defaulter.
, C , Claims:Claims
1. Safer roads – The system will create an environment of vigilant, “always
active” and scientifically enforced system. It will help save thousands of lives by
streamlining the traffic and reducing road accidents.
2. Mental peace of driving – People will know that the traffic violators will not go
unnoticed and they will be penalized, it will give them the peace of mind that the
justice will be done, hence they will be at a better mental state and avoid
involving and confrontations. It will significantly reduce the cases of road rage
3. Helping the environment – A better traffic flow will guarantee that the
vehicles are not stuck on the road for very long. As a result, a reduction in CO2
emission
4. Impartial and transparent system – Tickets are raised based on the AI
models without human intervention and it will not differentiate between anyone
and maintain the transparency of the process
5. Increase in revenue – The number of tickets (challans) raised will go up
significantly and that will be directly proportional to fine collected from the
violators
6. No additional cost – With the implementation of IFTS, no extra cost of
additional manpower or expensive installation and maintenance of CCTV cameras
will inccur