Short Project Description: Automatic detection of vehicles violating traffic rules along with vehicle monitoring using Tensorflow Object Detection API.
You may have seen numerous cameras installed across the city. But currently these cameras are being manually operated by traffic officials. This is very much inefficient in terms of manpower used and also the number of traffic rule violators caught.
To solve this problem we propose this automatic traffic rule violation detector. Our system uses neural network developed with Tensorflow Object Detection API to automatically detect vehicles. These vehicles are then passed to another model which detects traffic rule violation such as not wearing helmets. These vehicles are then passed through another model which recognises the number plate and stores them in the database for further action.
This model can also be used for vehicle monitoring where each vehicle spotted in camera are being stored in the database. This can be used to track lost vehicles or suspicious vehicles.
This would greatly decrease the number of traffic violations thereby increasing public safety. Overall revenue generated also would increase drastically through this approach.
🔦 Any other specific thing you want to highlight?
This model can be further implemented for more violations detection such as
Detecting fancy number plates
Vehicle on Zebra Crossing
Vehicles in No Parking Zone
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🔥 Your Pitch
You may have seen numerous cameras installed across the city. But currently these cameras are being manually operated by traffic officials. This is very much inefficient in terms of manpower used and also the number of traffic rule violators caught. To solve this problem we propose this automatic traffic rule violation detector. Our system uses neural network developed with Tensorflow Object Detection API to automatically detect vehicles. These vehicles are then passed to another model which detects traffic rule violation such as not wearing helmets. These vehicles are then passed through another model which recognises the number plate and stores them in the database for further action. This model can also be used for vehicle monitoring where each vehicle spotted in camera are being stored in the database. This can be used to track lost vehicles or suspicious vehicles. This would greatly decrease the number of traffic violations thereby increasing public safety. Overall revenue generated also would increase drastically through this approach.
🔦 Any other specific thing you want to highlight?
This model can be further implemented for more violations detection such as
✅ Checklist
Before you post the issue: