ANPR Detector

ANPR Detector

This project is based on ANPR technology which is implemented through python & its packages such as OpenCv & PyTesseract and also Raspberry pi/Arduino to provide smarter vehicle surveillance solution

Created on 5th March 2023

ANPR Detector

ANPR Detector

This project is based on ANPR technology which is implemented through python & its packages such as OpenCv & PyTesseract and also Raspberry pi/Arduino to provide smarter vehicle surveillance solution

The problem ANPR Detector solves

Added security as ANPR largely acts as a deterrent. The knowledge that their number plate is being recorded and checked is usually enough to stop criminal behaviour in advance. ANPR is also useful for the police, who can browse the data collected and check for suspicious vehicles, or vehicles that were involved in a crime.Thanks to the need to store the data for a short while, ANPR data can provide both alibis and incriminating data. ANPR also provides security on a lower level, such as open workplace parking where it can manage permit parking for staff vehicles, or recognise a vehicle that has previously been banned from your premises.ANPR offers an extra measure of security for both public and private use.

Automated service because ANPR cameras are an efficient and cost-effective way to monitor parking solutions. In car parks,
they negate the need for parking wardens. Thanks to their high-accuracy readings and 24/7 operation, they are more efficient
than most individuals and therefore provide a more dependable service. They also offer a confrontation-free parking solution,
which some have found to be beneficial when delivering fines to drivers. Parking management teams often find that both traffic personnel and ANPR cameras work well together, especially in traffic and parking enforcement, where staff can rely on ANPR to provide the necessary information, minimising the time they spend on the streets.

Real-time benefits since ANPR is beneficial to many industries thanks to the real-time imaging it offers. Historically, number plate recording would take time, and then longer still to send out penalty notices to those who violate traffic laws. With ANPR however, number plates can be recognised and checked against the database almost instantaneously. From this, it takes as little as 48 hours to issue a penalty notice. The fast nature of these cameras allows for an immediate response to criminal activity, making sure no unwanted behaviour

Challenges we ran into

To be honest we had both challenges as well as fun while working on this project but definitely there were some hurdles as we proceded further. followings are few challenges we faced:
1)Code Execution:Since the code is partially based on ML algorithm thus utilizes data as training so in few cases while reading/scaning the training data(Vehicle licenece plates samples) when we decided to apply the algorithm to the testing data
then several time IDE was crashing despite the correct syntax and semantic of code. But this was later correctified by replacing certain code blocks and our main IDE.
2)Dataset Source :In order to increase the accuracy of the program it was necessary to train data effectively thus more data was required as we searched for the same and combined from multiple resources as despite correct data number plates & other details were not clearly identified by the program but later it searched effectively.

Tracks Applied (1)

Open Innovation

As ANPR cameras allow the automatic detection of vehicle license plates and are increasingly used for law enforcement. H...Read More

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