Are AI Traffic Cameras Accurate? What Drivers Should Know

If you drive regularly, you may well have noticed more cameras popping up on highways and at busy intersections. However, you might not be aware that they are not your standard speed cameras. Instead, many now use artificial intelligence to detect unsafe driving behaviour in real time.

Given the rise of AI across all aspects of society, it was only a matter of time until it was used to monitor Australia’s roads. That said, some drivers have concerns about the reliability and accuracy of these systems. Here’s what they should know.

What Are AI Traffic Cameras?

AI traffic cameras are advanced, high-resolution surveillance systems that are powered by machine learning. They have been developed to monitor traffic flow and identify driving infractions as they happen.

Unlike traditional cameras, they can do things like determine if people are:

• Using their mobile phone whilst driving
• Speeding through fixed or mobile detection points
• Running red lights at intersections
• Not wearing their seatbelt properly
• Driving erratically
• Tailgaiting
• Driving with an unrestrained animal (such as a dog)

They operate 24/7, in all weather conditions, to boost safety on Australian roads and automate traffic enforcement.

How Do AI Traffic Cameras Work?

AI traffic cameras work differently from other cameras you might see on the road. That’s because instead of simply capturing an image when a car speeds past it, they analyse driver behaviour.

The high-resolution cameras they use are integrated with machine-learning software. These systems scan each passing vehicle to look for patterns relating to things like hand movements, seatbelt positioning, and how fast people are driving.

In other words, it is no longer just about how fast you are going. But rather how you are driving.

How Accurate Are AI Traffic Cameras?

Some people harbour concerns about how accurate AI traffic cameras really are. Well, generally speaking, they are regarded as being very precise by most experts within the manufacturing industry.

These systems are trained using millions of data points. They help them to recognise behaviour patterns with a strong level of consistency. That said, factors like lighting, weather, and traffic flow can all affect the quality of the image. Although the technology has improved markedly to handle these variables. As a consequence, these cameras capture clear images both during the day and at night.

It’s worth noting that even with this level of accuracy, the system does not operate on its own. Instead, when a potential offence is detected, it is flagged for human review.

You should also be aware that false positives can occur from AI traffic cameras in rare cases. This might happen, for instance, if an object is mistaken for a phone or if an image is unclear. Notwithstanding, these situations are typically picked up during the review process.

If you ever feel you have been unjustly accused of doing any wrongdoing on the roads or unfairly punished, you do have the option to challenge an AI traffic camera fine.

How Is AI Traffic Camera Evidence Reviewed and Verified

Contrary to what some people believe, once the AI system flags a potential offence, the image does not automatically result in a fine. Instead, it goes through a verification process by trained staff.

These reviewers assess the image to confirm whether a motoring offence has actually occurred. When doing this, they look at as many different angles and frames as they have available. This helps them make a careful decision based on the evidence they have.

Traffic camera fines in Australia are issued based on this combination of AI detection and human judgment. The goal of the authorities is to enforce driving laws as fairly and accurately as possible.

Crucially, this process serves as a safeguard for drivers by helping filter out cases in which the AI may have misread a situation.

Are AI Traffic Cameras Improving Road Safety?

There is growing evidence that AI road safety systems are making a notable difference to how safe people are on the road. Essentially, by targeting high-risk behaviours, these cameras help reduce accidents and incidents of distracted driving and improve compliance with road rules.

One of the biggest improvements has been a drop in improper seatbelt wearing. For instance, in NSW, high-tech AI-powered detection cameras show that 99% of motorists are wearing their seat belts properly. Of the 1% who were caught and fined, most were found wearing the belt twisted, positioned under their arm, or using a single seatbelt for two people. The fact that they were caught by AI cameras, rather than individual police officers, is likely to be a deterrent in the future.

The same will most probably be the case for the 80% of people who were caught out and fined by automated cameras in 2024, for using a mobile phone while driving, not having their seatbelt on properly, or speeding. It’s very likely to be a case of once bitten, twice shy.

How to Avoid Getting Caught by AI Traffic Cameras

The simplest way to avoid being fined by AI traffic cameras is to follow the road rules. These cameras are designed to detect behaviours that put drivers and others at risk. Therefore:

• Keep your hands off your phone while driving.
• Always make sure your seatbelt is worn correctly.
• Stay within speed limits and pay attention at intersections.

It’s worth complying with these rules because failure to do so can result in hefty fines. For example, in NSW you’ll be hit with a $345 fine and three demerit points if you are caught driving more than 10km/h over the speed limit. In Queensland, you’ll have to pay $500 and receive three demerit points, while in Victoria its $407 and three points.

At the end of the day, AI traffic cameras are here to stay. So, it’s wise to do all you can to avoid being stung by them.