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Huawei obtains new patent for road rage detection methods



Huawei patent road rage detection

Huawei has recently issued a new patent for road rage detection methods. Ultimately, this will greatly improve the traffic scenarios on the roads and will prevent individuals from unnecessary distress.

According to the latest information, the Chinese tech maker has applied for a unique application. This newly-released Huawei patent is entitled “traffic distress and road rage detection methods”.

As the name suggests, the company will launch a system that can analyze the traffic distress of a driver. In other words, it will observe the driver’s behavior through multiple sensors and will alert the officials to avoid road rages.

Generally, road rages occur by the aggressive and violent behaviors of drivers. Often such matters create a huge fuss and jams which strains a lot of time and results in needless conflicts. Hence, the company is trying to develop a system that can halt these issues.

Huawei patent road rage detection

How will the new system work?

The input reveals some basic structures of the respective mechanism. Accordingly, the tech maker will deploy a variety of sensors in this detective system. For instance, an in-vehicle image sensor, an in-vehicle audio sensor, a vehicle data sensor, as well as a GPS data sensor.

Eventually, these elements will identify the internal scenarios of a vehicle. Besides, they will examine the driver’s thermal changes, expressions, posture, onboard diagnostic, and GPS aspects.

Further, these sensors will send the signals to the additional processors in the system. The processors will store the defined estimates of the driver in the memory. Ahead, the reported estimates verify the driver’s normal and abnormal behavior and produce an overall score.

The entire procedure will build over the machine learning and will give accurate details regarding the driver. As a result, traffic controllers will receive alerts on a driver’s abnormal behavior. We are looking forward to seeing how this concept will benefit users in the real world.


Yash is a graduate of computer science and followed his way into journalism, he is interested in various subjects related to technologies and politics. Yash likes to listen classical songs and has a huge library of classical mixes.