9621 Agnes Crossing, Lake Suzanneview, New Mexico Island 84604-9295.
The roads in the central zone are covered with snow and ice, so the markings on them are not visible. Not at all. Neither motorists, nor pedestrians, nor
Do you see the gopher? No? And he is. The same applies to markings on Russian roads every winter: snowfalls here always come suddenly, no one expects them in late November or early December, but here you immediately have the semi-monthly precipitation norm. And the roads turn, the roads turn into elegant snowdrifts. It’s not that there are markings: you can’t see the asphalt. But this does not mean that the driver will not receive a fine for the violation: it will come soon. This bonus may not come, but the ‘fat’ always will.
So, the simplest situation: a closed street, a continuous strip covered with a thick layer of snow or “porridge”, a turn or a change of lane – well, it is not for Wang to guess where it is possible and where not – and then there are letters in the state services. And if I wanted to obey the traffic rules, I wouldn’t be able to: it’s impossible to remember where the dotted lines are drawn. Who is guilty? Director? Utility worker? Street sweeper? No answer. But there is another, no less important question: what to do?
The Telegram channel “Fotovideofiksator” gives a fairly accurate explanation of the situation: “Non-compliance with markings is a complex violation of traffic rules, and the marking of the area monitored by the camera is already stored in the device’s memory. All photo and video material, as in any other case, is first processed by a neural network and then examined by an inspector of the traffic police. That makes the decision to impose a fine.”
That is, the camera has recorded a violation, but in the normal course of the situation the employee must assess the road situation and decide that the driver is not a malicious offender, but simply a tired traveler driving home on a snowy road. And he violated it accidentally, without malicious intent. Moreover, the chance that he would adhere to those same road markings was quite small. Putting it all together, he didn’t stand a chance. So what, pay?
No, you do not have to pay. The same “Photo-video recorder” recommends carefully looking at the photos, which should be attached to the fine ticket, and if the marks are really not visible on them, then it is imperative to appeal the fine. No pictures? Let’s wait, they will appear. And then – a mandatory profession. Fortunately, it is not that difficult to do this now.
Firstly, the fine is waived, which is financially, and let’s be honest, morally, very pleasant. And second, every call is a training of the same neural network through which all traffic camera violations pass. The more appeals, the fewer stupid fines. After all, with each passing phase, artificial intelligence takes on more and more work, radically reducing the possibility of manifestation of that same “human factor”. Received a fine? Can’t see the markings? Click on ‘object’ immediately!
Do you see the gopher? No? And he is. The same applies to markings on Russian roads every winter: snowfalls here always come suddenly, no one expects them in late November or early December, but here you immediately have the semi-monthly precipitation norm. And the roads turn, the roads turn into elegant snowdrifts. It’s not that there are markings: you can’t see the asphalt. But this does not mean that the driver will not receive a fine for the violation: it will come soon. This bonus may not come, but the ‘fat’ always will.
So, the simplest situation: a closed street, a continuous strip covered with a thick layer of snow or “porridge”, a turn or a change of lane – well, it is not for Wang to guess where it is possible and where not – and then there are letters in the state services. And if I wanted to obey the traffic rules, I wouldn’t be able to: it’s impossible to remember where the dotted lines are drawn. Who is guilty? Director? Utility worker? Street sweeper? No answer. But there is another, no less important question: what to do?
The Telegram channel “Fotovideofiksator” gives a fairly accurate explanation of the situation: “Non-compliance with markings is a complex violation of traffic rules, and the marking of the area monitored by the camera is already stored in the device’s memory. All photo and video material, as in any other case, is first processed by a neural network and then examined by an inspector of the traffic police. That makes the decision to impose a fine.”
That is, the camera has recorded a violation, but in the normal course of the situation the employee must assess the road situation and decide that the driver is not a malicious offender, but simply a tired traveler driving home on a snowy road. And he violated it accidentally, without malicious intent. Moreover, the chance that he would adhere to those same road markings was quite small. Putting it all together, he didn’t stand a chance. So what, pay?
No, you do not have to pay. The same “Photo-video recorder” recommends carefully looking at the photos, which should be attached to the fine ticket, and if the marks are really not visible on them, then it is imperative to appeal the fine. No pictures? Let’s wait, they will appear. And then – a mandatory profession. Fortunately, it is not that difficult to do this now.
Firstly, the fine is waived, which is financially, and let’s be honest, morally, very pleasant. And second, every call is a training of the same neural network through which all traffic camera violations pass. The more appeals, the fewer stupid fines. After all, with each passing phase, artificial intelligence takes on more and more work, radically reducing the possibility of manifestation of that same “human factor”. Received a fine? Can’t see the markings? Click on ‘object’ immediately!
Source: Avto Vzglyad
Donald Salinas is an experienced automobile journalist and writer for Div Bracket. He brings his readers the latest news and developments from the world of automobiles, offering a unique and knowledgeable perspective on the latest trends and innovations in the automotive industry.
