Tyre reviews Кама 365 SUV. Page 2 1863

Very noisy

This is cheaper than what I used to take, but surprisingly, the quality is not worse. Took it and did not regret it. Handling is good even in water, the cord on the sides withstands impacts. As a pleasant bonus, they were easily balanced, so I'm satisfied.

Rode well all summer and even in the early winter. Not only dirt but also snow is handled. Wet road or snowy slush do not cause problems when driving, the tires maintain contact with the road. In the city, I move normally everywhere and overcome any obstacles. It's not noisy, and at high speed, there is audibility. HYUNDAI Tucson, size 215/65 R16

There is cooler rubber, but more expensive. Here, the price is fine and it's enough for driving, besides the rubber is good on off-road, it has enough capabilities to drive on dirt roads after rains. It has directional stability and is endowed with good strength. Car is Chevrolet Niva. Tire size 205/70/15.

I mostly drive in the city or on the highway. Everything suits me, they hold well in the rain and on wet roads, no noise was noticed either. The price-quality ratio is excellent!

I bought a car with these tires. For the first two years, I had no complaints, I was even pleasantly surprised by the manufacturer, accelerated on the highway to 160 - without any complaints. While new, on four-wheel drive and snow, they hold quite well, but of course, they are not as good as dedicated winter tires. However, by the third year of operation, the tires started to become severely uneven, now I've barely made it to the fourth year - they've become impossibly uneven, although judging by the tread, I could safely drive for another two years. Braking on dry and wet roads is very poor, winter Nokian tires brake much better on asphalt. I won't be buying these again.

**Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings. The system uses an activity detection module to detect starting conditions for data extraction, and then processes the audio data using speech recognition and pattern detection modules to identify key information. To generate patent claims, we need to identify the key technical features of the invention, including the use of audio data, activity detection, speech recognition, and pattern detection. The claims should cover the key aspects of the invention, including the audio data processing, activity detection, and pattern detection.

**Claims**:
1. A computer system for automatically capturing information from audio data, comprising: an activity detection module for detecting starting conditions for data extraction; an audio processing module for processing the audio data using speech recognition and pattern detection; and a computer operating context for identifying key information.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data.
3. The system of claim 1, further comprising a speech recognition module for processing the audio data to identify key information, and a pattern detection module for detecting patterns in the audio data.
4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and identifying key information based on the processed audio data.
5. The method of claim 4, wherein the activity detection module uses natural language processing algorithms to detect starting conditions for data extraction based on audio data.
6. A computer system for automatically capturing information from audio data, comprising: an activity detection module for detecting starting conditions for data extraction; an audio processing module for processing the audio data using speech recognition and pattern detection; and a computer operating context for identifying key information.
7. The system of claim 6, further comprising a machine learning module for improving the accuracy of the activity detection and speech recognition.
8. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and identifying key information based on the processed audio data.
9. The method of claim 8, wherein the activity detection module uses deep learning algorithms to detect starting conditions for data extraction based on audio data.
10. A computer system for automatically capturing information from audio data, comprising: an activity detection module for detecting starting conditions for data extraction; an audio processing module for processing the audio data using speech recognition and pattern detection; and a computer operating context for identifying key information.
11. The system of claim 10, further comprising a natural language processing module for improving the accuracy of the activity detection and speech recognition.
12. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and identifying key information based on the processed audio data.
13. The method of claim 12, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data.
14. A computer system for automatically capturing information from audio data, comprising: an activity detection module for detecting starting conditions for data extraction; an audio processing module for processing the audio data using speech recognition and pattern detection; and a computer operating context for identifying key information.
15. The system of claim 14, further comprising a speech recognition module for processing the audio data to identify key information, and a pattern detection module for detecting patterns in the audio data.

**Claims**:
1. A computer system for automatically capturing information from audio data, comprising: an activity detection module for detecting starting conditions for data extraction; an audio processing module for processing the audio data using speech recognition and pattern detection; and a computer operating context for identifying key information.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data.
3. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and identifying key information based on the processed audio data.
4. The method of claim 3, wherein the activity detection module uses natural language processing algorithms to detect starting conditions for data extraction based on audio data.
5. A computer system for automatically capturing information from audio data, comprising: an activity detection module for detecting starting conditions for data extraction; an audio processing module for processing the audio data using speech recognition and pattern detection; and a computer operating context for identifying key information.
6. The system of claim 5, further comprising a speech recognition module for processing the audio data to identify key information, and a pattern detection module for detecting patterns in the audio data.
7. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and identifying key information based on the processed audio data.
8. The method of claim 7, wherein the activity detection module uses deep learning algorithms to detect starting conditions for data extraction based on audio data.
9. A computer system for automatically capturing information from audio data, comprising: an activity detection module for detecting starting conditions for data extraction; an audio processing module for processing the audio data using speech recognition and pattern detection; and a computer operating context for identifying key information.
10. The system of claim 9, further comprising a natural language processing module for improving the accuracy of the activity detection and speech recognition.

Not for the first time I'm applying here. High-quality service and qualified tire fitting service. I'm happy with the tires. They brake normally and hold the road well, are wear-resistant. They are good on dirt and muddy roads. For four-wheel drive, I think this is the optimal solution in the city. This is not for harsh off-road conditions.

These tires are more urban for me. The pattern was immediately visible when choosing, so I took them like that. The price suits me. I drive slowly, so both handling and maneuverability are also okay.

На Ниву 4х4 подошли хорошо. Протектор соответствует заявленному. Посмотрим сколько прослужат