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    Главная Каталог Шины Compasal Citiwalker

    Compasal Citiwalker

    Compasal
    • Происхождение: Китай
    • Легковые шины Compasal
    • Грузовые шины Compasal
    28 отзывов
    • Compasal Citiwalker Увеличить
      Compasal Citiwalker
    • Compasal Citiwalker Увеличить
      Compasal Citiwalker
    • Compasal Citiwalker Увеличить
      Compasal Citiwalker
    • Compasal Citiwalker
    • Compasal Citiwalker
    • Compasal Citiwalker
    от 5 540 ₽
    Производитель
    Compasal (Китай)
    Тип автомобиля
    Внедорожники и SUV
    Сезонность
    Летние
    В продаже с
    2019 г.
    Класс шин
    E
    Расход топлива
    D...D
    Управляемость
    C...C
    Шумность
    71...75

    Описание Compasal Citiwalker

    夏季轮胎Compasal Citiwalker专为跨界车和越野车设计。在沥青道路上表现出最佳效果,代表着高地形类别的轮胎模式。

    胎面采用定向设计,具有非对称的元素排列。其关键特点是分为几个功能区。宽大的肩部区域具有横向展开的块状结构,在转弯和减速时提供稳定性。与其相邻的两条凸缘提高了行驶稳定性,并促进了侧向加速度力在方向盘上的快速和准确传递,使驾驶更容易。中央部分的块状结构提供了高水平的牵引力。

    Compasal Citiwalker的主要特点

    - 非对称的胎面图案提供了平衡性和在最复杂的道路条件下的自信性;
    - 增大的排水槽尺寸和数量降低了水漂的风险;
    - 由于大量的横向抓地边缘,在湿润的路面上具有优秀的牵引力和制动效率。

    Показать всё описание
    • Размеры в наличии 16
    • Нет в наличии 24
    • Отзывы 28

    В наличии и на заказ 16

    ДиаметрМодельРазмерСезонНаличиеЦена
    R16Compasal Citiwalker 215/70 R16 100H 215/70 R16 100H 6 000 ₽
    Compasal Citiwalker 225/70 R16 103H 225/70 R16 103H 7 360 ₽
    Compasal Citiwalker 235/70 R16 106H 235/70 R16 106H 6 490 ₽
    Compasal Citiwalker 275/70 R16 114H 275/70 R16 114H 6 870 ₽
    R17Compasal Citiwalker 215/65 R17 99H 215/65 R17 99H 5 950 ₽
    Compasal Citiwalker 225/60 R17 99H 225/60 R17 99H 5 830 ₽
    Compasal Citiwalker 225/65 R17 102H 225/65 R17 102H -17%7 310 ₽
    Compasal Citiwalker 235/65 R17 104H 235/65 R17 104H 6 240 ₽
    Compasal Citiwalker 265/65 R17 112H 265/65 R17 112H 9 280 ₽
    R18Compasal Citiwalker 225/60 R18 104H XL225/60 R18 104H XL7 020 ₽
    Compasal Citiwalker 235/65 R18 110H XL235/65 R18 110H XL7 020 ₽
    Compasal Citiwalker 245/60 R18 105H 245/60 R18 105H 7 420 ₽
    Compasal Citiwalker 255/60 R18 112H XL255/60 R18 112H XL9 670 ₽
    Compasal Citiwalker 265/60 R18 114H XL265/60 R18 114H XL8 140 ₽
    R20Compasal Citiwalker 255/50 R20 109V XL255/50 R20 109V XL9 120 ₽
    Compasal Citiwalker 275/55 R20 117V XL275/55 R20 117V XL5 850 ₽

    Нет в наличии 24

    ДиаметрМодельРазмерСезон
    R16Compasal Citiwalker 245/70 R16 111H 245/70 R16 111H
    нет в наличии
    Compasal Citiwalker 245/70 R16 107H 245/70 R16 107H
    нет в наличии
    Compasal Citiwalker 255/65 R16 109H 255/65 R16 109H
    нет в наличии
    Compasal Citiwalker 255/70 R16 111H 255/70 R16 111H
    нет в наличии
    Compasal Citiwalker 265/70 R16 112H 265/70 R16 112H
    нет в наличии
    R17Compasal Citiwalker 215/60 R17 96H 215/60 R17 96H
    нет в наличии
    Compasal Citiwalker 225/70 R17 107H 225/70 R17 107H
    нет в наличии
    Compasal Citiwalker 235/60 R17 106H 235/60 R17 106H
    нет в наличии
    Compasal Citiwalker 235/60 R17 102H 235/60 R17 102H
    нет в наличии
    Compasal Citiwalker 245/65 R17 111H XL245/65 R17 111H XL
    нет в наличии
    Compasal Citiwalker 245/65 R17 107H 245/65 R17 107H
    нет в наличии
    Compasal Citiwalker 255/65 R17 110H 255/65 R17 110H
    нет в наличии
    Compasal Citiwalker 265/70 R17 115H 265/70 R17 115H
    нет в наличии
    Compasal Citiwalker 275/65 R17 115H 275/65 R17 115H
    нет в наличии
    Compasal Citiwalker 285/65 R17 116H 285/65 R17 116H
    нет в наличии
    R18Compasal Citiwalker 225/55 R18 98H 225/55 R18 98H
    нет в наличии
    Compasal Citiwalker 225/60 R18 100H 225/60 R18 100H
    нет в наличии
    Compasal Citiwalker 235/55 R18 104H XL235/55 R18 104H XL
    нет в наличии
    Compasal Citiwalker 255/70 R18 113H 255/70 R18 113H
    нет в наличии
    Compasal Citiwalker 265/70 R18 116H 265/70 R18 116H
    нет в наличии
    Compasal Citiwalker 275/65 R18 116H 275/65 R18 116H
    нет в наличии
    Compasal Citiwalker 285/60 R18 120H XL285/60 R18 120H XL
    нет в наличии
    R20Compasal Citiwalker 265/50 R20 111V XL265/50 R20 111V XL
    нет в наличии
    Compasal Citiwalker 285/50 R20 116V XL285/50 R20 116V XL
    нет в наличии

    Отзывы 28

    Написать отзыв
    Рекомендуют 100%
    4.71 из 5
    25 отзывов
    1
    0%
    2
    0%
    3
    0%
    4
    24%
    5
    76%
    • Вадим о шине Compasal Citiwalker

      Оценка
      5

      為了公路行駛的輪胎非常好,噪音也很小,平衡性也很好。完全符合我的需求,没有發現任何不滿的地方。推薦購買。

      Автомобиль:
      Toyota Land Cruiser 100 GX
      Купите опять?:
      Скорее всего
      Управление на сухой дороге
      Управление на мокрой дороге
      Комфорт при движении
      Курсовая устойчивость
      Бесшумность в движении
      Эффективность торможения
      Стойкость к аквапланированию
      Скоростные характеристики
      Износоустойчивость
      Качество изготовления
      Оправданность цены
      22 апреля 2023
    • Владимир о шине Compasal Citiwalker

      Товар куплен в Мосавтошине
      Оценка
      5

      一切都很棒...

      Размер:
      235/70 R16 106H
      Оценка
      18 июля 2024
    • Денис о шине Compasal Citiwalker

      Товар куплен в Мосавтошине
      Оценка
      4.9

      **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 salient patterns. The system provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information. To generate patent claims, we need to identify the key technical features of the invention and ensure that the claims are clear, concise, and consistent with the patent draft.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      2. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection.

      3. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; and an activity detection module to detect starting conditions for data extraction.

      4. The system of claim 3, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      5. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction; process audio data using speech recognition and pattern detection modules; and provide the extracted text and salient patterns to a note-taking application.

      6. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns.

      7. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      8. The system of claim 7, wherein the speech recognition module processes the audio data using speech recognition and pattern detection modules to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application.

      9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      10. The method of claim 9, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      11. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, and provide the extracted text and salient patterns to a note-taking application.

      12. The system of claim 11, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      13. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      14. The method of claim 13, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      15. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      2. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection.

      3. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      4. The system of claim 3, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      5. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      6. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns.

      7. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      8. The system of claim 7, wherein the speech recognition module processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      10. The method of claim 9, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      11. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, and provide the extracted text and salient patterns to a note-taking application.

      12. The system of claim 11, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      13. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      14. The method of claim 13, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      15. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      2. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection.

      3. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      4. The system of claim 3, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      5. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      6. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns.

      7. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      8. The system of claim 7, wherein the speech recognition module processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      10. The method of claim 9, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      11. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, and provide the extracted text and salient patterns to a note-taking application.

      12. The system of claim 11, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      13. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      14. The method of claim 13, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      15. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      2. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection.

      3. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      4. The system of claim 3, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      5. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      6. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns.

      7. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      8. The system of claim 7, wherein the speech recognition module processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      10. The method of claim 9, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      11. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, and provide the extracted text and salient patterns to a note-taking application.

      12. The system of claim 11, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      13. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      14. The method of claim 13, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      15. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      2. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection.

      3. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      4. The system of claim 3, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      5. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      6. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns.

      7. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      8. The system of claim 7, wherein the speech recognition module processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      10. The method of claim 9, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      11. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, and provide the extracted text and salient patterns to a note-taking application.

      12. The system of claim 11, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      13. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      14. The method of claim 13, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      15. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      2. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection.

      3. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      4. The system of claim 3, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      5. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      6. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns.

      7. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      8. The system of claim 7, wherein the speech recognition module processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      10. The method of claim 9, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      11. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, and provide the extracted text and salient patterns to a note-taking application.

      12. The system of claim 11, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      13. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      14. The method of claim 13, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      15. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      2. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection.

      3. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      4. The system of claim 3, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      5. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      6. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns.

      7. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      8. The system of claim 7, wherein the speech recognition module processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      10. The method of claim 9, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      11. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, and provide the extracted text and salient patterns to a note-taking application.

      12. The system of claim 11, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      13. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      14. The method of claim 13, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      15. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      Автомобиль:
      Hyundai ix35
      Размер:
      225/60 R17 99H
      Купите опять?:
      Скорее всего
      Город:
      Москва
      Управление на сухой дороге
      Управление на мокрой дороге
      Комфорт при движении
      Курсовая устойчивость
      Бесшумность в движении
      Эффективность торможения
      Стойкость к аквапланированию
      Скоростные характеристики
      Износоустойчивость
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      Оправданность цены
      26 июля 2024
    • Мария о шине Compasal Citiwalker

      Товар куплен в Мосавтошине
      Оценка
      5

      非常好的轮胎,及时到货。

      Размер:
      225/65 R17 102H
      Оценка
      13 августа 2024
    • Николай о шине Compasal Citiwalker

      Товар куплен в Мосавтошине
      Оценка
      5

      好 nghiệp

      Размер:
      235/70 R16 106H
      Оценка
      19 августа 2024
    • Илья о шине Compasal Citiwalker

      Оценка
      2.7

      一个月前购买。R18。
      平衡正常。
      噪音大。2周后开始振动,检查了平衡,正常。
      抓地力不佳。
      中国制造的垃圾,可能小尺寸的还可以。
      准备出售。

      Автомобиль:
      Mercedes G-Class (W463)
      Купите опять?:
      Точно нет
      Управление на сухой дороге
      Управление на мокрой дороге
      Комфорт при движении
      Курсовая устойчивость
      Бесшумность в движении
      Эффективность торможения
      Стойкость к аквапланированию
      Скоростные характеристики
      Износоустойчивость
      Качество изготовления
      Оправданность цены
      30 мая 2025
    • Алексей о шине Compasal Citiwalker

      Товар куплен в Мосавтошине
      Оценка
      5

      提前於預定時間到貨,還沒裝上。

      Размер:
      225/60 R17 99H
      Оценка
      06 мая 2024
    • Отзыв о шине Compasal Citiwalker

      Оценка
      5

      輪胎抓地力不錯,只是有一點噪音(,其他方面都還可以

      Размер:
      225/60 R17 99H
      Оценка
      10 сентября 2024
    • Алексей о шине Compasal Citiwalker

      Товар куплен в Мосавтошине
      Оценка
      4.6

      超出想象的价值!

      Автомобиль:
      Nissan X-Trail
      Размер:
      225/60 R18 104H XL
      Купите опять?:
      Скорее всего
      Город:
      Москва
      Управление на сухой дороге
      Управление на мокрой дороге
      Курсовая устойчивость
      Комфорт при движении
      Бесшумность в движении
      Эффективность торможения
      Стойкость к аквапланированию
      Скоростные характеристики
      Износоустойчивость
      Качество изготовления
      Оправданность цены
      16 августа 2025
    Посмотреть все 28 отзывов о Compasal Citiwalker
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