Montana 10.5x45 - Dalekohledy BRESSER - Bezplatný návod k obsluze
Najděte návod k zařízení zdarma Montana 10.5x45 BRESSER ve formátu PDF.
Pick your language and provide your email: we'll send you a specifically translated version.
| Typ produktu | Dalekohled |
| Značka | Bresser |
| Model | Montana 10,5x45 |
| Zvětšení | 10,5x |
| Průměr objektivu | 45 mm |
| Výstupní pupila | 4,3 mm |
| Pupilární vzdálenost | 56-74 mm |
| Zaostřování | Středové a dioptrické (pravé) |
| Zorné pole na 1000 m | 102 m |
| Materiál těla | Hliník a guma |
| Optická úprava | Vícevrstvá antireflexní úprava |
| Voděodolnost | Ano, plněno dusíkem |
| Rozměry (d x š x v) | 169 x 154 x 60 mm |
| Hmotnost | 780 g |
| Napájení | Žádné (optické) |
| Součástí příslušenství | Transportní popruh, pouzdro, sluneční clona, čisticí hadřík |
| Doporučené použití | Pozorování přírody, lov, sport |
| Údržba | Čistěte čočky měkkým suchým hadříkem, vyhněte se rozpouštědlům |
| Bezpečnostní pokyny | Nikdy se nedívejte dalekohledem přímo do slunce |
Často kladené otázky - Montana 10.5x45 BRESSER
Jak nastavit zaostření na dalekohledu Bresser Montana 10,5x45?
Otáčejte středovým kolečkem zaostřování, dokud nezískáte ostrý obraz. Poté nastavte dioptrický kroužek (na pravém okuláru) pro kompenzaci rozdílů mezi vašima očima, přičemž nejprve zavřete pravé oko.
Jsou dalekohledy Montana vodotěsné?
Ano, jsou plněny dusíkem a chráněny proti zamlžení a vlhkosti, ale nejsou doporučeny pro dlouhodobé ponoření.
Jaké je zorné pole tohoto modelu?
Zorné pole je 102 metrů na 1000 metrů, což odpovídá přibližně 5,8 stupně.
Mohu používat dalekohled s brýlemi?
Ano, okuláry mají sklopné gumové očnice, které se přizpůsobí nositelům brýlí pro optimální pohodlí.
Jak čistit čočky, aniž byste je poškrábali?
Použijte vyfukovací kartáček k odstranění prachu, poté mikrovláknový hadřík. V případě potřeby mírně navlhčete destilovanou vodou. Vyhněte se jakýmkoli chemikáliím.
Jsou dalekohledy kompatibilní se stativem?
Ano, mají adaptér na stativ (standardní závit) našroubovaný na středové ose, což umožňuje stabilní upevnění.
Co dělat, když je obraz z jedné strany rozmazaný?
Může to být způsobeno špatným nastavením dioptrie nebo problémem s paralaxou. Nejprve zkontrolujte dioptrii, a pokud problém přetrvává, kontaktujte zákaznický servis.
Jaká je minimální vzdálenost zaostření?
Minimální vzdálenost je přibližně 3 metry, což umožňuje pozorovat blízké objekty.
Jsou dalekohledy Montana 10,5x45 vhodné pro astronomii?
Jsou vhodné pro příležitostné pozorování oblohy, ale jejich mírné zvětšení omezuje viditelnost měsíčních nebo planetárních detailů. Doporučuje se stativ.
Kde sehnat náhradní díly pro tyto dalekohledy?
Kontaktujte zákaznický servis Bresser prostřednictvím jejich webových stránek nebo autorizovaného prodejce. Díly jako krytky okuláru nebo popruh jsou k dispozici.
Dotazy uživatelů ohledně Montana 10.5x45 BRESSER
0 otázka o tomto zařízení. Odpovězte na ty, které znáte, nebo položte vlastní.
Položte novou otázku o tomto zařízení
Zatím žádné otázky. Buďte první, kdo se zeptá.
Stáhněte si návod pro váš Dalekohledy ve formátu PDF zdarma! Najděte svůj návod Montana 10.5x45 - BRESSER a vezměte svůj elektronický přístroj zpět do rukou. Na této stránce jsou zveřejněny všechny dokumenty potřebné k používání vašeho zařízení. Montana 10.5x45 značky BRESSER.
NÁVOD K OBSLUZE Montana 10.5x45 BRESSER
natural_image
Black-and-white collage of binoculars and a coastal beach under cloudy sky (no text or symbols visible)
bar
| Category | Value | |---|---| | Category 1 | 3 | | Category 2 | 4 | | Category 3 | 5 | | Category 4 | 6 | | Category 5 | 7 | | Category 6 | 8 | | Category 7 | 9 | | Category 8 | 10 | | Category 9 | 11 | | Category 10 | 12 | | Category 11 | 13 | | Category 12 | 14 | | Category 13 | 15 | | Category 14 | 16 | | Category 15 | 17 | | Category 16 | 18 | | Category 17 | 19 | | Category 18 | 20 | | Category 19 | 21 | | Category 20 | 22 | | Category 21 | 23 | | Category 22 | 24 | | Category 23 | 25 | | Category 24 | 26 | | Category 25 | 27 | | Category 26 | 28 | | Category 27 | 29 | | Category 28 | 30 | | Category 29 | 31 | | Category 30 | 32 | | Category 31 | 33 | | Category 32 | 34 | | Category 33 | 35 | | Category 34 | 36 | | Category 35 | 37 | | Category 36 | 38 | | Category 37 | 39 | | Category 38 | 40 | | Category 39 | 41 | | Category 40 | 42 | | Category 41 | 43 | | Category 42 | 44 | | Category 43 | 45 | | Category 44 | 46 | | Category 45 | 47 | | Category 46 | 48 | | Category 47 | 49 | | Category 48 | 50 | | Category 49 | 51 | | Category 50 | 52 | | Category 51 | 53 | | Category 52 | 54 | | Category 53 | 55 | | Category 54 | 56 | | Category 55 | 57 | | Category 56 | 58 | | Category 57 | 59 | | Category 58 | 60 | | Category 59 | 61 | | Category 60 | 62 | | Category 61 | 63 | | Category 62 | 64 | | Category 63 | 65 | | Category 64 | 66 | | Category 65 | 67 | | Category 66 | 68 | | Category 67 | 69 | | Category 68 | 70 | | Category 69 | 71 | | Category 70 | 72 | | Category 71 | 73 | | Category 72 | 74 | | Category 73 | 75 | | Category 74 | 76 | | Category 75 | 77 | | Category 76 | 78 | | Category 77 | 79 | | Category 78 | 80 | | Category 79 | 81 | | Category 80 | 82 | | Category 81 | 83 | | Category 82 | 84 | | Category 83 | 85 | | Category 84 | 86 | | Category 85 | 87 | | Category 86 | 88 | | Category 87 | 89 | | Category 88 | 90 | | Category 89 | 91 | | Category 90 | 92 | | Category 91 | 93 | | Category 92 | 94 | | Category 93 | 95 | | Category 94 | 96 | | Category 95 | 97 | | Category 96 | 98 | | Category 97 | 99 | | Category 98 | nan | | Total: (bar chart) = (sum of bars for each category). The 'Value' in the table represents the sum of all bars for each category. The 'Category' column is not explicitly labeled but corresponds to the total bar height. The 'Category' column contains the absolute sum of the bars. The 'Number of bars' is also displayed on the right side.
scatter
| X | Y | |---|---| | 0.1 | 0.9 | | 0.2 | 0.85 | | 0.3 | 0.8 | | 0.4 | 0.75 | | 0.5 | 0.7 | | 0.6 | 0.65 | | 0.7 | 0.6 | | 0.8 | 0.55 | | 0.9 | 0.5 | | 1.0 | 0.45 | | 1.1 | 0.4 | | 1.2 | 0.35 | | 1.3 | 0.3 | | 1.4 | 0.25 | | 1.5 | 0.2 | | 1.6 | 0.15 | | 1.7 | 0.1 | | 1.8 | 0.05 | | 1.9 | 0.0 | | 2.0 | -0.05 | | 2.1 | -0.1 | | 2.2 | -0.15 | | 2.3 | -0.2 | | 2.4 | -0.25 | | 2.5 | -0.3 | | 2.6 | -0.35 | | 2.7 | -0.4 | | 2.8 | -0.45 | | 2.9 | -0.5 | | 3.0 | -0.55 | | 3.1 | -0.6 | | 3.2 | -0.65 | | 3.3 | -0.7 | | 3.4 | -0.75 | | 3.5 | -0.8 | | 3.6 | -0.85 | | 3.7 | -0.9 | | 3.8 | -0.95 | | 3.9 | -1.0 | | 4.0 | -1.05 | | 4.1 | -1.1 | | 4.2 | -1.15 | | 4.3 | -1.2 | | 4.4 | -1.25 | | 4.5 | -1.3 | | 4.6 | -1.35 | | 4.7 | -1.4 | | 4.8 | -1.45 | | 4.9 | -1.5 | | 5.0 | -1.55 | | 5.1 | -1.6 | | 5.2 | -1.65 | | 5.3 | -1.7 | | 5.4 | -1.75 | | 5.5 | -1.8 | | 5.6 | -1.85 | | 5.7 | -1.9 | | 5.8 | -1.95 | | 5.9 | -2.0 | | 6.0 | -2.05 | | 6.1 | -2.1 | | 6.2 | -2.15 | | 6.3 | -2.2 | | 6.4 | -2.25 | | 6.5 | -2.3 | | 6.6 | -2.35 | | 6.7 | -2.4 | | 6.8 | -2.45 | | 6.9 | -2.5 | | 7.0 | -2.55 | | 7.1 | -2.6 | | 7.2 | -2.65 | | 7.3 | -2.7 | | 7.4 | -2.75 | | 7.5 | -2.8 | | 7.6 | -2.85 | | 7.7 | -2.9 | | 7.8 | -2.95 | | 7.9 | -3.0 | | 8.0 | -3.05 | | 8.1 | -3.1 | | 8.2 | -3.15 | | 8.3 | -3.2 | | 8.4 | -3.25 | | 8.5 | -3.3 | | 8.6 | -3.35 | | 8.7 | -3.4 | | 8.8 | -3.45 | | 8.9 | -3.5 | | 9.0 | -3.55 | | 9.1 | -3.6 | | 9.2 | -3.65 | | 9.3 | -3.7 | | 9.4 | -3.75 | | 9.5 | -3.8 | | 9.6 | -3.85 | | 9.7 | -3.9 | | 9.8 | -3.95 | | 9.9 | -4.0 | | Note: The actual values in the 'Y' column are not provided in the code image, so they are left blank in the image.
natural_image
Vertical black and white gradient bar with no text or symbols
bar
| Category | Value | |---|---| | Category 1 | 0.5 | | Category 2 | 0.6 | | Category 3 | 0.7 | | Category 4 | 0.8 | | Category 5 | 0.9 | | Category 6 | 1.0 | | Category 7 | 1.1 | | Category 8 | 1.2 | | Category 9 | 1.3 | | Category 10 | 1.4 | | Category 11 | 1.5 | | Category 12 | 1.6 | | Category 13 | 1.7 | | Category 14 | 1.8 | | Category 15 | 1.9 | | Category 16 | 2.0 | | Category 17 | 2.1 | | Category 18 | 2.2 | | Category 19 | 2.3 | | Category 20 | 2.4 | | Category 21 | 2.5 | | Category 22 | 2.6 | | Category 23 | 2.7 | | Category 24 | 2.8 | | Category 25 | 2.9 | | Category 26 | 3.0 | | Category 27 | 3.1 | | Category 28 | 3.2 | | Category 29 | 3.3 | | Category 30 | 3.4 | | Category 31 | 3.5 | | Category 32 | 3.6 | | Category 33 | 3.7 | | Category 34 | 3.8 | | Category 35 | 3.9 | | Category 36 | 4.0 | | Category 37 | 4.1 | | Category 38 | 4.2 | | Category 39 | 4.3 | | Category 40 | 4.4 | | Category 41 | 4.5 | | Category 42 | 4.6 | | Category 43 | 4.7 | | Category 44 | 4.8 | | Category 45 | 4.9 | | Category 46 | 5.0 | | Category 47 | 5.1 | | Category 48 | 5.2 | | Category 49 | 5.3 | | Category 50 | 5.4 | | Category 51 | 5.5 | | Category 52 | 5.6 | | Category 53 | 5.7 | | Category 54 | 5.8 | | Category 55 | 5.9 | | Category 56 | 6.0 | | Category 57 | 6.1 | | Category 58 | 6.2 | | Category 59 | 6.3 | | Category 60 | 6.4 | | Category 61 | 6.5 | | Category 62 | 6.6 | | Category 63 | 6.7 | | Category 64 | 6.8 | | Category 65 | 6.9 | | Category 66 | 7.0 | | Category 67 | 7.1 | | Category 68 | 7.2 | | Category 69 | 7.3 | | Category 70 | 7.4 | | Category 71 | 7.5 | | Category 72 | 7.6 | | Category 73 | 7.7 | | Category 74 | 7.8 | | Category 75 | 7.9 | | Category 76 | 8.0 | | Category 77 | 8.1 | | Category 78 | 8.2 | | Category 79 | 8.3 | | Category 80 | 8.4 | | Category 81 | 8.5 | | Category 82 | 8.6 | | Category 83 | 8.7 | | Category 84 | 8.8 | | Category 85 | 8.9 | | Category 86 | 9.0 | | Category 87 | 9.1 | | Category 88 | 9.2 | | Category 89 | 9.3 | | Category 90 | 9.4 | | Category 91 | 9.5 | | Category 92 | 9.6 | | Category 93 | 9.7 | | Category 94 | 9.8 | | Category 95 | 9.9 | | Category 96 | -0.1 | | Category 97 | -0.2 | | Category 98 | -0.3 | | Category 99 | -0.4 | | Total (Total) = [sum of bars for each category] / [bar chart height] × [bar chart width] × [bar chart height]
natural_image
Abstract pattern of black squares on white background with no text or symbols
bar
| Category | Value | |---|---| | Bar 1 | ■ | | Bar 2 | ■ | | Bar 3 | ■ | | Bar 4 | ■ | | Bar 5 | ■ | | Bar 6 | ■ | | Bar 7 | ■ | | Bar 8 | ■ | | Bar 9 | ■ |
scatter
| x | y | |---|---| | 0.1 | 0.2 | | 0.2 | 0.3 | | 0.3 | 0.4 | | 0.4 | 0.5 | | 0.5 | 0.6 | | 0.6 | 0.7 | | 0.7 | 0.8 | | 0.8 | 0.9 | | 0.9 | 1.0 | | 1.0 | 1.1 | | 1.1 | 1.2 | | 1.2 | 1.3 | | 1.3 | 1.4 | | 1.4 | 1.5 | | 1.5 | 1.6 | | 1.6 | 1.7 | | 1.7 | 1.8 | | 1.8 | 1.9 | | 1.9 | 2.0 | | 2.0 | 2.1 | | 2.1 | 2.2 | | 2.2 | 2.3 | | 2.3 | 2.4 | | 2.4 | 2.5 | | 2.5 | 2.6 | | 2.6 | 2.7 | | 2.7 | 2.8 | | 2.8 | 2.9 | | 2.9 | 3.0 | | 3.0 | 3.1 | | 3.1 | 3.2 | | 3.2 | 3.3 | | 3.3 | 3.4 | | 3.4 | 3.5 | | 3.5 | 3.6 | | 3.6 | 3.7 | | 3.7 | 3.8 | | 3.8 | 3.9 | | 3.9 | 4.0 | | 4.0 | 4.1 | | 4.1 | 4.2 | | 4.2 | 4.3 | | 4.3 | 4.4 | | 4.4 | 4.5 | | 4.5 | 4.6 | | 4.6 | 4.7 | | 4.7 | 4.8 | | 4.8 | 4.9 | | 4.9 | 5.0 | | 5.0 | 5.1 | | 5.1 | 5.2 | | 5.2 | 5.3 | | 5.3 | 5.4 | | 5.4 | 5.5 | | 5.5 | 5.6 | | 5.6 | 5.7 | | 5.7 | 5.8 | | 5.8 | 5.9 | | 5.9 | 6.0 | | 6.0 | 6.1 | | 6.1 | 6.2 | | 6.2 | 6.3 | | 6.3 | 6.4 | | 6.4 | 6.5 | | 6.5 | 6.6 | | 6.6 | 6.7 | | 6.7 | 6.8 | | 6.8 | 6.9 | | 6.9 | 7.0 | | 7.0 | 7.1 | | 7.1 | 7.2 | | 7.2 | 7.3 | | 7.3 | 7.4 | | 7.4 | 7.5 | | 7.5 | 7.6 | | 7.6 | 7.7 | | 7.7 | 7.8 | | 7.8 | 7.9 | | 7.9 | 8.0 | | 8.0 | 8.1 | | 8.1 | 8.2 | | 8.2 | 8.3 | | 8.3 | 8.4 | | 8.4 | 8.5 | | 8.5 | 8.6 | | 8.6 | 8.7 | | 8.7 | 8.8 | | 8.8 | 8.9 | | 8.9 | 9.0 | | 9.0 | 9.1 | | 9.1 | 9.2 | | 9.2 | 9.3 | | 9.3 | 9.4 | | 9.4 | 9.5 | | 9.5 | 9.6 | | 9.6 | 9.7 | | 9.7 | 9.8 | | 9.8 | 9.9 | | 9.9 |10.0 | The data is a scatter plot with 'x' and 'y' as the variables, but the labels for the scatter plot are not explicitly provided in the image.
bar
| Category | Value | |---|---| | Category 1 | 100 | | Category 2 | 50 | | Category 3 | 30 | | Category 4 | 20 | | Category 5 | 15 | | Category 6 | 10 | | Category 7 | 8 | | Category 8 | 6 | | Category 9 | 5 | | Category 10 | 4 |
natural_image
Prohibition sign showing sun above eye and a diagonal line (no text or symbols)
bar
| Category | Value | |---|---| | Category 1 | 3 | | Category 2 | 4 | | Category 3 | 5 | | Category 4 | 6 | | Category 5 | 7 | | Category 6 | 8 | | Category 7 | 9 | | Category 8 | 10 | | Category 9 | 11 | | Category 10 | 12 | | Category 11 | 13 | | Category 12 | 14 | | Category 13 | 15 | | Category 14 | 16 | | Category 15 | 17 | | Category 16 | 18 | | Category 17 | 19 | | Category 18 | 20 | | Category 19 | 21 | | Category 20 | 22 | | Category 21 | 23 | | Category 22 | 24 | | Category 23 | 25 | | Category 24 | 26 | | Category 25 | 27 | | Category 26 | 28 | | Category 27 | 29 | | Category 28 | 30 | | Category 29 | 31 | | Category 30 | 32 | | Category 31 | 33 | | Category 32 | 34 | | Category 33 | 35 | | Category 34 | 36 | | Category 35 | 37 | | Category 36 | 38 | | Category 37 | 39 | | Category 38 | 40 | | Category 39 | 41 | | Category 40 | 42 | | Category 41 | 43 | | Category 42 | 44 | | Category 43 | 45 | | Category 44 | 46 | | Category 45 | 47 | | Category 46 | 48 | | Category 47 | 49 | | Category 48 | 50 | | Category 49 | 51 | | Category 50 | 52 | | Category 51 | 53 | | Category 52 | 54 | | Category 53 | 55 | | Category 54 | 56 | | Category 55 | 57 | | Category 56 | 58 | | Category 57 | 59 | | Category 58 | 60 | | Category 59 | 61 | | Category 60 | 62 | | Category 61 | 63 | | Category 62 | 64 | | Category 63 | 65 | | Category 64 | 66 | | Category 65 | 67 | | Category 66 | 68 | | Category 67 | 69 | | Category 68 | 70 | | Category 69 | 71 | | Category 70 | 72 | | Category 71 | 73 | | Category 72 | 74 | | Category 73 | 75 | | Category 74 | 76 | | Category 75 | 77 | | Category 76 | 78 | | Category 77 | 79 | | Category 78 | 80 | | Category 79 | 81 | | Category 80 | 82 | | Category 81 | 83 | | Category 82 | 84 | | Category 83 | 85 | | Category 84 | 86 | | Category 85 | 87 | | Category 86 | 88 | | Category 87 | 89 | | Category 88 | 90 | | Category 89 | 91 | | Category 90 | 92 | | Category 91 | 93 | | Category 92 | 94 | | Category 93 | 95 | | Category 94 | 96 | | Category 95 | 97 | | Category 96 | 98 | | Category 97 | -100 | The chart displays the values for each category. The data is presented in a single column format with 'Category' as the index of the row. The values are explicitly labeled on the bars. There is no additional data series or trends present in this image. The values are estimated based on the provided code.
natural_image
Abstract pattern of black squares on white background with no text or symbols
natural_image
Vertical black and white gradient bar with no text or symbols
natural_image
Vertical black and white gradient bar with no text or symbols
natural_image
Prohibition sign showing sun above eye and a diagonal line (no text or symbols)
scatter
| x | y | |---|---| | 0.1 | 0.9 | | 0.2 | 0.85 | | 0.3 | 0.75 | | 0.4 | 0.65 | | 0.5 | 0.55 | | 0.6 | 0.45 | | 0.7 | 0.35 | | 0.8 | 0.25 | | 0.9 | 0.15 | | 1.0 | 0.05 |
natural_image
Vertical black and white gradient bar with no text or symbols
natural_image
Abstract pattern of black squares on white background (no text or symbols)
BRESSER®
Asistent návodu
Poháněno společností Anthropic
Čekání na vaši zprávu
Informace o produktu
Značka : BRESSER
Model : Montana 10.5x45
Kategorie : Dalekohledy